2023 in Focus – Executive Trends

“Information is power. Particularly when the competition ignores the opportunity to do the same.” US billionaire Mark Cuban.

 At Rialto, we pride ourselves on staying abreast of current and emerging market trends with one eye on the present and another into the future. This is one of the ways in which we support our clients from c-suite and senior leadership level to stay ahead of the competition, whether seeking career progression or career transition.

We share some of the most relevant, timely insights our executive career coaches and other colleagues through our regular articles and blogs, and our quarterly programme of webinar events

Here, we review what we believe to have been the top five themes of 2023, largely aligned with our predictions from the end of last year, linked back to some of our previous insights and articles of the year.

1: Generative AI

Without doubt, Generative AI was the biggest business trend of 2023 and, barring any unanticipated seismic disruptions, most likely to hold its place into 2024 and beyond. This time last year, ChatGPT was a bit of a novelty. People were using it to write poems to their dogs and test its joke-telling ability. Two months later, it had broken all records by acquiring 100 million active users. In May 2023, a Gartner poll of 2,500 executive leaders found that publicity around ChatGPT had driven almost half of them to increase AI investments with 70% in exploration mode and 19% piloting or using the technologies.

As we head into 2024, the breadth and scope of generative AI and its more analytical technological sibling, large language models (LLMs), is almost limitless, affecting every single sector and function of work with a market expected to grow from $6.2 billion in 2023 to $58.5 billion in 2028.

Over the last year, Rialto insights, articles and webinar events have reported on the dazzling potential of GenAI applications in areas including, but not limited to: intelligent recruitment, training tailored to current and anticipated skills needs, market trend analysis and response, enhanced employee engagement, resource optimisation, supply chain management, sales and marketing, personalised customer experiences, report writing, content generation, sentiment analysis and insights, data management and analysis, internal communications, real time reviews of diversity, equality and inclusion policies and sentiment.

We also looked at research into which areas were expected to see the biggest productivity gains from AI while this article looked at how c-suite executives should be forming a strategic relationship with technology to drive impact. Here we looked at key areas where HR leaders can harness AI to revolutionise recruitment processes, enhance employee experiences, and provide data-driven insights to inform strategic decision-making HR.

Rialto has been ahead of this sharp curve in raising awareness with many senior level clients on how to become proficient in these technologies, building the confidence and expertise needed to oversee transformation strategies to integrate appropriate applications seamlessly and safely across the business. We have supported others seeking new opportunities to learn the language and capitalise on the capabilities of AI or pivot towards emerging technology-based C-suite roles such as chief data officer, chief information security officer or chief digital officer.

A central role played by these new positions is to safeguard organisations from reputational and AI financial risks.

Highly-trained co-pilots will be essential in managing ethics and compliance, monitoring accuracy and, of course, ensuring all AI-driven objectives and outcomes are imbued with human sensitivity. Here Rialto explored five skills needed for an AI-enabled executive workforce.

2:  Resilience and adaptability

Disruption and unpredictability have become the new normal. Today’s business leaders need to be able to absorb the shocks, endure adversity and adapt their business models, cultures, systems and workforces to respond and adapt fluently, with resilience no longer being a “Nice-to-Have”.

Executives have had another tumultuous 12 months, dealing with the legacy of 2022’s UK leadership chaos, sky-high inflation, rocketing costs and energy prices, economic uncertainty and pessimism, a slow job market, conflict close to home in Ukraine and Middle East, continued post-pandemic changes to working culture, not to mention the new technologies discussed above.  Those who have shown resilience and adaptability have been better able to create a unified, collaborative business environment, driving cultures of innovation and learning, and making faster and more dynamic decisions.

On a more personal level, in-position executives continue to need to adapt their own leadership style and skills to evolve with the fast-changing market and the traditional requirements of their roles. We looked at common challenges faced by those preparing for navigating senior leadership transitions, Top Resilience Strategies during Career Transition and how to turn a negative into a positive, making the most of rejection in an executive job search. while this piece looked at ways executives can adapt, evolve and pivot to reposition themselves in a more desirable, future-focused niche.

3: Strengthening relationships

Whether encouraging belonging among increasingly geographically-isolated staff, developing a wider network or consolidating stakeholder partnerships, building stronger relationships has shown itself to be at the heart of successful leadership in 2023.

A recent YouGov poll found that half of UK employees work from home some or all of the time and while the jury is out on the impact on productivity, many surveys have shown that distance workers often feel disconnected and worried they are invisible and so less likely to progress in their careers. C-suite need to work with HR to explore more collaborative operating models to recreate the interactive and sociable in-person dynamic alongside well-organised real life meet-ups. This approach can help avoid drops in morale and productivity, pitfalls of silo working, to build cohesive cultures, positive workforce identity and maximise joined[up performance.

In this insight, our expert Rialto executive career coaches shared five essential strategies they encourage executives to employ when seeking to enhance their leadership influence to motivate teams, engage stakeholders, inspire confidence and shape outcome from a distance.

We also looked at the value of continuous executive networking to build new and reinforce existing partnership relations. Data from McKinsey shows that only 14% of professionals have grown their networks since 2020, while less than 50% reported making any effort to do so. Yet the more extensive & relevant your network is, whether long-established or newly-connected, the greater your reach when you need to expand into new sectors or terrains or bring in expertise for business or personal growth. We looked at four key activities we recommend our executive clients to practise when networking: personal benchmarking, development and growth, gaining wider perspectives on innovation and sharing insights and advice.

4: Still reaching for Glass Ceiling

This term was first coined in 1978 to describe the invisible social barrier preventing women from reaching higher levels then almost exclusively occupied by men.

More recently, its meaning has been expanded to include any prejudices or working conditions that hold individuals back, whether due to gender, race, disability, mental health, age, sexuality or gender identification. 2023 also saw people start to talk about the impact of the menopause on women in the workplace and ask how explorers could support them.

Equality, diversity and inclusivity (EDI) are now built into any successful business model and there are legal requirements to do so with serious consequences for discrimination.

Rialto director Richard Chiumento says: “Most executives may remember a time when the boardroom and senior management were homogenous zones of white males. Today, it is a joy & much more appropriate to see a make-up from every cultural background and of all ages, a real diverse group of individuals which makes the workplace so much more vibrant, dynamic, productive and interesting”.

However, while things have improved greatly, and progressive business leaders are truly recognising the unmistakable value of having an expansive plurality of views, experience and backgrounds in any boardroom or business environment, there still remains much work to be done.

“We still hear from clients who are coming up against these discriminatory barriers, whether seeking to progress within their organisation or looking at career transition. We help them to identify and overcome them while also advising leaders how to capitalise on an increasingly global market by building visibly and displaying a genuinely inclusive and welcoming culture.”

From 2022, the Financial Conduct Authority set “comply or explain” targets for listed UK companies of 40% female board members including at least one senior position and at least one member from an ethnic minority background.

The deadline saw a flurry of new appointments, with 60% of new non-executive vacancies filled by women in 2021-2022.  However, the theme for 2023 was something of a regression with boards wary of geopolitical and economic tensions reverting to the security of experience over the unknown, suggesting that for some, it remains a box ticking exercise rather than a genuine commitment.

Headhunter Spencer Stuart surveyed the UK’s 150 biggest listed companies and found increased caution around appointing first-time directors, down to 31% from 44% the year before. The number of candidates from ethnic minority backgrounds was at its lowest level this year since 2020 while the proportion of non-executive vacancies going to female candidates peaked at 60% in 2022 but dropped to 51% in the 12 months to April, 2023.

Richard Chiumiento said: “Instead of just paying lip service to EDI, organisations need to set metrics and actively seek to redress any imbalances or obstacles to genuine equality of opportunity and remuneration parity. As well as ensuring compliance, this ensures better, more trusting and productive relations with employees, potential candidates and other stakeholders. Organisations that do not comply or only commit to the bare minimum risk a damaging financial impact as well as reputational damage.”

We spoke to some of our female clients about their experiences to mark International Women’s Day in March, 2023. They told us some of the greatest barriers they felt were thrown up by unconscious bias, imposter syndrome, misunderstanding of equality and AI bias within automated recruitment processes. You can read more and find advice from our executive career coaches here.

We will revisit EDI and look at the tangible benefits of a healthy and robust culture and policy in the New Year.

5: Talent shortages:

Post-Covid, we saw a “quiet quitting” trend, where employees and leaders at all levels stepped away or down in search of a better work-life balance having spent so much time out of the office during lockdowns.  In 2023, finding, attracting and keeping the best talent from the resulting smaller pool became a strategic priority for every sector and at every level, as did investing in existing teams.

We talked throughout the year about the many tools and methods organisations can employ to ensure they have an intelligent recruitment system and a positive culture, which encourages organisational commitment and an ethos of continuous learning and career progression.

We looked at strategic HR priorities including cultivating talent and upskilling, and taking the initiative with AI to help achieve those objectives and drive growth and productivity.

We looked at how predictive analytics can identify trends and patterns needed now and in the future. AI can then find potential candidates with those skill sets, even if passive, and tailor individual job offerings based on market and internal data and the individual’s experience and requirements. While generative AI can create and deliver bespoke training programmes designed to meet organisational and individual need and ensure the workforce remains agile and responsive to the dynamic internal and wider economic landscape.

We also analysed what this meant for our clients who were seeking career transitions. Unfortunately, our exclusive data revealed that the talent shortage had not led to an abundance of opportunities.

Our analysis of publicly-advertised mid and senior level executives and leaders found an incredibly worrying decline in vacancies. For example, in November 2022 there were 12,761 publicly-advertised UK Chief Executive Officer vacancies. In October, 2023 the number was down to just 115. Non executive directors were down from 4,034 to 42 and Chief operating officers dropped from 1,814 to 82. (figures are a snapshot, and not a 100% accurate depiction)

We shared some of the invaluable advice provided to senior clients on how to shine in a gloomy marketplace and some of the bright spots on the otherwise gloomy horizon.  Rialto director Nick Storey also shared his advice on staying ahead in executive career transition.

It has certainly been a tumultuous year and we hope you have found some of our insights and articles helpful in navigating the fast-changing marketplace and economic landscape. We will continue to monitor trends and developments across 2024. Please let us know if there is any subject or angles you would like us to look into.

In a recent survey, chief executives cited financial growth as the second highest priority for HR in 2024 after talent management.  HR leaders rated this tenth, revealing a disconnect which could be limiting potential for growth. CEOs also placed “efficiency and productivity” and “technology review and investment” much higher than HR Leaders.

Here are three key areas where HR Leaders and the C-suite should be working together to strengthen the contribution and impact of HR and add greater value to their organisation.

1: Leadership effectiveness  

HR need to constantly evaluate the evolving challenges and expanding responsibilities that functional business leaders are now expected to take on. A substantial three quarters of HR professionals acknowledge that leaders in their organisation feel overwhelmed by the growing scope of their responsibilities with more than half stating that their leaders bear more responsibility than they can effectively manage.

Regardless of sector or discipline, these are just a few of the day to daily challenges leaders may face on top of their specific positional duties: balancing short-term responses to crisis vs longer term visioning, cultivating fit-for-purpose behaviours, understanding and integrating fast-developing technologies, leading hybrid teams, managing multiple, sometimes competing stakeholders. On top of all that, they must oversee healthy cultures with clear EDI policies and execution and motivate workforces who may feel burned out and be seeking better work/lifestyle balances.

In order to thrive and drive productivity and efficiency, organisations require HR to step up and proactively support the path to navigate multiple priorities.  This means listening and being responsive. Among the strategies HR can employ to assist are: resetting expectations; enabling effective delegation and communication training through access to coaching and training for staff; simplification of structures and tasks; identification and help integrating new technologies to improve efficiency; and ensuring directives around business culture and expectations are clear and visible.

Leaders should be made to feel confident in asking for help without being judged and have built-in time for reflection and mentoring.

2: Talent Management and upskilling  

In the domain of talent management and upskilling, HR has an opportunity to take centre stage in its strategic input to the rapid evolution of workplaces and business models.  The integration of AI into HR functions will support the evolution of job specifications, with HR leveraging AI audits to assess skills, experience, and talent. AI applications will further empower HR to identify and cultivate individualised training programmes, aligning upskilling initiatives with the dynamic and agility needs of an organisation.

As the landscape of talent acquisition continues to transform, acquiring, retaining and optimising talent extends beyond traditional measures.  In a survey conducted by Gartner, only one in four employees surveyed said they felt confident about their careers. Scope for promotion, progression and personal enrichment can be as important as income when valued employees consider factors influencing their career decisions.

This shift requires a focus on creating a holistic approach encompassing employee wellbeing, coaching, transparent career progression and more flexible work arrangements as well as a commitment to continuous learning and upskilling.

Career progression is moving further away from being a vertical ladder with clear scripts and gateways, unfolding instead as a matrix with interconnected paths.  HR leaders should be ready to tailor talent strategies to these new business models which will open wider career possibilities, more diverse employee expectations and opportunities that represent finite cycles of work with dynamic possibilities for personal growth.

3: Embracing AI  

Surveys show C-suite buy-in to AI advantages is not being matched by enthusiasm from HR leaders. More than two thirds of executive leaders agree benefits of AI outweigh risks yet only a fifth of HR leaders are actively engaged in AI discussions across their organisations.

Most describe the application of AI as being something that will become increasingly important in the future. However, the most advanced organisations and their HR leaders are using it now to streamline processes, improve efficiency and enhance employee experiences, lifting HR’s role in the organisation.

First steps for HR are creating a framework to assess and identify appropriate AI applications and support departments to adapt existing organisational working models to assimilate and fully exploit their potential to drive progress and efficiency.  Importantly, they must also be aware of the risks and create a framework to ensure their ethical, transparent and responsible use.

There are known issues around generative AI, such as bias and a built-in tendency to “hallucinate” – literally to make things up. Whether you have AI tools built for your organisational needs or integrate existing applications, ensure there are humans testing, overseeing and constantly assessing output before it reaches any audience.

While younger generations may be unphased and embrace the fast pace of technology-driven change, adoption of frontier technologies may alienate some older workers who are already feeling bewildered by the pace of change, post-Covid, and worried about being displaced by automation.

Manage their concerns with genuine, effective two-way communication. Explain any changes, why they are necessary and how they will benefit them, ensure they get proper training to co-pilot the technology effectively, open channels for feedback, listen and respond.

If you want to learn how Rialto can help your HR teams to explore and prepare for the future of work and emerging business models, contact us on +44 (0) 20 3746 2960.

As organisations grapple with the complexities of talent management, employee engagement, and the ever-changing dynamics of the workplace, the adoption of AI emerges not just as an option but as a strategic imperative for HR.  Far from being a threat to traditional HR practices, AI serves as a powerful ally, with opportunities to revolutionise recruitment processes, enhance employee experiences, and provide data-driven insights to inform strategic decision-making HR. 

In the near term the potential to improve productivity through a more streamlined, focused, strategic HR function is around 30%, yet 56% of HR professionals believe it will be at least three years before they will be prioritising AI.    

To hold back in adopting AI now is to hold back on elevating the role of HR to new heights.  Here are five practical uses in which AI comes into play in HR functions: 

1: Recruitment and onboarding 

AI should be embraced in recruitment and onboarding processes for its ability to streamline and enhance the hiring experience. By leveraging AI algorithms to analyse applications, identify top talent, and automate routine tasks, organisations can significantly reduce time-to-hire, improve candidate matching, and ensure a smoother onboarding process, ultimately creating a more personalised experience for candidates and leading to a more efficient and effective workforce. Consider the following:

• Predictive analytics can help identify trends and patterns both outside and within an organisation and identify skills needed now and in the future by an organisation, department or team.
• AI can then find potential candidates with those skill sets, even if passive, and tailor individual job offerings based on market and internal data and the individual’s experience and requirements.
• Generative AI can produce marketing and recruitment materials.
• “Chatbots” can respond to job advert questions.
• AI-enabled software can sift through unlimited numbers of applications and produce shortlists based on organisational need, matching behavioural attitudes to company culture as well as qualifications and experience.
• Digital platforms can create and deliver automated onboarding and training programmes.

2: Talent management 

AI can act as a game-changer in talent management, offering insights into employee performance, career development, and succession planning. By harnessing AI algorithms, organisations can optimise talent acquisition, identify skills gaps, and foster a proactive approach to employee development, ensuring a strategic and future-ready workforce.  Consider:

• Tracking employee sentiment, predict exit risk and inform and advise managers to respond appropriately.
• Enabling and managing self-service portals allowing access to services, training and information and reducing the workload of HR professionals.
• Identifying and preparing potential successors for outgoing leaders to ensure a seamless transition.
• Automating repetitive tasks allowing employees more time for creative and collaborative work, boosting productivity and job satisfaction

3: Learning and development 

AI integration in learning and development is essential for personalised, data-driven insights that cater to individual employee needs. By leveraging AI-powered platforms, organisations can deliver targeted training, recommend tailored learning paths and continuously adapt content to keep pace with evolving skills requirements. It can be used to:

• Audit skills within an organisation and market trends to prepare for future needs.
• Identify which employees should be upskilled in which sectors and specialities to ensure a smooth, dynamic, responsive workforce.
• Create personalised training modules which adapt content to the individual and promote a culture of continuous learning.
• Design training to nurture soft skills such as resilience, leadership and adaptability to prepare for shocks, crises and disruptions.

4:. Compliance 

Navigating the intricate landscape of HR compliance has never been more dynamic and AI can streamline these processes, ensuring that nothing falls through the cracks. It can track and manage workflows related to compliance tasks, such as background checks or policy acknowledgments.    Create compliant documents and update them with legal and internal policy changes. Applications can:

• Detect any real or potential legal or regulation violations and alert appropriate departments in real time.
• Analyse pay equality and Diversity, Equity, and Inclusion (DEI) issues.
• Use algorithms to detect current and future risks by recognising anomalies such as insider trading or money laundering, freeing employees from the intensive, time-consuming analysis of vast amounts of data.

5: Administration:  

Overall, AI has a huge role to play in reducing administrative tasks by automating scheduling, carrying out data analysis, and report generation, allowing HR teams to optimise time management, make more data-driven decisions, and streamline communication to support change management and leadership initiatives. This can include:

• Providing automated HR support to staff.
• Writing and disseminating company announcements.
• Monitoring sentiment towards proposed and actual changes and creating communications to reflect and assuage concerns and build positivity.
• Tracking and recording content from meetings and highlighting action points.
• Generating and disseminating reports.
• Creating content for employee surveys, distributing, analysing responses and producing insights and action plans.

We encourage all HR teams to embrace the transformative potential of AI, moving it from being seen as a buzzword to a powerful workforce ally.

If you are a HR leader and would like to explore how to be part of the AI lead within your organisation or you are a senior executive and want to know more about how to AI can be used to transform HR into a more strategic, valuable, insight-driven asset, contact Rialto on +44 (0) 20 3746 2960.

The Rialto resident number cruncher has been tracking publicly-advertised executive-level vacancies for the past 12 months and our exclusive data for the year to October 31, 2023, reveals a truly worrying trend.*

Our analysis of the last year of publicly advertised senior vacancies looks like a Himalayan mountain range falling down to sea level – wild fluctuations bottoming out almost completely as traditional open c-level level positions all but dry up as the landscape shifts in the face of seismic shocks from the explosion of AI.

Here, Rialto director Richard Chiumento casts his expert eye over the figures –  and finds the bright spots on an otherwise gloomy horizon.

So, Richard, a pretty bleak picture emerging here?

In my 30 years of supporting global business leaders to take their next professional career transition I can honestly say I have never seen anything like it. It reflects what we’ve been hearing from our executive outplacement clients who are exploring moves into similar positions in different companies or sectors. Many come to us having drawn a complete blank with their usual actions of registering with headhunters (who have limited mandates to fill) or approaching target companies. I’m afraid this data only confirms worst fears. The volume of the most senior level positions is reducing quickly and substantially.

Which Executive roles have been hit hardest?

In terms of traditional mid and senior level executives and leaders, the decline in vacancies is across the board CEOs, CMOs, HR directors, NEDs, COOs, etc, and it is global. For example, our data shows that in November 2022 there were 12,761 publicly-advertised UK Chief Executive Officer vacancies. In October, 2023 the number was down to just 115. Non executive directors were down from 4,034 to 42 and chief operating officers dropped from 1,814 to 82.*

We have to be careful as these are not definitive figures but they do show real indicative trends which we discuss and use to plan successful strategies with our clients. We can also see old-style candidate profiles diminishing as traditional executive functions start to disappear.

What’s behind it?

A perfect storm of factors: the legacy of Covid, economic uncertainty, the geopolitical tensions in Russia, Ukraine and now the Middle East; inflation and rising interest rates have led to a cost of living crisis. Consumers are buying less and companies are reacting by investing in pay increases where possible and cutting their own costs where they can. They are accelerating digital transformation and investment in generative AI and other frontier technologies rather than people. Many have imposed a recruitment freeze and are choosing to reshuffle internally or are culling expensive senior staff – particularly those who have failed to stay relevant to organisational, market and customer needs and don’t recognise that they need to stay open to continuous learning.

So should people just hold on and wait for the storm to settle?

It’s not that simple I’m afraid and we tell our clients that doing nothing is not an option. Against the background of this inauspicious economic landscape we find ourselves in the midst of the greatest revolution to hit the workplace in history.

Last week, Elon Musk told Rishi Sunak he believed AI would one day make all job functions obsolete and that we would all get to choose whether we want to work as a sort of recreational hobby. I don’t buy into that though I do agree AI will have a seismically disruptive impact.

Historical projections about AI-related job losses have put the repetitive tasks in the firing line, driving, coding, accounting. However, our data shows that executive segments are equally vulnerable.

Senior level individuals are better off actively taking control of their career asset and driving assertively into the future instead of sitting back and allowing their value to rust and  depreciate.

I’ve been talking about the transformative impact of AI for a long time and it’s no co-incidence that we started tracking this data in November, 2022 when ChatGPT launched and changed the way work is done. The generative AI that powers it and other models such as Bard, Perplexity, Cohere Generate, AlphaCode, Synthesia, will have more of an impact on our lives and workplace than any other technological development in history. Companies are already drastically reducing and rebalancing their workforces as they adopt these efficient new technologies. Where they are recruiting in numbers it’s in these new technology-led spheres.

This is not like the previous downturns we have seen – this is the dawn of a new era and there’s no going back. But there are positives – there are new opportunities opening up which see executives working alongside AI, co-piloting, and these are the roles for the future.

What are the emerging executive roles?

We also analysed emerging roles being created by companies looking for different skill sets as they employ new business models, digital transformation and generative AI applications. They include chief automation officer, chief digital officer, chief data officer and chief experience officer. We are seeing real growth in these roles and a shortage of skills, in contrast to the massive oversupply of traditional senior role skillsets. It’s the new skillsets and opportunities we support our clients to pivot into.

What actions are you taking to enable clients to make the jump.

It’s more of a turn, a pivot, than a jump. We’ve been able to look at the big picture and join up the dots between old world and new.

We help senior executives realise how they need to adapt and evolve, upskill or reskill; that’s whether they wish to stay in their current role, move to a new company in a similar role or move into one of these new roles I’ve discussed. Some are doubtful, initially, either because they are fearful and overly-pessimistic about being obsolete or over-confident that they can live off past glories. Our market mapping data really supports what we’ve been advising them: they need to be as dynamic as the times, keep moving forwards.

We have a finely-tuned and highly successful programme to help them to stay relevant. We identify and evaluate their aspirations and risk factors against our knowledge and research of current market trends.

We identify the priorities, actions and opportunities that would best suit each individual according to their own unique set of goals, skills and experience. We encourage our senior level clients to feel positive and confident about their place in this new world and to be proactive about positioning themselves as the best, most informed, stand-out candidate when they set their sights on a new position.

How do you see the picture developing?

The existing world of work is dying and the skills that made people attractive to employers are dying with them in most sectors and in most functions. The pace of change is faster than I think almost everyone realises. The World Economic Forum says 1.1 billion workers will need to reskill before 2030. Our core message to clients is this: the executive job market is moving faster & is more disruptive than at any time in history – if you stand still, you’re going to get left behind.

Figures are not 100% accurate and should be read as a trend rather than as definitive data.

*Sources: LinkedIn up to July and Adzuna from August to October 2023. Figures are not 100% accurate and should be read as a trend rather than as definitive data.

In the words of our Director, Richard Chiumento, “You probably will not lose your job to AI, but you will lose it to a human who is using AI effectively.” An organisation is extremely unlikely to replace its leadership team with artificial intelligence (AI), but rather must enable its C-Suite to form a strategic relationship with technology to drive impact. Doing so will require a baseline understanding of how AI can benefit the business, and how to derive maximum value from it.

While many existing roles will be replaced by technology over time, businesses are unlikely to eliminate their entire workforce in favour of technology, despite the bleak predictions we often see making headlines. Rather, what lies ahead is a massive reshaping of the working world and ‘modern’ workplace as we have traditionally known it through the optimisation of everything we do, every process, and every production. The C-Suite will hold the responsibility of guiding the organisation through this transformation, which will require effective management and fostering a closer relationship with technology by all.

In this article, we provide key factors for organisations and senior leaders to consider to effectively leverage the current AI wave.

Differentiating Between Tactical and Strategic Uses of AI

Business use of AI can be split into two categories: tactical and strategic. What this looks like in practice will vary by business, but here are some general use cases to be aware of based on the solutions available in the marketplace:

• Tactical: Drafting text copy and imagery for marketing materials, sending outreach messages, communicating with prospects, automating parts of the manufacturing process, taking notes across sales interactions, answering customer queries through chatbots, screening job candidates, delivering tailored training, generating reports, etc.

• Strategic: Gauging customer sentiment through social listening, analysing historic data to identify opportunities, assessing performance, reducing production costs, streamlining operations, monitoring employee performance and engagement, lead prediction and scoring, competitor research, etc.

Understanding the Tactical Side of AI

The C-suite will likely have very little to do with the tactical uses of AI as part of their everyday role but should still be concerned with these practices. Team leaders should decide which systems to adopt, which vendors to work with, and where to invest. For this to be successful, each member of the C-suite will need to work collaboratively with their teams to identify where opportunities and efficiencies sit.

It is therefore critical for the leadership team to understand how specific areas of the business can benefit from the adoption of technology and how that might feed into the bigger picture. For example, the marketing, customer service, and sales functions are the most outward-facing functions of the business and stand to benefit greatly from the introduction of AI systems. It is likely that these functions will use generative AI to automate their communications with customers, create more compelling materials, become more targeted, and deliver the right offer in the right place at the right time. The CMO and CRO will need to work with these teams to find out which tasks could benefit most from AI’s helping hand and crafting a case for investment.

On the Operations and Supply Chain side, ongoing disruption has made an already challenging role even more difficult. The expectations placed on the COO will be to improve decision making, keep things running smoothly, and ensure cost efficiencies. They will need to think about how AI can facilitate innovation and identify how investing in new tools might improve long-term revenue and contribute to overall productivity and efficiency.

The urgent business need for digital transformation has fundamentally changed the CIO role from IT operator to business strategist. The CTO and CIO will be concerned with the technicalities of AI adoption and will most likely lead any conversations about vendors and tools. The ability to communicate the value of complex technology to the business is critical, as is the skill to drive and manage long-term change. Tactically, they will oversee the actual implementation of AI systems and need to ensure that the business possesses the necessary infrastructure, hardware, and software.

The CFO will most obviously be concerned about the cost of any AI investment and the returns it will generate. In addition, adopting the right AI will play a huge role in supporting the expectations of shareholders, regulators, and audit committees specifically in providing information in the areas of financial and nonfinancial reporting, transparency, and governance. The CFO will need to work closely with the other leaders to provide structures for governance of AI models to help ensure end-to-end AI governance. This will span from defining the AI strategy through training, testing, deploying and monitoring AI and the data used to train it.

Meanwhile, the CEO will have to keep a finger on the pulse of all this activity. They will be assimilating the massive amounts of data from AI initiatives taken forward by their peers to form answers to complex strategic questions at a massively accelerated rate. The CEO will also likely be the public face of the business’s transformation and will need to communicate with key stakeholder audiences both internally and externally.

In summary, despite not having a hands-on role in the tactical use of AI day-to-day, the C-Suite will need to stop going it alone and start thinking with a machine, using increasingly sophisticated analytic tools to help them rally the organisation. Selecting the right AI solutions, deciding what processes are automated, where money is spent, and how the business can benefit through business model transformation will be critical. This will require a need to ask questions that weren’t previously economical to answer as well as questions they didn’t even know to ask.

Leveraging the Strategic Side of AI

Most businesses possess more data than they know what to do with and in today’s increasingly digital age, even more is accumulated each day. This data is a goldmine of untapped potential that can offer a genuine snapshot of the business, its customers, stakeholders, and performance. However, to try to manually assess this data is a fool’s errand. It would take far too long and by the time any real progress is achieved, so much more new information will have been generated that the old data is obsolete.

Making sense of a business’s data in a tangible and useful way is the most valuable strategic benefit AI offers. In such a competitive landscape where customer habits change regularly and disruption is always on the horizon, having real-time insight into the business can help in staying ahead of the curve and gaining a competitive edge.

Measurement of KPIs is often focused on hard figures such as revenue, number of sales, and other tangible metrics. But every C-Suite executive knows that cost and value is often not that simple to nail down. There are often soft KPIs that are harder to measure but impact the business nonetheless. This includes reputational gains, employee or customer satisfaction, perceived CX, and loyalty. Because these indicators are not tied to an organisations figure, they are often harder to quantify.

AI can help with this, too. Again, the C-Suite will not need to have much direct interaction with tactical AI platforms on a regular basis, but these solutions and their activity can generate insights that can make the C-Suite more effective at what they do. For example, your marketing team’s social listening tool can provide insight into who your customers are, what matters to them, and how they feel about your business. Your sales team’s CRM platform will offer plenty of intelligence into what it takes to attract new prospects and what it takes to retain them. All of this information can be fed back to the C-Suite to help inform their wider strategy and measure success in a much more nuanced way.

The C-Suite will need to redefine the KPIs of the business for the AI age. This is where that grasp on the tactical side of AI comes into play. By understanding how each function of the business uses technology, it becomes possible to determine what can and should be measured. For example, if you know your sales team is using AI to manage relationships with existing customers, you can ask them to measure retention and loyalty. AI tools offer advanced reporting capabilities which help the C-Suite gain a deeper knowledge of the business as a whole. With this information in their arsenal, the leadership team can be much more targeted in their strategic objectives, agile in a crisis, and smarter with their budgeting.

Developing a future focussed workforce

But of course, with any significant change comes resistance, hesitation, and discomfort. It is likely that integrating AI into normal business practices will be met with all of these. Businesses are likely to encounter negative mindsets from their teams and this can include those in the C-Suite. Here are some common negative mindsets our team have come across and advice on how to overcome them

• Replacement: With so much hysteria surrounding AI and several bleak predictions pertaining to massive job losses, it is understandable that your people will be concerned about job security. How the leadership team communicates with the rest of the organisation will be critical here. Instead of shying away from these fears, address them head on. Acknowledge that this is a big change for everyone but provide reassurance that your people will be active participants on this new journey. Set expectations, and assign actions and owners. That way, employees will be reassured of their value and feel more secure in their place with the company. If there are redundancies to be made, be honest about that, too. However, do not leave those you let go of to fend for themselves. Invest in Executive Outplacement services such as those offered by The Rialto Consultancy to support these employees through the transition and help them to land on their feet.
• Obsolescence: Witnessing how impressive and effective AI can be at tasks people have been contending with for years may stir up feelings of intimidation. Individuals may begin to question both their value and their abilities. The truth of the matter is that AI is an assistant, not a boss. When AI takes over those more routinised tasks, it will create more time for individuals to focus on value-add activities that technology cannot yet replicate. This includes creative thinking, strategy, and providing a human touch to the customer journey. The leadership team will need to reshape the roles of their team to assign new purpose behind them. While experiencing changes in one’s role may be uncomfortable at first, it can also reinvigorate individuals and breathe new life into their careers and levels of motivation. The C-Suite will need to consider how to best reshape responsibilities in their organisation to provide adequate support for AI while deriving the most impact from their human workforce.
• Complacency: On the other side of the coin, after witnessing how effective AI can be, individuals may begin to incorrectly assume they can hand off their entire workload to technology. While generative AI is impressive in its current state and growing smarter rapidly, we have not yet reached a point wherein technology can replicate certain human capabilities. When reshaping your people’s roles, it is important to emphasise that their new responsibility is to fill the gaps that technology cannot currently replicate. AI should always be presented as a partner rather than a substitute. By setting expectations early and clearly defining the roles of both technology and humans, the leadership team will be sending a clear message that there is still very much a job to be done by their employees.
• Inadequacy: However, some of your people may be more tech savvy than others and will pick up new tools quickly. Those outside of this camp may struggle and feel ill-equipped to cope with new technology, especially if they have become accustomed to doing things a certain way. You will need all your people on the same page and performing at the right level and may need to invest time and money to get there. It is important to not let these employees struggle in silence. You therefore need to develop a culture of open communication wherein everyone feels encouraged to speak and feels reassured that they are heard. Conducting check-ins with both managers and their direct reports can help the leadership team—especially the HRD or Chief People Officer (CPO)—to gauge where issues lie and where intervention is needed. It will also be crucial to provide necessary training for new tools, whether that be conducted in-house or externally.

Securing Necessary Skillsets

The C-Suite must be strategic about how they develop the necessary skills for successfully deploying AI and using it in practice. A lot of this will fall on the HRD and CPO, but each member of the C-Suite should be just as concerned and involved. Again, training will be necessary as AI skills will not just manifest on their own. The leadership team will need to decide the best approach for themselves, their people and budgets. In some cases, it may make sense to conduct in-house training led in collaboration with the Technology function and HR. It may also be of value to bring in outside experts such as vendors or consultants. You may need to conduct not only technical training, but also offer coaching to help create new mindsets conducive to supporting cultures of change. In other cases, it may make more sense to fund and encourage individuals  to pursue their own upskilling and continuous learning development outside of the organisation. While this lifts the burden of having to organise training in-house, it offers less control. You may not be able to ensure that all of your people are developing the essential skills and covering the necessary bases. The C-Suite will need to seriously consider which option best suits their needs and shape their upskilling programmes accordingly.

You may also consider introducing necessary skills through recruitment. This is a strong option for securing more specialised skillsets that might be costly or time consuming to cultivate with existing team members. Depending on your needs, you may want to secure a full-time employee for this, or may find that a temporary contractor will suffice. However, given the ongoing skills shortage and fierce competition for qualified candidates, businesses should be prepared to face difficulties in securing the talent they need. The leadership team will need to consider their value proposition for new hires. Gaining an understanding of what today’s professionals expect from their employers can help to both attract and retain valuable talent. The C-Suite may need to reshape their hybrid work policies, employee benefits packages, and overall corporate culture.

While the AI landscape is fast-developing and ever-changing, adopting it successfully does not need to be difficult. If the C-Suite is willing to invest time and effort into their own learning whilst building the right physical and emotional infrastructures, the organisation is more likely to reap technology’s business value with minimal disruption.

To get started, explore our upcoming AI-focused webinars.

If you are looking to build cultures of change within your organisation or further your own Leadership Development, we can help. Get in touch with us to discuss our Business Transformation services.

Today’s customers and markets are vastly different from five, let alone 10 years ago. The sheer pace of change, digital transformation and disruption of traditional models and markets are among the factors that are radically altering the world of enterprise. Leaders have to respond to them and ensure their organisations and workforces can adapt to these new demands more readily than competitors. And they need to ensure they have the agility to continually react and respond to the changes as their growth and bottom line depends on it.

This white paper sets out to show leaders some of the areas and issues they need to consider to ensure their organisations have the agility and adaptability to remain ahead of the curve and their competitors in the digital age.

At Rialto, we often stress the importance of artificial intelligence (AI) for the future of business. We published a white paper on the digital imperative, discussed how to navigate your career through technological change, outlined strategic priorities for leadership, made predictions for AI’s role post-pandemic, and highlighted some of the ways that AI can help with leader’s people management challenges. This technology has impossibly vast potential that is finally coming into mainstream acceptance, meaning that innovation is happening at a rapid pace with changes happening frequently.

There are a number of forward-thinking leaders who got on board early and are now exploring more advanced applications of AI, but the majority of global business leaders are just beginning on their journeys. In this article, we aim to bring leaders up to date with the state of AI as of Q1 2022, and put this into context in terms of what may be expected of their role during the adoption journey of AI in transforming business models.

The Current State of AI

AI adoption has only continued to grow in the past year, with more businesses and their decision makers coming to grips with this technology. In McKinsey’s latest State of AI survey, 56% of all respondents reported AI adoption in at least one function of their business, which is an increase of 6% from the 2020 survey. Gartner’s Second Annual Emerging Technology Product Leader Survey found that the majority of respondents (87%) predict industry-wide funding for AI will increase at a “moderate to fast pace” throughout 2022. Their survey also found that a third of global organisations with plans to adopt AI intend to invest $1 million or more into the technology over the next two years.

Zooming in on the UK, it seems as though businesses of all sizes are betting on tech for their recovery and growth efforts. The Department for Digital, Culture, Media & Sport (DCMS) recently published a report on the current and future use of artificial intelligence by UK businesses, which found that around 15% (432,000) of all UK businesses have adopted at least one AI technology, while around 2% (62,000) are currently piloting AI and a further 10% (292,000) plan to adopt at least one AI technology in the future. 68% of large companies, 34% of medium sized companies, and 15% of small companies have adopted at least one AI technology.

IT and telecommunications (29.5%) and legal (29.2%) currently have the highest rate of adoption, while hospitality (11.9%), health (11.5%), and retail (11.5%) represent the lowest adoption rates in the UK. In terms of actual use cases, the DCMS report found that AI solutions for data management and analysis are the most commonly adopted with 9% of UK firms having adopted them. This is followed by natural language processing and generation (8%), machine learning (7%), AI hardware (5%), computer vision and image processing and generation (5%) tools. Looking ahead, the DCMS report predicts that expenditure on AI technologies could increase to between £27.2 billion and £35.6 billion by 2025. By 2040, that figure could increase to between £50.4 billion and £127 billion.

This reaffirms what we already know: AI is inevitably the future of business and the majority of leaders will need to become more confident in utilising AI. The increase in adoption rates indicate that the resistance to transformation is dwindling as many of the hold outs enter the exploration phase and the more forward-thinking businesses transition to application or explore further AI projects. For transformation projects to be successful, there needs to be buy in and involvement at every level and department. Whether your organisation is just embarking on its AI journey or looking ahead at what other problems this technology can solve, there will certainly be impacts on your specific role and function.

The Role of Senior Leadership

CEOs

The role of the CEO or top executive of the organisation is that of both decision-maker and champion. These executives are tasked with delivering results to various stakeholder groups, while also serving as the public face of the business. The two entities are so deeply intertwined that the failures of the organisation are often considered to be the failures of the CEO in the court of public opinion. Plotting, strategising, and delivering a change project is a massive undertaking and a huge responsibility for the CEO. Getting it right will ensure happy stakeholders and customers, but getting it wrong could have major career consequences.

Of course, any transformation plans should come from the board as a whole, but it is often the CEO who has the final say. Typically, they are also the ones responsible for selecting which tools to adopt, sometimes with input from the CTO or other knowledgeable parties. However, not every organisation has a tech expert on hand to advise, and CEO or top exec might have to go it alone. Therefore, it is essential that these leaders have a strong understanding of AI and its capabilities so that they may make informed decisions about the future of their organisation. Continuous learning and upskilling will be valuable to professionals in all functions, but for top leaders especially. Seeking out training, keeping up to date with the news, or pursuing a proper course on AI can make a massive difference. The most successful leaders are those who realise the world is changing around them and work to change with it.

But arguably more important is the CEO’s role as a champion of change. Wherein staff in the organisation will need to adapt to working alongside these tools, the CEO is not likely to see their role massively reshaped by AI. Instead, top leaders will need to focus on getting the rest of the team on board and encouraging a willingness to give this technology a try. Change is uncomfortable, and there will likely be staff who resist the introduction of new tools. The team will be looking to their leadership for guidance and reassurance, and the CEO is about as senior as it gets. Your people will be looking to the top in order to assess the legitimacy of these new mandates. Does it seem like you truly believe in what you are saying? Are your words telling one story, but your actions telling another? Top executives need to lead by example. If you want your people to buy into new initiatives, then you yourself need to practice what you preach and truly understand what you are asking for.

The Rest of the C-Suite

The rest of the C-Suite serve as the top representatives for each of the business’s various functions, including Marketing, Finance, Operations, Technology, Sales, Growth, and so on. Individually, these executives are responsible for their individual departments and all the staff and activities that fall under their domain. Collectively, these leaders must unite these individual pieces to work towards the best interests of the business. If the sum of its parts is successful, then the senior leadership team could be considered successful as a result.

At this level, you may find yourself less concerned with the day-to-day use of automation tools in your role and more focused on the ‘why’ of it all. It will be your responsibility to determine what role technology will play in your function, give input into the tools that will be introduced, and help to form a business case for adoption and transformation. But more important than that, your role will be to champion and to help shift the rest of the organisation towards an AI mindset. While the CEO may serve as the main spokesperson for your company’s transformation efforts, it will fall on you as a top-level executive to reinforce that message within your division of the company. It is crucial for the senior leadership team to present a united front when it comes to change management. That way, the message is clear and reinforced. Communicate clear expectations with your team so that there is an unimpeachable understanding of roles and responsibilities. Depending on the structure of your organisation, you may choose to funnel this message down via your managers, but your stance as the head of your department should never be in question. Help form the plans and stick by them once they are introduced. Otherwise, you risk losing all confidence from your team and your project may be doomed before it even has a chance to begin.

HR Director

When undergoing a transformation project, ‘people costs’ need to be factored in alongside the costs of the technology itself. According to the DCMS report mentioned previously, the 432,000 UK companies who had already adopted AI in 2020 spent a total of £46.0 billion on labour associated with the development, operation, or maintenance of those technologies. The average labour spend was £24,400 per small business, £1.7 million per medium business and £3.1 million per large business. This overall expenditure is predicted to increase to between £80.2 billion and £103.2 billion by 2025, and between £185.2 billion and £456.0 billion by 2040.

HR Directors (HRDs) will likely be the ones tasked with managing this expenditure, whether it be via onboarding new talent or upskilling existing staff. When adding talent to the team, it will be essential to look for baseline technological skills, but attention should also be paid to the types of capabilities that technology cannot match in order to create a well-rounded team. These are what we typically consider to be ‘soft skills’ such as communication, creativity, strategy, and so on. If adding new talent to the team is too costly, investing in the people you have is a strong option. Upskilling initiatives will likely fall under HR’s domain

Beyond ensuring the right talent and skills are on hand to cope with new technologies, AI tools can also be used to help facilitate a lot of these processes. AI can help to automate some tedious activities that eat up time for HRDs. For example, AI can help with document verification and data entry, scheduling staff, managing leave, setting up meetings and appointments and automating communication with prospects and current staff. Automation can be introduced to various stages of the recruitment process to streamline the experience for the candidate and save time for the HR team. But further than that, AI can help with a major challenge HRDs currently face: retaining their staff in the wake of the Great Resignation.

AI can be leveraged here to gain insight into the mindsets of current staff. How satisfied are your people? What has motivated them to stay, or what is driving them to leave? AI can help provide answers to these tough questions, and also provide insight into the needs and desires of the market. Often, these tools can signal HRDs to potential problems before it’s too late, allowing them to potentially intervene and retain. Investing in existing talent is a draw for people to stay, and HR will likely be tasked with leading any upskilling or retraining initiatives for current staff. E-learning platforms can help support these training efforts by tailoring the materials to suit individual needs, helping to ensure that staff are grasping the information and that HR’s training budget has been used effectively. While the directive for upskilling may come from higher up in the organisation, HRDs should expect to be the ones the board turns to in order to help figure out the logistics and oversee the process. It is recommended that anyone in this position take the time to learn about some of the tools available in preparation.

Artificial Intelligence is one of the greatest technological advancements of our lifetime, and its impacts will be felt across industries and job functions. However, AI is here to assist and augment, not replace and make redundant. This technology can achieve remarkable things, but not without the assistance of human intelligence. These projects will only be as successful as the teams driving them.

After coming to grips with the idea that AI is something you need to explore, we recommend focusing on building your skills and understanding. Knowing that AI is important and actually believing in its potential and the benefits it can bring to your business are two very different things. Your mindset can make or break you when it comes to delivering change, regardless of your role in the organisation. As a senior executive, you need to ensure you buy into what you are looking to achieve before you can ever expect your team to buy in. You need to walk the talk if you want your people to follow.

If you were to say that the pandemic changed the whole course of technology in business, you would only be partially correct. In truth, what the pandemic did was push us further and faster along a path we were already heading down. Digital transformation and artificial intelligence (AI) adoption have been on the annual strategic agenda for many businesses for the past several years, mainly as an exploratory item. At the start of 2020, the average global share of products and/or services that were partially or fully digitised was at 35%. By the midway point to the year, that figure had jumped to 55%, indicating that the onset of the pandemic led to approximately seven years’ worth of progress in around six months[1].

Now that we are well on the path to some version of recovery, no one is going to drop their tools, say “Well, that was fun while it lasted,” and go back to the way things were before we realised we could do it all differently. Nor should we go back. The pandemic not only changed the market conditions that leaders must navigate in order to keep driving their business forward, but also changed the way they need to lead within new target operating models.

Much has been said about AI’s potential benefits for different business functions, but can this technology help leaders bridge some of their key people management challenges? We explore the question in 5 key areas:

1. Can it support business decision-making?

Just as businesses have begun using more technology in their day-to-day practices, so have their customers. Every website visit, virtual appointment, online communication, and social media interaction creates a data story that can tell business leaders more about their consumers needs, habits, wants, lifestyles, and feelings. But the problem usually is that most businesses have no idea what to do with any of this data or no way to make sense of it.

That’s where AI comes in. These tools can continuously collect, process, and analyse large volumes of data quicker and in more detail than any human could possibly replicate. This data is translated into more digestible formats for easier analysis, detailed forecasts, and insightful recommendations that bring focus to leaders and their teams more quickly. This analysis might reveal trends to expect, issues that have been overlooked, or areas for improvement.

Collecting and making sense of this data will fall on technology, but it is up to leaders to decide what they want to do with it. AI gives leaders the clearest picture possible of what they are up against and where the opportunities are. Because these tools work continuously and provide insights in real time, leaders can act fast to course correct and keep their finger on the pulse of an ever-changing consumer market. This capability will become increasingly valuable as global competition rises and the customer journey continues to evolve.

2. Can it support diversity and inclusion?

Issues of diversity, inclusion, and equality have been thrust squarely into the spotlight as several societal conflicts have arisen this past year. As a result, many decision-makers are taking more purpose-led approaches to leadership (we have a blog on that here) and prioritising these issues in their company’s strategy. For these efforts to be genuine, they need to be reflected in the makeup of the organisation.

AI helps to build more diverse teams through hiring by eliminating some of the inherent biases that human decision-makers may unknowingly bring with them into the process. By automating everything from scanning CVs to conducting early rounds of interviews, AI is able to keep the process as impartial as possible. Of course, this does not always work as intended. AI follows the algorithms that it is trained on, so if it is fed biased information its outputs will reflect that. For example, perhaps the algorithm is trained to hire candidates that sound like a good fit for the organisation and was trained to determine this ‘fit’ based on the organisation’s current team. If the existing staff is predominantly male, all went to a certain set of schools, or are a certain racial background, then the algorithm will most likely select candidates that also possess these attributes. Some have tried to counteract this by programming the algorithm to seek out clearly diverse candidates, but this practice of ‘token’ hiring has raised questions of whether this is a truly fair practice.

It is important for leaders to remain conscious of the suggestibility of algorithms if using AI tools with this purpose, but when programmed correctly these tools can facilitate more equal hiring and help to minimise some of the bias that presents itself in the process.

3. What benefits can it bring for recruitment and onboarding?

Beyond promoting more diversity, AI can make it easier to build the right team and support their growth long term. As mentioned, automation can be used to streamline some of the process, such as scanning CVs for keywords in order to narrow down your candidate pool. While this initial screening will likely be handled below the management level, the increased accuracy of this process helps to ensure that the candidates presented to decision-makers are the best talent available for the role.

Additionally, these tools can help ensure you match the right talent to the right roles, every time. This is typically accomplished through the use of augmented and autonomous AI to personalise the experience and guide the candidate to the role that best matches their capabilities. This makes it easier for the leader to ensure that they have the right skills on their team and the support they will need for long-term success.

Integrating new talent to your team is another area where AI thrives. Technology can help to improve the onboarding process by getting new hires up to speed efficiently and via a more tailored experience. For example, there are tools available that can match a new employee’s preferences with recommendations about which benefits package best suits their needs. Starting employees off on the right foot helps to improve long-term retention, meaning leaders can focus their attention on achieving objectives rather than worrying about their team.

4. How does it support upskilling and training?

While many organisations may be actively recruiting and some leaders are having to build and onboard new teams, others have focused their attention on their existing staff. The adoption of new technology impacts all parts of the organisation, not just those at the top. If new tools are being introduced, then training and upskilling activities may need to be undertaken in order to ensure the team has the right capabilities to use them effectively. But your people don’t know what they don’t know, and as a leader, you should never assume that all members of your team are on the same level of capability and comfort with using technology.

AI learning tools can not only assess your team’s current level of knowledge but also meet them where they are. The use of personalised learning tools in L&D functions is on the rise due to their ability to tailor training to suit individual skill levels and learning styles. For example, these tools might offer staff a series of questions or activities. On the back end, AI and machine learning algorithms are analysing the responses to pinpoint the individual’s level of understanding of the topic at hand. Based on this assessment, the platform may offer the information in a new format that is more suited to the individual’s learning style and repeat the lesson until the information is absorbed, or may deem it suitable to move on to the next lesson.

For leaders, this helps to ensure that staff are getting the necessary training in the most effective way possible. Training can be a costly expense for businesses and approaching this in a one-size-fits-all way cannot ensure effectiveness. Tailoring training to your team helps to engage them in their learning and provide the best chance at absorbing these new skills.

5. How can it impact culture, progression, and engagement?

In an ideal world, every team member would be perfectly satisfied in their role and your best team members would stick around forever. But that is not our world, and therefore leaders need to pay attention to their team’s needs, levels of engagement and team atmosphere.

Sentiment analysis tools are able to assess employee communications to identify potential dissatisfaction, while intelligent employee surveying can be used to gather insights directly from staff about their feelings. If an employee is showing signs of displeasure, AI algorithms can be trained to identify patterns that suggest when they may be ready to turn over. The system would then send an alert to the HR team, allowing them to intervene before it’s too late. In some cases, this desire to leave is tied to compensation. AI tools can analyse market factors, the employee’s performance, and their job achievement to help suggest compensation.

Beyond holding onto staff that is on the verge of turning over, AI can help your team progress within the organisation. Some talent intelligence platforms are able to provide personalised career guidance to employees based on their innate capabilities, potential, and future positions of interest to encourage long-term planning. Some companies use this intelligence to match employees with mentors in the organisation who can provide relevant advice related to that individual’s identified pathway. Additionally, these tools can help to identify higher performers who may be ready for the next level or may be well suited to a leadership opportunity.

The mark of a successful leader is a successful team. By partnering with AI, leaders can conduct more regular temperature checks with their people and intervene before issues can have negative consequences.

It’s clear that AI can take on some of the heavy lifting of leaders’ people management responsibilities, but it should be noted that this technology should be treated as a tool rather than a replacement. Leaders should not become complacent and expect that AI will solve all their problems. There still needs to be a ‘human touch’ involved, especially in matters of people management. When considering AI, leaders should simultaneously work to adapt their own styles and skillsets in order to incorporate these tools into their style of leadership, but should not lose sight of all the attributes that make them a strong leader in the first place.

[1] https://www.mckinsey.com/business-functions/strategy-and-corporate-finance/our-insights/how-covid-19-has-pushed-companies-over-the-technology-tipping-point-and-transformed-business-forever

We recently discussed some of the strategic priorities regarding artificial intelligence (AI) and other technology that leaders will need to keep in mind for the future. Whilst deciding on the best plan of action, there are many factors to consider. What is the current vs future 2–5-year climate likely to be? What will this mean for workforce reskilling and day-to-day practices? What ethical and governance issues need to be considered? These are just some of the crucial questions to consider when undertaking any digital or change programme.

The State of AI

One core message relayed in the previous blog is well worth reiterating here: artificial intelligence is no longer a distant ‘maybe.’ The time has arrived to either sink or swim, adapt or get left behind. AI is guiding decisions from crop harvesting, to bank loans, to medical and pharmaceutical testing.

The gravity of the situation is evidenced strongly in the various tech-focused initiatives included in the UK Government’s latest budget plans. Their aim is to support businesses, enabling them to come to terms with an increasingly digital climate. Two initiatives worth mentioning are a new fast-tracked visa to draw in top tech talent from around the world, as well as the £520 million Help to Grow scheme which is aimed at aiding SMEs to be more competitive while enhancing digital skills. The scheme will allow up to 130,000 SMEs to have subsidised access to university-level training, 50 hours of tuition, and one-to-one business mentoring. In order to further support digital transformation in enterprise, the scheme also includes a 50% government contribution towards productivity software up to £5,000 and delivered in vouchers.

According to a report released at the end of 2020, the UK is ranked third out of the G20 countries in terms of total implementation, innovation, and investment in AI. Britain is ranked first overall in ‘Operating Environment,’ which encompasses the regulatory context and public opinion surrounding artificial intelligence.

The UK government has been taking strides for years to secure this position, most notably through the work of the All-Party Parliamentary Group on Artificial Intelligence (APPG AI), of which Rialto is a permanent board member. The group meets regularly for evidence sessions and discussions of the major issues and innovations in AI, all with the intention of supporting the adoption of the technology in enterprise. Membership of this community and access to these sessions is one of the benefits of our AI Leaders Programme, designed to help leaders stay up to date with key developments.

The Human Cost of Automation

The Help to Grow scheme itself is an acknowledgement of the government’s understanding of the necessary role which AI and other technology will play in this next chapter. The pandemic was a ‘trial by fire’ lesson in the importance of digital transformation, as even the most resistant organisations and individuals were left with no choice but to rely on technology to function. The difference now is that while most of the technology we turned to during the pandemic helped us simply stay connected and stay afloat, the technology we turn to next will be strategically focused on creating impactful and long-term change.

Much has been written about the numerous benefits that AI and automation can provide to organisations, especially in terms of productivity and cost savings. Normally, when business leaders are thinking about their AI adoption plans and their objectives, it is these benefits that they tend to focus on. But opportunity has its costs, and the change in practices that AI brings about raises some very serious questions about the impact on human staff.

The major focus we should take from the Help to Grow scheme is the emphasis on skill building, which is both intentional and necessary. It is crucial that any organisation looking at digital transformation, no matter how big or small, ensure that human staff understand the technology they are adopting as well as its uses and implications. A common misconception surrounding AI is that it is here to replace the human workforce. The reality is that AI has not yet reached a level of human intelligence that would allow it to be fully self-sufficient. Most tools that businesses will be looking to adopt tend to rely on a partnership between human and machine. Teams will be needed to oversee the technology, but more importantly they will be required to make sense of any insights and transform them into actions for the business.

That said, there will be certain cases where technology does displace human staff. In AI’s current phase, this is more likely to occur in tasks or roles that are heavily routinised, potentially dangerous, or methodical. There are many examples of this already occurring in manufacturing, agricultural, and distribution functions, amongst others.

When beginning a transformation project, it is essential that the organisation’s leadership look beyond the benefits to the business and examine the potential impacts on staff. On one hand, effort is required to ensure that the staff you have on hand are well prepared to deal with any changes. This is where upskilling initiatives such as those included in the Help to Grow scheme become crucial in terms of involving staff in the next phase of development.

On the other hand, what action is required to assist those left behind by AI? One option is reskilling and helping leaders and staff to develop skills and capabilities that differ from those required by their current role so that they may serve the business in another area. This reskilling may also focus on the human capabilities that technology (currently) cannot replicate, such as empathy, understanding, or strategy. However, if redundancies are deemed necessary, how can you provide support? It might be worth investing in executive outplacement services to help these individuals transition to a new role. Regardless of the approach you select, it is essential that you factor in the human and reputational costs when adopting AI.

Bias and Ethics

Apart from the displacement and critical reskilling needs of the human workforce, additional concerns with AI tend to focus on macros issues such as privacy, bias, and ethics. Customers are wary about the amount of personal data collected and how it is used. In Europe and the UK there are certain policies in place such as GDPR which partially govern this, but at present, AI remains largely unregulated.

Several professional bodies have begun developing their own codes of practice, and governments around the world are working to do this on both a national and global level. The work of the APPG AI community is helping to contribute to these efforts in the UK, and these issues are often discussed in the group’s evidence meetings. But until there are a set of standards or guiding principles that businesses can refer to and adhere to, how can you ensure your AI project avoids violating any ethical rules?

The past year raised some very pertinent ethical discussions, especially in regard to diversity and equality. The leadership team will need to deeply examine and make decisions about potential issues that may affect the outputs of the new technology. This will require answering some very important questions. Who do you have overseeing these systems? How do you plan to use the data you collect? What steps do you intend to take to protect this data and the customers it belongs to? What potential biases may arise from the data or how it is treated? Having answers to the tough questions will help to develop a set of standards or practices for the entire organisation to abide by to ensure any major breaches are avoided.

When adopting AI or other disruptive technologies, it is easy to become blinded by the potential benefits for the business. As we enter the next ‘normal’, it is essential that leaders deepen their understanding of what is happening with technology on a macro level, what impacts might be felt within the business, and how they can ensure that their new endeavour has both internal and external benefits. Membership of the Rialto AI Leaders Programme is a great way to accomplish this, which enabled members to take part in thought-provoking high-level evidence sessions, hearing discussions of the major macro issues first-hand. Furthermore, members are kept up to date with the latest developments, trends, innovations, ROI case studies, and investments on AI.

In the first instalment of our Personal Digital Branding series, we introduced the foundations to creating a representative ‘personal’ profile. In the second blog of the series, we delved into the ‘digital’ side of personal digital branding and provided our top tips for selecting the right social medium and using it to your advantage.

This article continues the series, exploring the ways in which you can bring your brand to life through thought leadership and the creation and curation of quality content. The right thought leadership can make the difference in positioning you as an aligned and relevant leader in the future world of work, thus ensuring you are better known and sought after in target areas.

What is Thought Leadership?

Every industry has its key players, the individuals that others turn to for insights or expertise on selected topics. These individuals are considered thought leaders and have earned that distinction through the active and strategic building of their profile within their designated space.

If executed properly, thought leadership can be a hugely beneficial tool for differentiating oneself in an increasingly crowded and competitive marketplace. This may prove helpful in an executive career transition, with securing new business, or attracting other opportunities for networking, NED roles, or further reputation-boosting publicity. Implicitly, people want to work with someone they can trust; an individual who they believe is best suited for the job. Thought leadership helps build that trust, authority, and credibility.

Thought leaders actively connect with others in their industry and attract valuable connections from outside of their immediate network, too. They are up to date with the latest developments and engaged in discussion about the issues, trends, and news impacting their space. They may be frequent commentators in the media, or active on the global keynote circuit (virtual or face-to-face). Alternatively, these individuals benefit from having a really strong and active social media presence or a great content strategy.

Our previous blog provided guidance for developing this strategy, but a key question is what should you actually be sharing in order to build your credibility? What separates good thought leadership content from average material?

What Do Thought Leaders Share?

We work very closely with our Personal Digital Branding clients, helping each Executive to perfect their thought leadership. In doing so, we help them to stand out from the crowd. Typically, once a client reaches this point in the process, they have already completed the essential work of clarifying their objective – for example, identifying the top organisations for whom they would particularly like to work and clarifying the compelling value proposition they have to share. They will understand their personal digital brand and areas of expertise. Our experts will also have helped them research the best ways to reach their target audiences and helped them to articulate key messages through different communication channels. Strong digital content is the next step for bringing those elements together to create results.

The types of content you should share as a thought leader will and should vary. Here are just a few examples:

• Blogs/Articles: The long format of this type of content allows you the space and freedom to go into depth about your key topics. You may choose to publish these directly on your personal website or your company’s site, if allowed, and share a link to the article via your chosen social platforms. Alternatively, LinkedIn allows its users to publish ‘Articles’ directly on the platform. These articles function exactly the same way a blog would and are an excellent option for executives who lack a platform for posting elsewhere.
• Personal updates: These posts provide your network with glimpses into your professional life. This may include news of any nominations or awards won, initiatives you have taken part in, promotions or new roles you have taken on, and attendance of or participation in any relevant industry events. However, do not confuse the definition of ‘personal’ here. Any updates you share about yourself should pertain to your professional developments or achievements.
• Company updates: If allowed and appropriate, you should share the projects your company is working on, relevant news or updates from your organisation, any mentions of your company in the news, case studies, or awards won.
• Third-party resources: Sharing news, articles, blogs, or other content from credible third-party sources about relevant topics is a great way of showing that you are tuned into what’s happening in your industry and the wider world around you. That said, when you share this type of content, you should always ensure that there is some sort of value add. Do not simply share a link and go. Always try to add a bit of insight, commentary, or critical thought.

As mentioned in an earlier blog, a great way to get a feel for what this content looks like in practice is to examine the profiles of the thought leaders you admire. Visit their social profiles, read their blogs, and note the things you feel that they are doing right. Take those lessons back with you and adapt them to suit your style, goals, and strategy.

Thought Leadership Content Tips:

Thought leadership takes time to cultivate. To become a thought leader, you need to remain vigilant and stay on top of your posting. Here are a few final pieces of advice to build your personal digital brand:

• Tag to build your network: Tag in posts wherever you can in order to draw more eyes to your content. Tag anyone directly related to the content, or you can even tag individuals who you think might be interested in what you have shared. Actively interacting with peers is a great way to continue growing your network and raising your name recognition in the industry.
• Add value: Reiterating our earlier point, thought leadership content should always come with a value add, no matter what the style of content. When sharing third-party content, avoid presenting it without any type of commentary or simply recapping what is there. A few brief lines of analysis will help to establish your position as a thought leader in that particular topic or area. When writing a blog, share any advice or insight you can with your readers. Do not be afraid to inject your own professional experiences in order to provide real-world context.
• Let your brand shine through: After all of the hard work you have put in up to this point, you should have a very clear idea of what your personal digital brand identity is. This should hopefully make it very easy to shape the content you create and select the topics you discuss. The time has come to let your brand shine through. Be your own champion. Do not be afraid to voice your opinions or share your insights and expertise on the topics you are experienced in and passionate about.
• Stay active: This will play into the strategy you previously devised, but in order to become a thought leader and stay that way, you do need to engage with your audience regularly. Our previous blog provided tips for determining the frequency of your activity. But a mistake that many professionals tend to make is pursuing thought leadership to achieve a specific goal, and then dropping their activity once that goal has been met. Maintain it if you can. If your thought leadership activity helped you to secure a new role, it is likely that your new employer was drawn to the idea of having a respected expert on their team. If thought leadership brought in some new connections or opportunities for you before, it will continue to do so if you maintain momentum.

Personal digital branding and thought leadership can be hard work but can also bring about some incredible and valuable opportunities for your career including internal promotion or external appointments. Once you have found your stride and determined which content works for you and your audience, keeping up with thought leadership should become a natural and effortless part of your normal professional activity. Make it part of your daily routine. Be patient, as it will take time to build trust and credibility. But with time, you are likely to find that putting in the work to pursue thought leadership was a worthwhile investment in your career and professional development.