Whether you are looking to make a successful executive transition externally or progress within your current organisation, AI will undoubtedly play a part in your professional development.
Until very recently, AI was something scientists did and most people’s familiarity with it came from science fiction. Since the public launch of ChatGPT’s Generative AI tool in November 2022, however, it has exploded into action to become part of the very fabric of our global infrastructure.
Every individual in a position of leadership should be thinking about AI every day – how it is changing their industry now, what is on the near horizon, how different the world will look two, five, 10 years from now as disruptive technologies continue to develop and expand exponentially. Most importantly, how you can exploit it to stay relevant, further your own career and understand how to best use it to accelerate the growth and performance of your team or organisation to increase your own value in the workplace.
Here we review some common questions and comments from what Rialto consultants hear from AI-curious executives and senior leaders and explain why and how it can support every individual’s professional development.
Even though we have all been using it for many years, most of us on a daily basis whether through our smartphones or algorithm-based personalised services such as Netflix, almost all surveys show high levels of scepticism and fear around AI.
Some of those personal barriers to adoption are based in well-founded concerns around regulation, ethics, the risk of machines taking our jobs and the security and reliability of such new, constantly-evolving and mysterious technologies.
Others are born out of more nebulous reactions: suspicion, fear, feelings of intimidation and difficulty grasping how it works or how it could benefit an individual or organisation.
When terms such as Machine Learning (ML), Large Language Models (LLMs), Generative AI, Neural Networks and Big Data are thrown around, sometimes seemingly interchangeably, it can be easier just to think: I’ll leave that to the techie people.
However, this is a language we all need to learn to speak and a permanent addition to our personal and professional lives that we would just as well do to get to grips with now in order to stay relevant. History shows the Luddites did not win the 19th century war against cost and time-saving textile technologies, the machines and their owners did. There is still time to benefit from being among the earlier adopters.
When you get under its skin, you can begin to understand that Generative AI is really about using machines to survey and analyse masses of information, volumes unimaginable to the human brain, looking for patterns, predicting what will come next to an increasingly accurate degree and suggesting ways to take advantage of this crystal ball-like magic. Think of it like that and the potential applications become endless. (Though GenAI is only as good as the humans operating it and it comes with caveats.)
Some industries and individuals are catching on faster than others but it will become as central to any sector or function as we humans.
In terms of any individual’s professional development, all evidence points to the fact that recruiters are increasingly valuing AI skills alongside experience, other leadership attributes and expertise, no matter what role is being filled. Astute candidates and in-post senior leaders are responding accordingly. There is growing evidence that candidates with AI skills and knowledge even if less experienced are likely to secure roles in preference to more experienced candidates.
In a recent survey by Microsoft and LinkedIn:
Also:
Meanwhile, non-technical professionals signing up to LinkedIn AI courses jumped 160%, with architects and project managers most eager. LinkedIn said it had seen a 142x increase in members globally adding skills like proficiency using ChatGPT and Microsoft Copilot to their profiles.
Rialto research at the end of 2023 found some of the fastest growing positions among the C-suite were chief automation officer, chief digital officer and chief data officer while traditional roles such as chief executive officer and chief operations officer were oversupplied with fewer advertised positions available.
While a background in data and digital technology are helpful in these new roles they are not essential. Candidates with expertise and experience in business operations, change management, project management and strategic management can gain sufficient skills in these areas to add them to their current CVs and apply for these in-demand roles or leverage them to improve their own performance and value in their current position.
First: Learn the language of AI and stay updated on rapid advancements, particularly those disrupting your sector. Think about the barriers to your own personal adoption to date – what are you afraid of? Do you need to benchmark your skills and devote time and energy to further training?
Next: Whether or not you are looking for to step up or are planning your future career direction, think about what AI skills you need to update your profile, including proficiency with ChatGPT and other GenAI tools, any training you need or have to complete and any AI strategies or projects with which you could or have been involved in. When creating a digital profile, think about keywords such as data, predictive analytics and Generative AI and whether they need to appear in any searches. If you are looking for progression within your organisation, seek to get involved in new AI projects and look out for any in-house training. If none is available, ask for some for you and your team.
Incorporate AI into every possible task and project. Explore possibilities, investigate opportunities, look at what your rivals are doing: what are they using? How? How could you do it better? How could it benefit your sector, organisation and individual roles to drive strategic implementation and deliver growth, efficiencies and improved performance.
It won’t take long to realise the potential benefits and applications and you will be using it like a pro, able to speak the language and naturally inspiring confidence from your teams, employers and potential employers in your capacity to drive growth through the power of AI and other frontier technologies.
DO be aware of the limitations and ethical responsibilities around AI. While Generative AI is getting more reliable, it can hallucinate and make up facts and even research papers. Read, edit and verify everything it produces before using and think about data protection and copyright/plagiarism issues and be alert to any possible bias. One common mistake is expecting AI to make the same mistakes as humans – training is essential to be able to understand how Generative AI creates content to be able to identify any potential issues.
If you would like professional support benchmarking your own skills, better understanding what recruiters want or wishing to compete more effectively in the changing Executive job market, or if you would like Rialto to help you create a strategy to incorporate the most relevant Generative AI and other AI technologies into your business model, contact our team to discuss how we can help.
