The Basic AI Skills That Employers Want : Read This Before Your Next Interview
- GwynethEL
- Feb 18
- 6 min read
Updated: Feb 18
If you’re in job search mode right now, or you suspect that you may be later this year, I want you to read the following with one question in mind: what will help you stand out when the market is more competitive and hiring panels are more cautious. AI is not replacing good people overnight, but it is changing what employers expect a capable professional to be able to do, and it’s shifting interview questions in ways that can catch even confident candidates off guard. This blog will help you to understand what’s really going on, and the simplest steps you can take now to protect your options and give yourself an edge.
There’s a very particular scenario that has started to show up for capable professionals lately. It’s not panic as such, rather it’s more like a low-grade pressure behind the ribs when you open LinkedIn and see another brilliant person “open to work”, when you hear that a hiring process has been paused again and when you wait even longer for a decision on the outcome of your interview.
Just recently in the UK, unemployment has risen to 5.2%, the highest level in nearly five years. There are more applicants per role, more scrutiny about organisational needs, and more risk-management from employers. Across the OECD the overall rate was 5.0% in December 2025, reinforcing the bigger picture that the labour market isn’t falling off a cliff, but it isn’t giving easy wins either.
And whilst there is no doubt that employee costs have risen and employers are thinking twice before adding headcount, into that already-tight environment, AI has become the invisible tailwind behind the push for ‘do more with less’.
The job titles haven’t always changed yet but the expectations most definitely have.
The roles feeling it first
AI pressure is landing most heavily on roles that sit close to work that is repeatable, pattern-based, and easy to standardise, the type of work where the structure stays the same even when the details change. For example, drafting and rewriting documents, pulling insights from information, turning messy thinking into a clear plan, producing updates and reports, designing learning, and creating the internal and external messaging that keeps people aligned. If you work in any of these areas, you’re already in the impact zone:
Marketing Directors / Heads of Growth (faster cycles, faster proof, faster iteration)
Heads of Communications / Employer Brand (message discipline under speed, reputation risk at scale)
Heads of Talent / HR / L&D / OD (skills, workforce planning, learning design, hiring shifts)
Programme / Portfolio / Operations Leaders (faster decisions, smarter processes, sensible safeguards, and more reliable delivery)
Customer Experience / Service / Product Leaders (because customers now expect faster, smarter service as standard.)
Even when the role isn’t technical, you are increasingly expected to be technically fluent enough to steer responsibly.
The early evidence is already here
One reason I’m so direct about this is that we have already seen measurable shifts in online freelance markets, where demand often changes sooner than it does in a traditional employment environment.
The Imperial College Business School reported that online freelancers in more automation-vulnerable professions saw an overall 21% fall in weekly demand after generative AI arrived. A CESifo working paper studying a large dataset from a leading freelancing platform found a similar pattern with a 21% (approximately) decrease in job posts for automation-prone jobs related to writing and coding within eight months after ChatGPT’s introduction. Peer-reviewed work has also examined these shifts at a granular skill level, showing how demand changes differ depending on whether generative AI substitutes for, complements, or barely touches a task category.
This matters for professionals because what happens at the edges of work tends to move inwards. Today it’s freelance demand. Tomorrow it’s job design, headcount assumptions, and what employers start to expect a single capable person can produce in a week.
What’s really holding people back: the nervous system, protecting your identity
Some of my clients tell me that they’re not technically-minded or that they’re not clever enough to understand AI. But most of their resistance to AI more likely to be physiological and emotional because if you have built a career on a specific competence or area of expertise, a new tool that changes the rules will register as a threat to your status.
Of course your beautiful brain doesn’t label it that way. It dresses it up as practical limitations: I haven’t had time. I’ll look at it properly later. I don’t want to become dependent on it. The quality isn’t there. It’s not relevant to my role.
Underneath that conversation it’s often something much more human: I don’t want to feel like a beginner again. I don’t want to look clumsy in front of my team. I don’t want my expertise to be questioned. I don’t want to discover that I’ve been doing something the slow way for years.
This is also where emotional intelligence becomes a serious career advantage because leaders with heightened self-awareness who move well through this era will notice the internal response early - the avoidance, the irritation, the perfectionism - and they will be able to regulate it before it turns into months of delay disguised as being busy. They stay curious long enough to build a new form of evidence: I can learn this. I can use this. I can lead with it.
Why does that matter? Because the market senses hesitation, it sees outdatedness and it judges those who it considers to be slow to adapt, even when you’re brilliant.
Why basic AI literacy is becoming interview currency
Whilst hiring panels will continue to examine your expertise and your ability to fit in with the rest of the team, they will also be looking for leaders who can demonstrate fluency, judgement, and responsibility.
And in the not too distant future the question won’t be have you used AI? It will be closer to where do you use it (or not), how do you verify outputs, and how do you protect confidentiality and quality of decisions?
Something I have started to recommend to all my clients is to take a short (reputable) introductory course in AI so that they understand the basics, for example what the different types of AI can and cannot do, where they are being used in organisations, and how to work with tools such as ChatGPT using clear, practical prompting.
That kind of baseline fluency is already increasingly valuable in interviews because it shows a hiring panel that you have taken responsibility for staying current, that you can use modern tools with judgement rather than hype, and that you won’t need months of hand-holding to operate in an AI-shaped workplace.
It matters even more in the EU, where the AI Act places an expectation on organisations that deploy AI systems to ensure a sufficient level of AI literacy amongst the people using them, which means demand for AI-literate professionals is only going to rise.
The simplest way to get ahead, without disappearing into the weeds
Aim for competence, not obsession!
Know the categories
Understand generative AI (creating text/images/code) versus broader AI approaches (prediction/classification), and the practical risks leaders must manage: confidentiality, bias, hallucinations, governance.
Learn prompting as structured thinking
Great prompting is not “techy”. It’s clarity in the form of context, constraints, and examples, which in essence is the same discipline that strong leaders bring to any strategic conversation.
Bring proof
Keep two or three work examples where AI accelerated output and your judgement elevated quality: what you checked, what you refused to share, and what you decided.
If you want somewhere reputable to start
If you’re looking for a sensible foundation that gives you vocabulary and confidence without sending you down a technical rabbit hole:
The real win
AI speeds up the mechanical/repetitive parts of work. Leadership is still made of human moments: pressure, ambiguity, conflict, judgement calls, and the ability to keep people steady whilst the ground moves.
If you build a basic AI foundation now you are giving yourself the edge at interview, and you’ll also be making it easier for others to follow your lead, so please don’t wait until you’re forced to learn the basics of AI under pressure, when the stakes are higher and your future career and confidence are already on the line.
As an award-winning coach and people strategist, I have supported thousands of professionals to reposition, strengthen leadership presence, and navigate change with clarity. If you would like a direct, grounded conversation about what “AI-ready” could look like for your role and your sector, connect with me here: https://bit.ly/Teams-With-Gwyneth
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