AI Is Making Competence Cheaper

What Happens to Your Value Now?

There was a time when professional competence carried its own scarcity premium. The executive who could synthesise complex information, the consultant who could turn ambiguity into a coherent recommendation, the founder who could write persuasively or the leader who could walk into a difficult room and make sense of competing arguments possessed capabilities that were difficult to replicate.

Generative AI is changing the economics of that advantage. Today, a reasonably capable professional can generate a credible strategy, proposal, market analysis, presentation or board paper in minutes. The result may not be exceptional, but increasingly it will be competent. That matters because when competence becomes easier to manufacture, competence alone becomes harder to charge a premium for.

There is, however, a second shift hiding underneath the productivity story. AI is not simply making professional output easier to produce, it may also be making professional expression more similar. Our screens are increasingly filled with beautifully structured articles, polished emails, articulate proposals, strategically worded LinkedIn posts and presentations carrying all the appearance of considered thought. Individually they may be impressive, but collectively something strange starts to happen.

The more perfectly everybody learns to sound, the harder it becomes to hear who is actually speaking. That creates a very different leadership question. When everybody can generate the words, what makes your voice worth hearing?

When Competence Stops Being the Differentiator

Research by Stanford economist Erik Brynjolfsson and colleagues gives us an intriguing clue about where this may be heading. Their study of generative AI in the workplace found productivity gains averaging around 14%, with particularly significant improvements among less experienced and lower-skilled workers. AI was not simply allowing people to complete tasks faster, in certain circumstances, it appeared to help less experienced workers acquire elements of the performance advantage that previously came with experience.

For senior leaders, established founders and experienced professionals, that should command attention. If somebody with significantly less experience can now use technology to produce a credible proposal, competent analysis or polished piece of communication, the visible signals we once associated with expertise become less scarce. Twenty years of experience may still matter enormously, but the polished document is no longer sufficient evidence of those twenty years. Your advantage has to move further upstream.

That advantage increasingly sits within judgement, discernment, contextual intelligence and the ability to recognise what matters before everybody else realises that it matters. AI can produce ten plausible strategies before you finish your first coffee, but leadership begins when somebody understands which strategy fits the organisation, which assumption carries hidden risk and which apparently impressive recommendation should never leave the screen.

This is where experience becomes interesting again. The experienced executive remembers the acquisition that looked impeccable in the financial model but underestimated culture, while the founder remembers the customer behaviour that contradicted the research and the senior leader notices the unusual silence around the boardroom table when everybody else is concentrating on the presentation. Expertise is therefore no longer simply what you know. Increasingly, its value lies in what your experience has taught you to notice.

What If Your Lived Experience Is Also Data?

There is an important dimension to this conversation that leadership discussions about AI frequently overlook.

The Black female leader sitting at a senior table may be interpreting exactly the same report as everybody else while simultaneously processing information that never appears on the page. She may notice the cultural signal, historical pattern, coded language, shifting power dynamic or conspicuous omission that somebody else simply does not register.

This is not an argument that identity automatically produces superior judgement. It is a more interesting argument about information. Cultural experience can create additional observational data, intergenerational experience can strengthen pattern recognition and professional experience provides the context through which apparently disconnected signals begin to make sense.

Navigating organisations in which you have not always represented the assumed default can sharpen the ability to read power, language, behaviour and omission. Years spent moving between cultures, markets, communities and institutional environments can teach you that what people say is only one part of the information available. AI can process extraordinary quantities of what has been recorded, while experienced human beings can sometimes recognise what never made it into the record.

That distinction may prove considerably more valuable than we currently realise.

A machine may be able to analyse the transcript of a meeting and summarise the minutes, yet understanding why somebody hesitated before answering, why the most powerful person in the room said almost nothing or why an apparently new proposal carries the residue of three previous failures requires a different form of contextual intelligence. The hesitation, history, silence and contradiction are not peripheral information. In many leadership situations, they are part of the evidence.

The strategic challenge is therefore not simply possessing that intelligence. It is learning how to turn it into influence.

When Everybody Has AI, Voice Becomes Strategy

This is where the conversation becomes more complicated for accomplished women.

Many senior women have already spent decades learning the language institutions reward. They know how to moderate an argument, prepare the board paper, present the business case, navigate hierarchy and make their communication sufficiently polished for the environment they occupy. AI can now help almost everybody do those things.

The danger is not simply that somebody else becomes more competent. The greater danger is that professional expression becomes increasingly similar. A leader can possess extraordinary judgement and still become invisible if she communicates that judgement in exactly the same language as everybody else.

When millions of professionals begin using similar technologies, trained on overlapping information, to produce similar forms of communication, distinction increasingly moves away from production and towards interpretation.

This is why voice is becoming a strategic leadership issue.

Voice is not simply writing style, personal branding or the ability to speak confidently. It emerges when accumulated experience, judgement, cultural intelligence, values and perspective combine to create an interpretation that is recognisably yours. AI may help you find the words and even shape the structure of the story, but deciding what is worth saying requires judgement, while understanding why the story matters requires the context that comes from experience.

AI can help shape the communication, but it cannot have the experience that made the story yours. The harder leadership challenge is turning that experience into something other people can understand, remember and ultimately act upon.

The Human Premium Is Meaning

This may become one of the defining leadership divides of the next decade.

The divide will not necessarily be between people who use AI and those who do not, because that distinction may disappear remarkably quickly. The more interesting divide could emerge between professionals who use artificial intelligence primarily to generate information and leaders who know how to make information consequential.

Meaning requires point of view, context and an understanding of consequence.

AI can describe redundancy, but it has never carried the responsibility for a decision that changed somebody's livelihood. It can explain discrimination without having experienced the subtle shift in a room when a difficult subject is raised. It can summarise entrepreneurship without having faced the uncertainty of making payroll, just as it can construct a leadership case study without carrying the organisational memory of what happened after the decision was made.

This is why twenty or thirty years of experience cannot remain simply a chronology of what you have done. It has to become intellectual capital. The real premium lies in what those years have taught you to see, anticipate, question and understand that somebody with access to exactly the same technology may completely miss.

The strategic conversation therefore has to move beyond asking, “How do I use AI?” That is rapidly becoming a baseline question. A far more interesting question is emerging for experienced professionals “when everybody has access to the same intelligence tools, what will make my judgement worth listening to?”

The answer takes us somewhere leadership conversations about AI do not always go. It takes us to story.

The Story Only You Can Tell

Storytelling in leadership is often misunderstood as a presentation technique, perhaps an engaging anecdote at the beginning of a speech or a more memorable way of presenting a business case. That definition is becoming inadequate.

In an AI-shaped professional environment, story is increasingly about converting experience into usable intelligence. It is how a leader connects information with consequence, data with human behaviour, experience with possibility and strategy with something people can understand sufficiently well to act upon.

If judgement is your human premium, voice is how other people experience it, story is how they remember it and influence is what begins to happen when that story changes what somebody sees, decides or does next.

This is particularly important in environments increasingly saturated with AI-generated noise, where leadership will require more than knowing what the data says. It will require recognising what the data missed, understanding what the room is not saying and knowing what experience tells you deserves attention before it becomes obvious to everybody else.

Consider what AI may fail to hear in a room.

The hesitation before an answer, the history underneath an objection, the power embedded within apparently neutral language, the cultural coding inside an ordinary phrase, the unexpected silence of an important stakeholder or the contradiction nobody wants to name may contain more useful leadership intelligence than another page of analysis.

Recognising those signals requires experience, curiosity and cultural intelligence. Translating them into something other people can understand requires the ability to read the room, frame the story and move the room.nThat is why our next conversation matters.

Stories Only You Can Tell

On Friday 16 October 2026, from 12:00–1:00PM (UK), we turn our attention to something increasingly important for leaders navigating the noise and distraction of AI. Protecting the distinctiveness of your voice while learning how to make that voice consequential.

Leading ‘Stories Only You Can Tell’ is Morolake Adesina, award-winning writer, director, producer and founder of Scene-opsis Productions, a film and theatre company whose work demonstrates how stories can connect people across cultures.

Morolake's relevance to leadership goes much further than knowing how to tell a good story. Her work requires her to understand how meaning travels between people, how audiences interpret signals, why context changes meaning, why one narrative crosses cultural boundaries while another disappears and what makes somebody care sufficiently to act.

These creative capabilities are becoming increasingly important leadership capabilities.

For senior leaders, founders, business owners and emerging executives, this is not about becoming better performers. It is about learning how to recognise the story beneath the information, articulate the intelligence inside your experience and communicate it without editing away the cultural perspective, judgement and lived context that make your contribution distinctive.

AI can manufacture language, but it cannot manufacture the life that gave your language meaning.

Having that experience, however, is only the beginning. Your accumulated experience, cultural perspective and judgement all contain intelligence, but none of them automatically become influence. You still have to understand what you see, recognise why it matters and communicate it in a way that enables other people to see what you see.

That is the story only YOU can tell.

Your Voice Is Not Competing With AI, It Is Competing With the Noise.

The next era of leadership may not belong to the people who produce the most information because AI has already made that contest considerably less interesting. It may belong to those who can distinguish signal from noise, recognise what others have missed, bring context to complexity and turn experience into intellectual capital, intellectual capital into narrative and narrative into influence.

Your human premium is not simply that you have experienced things an algorithm has not. Its real value lies in what those experiences have taught you to notice, question and understand. The challenge now is making that intelligence visible without allowing the machinery designed to amplify your voice to slowly make you sound like everybody else.

Perhaps the question to take away is therefore not simply, “What is my story?” A more important question is “what has your experience taught you to see that others consistently miss and are you making sure the right people can hear it?”

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Be Part of the Conversation

Join us for Stories Only You Can Tell and discover how to read the room, frame the story and move the room without losing the voice that makes your contribution yours.

Comment with your perspective and share this with a high-achieving woman whose experience deserves to become influence.