As this series comes to a close, we arrive at the deepest fear many senior leaders still carry into the AI conversation: the fear of losing their edge.
It is not really a fear about software. It is a fear about erosion. If AI becomes part of everyday work, will leaders become less sharp? Will writing weaken? Will strategic thinking become lazier? Will judgment slowly be outsourced to a machine that can sound fluent without ever carrying real responsibility?
AI does not automatically erode professional skills, but unmanaged use can. EY’s 2025 Work Reimagined Survey of 15,000 employees found 37% worry about skill erosion, yet only 12% receive sufficient AI training. The distinction is critical: guided, deliberate AI use expands capability, while shallow, unsupported use risks dependency. The answer is structured practice, not avoidance.
“AI does not make strong professionals obsolete. It raises the standard for what strong professionals can produce.”— Larysa Hale, Expert Circle
That concern is not foolish. Used badly, AI can absolutely become a crutch. But that is not the only path, nor the most interesting one. Used properly, AI does not replace intelligence. It amplifies it.
Will AI erode your professional skills? The evidence says it depends
A great deal of the anxiety around AI comes from using the wrong mental model. People imagine a contest between humans and machines, as though the technology were here to substitute for professional value altogether. That is far too simplistic.
AI was built on human knowledge. Everything it produces is derived from what people have already discovered, tested, argued, refined and expressed. Its value is often highest when it is paired with human context, human standards and human judgment.
Tom Davenport, President’s Distinguished Professor at Babson College, has been particularly clear on this. His book Working with AI presents real-world case studies showing that AI in the workplace is already happening through human–machine collaboration, not replacement. That framing matters because it positions AI use itself as a professional capability.
EY’s 2025 Work Reimagined Survey, which surveyed 15,000 employees and 1,500 employers across 29 countries, found that 37% of employees worry that overreliance on AI could erode their skills and expertise, while only 12% say they receive sufficient AI training. EY’s broader conclusion is that companies are leaving a substantial share of AI productivity gains on the table because talent strategy has not kept pace with adoption.
That is an important distinction. The danger is not the tool in isolation. The danger is unmanaged use.
Andrew Ng, Stanford adjunct professor and founder of DeepLearning.AI, makes the opposite possibility clear through his non-technical AI courses: AI can be understood and applied by business professionals, not just engineers. Capability grows when people learn to direct the system rather than fear it from a distance.
How to use AI to expand skills rather than erode them: three steps
The first is to use AI as a sparring partner. Ask it to challenge your proposal, identify the gaps in your reasoning or take the perspective of a sceptical client, board member or competitor. That forces sharper thinking rather than passive acceptance.
The second is to learn from structure, not merely copy outputs. When AI produces something useful, examine how it was built. What did it prioritise? What logic did it follow? What pattern can you reuse or improve? That turns output into learning material.
The third is to keep hold of taste and the final call. AI can generate options, frameworks and variations at speed. But the judgment about what is sound, what is ethical, what is commercially wise and what is worth attaching to the reputation of the firm still belongs to the human being.
The real dividing line
Over the course of these twelve myths, one pattern has emerged again and again: most so-called AI problems are not actually technology problems. They are leadership, workflow and judgment problems.
AI feels generic when the briefing is generic. It feels inconsistent when the process is inconsistent. It feels risky when oversight is weak. It feels unoriginal when the first average answer is accepted without challenge. And it feels threatening when leaders imagine that using it means surrendering the very professional standards that make them valuable.
But the firms that win will not be the ones that avoid AI out of fear. Nor will they be the ones that hand over judgment and hope for the best. They will be the ones that treat AI as a high-level collaborator: something that requires briefing, context, correction, standards and leadership.
“The future belongs neither to those who fear AI nor to those who surrender to it. It belongs to leaders who use it to sharpen their judgment, not replace it.”— Larysa Hale, Expert Circle
AI may raise the floor of what is possible. Senior leaders still define the ceiling.
Our briefings and programme are designed for leaders who want to make that shift properly: from experimentation to operating model, from prompting to management, and from AI anxiety to AI maturity. Because the real opportunity is not simply to use AI. It is to lead it well enough that your people, your decisions and your business become stronger because of it.
Larysa Hale is the founder of Expert Circle and creator of the AI-Driven Marketing Growth Programme, a structured series of briefings and masterclasses for managing directors and senior leaders in professional services. She has spent over 15 years helping founders, marketing directors and business leaders build commercially grounded growth strategies.
