You’ve spent fifteen years building the intuition that got you to the top. It worked. But in boardrooms today, intuition is increasingly asked to show its sources. AI hasn’t replaced executive judgment — it has raised the bar on what justifies it.
Executive Research Skills: The New Strategic Edge in an AI-Driven Era
For years, executive intuition was enough to get you to the top. It worked. Now boards want to see the reasoning behind the call. AI hasn’t replaced executive judgment, but it has raised the bar on what counts as a good reason for a decision.
This shift creates a new requirement: executive research skills. These aren’t a step toward a diploma. They are concrete, learnable habits – framing a question you can actually test, reading evidence without being fooled by it, and holding your ground in front of peers without leaning on your title.
In 2026, speed of decision matters less than the ability to question what you are deciding on.
Companies spend a lot on upskilling, and almost all of it is aimed at the operational workforce. The people running those teams rarely get the same attention.
According to LinkedIn’s 2025 Workplace Learning Report, 49% of learning and development professionals say their executives are concerned that employees lack the skills to execute the business strategy. The concern is sincere. But it is always directed downward. Whether experienced managers and leaders themselves have the skills to formulate that strategy in the first place is rarely raised in the same conversation.
Deloitte’s 2025 Global Human Capital Trends echoes the same paradox. While 85% of leaders say it is critical to build the organization’s ability to adapt at the pace required today, only 7% say they are actually leading on it. The gap between wanting to adapt and actually doing it is wide. And it is bluntest at the top: the people approving AI projects often can’t judge whether the systems they’re funding actually do what’s promised.
The hard part isn’t admitting you need to learn new tools. It’s admitting that the way you think may not be enough anymore. That sentence is rarely said out loud, and even less often acted on. Every layer below is being upgraded with new technology. The layer running the company has mostly been left to sort itself out.
Executive intuition was built for stable markets, predictable cycles, and information that moved slowly. In that world, ten or more years of pattern recognition counted for a great deal. That world is mostly gone.
Strategy ages faster now, and there is far more information than anyone can read. AI turns out more data, more correlations, and more apparent insights than any leader can absorb in a quarter. Without a method to test it, intuition doesn’t keep up with that. It just filters out whatever doesn’t fit what you already believe.
Recent research published in Harvard Business Review found that executives who used generative AI to make forecasts produced significantly worse predictions than those who did not – because the tools amplified, rather than challenged, their existing assumptions. A separate HBR analysis on cognitive bias in AI-augmented decision-making describes the same dynamic: users with confirmation bias selectively accept AI outputs that align with their preconceptions, creating an echo chamber in which bad assumptions go unchallenged.
The point is not that intuition is wrong. It is that intuition is now a precondition, not a conclusion. Experience tells a leader where to look; research tells them whether they saw what they thought they saw. In the AI era, the leaders who treat their judgment as defendable rather than self-evident are the ones who keep their seat at the table.
The phrase « research skills » carries baggage. It evokes labs, journals, peer reviews, and 400-page methodology chapters. For a working leader, that picture is misleading, and it scares a lot of people off. Executive research skills aren’t a step toward a diploma. They’re a set of thinking habits you can use in any senior role.
The first skill is the ability to transform a messy business problem into a verifiable question. Not « should we expand into Southeast Asia? » – but « what would have to be true for Southeast Asian expansion to deliver above-cost-of-capital returns within 36 months? » The first question gets you a room full of opinions. The second one forces people to bring evidence. More and more strategic conversations in 2026 hinge on that difference.
The second skill is the rigor of the reasoning chain – not the volume of the slides. It means being able to read a study critically, recognize when a correlation is being mistaken for causation, interpret a data point without over-interpreting it, and defend a conclusion in front of peers without retreating into seniority.
These are not academic indulgences. They are the operational skills of any leader who needs to convince a board, an investor, or a regulator that a strategic decision was not improvised. Increasingly, they are also the skills that boards themselves are starting to look for when filling non-executive seats – one horizon among several that this kind of analytical leadership opens up.
AI runs the analysis, speeds it up, and pulls it together. What it doesn’t do, and shows no sign of doing soon, is decide which question is worth asking in the first place.
In McKinsey’s 2025 State of AI report, 88% of organizations now use AI in at least one business function, up from 78% a year earlier. Adoption isn’t the problem. Impact is: only about 6% of respondents qualify as « AI high performers » – those whose deployment translates into more than 5% of EBIT attributed to AI. What separates the 6% from everyone else isn’t better technology. It’s clearer thinking at the top.
In ISC Paris’s Transformation Compass podcast, Jean-Christophe Laissy – Partner at Boston Consulting Group, former CIO of Veolia, and ISC Paris alumnus – puts the same diagnosis in plainer terms: « 70% of companies are falling short on their objectives in terms of digital transformation. Most of the time it’s because of organizations or human factors. » His 10-20-70 rule captures the asymmetry observed in the field: roughly 10% of the effort goes into the algorithm, 20% into technology and data, and the remaining 70% into transforming people, processes, and the organization.
The McKinsey data identifies what separates the two groups at the leadership level. AI high performers are roughly three times more likely than their peers to have senior leaders who actively model AI use, sponsor initiatives through ambiguity, and protect AI budgets during cost-cutting cycles. They are not necessarily more technical. They ask sharper questions of their teams, their data, and the AI itself.
MIT Sloan Management Review made the same observation in its 2025 piece on the future of expertise: the value of a senior professional is shifting from content to context – from being the person with the answer to being the person who knows which question is worth asking. Research-based thinking suggests that AI can compress strategic decision cycles meaningfully, but only when paired with disciplined human inquiry. The acceleration is real. The discernment isn’t automatic.
Learning to ask what you should be researching, not just what you should decide, is the core of what the ISC Paris DBA sets out to teach. If that’s a question you’ve been putting off, the program is one place to take it on.
A quiet but steady movement is taking shape across European business schools. Experienced managers and leaders – with ten or more years of leadership behind them – are enrolling in doctoral-level programs designed for working professionals. Not to leave their careers, but to make those careers defensible at a different altitude.
These programs go by several names: Executive DBA, doctoral residency, structured peer-learning cohort. The format with the highest internal coherence is the Doctorate of Business Administration. A DBA is built around a single principle: applied research focused on a real business problem from the candidate’s own organization. It is not a thesis written in isolation by a junior academic. It is a 36-month process in which an experienced leader learns to investigate one problem with academic rigor – and to apply that rigor to every decision they make afterward.
Once a leader accepts that executive research skills matter, the next question becomes which format actually builds them – and how a DBA differs from the more familiar MBA or PhD routes. An MBA optimizes for breadth and speed of decision. A PhD optimizes for theoretical contribution. A DBA optimizes for something different: the structured ability of an experienced leader to interrogate their own field, contribute knowledge to it, and return to their organization able to think through a problem more carefully. The diploma matters less than that change in how you work, and that change stays with you long after the program ends.
There is no checklist to close on here. The shift this article describes doesn’t start with a course or a certificate. It starts with a single, uncomfortable question, asked in private – before any application, before any decision.
Some of the clearest evidence of that shift is what happens when executives translate research methods into organizational practice – when the question they have spent months refining becomes the question their team can no longer ignore. That kind of compounding effect is rare.
The question itself is simple: would the strategic decisions made over the last twelve months hold up under the scrutiny of a research committee?
If the answer is « I’m not sure, » that’s worth paying attention to. It’s usually where this kind of work begins. Executive research skills aren’t a credential you collect. They’re the habit of asking that question again and again, and not settling for the easy answer.
This conversation around AI, executive judgment, and the changing geometry of leadership runs further through the ISC Paris podcast on AI and leadership. The January 2027 intake of the ISC Paris DBA is built for leaders who have started asking the question above – and who are ready to make the answer to it the next chapter of their career.
