From operational tool to strategic voice: how AI is starting to take over the work of consultants and shape decisions at the highest level of the company.
From operational tool to strategic voice: how AI is starting to take over the work of consultants and shape decisions at the highest level of the company
This article looks at how AI is moving beyond an operational tool, the kind that automates tasks, reports, and basic analysis, to become a strategic voice inside companies, one that can shape decisions at the C-level and in the boardroom. Working much like traditional consultancies, but with far more scale and speed, AI is already producing diagnostics, simulations, and strategic recommendations that match or beat what human analysts deliver. Studies from Harvard Business Review and McKinsey show that in quantitative scenarios AI can outperform human leaders on efficiency, though it still depends on executives to create genuinely disruptive strategy. The future points to hybrid boards where AI agents and human leaders work side by side, and the competitive edge will come from how well a company blends these forms of intelligence for faster, sharper, more transformative decisions.
AI is climbing the ranks. How far will it go?
So far, corporate use of AI has been mostly operational. Automate tasks, speed up reports, summarize meetings, produce documents in seconds. More recently, some tools have started to help with scenario analysis and projections too. But the disruption on the horizon runs deeper: it can climb from the factory floor to the manager’s desk, to the C-level, and even to the boardroom.
That is where it gets provocative. Applied at the strategic level, AI works exactly the way consultancies always have, only better. The classic consulting model rests on gathering facts and data, analyzing historical series, building frameworks, and constructing strategic models from past business cases. That is precisely what large language models like the GPTs do: they recombine existing data, test hypotheses, spot patterns, and offer consistent recommendations. Only at a scale and speed no army of human analysts could match.
What is a consultancy actually for these days?
The Economist article “Who needs Accenture in the age of AI?” (June 26, 2025) lays out the dilemma plainly. If for decades firms like Accenture thrived by translating complexity into strategy, today the very logic of that business is at risk. Why outsource diagnostics and action plans when internal systems can already produce comparable analysis, often better? Once strategic intelligence becomes part of the corporate infrastructure itself, the middleman turns superfluous.
This is not just theory. A 2024 Harvard Business Review article argues that across several functions typical of CEOs, such as decisions on product portfolio or capital allocation, AI already performs more efficiently than human leaders, especially in highly quantitative contexts (HBR, “AI Can (Mostly) Outperform Human CEOs”). Along the same lines, McKinsey notes that AI is reshaping the practice of strategy development itself, allowing faster diagnostics, sophisticated simulations, and a reduction in the human biases that so often distort choices (McKinsey, “How AI is transforming strategy development”).
Even so, there is a boundary to keep in mind. LLMs are trained on data from the past. Their power lies in recombining what has already been seen, not in inventing what has never been tried. That means that while AI can project scenarios based on facts and evidence, creating genuinely new strategy, the kind that breaks established patterns and opens brand-new markets, still depends on human leadership.
A false dilemma
It is reasonable to imagine that the boards of the future will be hybrid: made up of AI agents specialized in finance, risk, markets, or operations, alongside human executives who can translate those diagnostics into business vision. In that scenario, the competitive edge will not come from choosing between people and machines. It will come from how well you blend the two for faster, better-grounded, more strategic decisions.
AI has already found the boardroom. The question for companies now is not whether it will have a seat at the table, but how, and in what roles. The organizations that answer first will likely set the pace of the next big wave of business competitiveness.