AI is fundamentally reshaping the world of consulting — including in M&A. For decades, the classic “pyramid” model dominated (large groups of juniors collecting data and building models, supported by a small top of senior partners). That model is now being undermined by AI.
Today, tools can run analyses, valuation models, and market scans faster, cheaper, and often better than large teams of analysts. The result: the pyramid shifts into an “obelisk” — leaner, faster, and much more driven by senior expertise.
In this new model, three critical roles emerge for the M&A advisory firm of the future:
1. AI Facilitators
Younger professionals who master AI tools and data platforms. They ensure that deal teams have immediate access to deep analyses, benchmarks, and scenarios, without weeks of preparation.
2. Engagement Architects
Experienced dealmakers who translate and orchestrate: they define the problem, interpret AI outputs with their own judgment, and turn these into strategic advice. Their role shifts from spreadsheet work to direction and synthesis.
3. Client Leaders
Partners who maintain long-term relationships with CEOs, CFOs, and investors. They guide decision-makers through uncertainty, advise on how AI can be applied in due diligence or integration, and safeguard trust in an era of acceleration and disruption.
The implications are profound: advisory firms that cling to the classical model will remain more expensive, slower, and less relevant. AI-native firms — or established players willing to reorganize — will deliver insights faster, work with smaller teams, and spend more time on actually guiding transactions.
In M&A, where timing and persuasive power are critical, this can be the difference between a successful deal and a missed opportunity.
This new model also reshapes talent development. Where the traditional intake of generalist MBAs long formed the backbone, deal teams now require smaller cohorts who are immediately proficient with AI workflows and data analysis. Training shifts from “putting in the hours” to “adding value from day one.” Governance and ethics also become more important: AI can accelerate analyses, but the ultimate responsibility for advice and decision-making remains with humans.
For the M&A sector, this means that value creation no longer depends on scale and junior capacity, but on speed, sharp insights, and the strength of senior judgment supported by AI. Advisory firms that embrace this model will be the winners in a market where deals are faster, more complex, and more competitive.
Source: based on the article “AI Is Changing the Structure of Consulting Firms” in Harvard Business Review, by David S. Duncan, Tyler Anderson, and Jeffrey Saviano.
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