AI, Margins & the Future of M&A: A Partner's Honest Take

For decades, M&A advisory has operated on a familiar model: assemble a team of analysts, grind through data rooms, and bill for hundreds of hours of manual due diligence. The margins were comfortable, the process was predictable, and the barriers to entry kept competition manageable.

But that world is shifting — fast. AI is compressing timelines that once took weeks into days, automating pattern recognition across thousands of documents, and fundamentally challenging the labour-intensive model that has defined the industry.

Let's be specific about what AI is doing today in M&A workflows. It's not replacing partners or senior advisors — that's the fear, but it's not the reality. What it is doing is eliminating the grunt work that junior analysts spend 60-70% of their time on.

Document ingestion and categorisation that once took a team three days can now happen in hours. Cross-referencing financial statements against management representations — traditionally a manual, error-prone process — is now handled by AI agents that flag discrepancies with confidence scores.

The result? Deal teams can focus on what actually matters: strategic insight, relationship management, and the nuanced judgment calls that no algorithm can replicate.

Here's where it gets interesting for partners. If AI reduces the billable hours on a typical engagement by 30-40%, what happens to revenue? The knee-jerk answer is that it shrinks. But the more thoughtful answer — the one forward-looking firms are already acting on — is that it transforms.

Firms that embrace AI can take on more engagements simultaneously, deliver higher-quality work products, and differentiate on speed and insight rather than headcount. The margin per engagement might compress, but the margin per partner can actually expand.

None of this works without trust. When you're advising on a £500 million acquisition, the stakeholders need to know that the AI-generated insights are reliable, explainable, and auditable. This is why transparency in AI tools isn't a nice-to-have — it's table stakes.

The best AI platforms for M&A don't operate as black boxes. They show their working, provide confidence levels, and make it easy for human experts to validate and override. That's the standard the industry should demand.

The firms that will thrive in the next decade are the ones making strategic bets on AI today — not as a cost-cutting exercise, but as a capability multiplier. They're investing in tools that augment their teams, training their people to work alongside AI agents, and rethinking their service delivery models.

The M&A landscape isn't going to wait for laggards. The question for every partner isn't whether AI will change their practice — it's whether they'll be the ones leading that change or reacting to it.