The AI revolution is forcing senior leaders in M&A to make critical decisions under greater time pressure.
AI has become a standard tool in mergers and acquisitions (M&A), widely used for target screening, valuation support, and due diligence.
While many assume AI will revolutionize dealmaking by automating processes, its real impact is more nuanced. Rather than eliminating complexity, AI relocates it, accelerating analytical work while leaving judgment, governance, and integration challenges largely unchanged.
This shift compresses preparation time, forcing senior leaders to make critical decisions under greater time pressure without reducing the inherent risks of M&A.
Killian McCarthy writes about this in California Management Review. Dr Killian J. McCarthy is a Professor of Strategy at Radboud University in the Netherlands.
AI’s uneven impact across the deal lifecycle
The effects of AI vary significantly across M&A stages. In the front end (screening, valuation, due diligence), AI delivers 30 to 70 percent efficiency gains, compressing weeks of work into days or even hours.
Tasks like data processing, model updates, and document reviews – traditionally handled by junior teams – are now automated, reducing front-end labor by 40 to 45 percent. However, in the back end (negotiation, governance, post-merger integration), AI’s influence is minimal.
Negotiations still require human judgment, governance bodies retain full accountability, and integration success depends on leadership and change management. These are areas where AI offers little relief.
The new bottleneck: speed without better decision-making
As AI accelerates analytical work, decision points arrive faster, leaving less time for deliberation. Errors surface sooner and spread more quickly, while the core risks of M&A –poor judgment, misaligned stakeholders, and execution failures – remain unchanged.
Historically, delays in data gathering and modeling created natural pauses for reflection. AI removes these buffers, exposing senior leaders to higher-pressure decisions without improving the underlying quality of those decisions.
The managerial challenge: redesign, not just adoption
The real test for organizations is not whether to adopt AI, but how to adapt M&A processes to handle its speed responsibly.
Simply layering AI onto existing workflows risks amplifying weaknesses; faster deals do not equate to better deals. Instead, firms must redesign processes, staffing models, governance, and integration capabilities to ensure that analytical acceleration does not outpace decision quality.
AI eliminates friction in screening, modeling, and due diligence, but it does not reduce uncertainty or resolve trade-offs. Organizations must intentionally reintroduce pauses at key decision points, ensuring that faster preparation does not lead to rushed judgments. This requires clearer escalation rules, stronger decision protocols, and explicit checkpoints where assumptions are challenged.
Redesigning teams: from leverage to judgment
Traditional M&A teams relied on large junior teams to process information under senior supervision. AI replaces much of this work, leading to leaner, more senior-heavy teams. While this increases the leverage of experienced judgment, it also concentrates risk because fewer people see the full picture, and informal error detection becomes harder.
Junior analytical work has long served as a training ground for future dealmakers. As AI absorbs these tasks, traditional learning paths disappear. Organizations must create alternative development opportunities, such as shadowing senior leaders and rotating talent through integration roles.
Conclusion: AI exposes, rather than eliminates, M&A’s hardest challenges
AI will transform M&A, but not in the way many expect. By accelerating analytical work, it removes delays without reducing uncertainty, forcing organizations to confront the limits of human judgment and execution capacity.
The firms that thrive will be those that redesign their processes, teams, and governance to absorb AI’s speed – not by automating the hard parts, but by exposing them. Without deliberate adaptation, faster deals may simply lead to faster failures.
