AI speeds deal execution, but decisions stay human

2026-07-08 · Source: The AI Journal · Field: Finance & Economics — Corporate Finance & Treasury, Capital Markets & Investment Management · Depth: Intermediate, medium

Summary

Artificial intelligence is accelerating deal execution in mergers and acquisitions (M&A), particularly during the document-intensive due diligence phase. Datasite reported a 22% year-over-year increase in new deal kickoffs in Q1, accompanied by shorter prep and diligence timelines. AI software can rapidly process, sort, summarize, and compare thousands of pages. A 2026 McKinsey survey indicated that generative AI users in M&A achieved approximately 20% average cost reductions, with 40% reporting a 30-50% reduction in deal cycles. Furthermore, a 2025 Deloitte survey found 86% of corporate and private equity leaders have integrated generative AI into M&A workflows, 65% within the preceding year. Despite these operational efficiencies, critical decisions to buy, sell, or walk away remain human-driven, involving investment committees, boards, and operators who must align on strategy, price, and risk. This creates a gap where faster execution meets slower, human-centric judgment.

Key takeaway

For M&A leaders aiming to optimize deal processes, recognize that AI accelerates execution and due diligence, but does not replace strategic decision-making. Focus your investments on integrating AI within governed workflows to enhance data room management and document analysis. Ensure traceability and accountability by training your teams to verify AI outputs. Use the technology to sharpen evidence for discussions, not to automate complex human judgments on risk and alignment.

Key insights

AI significantly speeds M&A execution and diligence, but human judgment remains essential for strategic decisions.

Principles

• AI scales in deals only when governance scales with it.
• Automation is distinct from decision model transformation.
• Augmentation, not replacement, is the realistic AI frame.

Method

AI can read, sort, summarize, and compare documents, pull key terms, track changes, and draft issue lists. It also cleans data, runs cross-checks, drafts model drivers, and flags outliers.

In practice

• Query live, permissioned deal content with AI.
• Standardize committee pre-reads with AI-assembled facts.
• Train teams to verify AI-generated summaries.

Topics

• Mergers and Acquisitions
• Due Diligence
• Generative AI
• Deal Execution
• AI Governance
• Datasite

Best for: CTO, VP of Engineering/Data, Investor, Consultant, Executive, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.