Can Data and AI Sabotage M&A Dreams?
Part of the problem is our casual attitude to data readiness and AI audits during due diligence. These can bite back post-merger.
Asia-Pacific M&A activity is in full swing, but a critical problem lurks beneath those heady numbers. Most organizations rushing into these deals have no idea what AI systems they're actually acquiring — or what shadow AI already runs inside their own walls.
“Despite 30 to 40 billion [dollars] being invested in generative AI, 95% of enterprise AI pilots delivered no measurable business impact.”
David Irecki, chief technology officer and senior director of solution consulting for APJ at Boomi, frames the issue, referencing the MIT study that identified integration — not algorithms or compute power — as the primary failure point. And when two companies merge, this integration challenge multiplies to the nth power.
The problem really starts with an unruly data architecture.
Author's summary: Data and AI can sabotage M&A deals.