Originally published at nlocoding.com
41%of AI integration projects exceed budget or fail outright (Gartner, 2026)
AI in software integration blows up more projects than it saves. That’s not a hot take. That’s the number. Most teams don’t talk about it. They just quietly patch the mess and move on.
Context: The Stakes in 2026
Integrating AI across legacy and cloud systems isn’t a ‘nice to have’ in 2026. It’s survival. 88% of enterprises in the US list “AI-powered integration” as their #1 IT priority (IDC, 2026). But budgets aren’t keeping up. Median AI integration spend is stuck at $624,000 per year, while the average cost of a failed project is $1.4 million (McKinsey, 2026). If you get this wrong, you don’t lose efficiency. You lose the room.
