McKinsey Says AI Is Worth $2.52 Trillion a Year. A 30% Cost Rise Cuts That by a Third.
McKinsey's October 2026 report, The AI Value Curve: The Economics of Applying AI to Existing Work, puts AI's global annual value pool at $2.52 trillion - but models a brutal sensitivity: a 30% increase in effective AI cost collapses the pool to $1.67 trillion, an $850 billion swing, and the US alone falls from $960 billion to $640 billion. With roughly $7 trillion of AI infrastructure spending expected by 2030, the report argues many businesses are still measuring AI adoption instead of value, that the biggest returns come from augmenting high-skill professional work (legal, healthcare, management, software) rather than automating low-wage volume, and that AI economics are local, not global, because labor cost baselines differ by country. Financial services leads with $530 billion in annual value, followed by education at $410 billion.
Published · By Alfred Belvedere
Today's trend: McKinsey 'The AI Value Curve' (Oct 2026): AI could generate $2.52 trillion in annual global economic value, but a 30% rise in effective AI cost cuts the pool to $1.67 trillion (-$850B); financial services $530B, education $410B; biggest wins augmenting high-skill professionals; AI economics are local, not global