McKinsey Global Institute data shows adoption of generative AI rising to 65% of surveyed organizations and overall AI adoption reaching 72% by mid-2024, concentrated in marketing, sales, product development, and IT. Organizations report both cost reductions and revenue gains, concentrated in HR and supply-chain functions. However, economist Daron Acemoglu projects modest total factor productivity gains of 0.55–0.71% over a decade even under optimistic assumptions, and skeptics note AI performance remains limited on complex, context-dependent tasks. This creates a structural gap between reported adoption and claimed productivity gains: enterprises are deploying widely but measured TFP impact remains contested and unvalidated at scale. For financial institutions, this signals risk that recognized revenue from AI software may not follow adoption curves if productivity ROI remains marginal.
280 other tracked developments touching the same claims.