McKinsey's QuantumBlack division published a report examining why enterprise AI spending keeps climbing while measurable financial return lags behind, a pattern the firm calls the gen AI paradox. According to McKinsey's most recent Global Survey on AI, more than 78 percent of companies now use generative AI in at least one business function, up from 55 percent a year earlier. Despite that growth, more than 80 percent of companies report no material contribution to earnings from their generative AI initiatives, and only 1 percent of surveyed enterprises consider their generative AI strategy mature.

McKinsey attributes the gap to an imbalance between widely deployed horizontal tools, such as enterprise copilots and chatbots, and higher-impact function-specific applications that rarely scale. Fewer than 10 percent of function-specific AI use cases make it past the pilot stage, the report found, often due to fragmented initiatives, thin technical support, and data quality gaps.

The report puts a dollar figure on the opportunity: traditional analytical AI carries an estimated value potential between 11 trillion and 18 trillion dollars globally, while generative AI could unlock an additional 2.6 trillion to 4.4 trillion dollars on top of that, concentrated in marketing, sales, and supply chain functions.

McKinsey's case studies point to where the return shows up when AI moves from pilot to redesigned workflow. One customer service example found that reimagining a process around autonomous agents, rather than simply bolting agents onto existing steps, allowed up to 80 percent of common incidents to resolve without human intervention.

Source: McKinsey and Company - https://www.mckinsey.com/capabilities/quantumblack/our-insights/seizing-the-agentic-ai-advantage