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By every measure, U.S. companies are winning on AI adoption—but a series of high-profile snafus shows they’re getting pummeled by costs

U.S. companies are moving AI from pilot programs into broader deployments, but a series of high-profile snafus and rising costs are reshaping expectations. Fortune highlights OECD warnings about potential “scarring effects” and notes that, at least for now, there are no clear signs of widespread labor displacement from AI. The piece also captures political attention around AI—from Bernie Sanders advocating worker ownership to bipartisan interest echoing in the Trump White House—reflecting a broader debate over how to govern accelerating automation. Against this backdrop, executives such as Cognizant’s leadership frame AI as a technology that may reshape management practices, including middle management roles. The article points to ongoing demand for AI-enabled services while emphasizing that capital expenditure and operating costs continue to climb as firms integrate data, governance, and security. The juxtaposition creates a cautious outlook: AI adoption is advancing, but the cost-to-value equation remains a critical bottleneck for many organizations. The discussion underscores implications for budgeting, labor-market dynamics, and policy design as investors, suppliers, and policymakers navigate a rapidly evolving landscape.