""It's not really hitting the top line yet in full force," John Graham stated, emphasizing that there is a delay in realizing the financial benefits of AI investments. He noted that reported productivity gains are not yet reflected in revenue statistics."
""By productivity, we explicitly ask output per employee," Graham explained, suggesting that CFOs may be overly optimistic about AI's potential impact on productivity without immediate financial results."
""The pattern mirrors the famous 'productivity paradox' described by economist Robert Solow in 1987," the paper's authors noted, indicating that AI may be following a similar trajectory where initial gains are not immediately visible in productivity statistics."
Research from Duke University and Federal Reserve Banks indicates a 'productivity paradox' where CFOs report AI-driven productivity gains of 1.8% for 2025, but actual revenue data shows smaller gains. The delay in realizing financial benefits is attributed to timing, as companies that invested in AI late in 2025 have not fully implemented capabilities. Gains vary by industry, with high-skill services like finance experiencing the most growth, while manufacturing and low-skill services show slower progress.
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