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Fed study: AI’s slow productivity story fits a century-old historical pattern
Fortune • • business
Key Points:
- AI-driven productivity gains are currently more anticipated than realized, with executives expressing strong optimism but data showing limited immediate impact on overall productivity statistics.
- Research analyzing nearly 490,000 earnings call transcripts found that AI-related productivity discussions rose sharply post-ChatGPT debut, yet about 95% focus on future expected gains rather than current results.
- Historical patterns suggest that widespread productivity benefits from transformative technologies like AI typically take decades to materialize due to slow diffusion and necessary organizational adjustments.
- Economic analyses from Federal Reserve banks corroborate a modest and uneven productivity increase from AI so far, concentrated in a few industries and accompanied by increased investment and R&D among AI-positive firms.
- The complex nature of productivity, involving multiple interdependent processes, means AI accelerates only certain tasks, making it difficult to measure its full impact until breakthrough applications emerge unpredictably over time.
