Firms Predict an AI Productivity Boom Is Coming

Why It Matters

The findings signal that AI will soon affect labor allocation and output growth, shaping corporate strategy and policy responses worldwide.

Key Takeaways

• AI used by 69% of firms globally.
• US leads adoption at 78%.
• Firms expect 0.7% employment decline.
• Projected productivity rise 1.4% in three years.
• Employees more optimistic about jobs than executives.

Pulse Analysis

The survey combines data from the Federal Reserve’s Business Uncertainty panel, the Bank of England’s Decision Maker Panel, Germany’s Bundesbank Online Panel and Australia’s BOSS study, all fielded between November 2025 and January 2026. By using identical questions across four major economies, the research offers a rare, comparable snapshot of AI penetration at the firm level, revealing that roughly seven in ten companies have already integrated AI tools such as large‑language‑model text generators, machine‑learning data pipelines, or visual‑content creators.

Executives report that AI’s labor impact has been negligible so far, but they anticipate a modest net job loss of about 0.7% over the next three years—driven primarily by reduced hiring rather than layoffs. At the same time, expected productivity gains climb to 1.4%, translating into roughly 0.5% annual growth in sales per employee. The outlook varies by country and sector, with finance, insurance and professional services in the UK showing the highest adoption rates, while German and Australian firms project smaller employment effects, likely reflecting tighter labor regulations.

A striking divergence emerges between senior managers and rank‑and‑file workers. Employees surveyed in the US expect AI to boost hiring by 0.5% and raise productivity by 0.9%, contrasting sharply with executives’ more pessimistic employment forecasts and higher productivity optimism. This gap underscores the importance of transparent communication and proactive workforce planning as AI diffuses. Policymakers and business leaders will need to monitor these expectations closely, balancing automation benefits with potential labor market dislocations to ensure inclusive growth.