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America's productivity rate doubles to 2% as economists debate the cause

America's productivity rate doubles to 2% as economists debate the cause

New Capabilities

Five straight years of high productivity growth have surprised the Fed. Nobody agrees whether AI, remote work, or a business-creation boom is responsible.

May 15th, 2026: Bloom: remote work, not AI, explains the boom

Overview

For most of the 2010s, American workers produced about 1% more output per hour each year. Since the third quarter of 2022, that figure has roughly doubled. The Federal Reserve confirmed this week that the 2% annual pace has now held for nearly four years.

Higher productivity lets wages rise without inflation rising with them. The fight now is over the cause. Stanford economist Nicholas Bloom credits remote work. The Kansas City Fed points to a surge in new business formation. Headlines credit artificial intelligence, but Fed researchers say the AI effect has not yet shown up clearly in the data.

Why it matters

Sustained 2% productivity growth, double the 2010s pace, raises real wages by roughly $10,000 over a decade for a median worker without forcing the Fed to fight inflation.

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Key Indicators

2.0%
Annual productivity growth, 2022-2026
Nonfarm business output per hour, a doubling from the 2010s average of about 1%.
2.9%
Q1 2026 productivity growth, year-over-year
Bureau of Labor Statistics figure released May 7, 2026.
54.1%
Labor share of output
Lowest reading since the BLS series began in 1947. Capital is capturing more of the gains than workers.
5,000+
Executives surveyed by Bloom on AI use
Stanford research covering CFOs and CEOs in the US, UK, Germany, and Australia found firm-level AI productivity effects still small.

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People Involved

Jerome Powell
Jerome Powell
Sitting Fed chair through May 2026
 Nick Bloom
Nick Bloom
Leading academic voice arguing remote work, not AI, explains the productivity gains

Organizations Involved

Board of Governors of the Federal Reserve System
Board of Governors of the Federal Reserve System
Central Bank and Bank Regulator
Tracking productivity as a core input to monetary-policy decisions

The US central bank, whose dual mandate to keep prices stable and employment high makes productivity growth one of its most-watched inputs.
Bureau of Labor Statistics
Bureau of Labor Statistics
Federal statistical agency
Publishes the official productivity data underlying the debate

The federal agency that measures labor productivity and unit labor costs each quarter.
Federal Reserve Bank of Kansas City
Federal Reserve Bank of Kansas City
Regional Federal Reserve bank
Published research challenging the AI-driven narrative

One of twelve regional Federal Reserve banks, with a recent research focus on what's actually causing the US productivity gains.

Timeline

July 2022 May 2026

7 events Latest: May 15th, 2026 · 1 month ago
Tap a bar to jump to that date

  1. Bloom: remote work, not AI, explains the boom

    Latest Analysis

    Fortune publishes Bloom's case that work-from-home adoption tracks the productivity surge more closely than AI deployment does.

  2. Federal Reserve confirms 2% annual productivity pace

    Statement

    Fed communications confirm productivity has averaged roughly 2% a year since 2022, double the 2010s pace. Powell calls it one of the biggest positive surprises of the recovery.

  3. BLS releases Q1 2026 productivity report

    Economic Data

    Nonfarm business productivity up 0.8% from the prior quarter and 2.9% from a year earlier. Labor share at 54.1%, the lowest since 1947.

  4. Bloom presents AI-productivity analysis at SF Fed

    Research

    Stanford's Nicholas Bloom shows survey data from over 5,000 executives suggesting firm-level AI productivity effects are still small.

  5. Fed begins cutting rates

    Monetary Policy

    Cooling inflation and a sustained productivity climb give the Federal Reserve room to cut rates without reigniting price pressures.

  6. ChatGPT launches publicly

    Technology

    OpenAI releases ChatGPT, marking the commercial debut of widely accessible generative AI. The timing coincides with the start of the productivity climb but precedes most enterprise rollouts.

  7. Productivity uptrend begins

    Economic Data

    BLS data later shows the post-pandemic productivity climb starting in the third quarter of 2022, the same quarter ChatGPT was being readied for public release.

Historical Context

3 moments from history that rhyme with this story — and how they unfolded.

1995-2004

The 1990s IT productivity boom (1995-2004)

After two decades of stagnant productivity, US output per hour grew at 2.7% a year for nearly a decade. Economists credited personal computers, business software, and the buildout of corporate IT networks. Fed Chair Alan Greenspan famously bet on the boom and kept rates lower than his board wanted.

Then

Real wages rose strongly, unemployment fell below 4%, and the federal budget moved into surplus.

Now

Productivity growth slowed sharply after 2004 and averaged near 1% for the 2010s. The IT boom turned out to be a one-time payoff, not a permanent step up.

Why this matters now

The current debate mirrors the 1990s: a new general-purpose technology arrives, productivity climbs, and economists argue over whether the gains will compound or fade. Greenspan's bet that the trend was real, not noise, looks a lot like the choice Powell faces now.

1948-1973

Post-war productivity boom (1948-1973)

US labor productivity grew at 2.8% a year for a quarter-century. Drivers included electrification of factories, the interstate highway system, and college access through the GI Bill. Real median wages roughly doubled.

Then

Rising real wages built the post-war middle class and funded a large expansion of homeownership.

Now

Productivity growth collapsed in 1973 and did not return to that pace for nearly three decades. Economists still argue about why.

Why this matters now

Shows that productivity booms can run for decades, but also that they can end abruptly without obvious cause. Bloom's WFH thesis is essentially that a single technology shift, like electrification, can reset the trend.

1987

The Solow paradox (1987)

Economist Robert Solow observed: "You can see the computer age everywhere but in the productivity statistics." Despite heavy corporate IT spending in the 1980s, measured productivity stayed weak. Then in the mid-1990s, the gains finally appeared.

Then

Sparked years of debate over whether productivity statistics were missing the value of new technology.

Now

Solow's paradox resolved itself when the 1990s boom arrived, vindicating those who argued the lag was real.

Why this matters now

Today's debate is a near-mirror image: AI hype is everywhere, but Fed researchers say it has not shown up clearly in the data. The Solow lesson is that general-purpose technologies often take a decade or more to register in productivity statistics.

Sources

(6)
Human Progress Fortune Federal Reserve Bank of San Francisco Federal Reserve Bank of Kansas City Bureau of Labor Statistics Federal Reserve Bank of Atlanta