Brynjolfsson, Gordon Bet on AI Lifting US Productivity Above 1.8% by 2030
Updated
Updated · Bloomberg · May 11
Brynjolfsson, Gordon Bet on AI Lifting US Productivity Above 1.8% by 2030
10 articles · Updated · Bloomberg · May 11
$400 is riding on whether US labor productivity averages above or below 1.8% a year from 2020 to 2030 as AI spreads through the economy.
Erik Brynjolfsson of Stanford backs a faster AI payoff, while Northwestern's Robert Gordon argues the technology's gains will arrive more slowly.
The wager captures a larger policy question: whether AI will materially raise economic growth or displace workers faster than governments and employers are preparing for.
By 2030, the outcome would offer a simple scorecard for one of the decade's biggest economic debates—how quickly AI turns technical progress into broad productivity gains.
Will AI’s greatest impact be on society in ways that traditional economic metrics like GDP and productivity cannot measure?
With 80% of AI projects failing, is the real bottleneck to productivity our corporate structures, not the technology itself?
If AI automates entry-level jobs, how will the next generation gain the experience to become the experts AI supposedly needs?
AI, Productivity, and the 1.8% Challenge: The Brynjolfsson-Gordon Bet in Light of 2025’s Surge
Overview
In 2025, the United States saw a strong surge in productivity growth, with nonfarm business productivity jumping 5.2% in Q3 and 2.8% in Q4. These gains were driven by upward revisions to productivity for 2024 and 2025, mainly due to lower employment and hours worked, while output stayed steady. Since early 2023, productivity growth has stayed well above trend, helping to boost real incomes and ease inflation. This recent acceleration has intensified the debate between economists Erik Brynjolfsson and Robert Gordon about whether new technologies like AI can sustain high productivity growth through 2030.