America’s productivity surge came from remote work, not AI: economist
NEW YORK, UNITED STATES — United States non-farm business output has grown 2% annually over the past five years — double the 1% rate of the 2010s — and Stanford economics professor Nicholas Bloom says the driver is remote work, not artificial intelligence (AI), according to a report from Fortune.
The productivity boom has a work-from-home explanation
Bloom points to a timeline that closely follows the expansion of remote work policies rather than AI adoption.
Fewer commutes and fewer office distractions translated directly into output gains, he argues, while remote work also supported new business creation and expanded labor force participation.
The gains began accelerating after 2020, exactly when work-from-home adoption surged. Federal Reserve Chairman Jerome Powell acknowledged the trend in recent remarks.
“I never thought I’d see this many years of really high productivity,” Powell said.
The 2% annual growth rate of the past five years represents a sustained productivity expansion that rivals the technology-driven gains of the 1990s — and it predates widespread AI adoption by years.
AI gets credit it hasn’t earned yet
Only 13% of employees use AI daily, and a St. Louis Fed study projects generative AI could eventually contribute 1.1% to aggregate productivity gains — a meaningful figure that has yet to materialize at scale.
Bloom cites “a clear post-2020 surge in productivity growth exactly when WFH [work from home] ramped up,” presenting the timing as the most direct evidence.
More than half of Fortune 100 companies nonetheless now require fully in-office work, with Amazon, Home Depot, Instagram and Stellantis all implementing five-day mandates.
“Coming into the office does absolutely help with collaboration, mentoring and culture, but you don’t need to be in every day to achieve that,” Bloom said.
He proposes a hybrid model — two office days for collaboration and mentorship, three remote — and warns that abrupt scheduling changes “generates huge anger, churn and disruption.”
For BPO and outsourcing companies, Bloom’s findings reframe the business case for distributed work. Remote and hybrid workforce models — already the structural baseline for offshore and nearshore operations — are now backed by a productivity record that domestic RTO mandates are actively working against.
As U.S. companies chase in-office headcount at the cost of output, outsourcing partners operating lean, distributed teams have the data to argue they are running the better model. The 2% productivity growth driven by flexible work is not a historical footnote — it is the benchmark against which every return-to-office mandate should be evaluated.
