Updated
Updated · Yahoo Finance · Aug 11
Barclays Says $800 Billion AI Spend Has Yet to Lift Productivity as Meta Targets $145 Billion
Updated
Updated · Yahoo Finance · Aug 11

Barclays Says $800 Billion AI Spend Has Yet to Lift Productivity as Meta Targets $145 Billion

2 articles · Updated · Yahoo Finance · Aug 11

Summary

  • $800 billion in annual AI spending across major U.S. tech companies has not yet produced measurable economy-wide productivity gains, Barclays senior economist Jonathan Millar said in a CNBC interview.
  • Millar said capex alone does not create output gains because firms still need organizational change, worker reskilling and broader industry restructuring before AI infrastructure becomes productive.
  • BEA data shows the Information sector grew 1.5% in Q1 2026, down from 2.5% in Q4 2025, while faster AI adopters still do not appear to be posting stronger growth.
  • Meta illustrates the strain: it narrowed 2026 capex guidance to $130 billion-$145 billion, while Q2 free cash flow fell 91.31% to $784 million and long-term debt rose to $83.66 billion.
  • Millar compared the pattern to the 1980s IT boom, when heavy investment lifted markets and spending long before productivity data improved more than a decade later.

Insights

Why are businesses seeing massive task-level AI improvements while broader economic data shows zero meaningful productivity gains?
With tech giants sinking $800 billion into AI infrastructure, are we witnessing a visionary leap or history's biggest capital trap?
Could the AI investments destroying Meta's free cash flow today actually be the necessary price for controlling tomorrow's digital economy?