Goldman finds ‘no meaningful relationship between AI and productivity at the economy-wide level,’ but a 30% boost for 2 specific use cases | Fortune
Nick Lichtenbergfortune.com
Author Perspective
Across 6 tracked claims, Nick Lichtenberg skews pessimistic.
17% optimistic50% neutral33% pessimistic
Claims from this article
6 claims
Analysts have revised their 2026 capex expectations for hyperscalers to $667 billion, a 24% increase from just the start of the earnings season and representing a 62% jump compared with 2025.
OptimisticOptimisticNick Lichtenbergfortune.com2026confidence high
AI adoption will take much longer than the next 12 to 18 months mentioned in viral essays about AI's impact on the workforce.
NeutralNeutralNick Lichtenbergfortune.comwithin 1-5 yearsconfidence high
AI spending will contribute roughly 1.5 percentage points to measured capex growth this year, though its net impact on overall GDP growth will be a minimal 0.1 to 0.2 percentage points owing to a heavy reliance on imported capital goods.
NeutralNeutralNick Lichtenbergfortune.com2026confidence moderate
There is still no meaningful relationship between productivity and AI adoption at the economy-wide level.
NeutralNeutralNick Lichtenbergfortune.com2026confidence high
Goldman's baseline forecast is that 6% to 7% of workers—roughly 11 million jobs—will eventually be displaced by AI automation over the long term.
PessimisticPessimisticNick Lichtenbergfortune.combeyond 5 yearsconfidence moderate
Localized productivity gains are already beginning to influence corporate hiring strategies, leading to a nascent reluctance to hire in anticipation of potential productivity gains.
PessimisticPessimisticNick Lichtenbergfortune.com2026confidence moderate