Cathie Wood says AI could double productivity growth and generate $10–12 trillion — hardware demand lends credence

What Wood said

It has been reported that Cathie Wood, founder of ARK Investment Management, told Bloomberg that artificial intelligence is already lifting labour productivity and could push annual nonfarm productivity growth from about 2.8% today to as high as 6% as AI tools spread. She reportedly forecast that the AI sector could produce $10–12 trillion in revenues over the next five to ten years — a leap she described as “almost from zero.” Those are bold numbers, and Wood framed them as measurable economic force, not merely hype.

Evidence and industry alignment

Wood pointed to rising revenue at leading AI firms as early proof. It has been reported that Anthropic’s annualised revenue reached $19 billion and that OpenAI’s annualised revenue rose from $20 billion to $25 billion. She also cited Nvidia (英伟达) CEO Jensen Huang’s bullish hardware outlook; it has been reported that Huang expects cumulative sales to reach at least $1 trillion by 2027, which would fuel model training and deployment at scale. Together, software monetisation and exploding chip demand form the industry-side corroboration of Wood’s narrative.

Why it matters — and the caveats

If Wood’s projections materialise, the macro impact would be profound: higher productivity, faster GDP growth, and new revenue streams across sectors. But many hurdles remain. Will hardware supply chains scale fast enough amid US-China tensions and export controls on advanced semiconductors? Can business adoption and regulation keep pace with capability growth? Reportedly, ARK’s conviction persists despite recent fund performance pressure, yet market risks are real. This is a story of accelerating economics and geopolitics — not a guaranteed investment thesis — and readers should treat the forecasts with caution.