ITK Talks with Cathie Wood's Team: Jobs Boom Yet Stocks Plunge — What Is the Market Really Afraid Of?
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US payrolls surged yet stocks sold off hard — Cathie Wood's team argues the real problem is the market misreading new Fed Chair Kevin Warsh's policy logic, and once that clears, both inflation and asset pricing face a major reset.
Strong jobs, crashing stocks — what is the market actually afraid of?
Cathie Wood's team says the sell-off stems from one core mistake: investors misread new Fed Chair Kevin Warsh's policy stance.
This means → the market treats Warsh as a traditional hawk — stronger economy, more rate hikes — but Warsh is a committed supply-sider who believes productivity-driven growth does not cause inflation.
In plain terms = the market is panicking over something unlikely: hawkish officials hiking blindly before Warsh speaks publicly on June 17. Once he does, the fear likely fades.
AI is lifting productivity — why could inflation end up far lower than expected?
Data show US unit labor costs have fallen to roughly 0.5%, meaning the surge in productivity has almost entirely absorbed wage growth.
This means → companies can push profit margins to record highs without passing costs to consumers — wages up, prices flat, nearly impossible under old models.
The team argues that once commodity restocking demand is spent and Iranian tensions ease — pushing oil off its peak — productivity gains on top could drive inflation well below forecasts this year, possibly even turning negative.
Countries are dumping US Treasuries — could this trigger an emerging-market crisis?
The latest monthly data show Japan sold $76 billion in US Treasuries; Turkey, China, and India are also cutting holdings.
Turkey has even started selling gold for dollars to intervene in currency markets and prop up the lira — this reflects extreme pressure on emerging-market exchange rates.
In plain terms = countries are liquidating assets for dollars, injecting short-term liquidity — but the pattern closely mirrors the run-up to the 1980s–1990s Asian financial crises, and systemic risk is building.
Is a long-term labor shortage the real structural story?
Baby boomers are retiring faster in the AI era, and tighter immigration compounds the squeeze — the US faces chronic labor shortages, not unemployment.
The unemployment rate for 16-to-24-year-olds sits at 9.4%, yet AI is lowering the barrier to entrepreneurship — solo creators and AI-native startups will compete with big firms for talent.
This means → large companies will be forced to bid up wages, and rising labor costs will push them to invest more in productivity hardware — automation, AI infrastructure — creating a self-reinforcing cycle.
Is tech capex a bubble replay, or is it nowhere near the top?
Cathie Wood's team flatly rejects the idea that current AI spending echoes the 2000 dot-com bubble. The key difference: today's AI investments deliver exceptionally high returns.
Their research shows SpaceX spent roughly $30 billion building AI infrastructure, while Anthropic's annual lease payments alone run $15 billion — in plain terms = half the investment is recouped in a single year.
During the Industrial Revolution, capital expenditure reached 5–6% of GDP; current tech spending sits at roughly 2%. This signals that AI infrastructure buildout still has vast room to double.
Content is for reference only, not financial advice.