Deep Dive
Kevin Warsh's Fed Overhaul and Government Data Problems
Cathie Wood opens by celebrating Kevin Warsh's appointment to lead five Fed task forces aimed at overhauling monetary policy. The first task force tackles Fed communications—Warsh believes the constant chatter from Fed governors is unnecessary market-moving noise. The second focuses on the Fed's $6.7 trillion balance sheet and potential quantitative tightening. The third, data sources, is perhaps most crucial: Warsh plans to cross-check government statistics against private sector data and integrate more real-time sources into Fed research. Wood emphasizes she's seen how distorted government employment, inflation, and other macro data have become. The fourth task force addresses productivity and jobs during the technology transformation, acknowledging accelerating productivity that government statistics are missing. Wood projects productivity will rise from today's 2.9% into the 5-6% range within five years. The fifth task force reviews the Fed's inflation framework itself. Wood believes Warsh suspects inflation metrics are badly skewed and is examining alternatives like Trueflation.
The Employment Report Paradox: Weak Data or Structural Shift?
The July jobs report presents a puzzle. Household employment fell roughly 500,000 while non-farm payroll employment grew only 57,000—about half what economists expected. Wood notes this divergence rarely occurs outside recessions, yet she doesn't believe we're in one. Instead, she argues the disconnect reflects two dynamics the government isn't capturing: first, companies are relying more on AI and automation, so they're hiring fewer people per unit of output; second, new business formation is surging as entrepreneurs launch AI-powered startups solo. The labor force also dropped sharply, with puzzling concentration among women aged 24-35, suggesting either data quality issues or structural changes like delayed childbearing. Wood emphasizes that Kevin Warsh needs to modernize how the government collects and interprets employment data. She points to a Ramp economics study finding that aggressive AI adopters actually hired 10% more people over two years than non-adopters—a finding her own firm validates. ARK just hired three engineers, something most firms their size wouldn't do, because AI productivity finally justifies the expense. She recommends job seekers start their own companies using AI as their only tool.
Inflation: Government Numbers vs. Real-Time Markets
Wood presents a stark inflation narrative split. Official CPI shows headline inflation at 4.2% and core at 2.9%. But Trueflation, measuring tens of thousands of items in real time every day since 2010, reports headline inflation at just 1.75% and core in the low 1%—less than half the government's numbers. Wood believes this gap explains why the yield curve is flattening despite recent Fed tightening: the long end is pricing in the deflationary technology effects that Trueflation is already capturing. She notes money growth has reaccelerated to 5.5% after 18 months negative, but disagrees with economists who view this as inflationary. Instead, she argues the yield curve's behavior—flattening rather than steepening after COVID, inverted during the Industrial Revolution—signals the market is pricing deflation from technology. Oil prices year-over-year are in the 50s and likely falling further as transportation electrifies. Commodity prices are mixed and more likely signaling demand for production than broad inflation. The divergence between core PPI and core CPI suggests companies are using AI and automation to preserve margins rather than pass through cost increases, further supporting the deflation thesis.
Consumer Pain, Housing Affordability, and Why Spending Persists
Despite weak employment data, consumers remain deeply pessimistic. Michigan consumer sentiment is far from the Kalshi prediction market's 65 threshold. The saving rate has dropped below 3.2% as families dig into savings to afford food and energy, a major election-year issue. Auto delinquency rates hit all-time highs for subprime and are approaching peaks for the overall market. But here's the twist: unlike 2008, auto delinquencies are rising faster than credit card delinquencies. Consumers are letting cars get repossessed because Uber and Lyft are ubiquitous, then using tax refunds and falling gas prices to pay down credit cards instead. Housing affordability is similarly grim. Existing home sales are stalled because homeowners face mortgages at double their current rate if they move. New home prices are falling modestly but not enough—builders aren't willing to cut hard. Mortgage predictions markets don't expect fixed rates below 5.75%, yet rates remain well above that and trending up. Yet despite all this consumer misery reflected in sentiment, actual consumption spending remains steady and non-recessionary. Wood attributes this to disproportionately higher income households still spending. She hints that if productivity gains from AI and technology compress prices enough, long-term rates could fall—as happened during the Industrial Revolution—finally unlocking housing affordability.
Manufacturing Revival and AI Capital Spending Breaking Out
Manufacturing is gathering momentum and appears to be moving up nicely, though Wood notes some of the strength may reflect inventory building ahead of tariff uncertainty or the Iran war. The more structural story is AI capital spending, which has broken out of a 40-year pattern where capital spending peaked at roughly the same level repeatedly. Now it's accelerating sharply, and Wood believes this is just the beginning of a revolution that will reshape every company and industry as AI converges with other technologies. Year-over-year real tech spending growth is very powerful and moving the economic needle. Token pricing—the cost per million tokens—has dropped 17%, suggesting operators are becoming more efficient with language model utilization. Wood doesn't see this derailing the AI cycle; instead, optimization helps it. The trade deficit widened as imports outpaced exports, which concerns Trump, but Wood notes the flip side: the capital surplus, with foreign direct investment flowing into the US attracted by new tax policies and full depreciation incentives. These flows fund exactly the kind of AI and manufacturing infrastructure growth she's tracking.