Cathie Wood says AI productivity boom could push long-term rates lower

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Key Highlights

ARK Invest CEO Cathie Wood argues that significant productivity gains from AI could allow companies to lower prices, thereby pushing long-term interest rates down. This perspective challenges Morgan Stanley's recent assertion that AI will likely keep U.S. rates elevated by driving economic growth without displacing workers. The Federal Reserve and IMF have acknowledged AI's potential impact but emphasize that inflationary pressures and productivity benefits may take time to materialize.

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Cathie Wood, CEO of ARK Invest, said artificial intelligence-driven productivity could push long-term interest rates lower, drawing parallels with the Industrial Revolution as companies pass efficiency gains on to consumers through lower prices. In a video posted on X, Wood said AI is beginning to influence the broader economy, making productivity growth an increasingly important driver of inflation and interest rates. “If productivity growth was so strong that companies were able to pass along some of the efficiency gains into lower prices… I wouldn’t be surprised to see long rates coming down,” Wood said.

Wood compared the potential impact of AI with the Industrial Revolution, noting that long-term interest rates trended lower over that period despite repeated boom-and-bust cycles and before the creation of the Federal Reserve. She said the current AI wave could follow a similar path if productivity gains become widespread enough to offset inflationary pressures across the broader economy.

Wood’s comments contrast with a recent outlook from Morgan Stanley. The bank said AI could keep U.S. interest rates above post-2008 financial crisis levels if the technology boosts productivity without triggering widespread job losses. Morgan Stanley’s baseline assumes AI spreads through the economy roughly twice as fast as the internet, though it would still take about a decade or more to fully reshape production. The firm’s baseline also does not assume widespread labor market disruption, with Chief U.S. Economist Michael Gapen saying AI is expected to diffuse gradually enough for the U.S. economy to rebalance workers without large-scale layoffs.

Divergent Views on Inflation

The Federal Reserve has said AI-related demand was contributing to inflationary pressures and any productivity gains from the technology would likely take time to materialize. The International Monetary Fund similarly said AI was supporting the global economy, although its baseline forecasts do not yet assume productivity gains from the technology. Robert Feldman, Senior Advisor at Morgan Stanley MUFG Securities, noted that Japan faces a different challenge, with AI viewed primarily as a way to ease persistent labor shortages rather than replace workers.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How will the Federal Reserve adjust its monetary policy if AI-driven productivity gains lead to a sustained decline in inflation?

What sectors are most likely to see immediate price reductions due to AI-driven efficiency gains?

How might the timeline for AI's economic impact differ between developed and emerging markets?

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Zandi says June jobs report was weaker than it looked

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Reviewed by
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Key Highlights

Economists Mark Zandi and Laura Ullrich analyzed the June jobs report, which showed 57,000 jobs added against an estimate of 100,000. Zandi argued the data was weaker than headline figures suggested, citing falling labor force participation and a "vicious-cycle measure" unemployment rate over 5%. Ullrich attributed the participation drop to a shrinking supply of workers rather than weak demand, while market analysts like Cathie Wood questioned the reliability of government statistics.

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Economist Mark Zandi argued that the June employment report painted an overly optimistic picture of the U.S. labor market, stating that several underlying indicators point to a much weaker economy than the headline figures suggest. The report showed the U.S. economy added 57,000 jobs in June, falling short of the 100,000 median estimate projected by FactSet and decelerating from May’s reading of 129,000. While the unemployment rate ticked lower to 4.2%, Zandi noted this decline coincided with a sharp drop in labor force participation, masking the true fragility of the employment landscape.

Key Data at a Glance

The following table summarizes the June Nonfarm Payrolls figures:

Metric: Details
Actual (Jun): 57K
Estimate: 100K
Previous: 129K
Unemployment Rate: 4.2%
Avg. Hourly Earnings (MoM): 0.3%
Avg. Hourly Earnings (YoY): 3.5%

Zandi Flags Weakness

In a series of posts on X on July 12, 2026, Zandi said commentary surrounding the June jobs report was "much too dismissive of how weak the numbers looked." He noted that payroll employment posted only a modest gain, while prior months’ job gains were revised downward. Zandi highlighted that most of the hiring came from the healthcare sector rather than being broadly distributed across the economy. He also pointed to weakness in the household survey, saying employment "fell sharply again, as it has all year."

Zandi argued that the decline in the unemployment rate was misleading because labor force participation is "in free-fall," with declines across most demographic groups, particularly among workers under 35. He cited his "vicious-cycle measure," which adjusts unemployment for trend labor force participation, noting it rose above 5% in June. "Without the outsize decline in participation, unemployment would be over 5%," Zandi wrote.

Supply vs. Demand Debate

Laura Ullrich, director of economics at Indeed Hiring Lab and a former Richmond Fed economist, offered a different perspective on the decline in labor force participation, which fell to 61.5%—the lowest reading outside the pandemic since 1976. Ullrich argued this should not be viewed simply as workers giving up on finding jobs. Instead, she suggested the current environment indicates "there is demand, but there's not enough supply." She pointed to research projecting the U.S. labor force would begin shrinking in 2026 due to accelerating Baby Boomer retirements and lower immigration.

Market and Analyst Reaction

ARK Invest CEO Cathie Wood described the report as "weird" and stated that "government statistics have become very distorted," noting the contrast between the establishment survey and the household survey. Jamie Cox, Managing Partner for Harris Financial Group, argued the data is "misleading and should be disregarded." Despite the weak data, Northlight Asset Management’s Chris Zaccarelli suggested a silver lining, noting that slowing job growth could force hawkish Fed governors to pause rapid interest rate hikes. The cross-asset move was textbook risk-on, with S&P 500 futures rising 0.39% and the rate-sensitive 2-year Treasury yield falling to 4.121%.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How will the Federal Reserve interpret the divergence between the establishment and household surveys when setting future interest rate policy?

Will the concentration of hiring in the healthcare sector continue to support overall job growth if other industries remain stagnant?

To what extent could accelerating Baby Boomer retirements structurally lower the labor force participation rate over the next decade?

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