Cathie Wood argued that the scary August 2026 employment print looks weaker on the surface than it really is because labor-force participation is falling, productivity is improving, and AI is compressing the cost of innovation. She highlighted a jobs miss of -23,000 versus +80,000 expected, downward revisions of 103,000 over the prior three months, and soft wage data, but said prime-age participation rose and unit labor costs are near zero as productivity approaches 3%. The video then shifted to Wood’s broader thesis: AI is making it easier for workers to create value, start businesses, and move up inside companies, with inference costs reportedly collapsing 99.99% per year. Her view is ultimately bullish on stocks and especially on the entrepreneurial opportunities created by AI, even though starting a business still carries meaningful risk.
Cathie Wood said the latest employment report looked scary at first glance, but Ark is less worried because a lot of changes are taking place in the labor market.
The nonfarm payroll number came in at -23,000 versus the consensus expectation of +80,000, and the prior three months were revised down by 103,000.
Wood said the three-month moving average for employment increased only 20,000 per month, which she called very slow.
She said the participation rate fell sharply, with the biggest drop coming from boomers retiring and the second biggest from the 16-to-24 age group.
Wood said prime-age participation, ages 25 to 55, increased, which she viewed as good news.
Average hourly earnings rose only 0.1% versus a 0.3% expectation, and year-over-year wage growth slowed from 3.4% to 3.2%.
Ark believes productivity growth is approaching 3%, which Wood said means unit labor costs are very well behaved and almost zero year over year.
Wood said as productivity accelerates, some of the gains will eventually flow to workers, so wage growth could re-accelerate over time.
She suggested boomers over 55 may be leaving the labor force faster than expected, possibly because AI can do many of their jobs and because they want to retire.
Wood said retirees should hopefully have been well diversified, with a good slug of stocks, because stocks are approaching all-time highs.
Brett Winton, Ark’s chief futurist, recently calculated that inference costs are dropping 99.99% per year, which Wood said shows the cost of innovation is collapsing.
Wood said people who do not need frontier models can already use AI models to build businesses on their own.
She said job seekers should keep looking for work, but in the meantime identify a frustration or problem and solve it using AI only; she called this “vibe coding.”
Wood said starting a business with AI can help job seekers move to the top of the ranks by showing initiative and becoming expert at AI, and she expects an entrepreneurial explosion.
She said the unemployment rate fell even though jobs declined because many people are dropping out of the labor force, and she thinks younger and mid-career workers have a chance to be promoted faster than they otherwise would have been.
Wood said if you are young and already native to AI, you should make your boss and other people look brilliant so you can move through the organization faster; she also said founding a business has only about a 10% chance of success, though AI may improve that odds profile.