TL;DR
McKinsey estimates about 11 million US workers, roughly 7% of the workforce, may need to change occupations by 2035 because of AI and automation.
That isn't net job loss. The economy may create more jobs than AI removes.
The hard part is the switch itself, and it falls hardest on lower-wage workers.
How worried?: 🟡 Medium
TOP STORY
The 11 million who have to start over
A new McKinsey Global Institute report, covered by Bloomberg last week, puts a number on something many people already feel: AI won't just change jobs, it will push millions of people out of their current line of work entirely.
The headline figure is 11 million US workers needing to move into a different occupation over the next decade. That's easy to misread as "11 million jobs lost." It isn't. McKinsey's math is closer to a reshuffle. Automation could reduce demand by the equivalent of about 36 million jobs by 2035, while growth and new AI-related work could create demand for about 41 million. On paper, the economy comes out ahead.
The problem is that the jobs disappearing and the jobs appearing aren't the same jobs, and they aren't in the same places. Just like a cashier can't simply become a nurse, the 11 million are the people caught in that gap: their role is shrinking, and the open roles need vastly different skills.
That gap isn't shared evenly. Lower-income workers are nearly eight times more likely than high earners to need to switch occupations. And the report is candid about why many won't make the leap: people with little savings, caregiving duties, or no paid training may reasonably turn down a better long-term path because they can't afford the income dip it takes to get there.
OUR TAKE
This isn't mass unemployment, and the long-run picture may even be positive. But a transition this big, landing on the people least able to absorb it, is a real risk. Whether it goes well depends on retraining and support that mostly doesn't exist yet.
How worried?: 🟡 Medium
WHAT TO KNOW
Here are the key takeaways:
The pace roughly triples. Historically, about 215,000 Americans switch occupations each year. McKinsey projects about 770,000 a year.
Who's most exposed: office and administrative support, retail and sales, and transportation and logistics. Think customer service reps, cashiers, and warehouse workers.
Where jobs grow: healthcare, construction, and management. About 60% of growing jobs fall in the top two wage tiers, so the new jobs may pay better, if you can get there.
The range is wide. Depending on how fast AI spreads, the estimate runs from 6 million to 16 million workers. Treat "11 million" as a middle guess, not a prediction.
WHAT IF….?
Inside the Numbers: Are Superteams Killing the Playoff Race?
A new analytics deep dive shows that three “superteams” are dominating the win column, raising questions about competitive balance. The Gladiators, Thunderhawks, and Ballers have a combined record of 42–6, while half the league is below .500. Advanced stats reveal these teams are averaging 8 more assists and 10 more rebounds per game than the league average.
Fans and pundits alike are debating: Is parity dead? Or will an underdog squad shake things up come playoff time?
WATCH TO WATCH
The signal isn't a smarter AI model. It's companies quietly freezing hiring for entry-level office and support roles, and job postings in those categories falling while the jobs themselves still exist.
How worried?: 🟡 Medium (AI already causing hiring freezes for entry level employees in tech, finance, and creative fields.)
OTHER NEWS
Trump names national intelligence director Jay Clayton to lead a new federal AI task force (PBS News)
After summit with tech titans, Trump calls for ‘tremendous self-regulation’ by AI companies (NBC News)
While nearly half of U.S. consumers now report using AI, only 25% are engaged with it daily. (a16z’s The Top 100 Gen AI Consumer Apps — 7th Edition)
As of August 2026, only 4.5% of U.S. consumers had an active paid personal subscription to ChatGPT, Gemini, or Claude. (a16z’s The Top 100 Gen AI Consumer Apps — 7th Edition)
WHAT DO YOU THINK?
Will your job look meaningfully different by 2035?
Hit reply: are we too worried, or not worried enough? We read every response.