"Mr. Hegseth’s intervention is a slate of 22 nominees to be one-star admirals that bears little resemblance to the broader force these officers will help lead...[and] appear to violate the rules governing a promotion system supposed to be merit-based."
https://t.co/O0q9tnSDKw
Celebrating the U.S. 250th anniversary - the rise of tax dodging is one of the most unpatriotic things possible. "U.S. companies skirted at least $40 billion in taxes since the beginning of 2025" https://t.co/c46yZjUEIt
“We want to make the case to current and future leaders that choosing a place — and choosing to invest in it — is fulfilling and still matters deeply.”
https://t.co/9YsuusdRGa
BREAKING: Anthropic just released a study showing which jobs its own AI is already replacing—right now.
And the workers most at risk aren’t who anyone expected: they’re older, more educated, and higher paid. They earn 47% more than average—and they’re nearly four times more likely to hold a graduate degree than workers AI isn’t touching.
The case is simple. Anthropic built a new metric called “observed exposure”—not what AI might do in theory, but what it’s actually doing today on the job—measured across millions of real Claude conversations from enterprise users.
For computer and math workers, AI could theoretically handle 94% of their tasks. Today, it’s doing 33%. In office and administrative roles, the ceiling is 90%, and current usage is 40%. The gap between what AI can do and what it’s actually doing is massive—and the researchers don’t mince words about what happens next: as capability improves and adoption spreads, the red area expands until it swallows the blue.
What makes the paper unsettling is the demographic twist. The most AI-exposed workers earn 47% more, on average, than the least exposed. They’re more likely to be women. More likely to be college educated. This isn’t a story about warehouse floors or long-haul routes. It’s about lawyers, financial analysts, market researchers, and software developers—the very people who were told their education would protect them.
Computer programmers show the highest measured AI exposure: 74.5%. Customer service reps: 70.1%. Data entry: 67.1%. Medical records: 66.7%. Marketing and market research: 64.8%. These aren’t forecasts. They’re measurements of work already being done on AI platforms today.
Then there’s the pipeline problem—still not getting nearly enough attention.
Anthropic researchers found a 14% drop in the job‑finding rate for 22–25‑year‑olds in highly exposed occupations since ChatGPT launched. No comparable effect for workers over 25. Entry-level roles were never “just jobs.” They were the apprenticeship layer: where junior analysts became senior analysts, where junior lawyers learned how arguments actually
PDF: https://t.co/tnk5Ri7CoP
“In an economy where physical work, the manufacture and repair of real things, is as critical as ever, stability and credible paths for advancement are not luxuries; they are prerequisites for recruitment and retention.” https://t.co/x54HW0FWcp
“Over the past year, demand for healthcare workers has quietly propped up the labor market as other sectors reined in hiring or even shed jobs.” https://t.co/sQHNFgDw5e
“The Census Bureau estimates that manufacturing construction spending, which surged with Biden-era funding for chips and renewable energy, fell in each of Trump’s first nine months in office.” https://t.co/Jmgkh3vKuV
“In 1991, the typical first-time home buyerwas 28 years old. This year, that buyer was 40, according to the National Association of Realtors.” https://t.co/PYnjPyoG0x via @NYTimes
“Americans may disagree on many things, but they still distinguish between necessary force and needless killing.” -Sen Jeff Flake (R)
https://t.co/aqDntwthMc
“How can Mr Trump be so tough on drugs as to authorise the killing of suspected drug-runners at sea without producing any evidence, yet also so lenient as to absolve Mr Hernández, when America’s justice system amassed so much evidence against him?” https://t.co/NQafBNH1Yp
The median family income in the U.S. has gone from $10K in 1971 to $106k today, an increase of 10x.
However, the median cost of a house has gone from $25K to $445k, an increase of 17x.
And the median cost of a car has gone from $3.6K to $50k, an increase of 14x.
The median cost of college has gone from $2.9k a year to $45k, an increase of 16x.
And the average cost of healthcare per person has gone from $350 to $14.6k, an increase of 42x.
The average person is worse off today than in 1971.
Interesting: “only one-fifth of the tariff costs are actually showing up in consumer prices…they’re being paid, to a remarkable degree, by foreign manufacturers enjoying excessive profits and foreign governments pursuing strategic trade objectives.”
https://t.co/kg0iKqU0hU
“In a 2022 study of adults, happiness and satisfaction increased across every decade of adulthood from the late teens to the 70s+. So did every other measure…including close relationships, financial stability, meaning and purpose, and mental health.” https://t.co/1ksPrlNe8f
“China has laid solar panels across an area the size of Chicago…The Talatan Solar Park is part of China’s push to double its solar and wind generation capacity over the coming decade.”
https://t.co/8PLsvyYGQT
“Drawn by the company’s mission, they also reap the benefits of onshore services: Time zones line up, data is easier to protect, and site visits don’t require overnight flights.” https://t.co/AJeHYKGOeo