In partnership with
News of the day
1. New AI displacement risk measure combines theoretical capability with real-world usage. Highly exposed occupations show slower projected growth, with affected workers often older, female, more educated, and higher-paid. No systematic unemployment increase observed yet. → Read more
2. Meta's AI smart glasses are subject to a new lawsuit alleging privacy violations and false advertising after workers reviewed sensitive user footage. → Read more
3. Anthropic's Claude AI is rapidly expanding, gaining over 1 million new users daily. This growth parallels significant revenue increases for major AI firms like OpenAI. → Read more
4. OpenAI launches ChatGPT for Excel beta, using GPT-5.4 for natural language spreadsheet creation, editing, and analysis with finance-optimized reasoning. → Read more
Our take
Hi Dotikers!
Yesterday, we were looking at OpenAI's relentless model release cadence, a well-oiled machine that keeps benchmarks gleaming and the media cycle spinning. Today, we shift gears entirely with Anthropic, which has published something less flashy on the surface, but potentially far more useful: a rigorous study on the real impact of AI on the labor market.
The study, authored by economists Maxim Massenkoff and Peter McCrory, introduces a new indicator called "observed exposure", a measure that combines the theoretical capabilities of language models with real-world Claude usage data. The premise is straightforward and intellectually honest: just because an LLM can theoretically perform a task does not mean it actually does so inside companies. And the finding is clear: AI is only tapping a fraction of its theoretical potential. Claude, for example, covers just 33% of tasks in computer and math occupations, the very professions considered most exposed.
What makes this study compelling is precisely what it does not find. No significant rise in unemployment among the most exposed professions since ChatGPT launched in late 2022. No visible wave of job destruction in the data. There is, however, a faint but statistically suggestive signal: workers aged 22 to 25 are finding it harder to break into exposed occupations since 2024, suggesting it is hiring that is slowing, not layoffs accelerating.
And that is where the irony of the moment lands. While CEOs at Ford, Goldman Sachs, and Salesforce compete to forecast the most dramatic white-collar bloodbath, the data tells a much quieter story. We are nowhere near the catastrophe scenario. But we are equally far from the promise of universal productivity gains.
Dario Amodei himself declared in May 2025 that AI could eliminate half of all entry-level white-collar jobs within five years. It is his own research team that has now published a study tempering, at the very least, the scale and speed of that disruption. The data deserves credit, even when it pushes back on the boss.
Alex.
The Year-End Moves No One’s Watching
Markets don’t wait — and year-end waits even less.
In the final stretch, money rotates, funds window-dress, tax-loss selling meets bottom-fishing, and “Santa Rally” chatter turns into real tape. Most people notice after the move.
Elite Trade Club is your morning shortcut: a curated selection of the setups that still matter this year — the headlines that move stocks, catalysts on deck, and where smart money is positioning before New Year’s. One read. Five minutes. Actionable clarity.
If you want to start 2026 from a stronger spot, finish 2025 prepared. Join 200K+ traders who open our premarket briefing, place their plan, and let the open come to them.
By joining, you’ll receive Elite Trade Club emails and select partner insights. See Privacy Policy.
Meme of the day
