@FinanceYF5: 1/ You think you're using AI, but you're actually being filtered out by AI. Among Claude users in the U.S., 79.8% come from families with annual incomes above $100,000. This isn't a story about the rich—it's the silent dividing line falling in the spring of 2026.

1/🧭 You think you’re using AI, but in reality, you’re being filtered out by it.

79.8% of U.S. Claude users come from households earning over $100,000 a year.

This isn’t a story about the rich—it’s the silent dividing line that falls in the spring of 2026. 👇 https://t.co/3p0d7lXpxG

1/ You think you’re using AI, but in reality, you’re being filtered out by it.

79.8% of U.S. Claude users come from households earning over $100,000 a year.

This isn’t a story about the rich—it’s the silent dividing line that falls in the spring of 2026.

2/ The dividing line is already drawn, but no one sent out the notice.

Among the top five flagship models, none have a high-income share below 50%, while only about half of U.S. adults fall into that bracket.

The lower end is even more striking: only 0.4% of Claude users earn under $50,000 a year, yet 24% of U.S. adults are in that bracket.

3/ What offline users look like

55% of Meta AI users encounter AI passively in social apps; only 21% actively open the app to ask questions.

They use it one day a week, complete 1–2 quick tasks per day, rely on the weakest free model, and think, “Hey, I’m using AI too.”

4/ The real divide isn’t about using AI or not—it’s about which model you use.

Anthropic internal experiment: when Opus is used as the seller, it earns an extra $2.68 per item; when used as the buyer, it saves $2.45 per item.

The scariest line: the disadvantaged party never even realizes they’re losing out.

5/ Model capability is the means of production for this era.

Every decision gets eaten away a little by model gaps—thousands of times a year. The gap is compound, not linear.

In the 19th century, it was who had a steam engine. In the 20th, who had a computer. In 2026, it’s who turned on Opus.

6/ The middle-class illusion: polishing your resume with the free version doesn’t count as getting on board.

Among ChatGPT users earning over $100K, only 4% pay for it, 3% have employer reimbursement, and the other 90% are on the free tier.

He bought a yearly gym membership but barely went—he didn’t lose the membership fee; he lost an entire era of the AI dividend.

7/ People above the dividing line integrate AI as infrastructure.

47 daily sessions on average: processing PDFs, running SQL, reviewing architecture, drafting investor emails, and debugging their kid’s math Olympiad problems.

The difference isn’t income, it’s initiative. An engineer earning $90K a year pays out of pocket for Claude Max, surpassing a hedge fund trader earning $500K who only uses the free version.

8/ The dividing line is so low that anyone can cross it.

Open Claude, build a real workflow, stick with it for three months—that’s the entire barrier to entry.

It’s absurdly low—but most people will spend their lives pretending it doesn’t exist.

In-depth analysis from the WeChat public account 【嘉妍Kea】

The AI Era’s Great Divide: You think you’re using AI, but you’re actually being filtered out by it https://mp.weixin.qq.com/s/eMyNv9Sc6uLzC5E1CjLWYA…

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https://x.com/FinanceYF5/status/2059886472443142593…

That’s all.

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Someone used Meta Ray-Ban smart glasses to gamify running:

He built a web app, imported his running history from Strava, and added mechanics like coins and sprint points.

Now he can race in real time against his own “ghost runner”—this visual motivation is far more effective than a regular sports watch.