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6 directional calls with a price to read (5 bullish, 1 bearish). 1 week later, with the call in 4 of 6; 1 month later, with the call in 0 of 4; 3 months later, with the call in 1 of 2. Prices as of 2026-09-11. Three fixed windows, the same for every call, always shown together: one week, one month, three months after the first close that followed the tape. What the market did, not a score: a call can have a different horizon, and a view with no number or deadline is never graded here.
Nasdaq from 2026-06-15 to 2026-09-10 · ▲ bullish · ▼ bearish · dot = the close that day
Date
Market
Call
What was said
1 week
1 month
3 months
2026-08-14
from 26,645
Nasdaq
Bullish
If you put those numbers together, you're looking at a trillion dollars in AI spend just in the United States
I think the future of this is gonna be local models running on extraordinary desktop hardware. And if you have employees on this level of hardware running these models local, like I have started to do, they become 10 times more valuable than the employees not running it. I think Apple is my choice for the next year.
Jason Calacanis tells Sacks and Baker Anthropic's growth slows sharply in 2027 as corporate America adopts far cheaper open-source models: no way to $1T, maybe a triple to $300-400B.
I think anthropics growth rate is going to slow considerably next year. And it's been obviously on a terror. There's no way they get to a trillion in revenue next year. I think maybe they could, you know, triple get to three or 400 million.
Jason Calacanis guarantees to Baker that Zuckerberg/Meta will have the best open-source model within a year.
He's going to be the open source hero from America. He is going to have the best open source model in the next year. I guarantee it here on the online podcast.
Jason Calacanis tells Baker and Sacks US firms will spend 5-10% of employee salaries on AI tokens, implying roughly $1T (or at least $500B) of US AI spend, so there is no bubble.
If you put those numbers together, you're looking at a trillion dollars in AI spend just in the United States
Self-declared prediction: named eight/nine-figure customers defect to open-source models. EVENT: will.
And I think, and I'll make this prediction here, that you're going to see some of the major customers of Anthropic and major customers of OpenAI. I'm talking about the eight and nine figure customers, people spending 50 million, 100 million a year. They're leaving. They're going to be leaving because they don't trust those companies to not steal the application layer and to compete with them. 11 Labs, Figma, lovable. They're all going to leave and they're all going to take Kimmy.
'if we were to look at the tests that were created to define artificial general intelligence... we passed all of those. These were tests that were created 30 or 40 years ago. We need a new set of tests right now' @30:31; guest half-agrees: 'there are definitely places where we did achieve it' @31:03.
“I mean, these things, we're kind of there on AGI, don't you think? Like we've kind of achieved it. We just haven't deployed it.”
Jason cites Mark Gurman's report that the coming M7 Ultra could support 1.5TB RAM, letting Opus-class local models run on a Mac Studio, putting downward pressure on Claude/OpenAI and letting Apple 'run the table on AI.'
“I think Apple is a screaming buy right now. And that's not financial advice.”
Jason Calacanis tells All-In that the future is local models on powerful desktop hardware and Apple is his stock pick for the next year.
I think the future of this is gonna be local models running on extraordinary desktop hardware. And if you have employees on this level of hardware running these models local, like I have started to do, they become 10 times more valuable than the employees not running it. I think Apple is my choice for the next year.