The key idea here is that the average user has learned to measure AI by its monthly fee, while AI companies need to measure it by consumption. Those two ways of understanding the product are colliding. The practical implication is that companies and professionals will have to start routing tasks. Not everything should go
Now, the important change is this: starting July 20, 2026, Anthropic keeps Fable 5 included in the Max and Team Premium plans, but only up to 50% of the weekly limits. Pro and Team Standard users, on the other hand, will use it through usage credits. They receive a one-time credit of 100 dollars, and
Claude Fable 5 is changing access to powerful AI: Anthropic is drawing a new boundary between subscriptions, credits, and pay-as-you-go pricing.
the next image: the most innovative artificial intelligence company at the moment, valued at nearly a trillion dollars, had to call its main competitor and ask whether it would lend it computers. Not because it is incompetent. But because the race to build artificial general intelligence is co
Anthropic expected to multiply its usage tenfold this year. Instead, it multiplied it eightyfold. That exponential growth has a direct consequence: Claude, Anthropic's product, sometimes simply does not respond or limits queries. Not because of policy. Because of physics. There are not enough chips to serve all
The first is electricity consumption: a single large-scale data center may need between 100 and 1,000 megawatts, equivalent to the consumption of up to 800,000 households. And that translates into real increases in bills. In Virginia, Texas, and Georgia, residential rates are already showing increases of between 8 and 15 percent
Artificial intelligence data centers face their biggest obstacle yet: citizen protests in 125 cities have already blocked $130 billion in projects. Who pays the real cost of AI?
Anthropic, the company behind Claude, is negotiating to pay its rival Meta $10 billion just to rent chips. What does that say about the real business of AI?
If that's true, restrictions on chip exports to China aren't working as a technological brake in the way Washington expected. Or they're working as an involuntary accelerator of innovation. Which is a huge irony. And it's not the first time. The restrictions forced Chinese labs to squeeze every compute cycle, and the result is more efficient architectures than those developed by American labs when they had unlimited access to H100s. Although we also have to be honest: Moonshot raised between one and two billion dollars in 2026 and is valued at $31.5 billion. It's not a garage project performing magic with scarce resources.
Artificial intelligence no longer just sparks debate—it sparks real threats. Attacks targeting Sam Altman, infiltrations at Anthropic, and executive security spending that rose by as much as 150% reveal a crisis of legitimacy that no bodyguard can solve.
There’s one number that seems to me the most revealing of this entire story: according to recent polls, Americans who have a negative opinion of AI outnumber those with a positive opinion by four to one. AI is now less popular among the American public than immigration enforcement agencies
Moonshot AI’s Kimi K3 is the world’s largest open-source model: 2.8 trillion parameters, a 1-million-token context window, and performance comparable to Claude Opus at 40% lower cost per token. Is it the biggest leap in open-source AI or well-packaged hype?
Capital de Tokens