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There’s no single villain in this tale, no dramatic collapse. Chewy has, in recent years, built a respectable edifice. They’ve grown, expanded, even dared to venture beyond the confines of the American consumer. A clinic here, a new product there. But the markets don’t reward mere competence. They crave spectacle, a feverish upward climb. And when that climb pauses, the vultures circle. Perhaps investors, flush with the spoils of other ventures, simply grew bored. A temporary disinterest, not a judgment of character.

Valuations in the AI infrastructure space have, shall we say, experienced a period of adjustment. A polite way of saying “come down a bit.” But Huang’s message remains stubbornly optimistic. AI isn’t going anywhere. It’s like a particularly persistent houseguest. And three companies, in particular, seem poised to benefit. Nvidia, naturally, is the obvious beneficiary. But Dell Technologies and Amazon also received a mention during Huang’s keynote. Let’s unpack that, shall we? (Unpacking is a metaphor, of course. We’re not actually dismantling anything. Though, given the complexity of modern finance, perhaps we should be.)

This sudden burst of enthusiasm, it appears, is linked to the rather unsettling business of global affairs. It seems the notion that heightened geopolitical tension will increase demand for intelligence tools – Palantir’s particular forte – is tickling the fancy of certain fund managers. A dash of the old ‘war is good for business’ philosophy, if you will. And, indeed, the company’s business is scaling up rather impressively, driven by a keen demand for its artificial intelligence platform. But, as my Aunt Agatha used to say about eligible bachelors, just because something is growing rapidly doesn’t automatically make it a sound investment. One must consider the price, you see. Even the swiftest of thoroughbreds can be overpriced.

Let’s start with Rivian. They’re building cars, which is good, but they’re also partnering with Uber for self-driving taxis. Self-driving! As if that’s going to solve anything. It’s just adding another layer of complication. And the Volkswagen deal? A cash cushion? It feels… paternalistic. Like Volkswagen is saying, “Here, have some money. Don’t mess it up.” It’s insulting, frankly. They’re not profitable yet, relying on engineering services… it’s a house of cards. They need the R2 to land, and that’s a big ‘if’. A mid-size SUV? Groundbreaking. Truly.

They speak of a crisis averted. A cooling of tensions. But the Strait remains a clenched fist, and the whispers from that region are rarely truthful. Uncertainty clings like smoke. The ‘fear gauge,’ they call it – a clever name for measuring the trembling of those who have something to lose. It’s jumped by two-thirds this year. A clear signal, if anyone bothers to listen, that the game is rigged, and the house always wins.

By the closing bell, Camping World’s stock had ascended by over thirteen percent. A remarkable feat, considering the world continues to spin, and the inherent absurdity of human endeavor remains undiminished.

The prevailing models, those lauded as ‘intelligent,’ are, in essence, elaborate automatons. They respond to stimuli, mirroring input with a pre-ordained output. A sophisticated echo, if you will. Agentic AI, however, proposes a departure. It suggests a system capable of independent action, of navigating the digital world not as a passive reflector, but as an active explorer. A disturbing notion, perhaps, for those who prefer the comfort of predictable systems.

Recent developments, however, suggest that this future is not guaranteed. The National Highway Traffic Safety Administration (NHTSA) has escalated its investigation into Tesla’s “Full Self-Driving” (FSD) software, now active in over 3.2 million vehicles. This is not a mere technical inquiry; it is a scrutiny of a system upon which a substantial portion of the company’s market capitalization depends. The initial evaluation, begun in October 2024 with 2.4 million vehicles, has expanded, fueled by reports of the system’s inability to reliably detect obstacles, particularly in conditions of poor visibility. The NHTSA’s findings, detailing instances where the software “lost track” of vehicles ahead, are not encouraging.