Investors, those ever-hopeful creatures, have long debated Bitcoin’s true nature. Was it a genuine store of value, a digital equivalent to the weighty solidity of gold? Or merely a particularly elaborate bubble, destined to burst at the slightest provocation? For a time, many proclaimed it the latter, dismissing it as a plaything for the reckless and the naive. But now, a curious stirring. Could it be, dare we whisper it, a safe haven after all?
The registrations of electric vehicles, a crude but telling measure of desire, plummeted in December – a staggering decline of nearly half. It was a silence, a momentary cessation in the hum of progress, the first annual contraction in a decade. The currents of capital, fickle and demanding, had begun to cool, chilled by the weight of interest rates, the cost of aspiration, and the slow fading of incentives. The promise of effortless motion, it seemed, had encountered the stubborn resistance of reality.
The problem, apparently, is a trifecta of woes: losing ground in cloud computing, tariffs messing with the e-commerce side of things, and a rather… enthusiastic spending spree on AI. Two hundred billion dollars, people. Two. Hundred. Billion. It’s enough to make even me raise an eyebrow, and I’ve seen things. The concern? They’re already throwing money at AI, losing market share, and then deciding, “Oh, let’s throw more money at it!” It’s the financial equivalent of shouting into the void. But here’s the thing…
The insatiable appetite of giants—Microsoft, Amazon, Alphabet, Meta Platforms—for GPU clusters is, of course, the primary catalyst. They are, these behemoths, constructing digital cathedrals, and every cathedral requires not just stained glass, but a prodigious quantity of silicon. The projected $600 billion in AI capital expenditure this year is a sum so vast it threatens to warp the very fabric of economic reality. Micron, quite cleverly, finds itself positioned as a crucial purveyor of the high-bandwidth memory (HBM) essential to these glittering, power-hungry altars of artificial intelligence.
Zoom Communications (ZM 1.54%), a purveyor of digital meeting spaces, recently experienced this phenomenon. The fourth-quarter earnings results, you see, weren’t quite as spectacularly upward-trending as some analysts had hoped. Non-GAAP earnings per share (EPS) landed at $1.44, a fraction below the anticipated $1.49. (A difference, in the grand scheme of cosmological events, roughly equivalent to the width of a single atom, but apparently significant to those who track such things.) Furthermore, the fiscal 2027 outlook was, shall we say, modestly less optimistic than expected – off by about 4.5%.
They’re all saying it’s about “growth” or “expenses.” As if companies are supposed to just grow forever. It’s exhausting. Microsoft is spending money on…wait for it…artificial intelligence. AI! Like that’s some radical new concept. They’re building data centers. Of course they are. Everyone’s building data centers. It’s the new thing. And now they’re being penalized for it? It’s like being penalized for ordering a sandwich when you’re hungry. What did they expect?
One is tempted to draw sweeping conclusions, to declare this time truly different. But history, that vast and often ignored teacher, whispers a different story. It suggests that such declarations are rarely accurate, that the world has weathered far worse, and that a return to something resembling normalcy is, if not guaranteed, then at least probable.
The star of this modest drama, the heavyweight champion holding up the whole affair, is Broadcom (AVGO). Now, don’t let the paltry 0.7% dividend yield fool you. Yield alone is a siren song for the financially naive. It’s the potential, the underlying engine, that truly matters. And Broadcom, it seems, has traded its quiet existence for a rather boisterous affair with artificial intelligence. A most curious transformation, wouldn’t you agree?
Carvana, for those unfamiliar, is the company that decided buying a car should be less like visiting a dealership and more like ordering a pizza. They’ve got those vending machine-like towers where your new car is dispensed, which is, admittedly, a bit of a spectacle. It’s all very modern and efficient, and it certainly cuts down on the hard-sell tactics. They began by selling used cars online, but now, they’re venturing into the world of new car dealerships. A curious move, you might think, for a company built on disruption.
The very notion of superposition—the ability of a quantum bit, or qubit, to exist in multiple states simultaneously—is, in its way, a marvel. It suggests a capacity for parallel processing that dwarfs the capabilities of our familiar binary systems. Yet, it is a capacity hampered, at present, by a frustrating fragility. The error rates, even in the most meticulously constructed devices, remain stubbornly high, rendering practical application a distant, almost ethereal, goal. And within this field, Rigetti Computing, a company striving to tame these elusive forces, presents a case study in ambition and, one might venture, a certain degree of imprudence.