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Buffett, a creature of tangible assets, always saw the world in terms of what could be held, weighed, understood. He built his empire on the bedrock of predictability. Yet, even a mind so grounded could not entirely deflect the currents of change. He inadvertently allowed a considerable portion of Berkshire’s $313 billion to drift toward the shimmering horizon of AI—some $64 billion, now the responsibility of Abel. It is a strange confluence—the pragmatic hand of the past yielding to the spectral promise of the future.

The long view, of course, demands a patience few possess. Five years, they say, is the horizon for a considered investment. It is a comfortable span, long enough to witness a recovery, or a graceful acceptance of fate. It allows one to acquire holdings at a reasonable valuation, escaping the feverish bidding wars that accompany every new enthusiasm. And it provides a necessary distance from the daily tremors of the market, those minor earthquakes that unsettle the superficial investor. The truly patient man does not flinch at a temporary setback, knowing that the earth itself shifts imperceptibly over time.

But March the seventeenth brought a different air. The Securities and Exchange Commission, along with the Commodity Futures Trading Commission, issued a pronouncement – a mapping, if you will – of this burgeoning territory. Ethereum, XRP, Solana, Cardano, Chainlink, even the whimsical Dogecoin – all now placed, categorized, assessed. The major players, for the most part, designated as ‘digital commodities’. This is not merely a labeling exercise, however. It is a subtle shift in the light, a potential opening for a spring of renewed growth, though whether it will truly bloom remains to be seen.

And thus, the question arises, a query fit to provoke the musings of philosophers and the calculations of accountants alike: could a modest investment of ten thousand dollars in this high-flying pipeline concern transform one into a millionaire? A most diverting notion! One might almost suspect a touch of alchemy at play.

Alphabet, one observes, has insinuated itself into nearly every facet of modern existence. It is a sprawling empire, built not of brick and mortar, but of algorithms and data. To declare it the foremost artificer of artificial intelligence is almost…redundant. It is as if stating that water is, in fact, wet. But consider this: they dabble in large language models, those digital parrots mimicking human speech; they forge chips, the very brains of these mechanical marvels; they even attempt to pilot automobiles without human intervention, a venture fraught with the potential for spectacular, yet predictable, failure. And yet, they persist.

Tech dominates, naturally. Nearly 60% weighting. Which means if AI sneezes, the whole index catches a cold. It’s predictable, isn’t it? All this chasing of the shiny new thing. And yes, it usually delivers better returns than the S&P 500. But ‘usually’ is doing a lot of heavy lifting here, don’t you think?

Barely had the ink dried on that particular portent of doom, when Block – a fintech powerhouse, and a company that clearly hasn’t consulted any ancient oracles – announced layoffs affecting a rather alarming 40% of its staff. Coincidence? Possibly. Though, one does wonder if the algorithms responsible for workforce planning have developed a taste for human resources, metaphorically speaking, of course.

The foundation was cracking. And Wall Street, predictable as a rainy Tuesday, hadn’t noticed. Or, more likely, pretended not to. Denial is a powerful anesthetic.

Demand has gone bananas. Prices? Don’t even ask. They’ve nearly tripled in the last year, according to those folks at The Wall Street Journal. Triple! That’s enough to make a bookkeeper faint. And Micron stock? It’s jumped a cool 350% to $423 a share. I mean, honestly, you could retire on that! (Disclaimer: Please don’t retire solely based on my predictions. I also once predicted my Aunt Mildred would win the polka competition.)

To judge Palantir solely on the basis of conventional metrics is to misunderstand its nature. It is not merely a software company; it is a cartographer of the invisible, a weaver of connections between disparate data points. While others offer tools for managing information, Palantir offers a means of understanding it. Snowflake, ServiceNow, Databricks, MongoDB—these are specialized instruments, each designed for a specific task. Palantir, however, aspires to a more comprehensive vision. It seeks to create a unified field theory of data, a system capable of anticipating and responding to events before they unfold.