The filing, dated February 2nd, revealed this addition. Not a fanfare, but a notation. As if to say, “Yes, we’ve noticed the need for clean linens persists.” It increased their holdings, incrementally, to a little over one and a half percent of their reported U.S. equity assets. A rounding error, almost, in the grand scheme of things, yet a commitment nonetheless.
And yet, a curious thing occurred. Despite a balance sheet that hardly appeared distressed, SoFi elected to issue further shares, diluting the holdings of those who had already entrusted their capital to this venture. A peculiar decision, one might think. Like adding another room to a house already comfortably spacious, or acquiring a second umbrella on a clear day. The market, naturally, reacted with a raised eyebrow, a silent question hanging in the air.
The sale, reported in an SEC filing, leaves Tweedy, Browne with 400,924 shares, a reduction from a larger position. The fund’s overall stake in Autoliv has diminished in value by $5.84 million, a figure that reflects both the sale itself and the broader movements within the market. It is a reminder that even a successful investment can yield a diminished return, and that the relentless upward climb of share prices is rarely sustainable.
By investing in these computing companies, you’re acquiring a stake in something that’s demonstrably making money now. (A refreshing change, wouldn’t you agree? So much investment relies on the vague promise of future profitability. It’s like betting on a snail race.) You’re not entirely dependent on the speculative whims of generative AI taking over the world (though, let’s be honest, it’s a distinct possibility). Investors won’t fully grasp the implications of generative AI for years – decades, even – and by that time, a frankly alarming amount of money will have flowed towards Nvidia, Broadcom, and Taiwan Semiconductor. (Which, in a way, is reassuring. It proves someone knows what they’re doing.)
More little revelations about our fearless President Milei and the cabal that allegedly conjured Libra-the token meant to propel Argentine enterprises, which, alas, sashayed into a billionaire rug-pull, like a scandal wearing its best frock.
And so, a handful of these digital tokens find themselves under the gaze of the prognosticators. Not, mind you, because they possess inherent value – let us not be naive – but because they fluctuate. Ah, volatility! The lifeblood of the gambler, the playground of the speculator, and the siren song of the modern investor.
The malaise has also wandered into XRP exchange-traded funds (ETFs), where flow volatility performs a rather alarming impression of a nervous kettle. Investor caution persists, though there are faint signs of stabilization lurking beneath the surface, ready to decide whether XRP will slide further into the velvet void or stumble toward a notional ascent.
And, remarkably, it seems to be having an effect. A million new subscribers in a quarter. Not since 2019 has Verizon witnessed such a surge. One suspects a generous helping of promotional offers was involved, but let’s not spoil the illusion. After all, a good story is worth a few extra pennies.
The initial fervor surrounding AI has fixated, predictably, on the silicon chip – the visible engine of this new age. This has created a myopia, a dangerous oversight, blinding investors to the companies quietly constructing the underlying skeleton, the very sinews that will support the weight of this burgeoning intelligence. Among these, one entity – Brookfield Infrastructure (BIPC +2.01%)(BIP +1.22%) – has begun to distinguish itself, a slow, deliberate progress documented over the past year.
Three principal forces have combined to elevate FTAI’s standing. First, a partnership forged with Palantir, a purveyor of artificial intelligence. It is a curious alliance, this joining of the tangible world of engines and turbines with the ethereal realm of algorithms and data. Palantir’s offering, their ‘Artificial Intelligence Platform’, promises to bring order to the chaos of inventory, scheduling, and maintenance – a digital hand to guide the mechanics. One cannot help but wonder, however, if this reliance on artificial intellect will ultimately strengthen or diminish the skill and judgment of those who truly understand the workings of these machines. The true test will be whether this partnership yields genuine efficiency, or merely a new layer of complexity and cost.
