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Ethereum’s current trajectory appears to be heavily influenced by the burgeoning world of Real World Asset (RWA) tokenization. Now, tokenization, in essence, is taking things that exist in the real world – stocks, property, your Aunt Mildred’s collection of thimbles – and turning them into digital representations on a blockchain. (It’s a bit like turning lead into gold, only with more coding and significantly less alchemy. Though, frankly, the line is becoming increasingly blurred.) Currently, around $24.1 billion of these tokenized assets are being traded, and Ethereum, remarkably, holds about $14.6 billion of that. Which means, if you were to visualize this as a digital real estate market, Ethereum is currently experiencing a rather enthusiastic building boom.

The year past was, by most measures, a good one. Not a year of explosive gains, but of solid building. The company’s three pillars—asset management, wealth solutions, and operating businesses—each contributed, not as separate entities, but as parts of a single, interwoven structure. The asset management arm swelled to $603 billion, a considerable weight of responsibility, and with it, a $3 billion increase in fee-related earnings. The wealth solutions side saw a 24% rise, fueled by prudent investment and a growing base of insured assets. And the operating businesses—infrastructure, renewable power, industrial services, and real estate—continued to generate a flow of cash, the lifeblood of any enterprise.

The self-correcting mechanisms of the market—often as subtle and insidious as the fading of a daguerreotype—are at work. It would not be imprudent, therefore, to consider a re-allocation of capital, a gentle tilting of the portfolio towards those undervalued entities that have been languishing in the periphery. Herewith, a trio of specimens, poised, perhaps, for a decade of subtle bloom.

Presented below is a preliminary assessment of two such cryptocurrencies, suitable for consideration over extended, perhaps indefinite, periods.

There’s a good deal to commend it, this CoreWeave. They’ve cornered a rather lucrative niche – renting out the computational muscle needed for all this AI tomfoolery. And not just any muscle, mind you, but the top-of-the-line stuff from Nvidia – a firm with a reputation as solid as a bank vault. A most promising arrangement, wouldn’t you agree? They seem to have the knack for providing exactly what the market craves, which, in this instance, is computing power by the hour. A bit like hiring a particularly strong fellow to move some furniture, only with silicon chips instead of brawn.

The historical performance of Bitcoin is, shall we say, remarkable. Over the past decade, it has, with a frequency that borders on the predictable, achieved returns that would make a stockbroker blush. In ten of the fourteen years since 2012, it outperformed every other asset class. Seven of those years saw triple-digit gains. A truly astonishing record, though one wonders if it isn’t simply a consequence of starting from a base so delightfully insignificant. From a mere ten dollars in 2011, it ascended to over $100,000, peaking at $126,000 in October 2025. A performance that, one suspects, has encouraged a degree of reckless optimism.

There are, naturally, a number of firms poised to benefit from all this spending. However, Nvidia (NVDA 2.21%) and Broadcom (AVGO 1.87%) stand out like a particularly well-dressed gentleman at a garden party. Both are purveyors of the computing equipment that forms the very backbone of these AI data centers. And with expenditure proceeding at its current rate, they are set for a period of robust expansion. A most agreeable prospect, wouldn’t you say?

Nvidia’s strength lies not simply in the fabrication of graphics processing units, but in a broader vision – a comprehensive approach to the demands of modern data centers. These GPUs, the engines of artificial intelligence, accelerate processes with a speed and efficiency that were once the stuff of dreams. The company’s dominance – holding over eighty percent of the market for AI accelerators – is not accidental. It is the result of a deliberate strategy, a ‘full-stack’ approach that encompasses not only hardware, but also the adjacent realms of software and networking.

The tale is familiar enough. Both Freddie and its sister organisation, Fannie Mae, found themselves in the government’s care during the regrettable unpleasantness of 2008. They busily purchased mortgages – some of a distinctly questionable character – bundled them into securities, and thus kept the whole rickety edifice of home financing from collapsing entirely. A noble effort, perhaps, but one that left them rather exposed when the inevitable reckoning arrived.