The expansion of what is termed “artificial intelligence” over the last decade has proceeded, not as a revolution, but as a slow, inexorable tightening of an unseen mechanism. The projections, meticulously calculated by entities like Grand View Research, suggest a continued growth – a 30.6% compounded annual rate from 2026 to 2033 – which feels less like opportunity and more like an accounting of an inevitable process. One finds oneself, as a custodian of capital, not participating in a market, but documenting its progression, a passive observer within a self-contained system.
Nvidia and Broadcom, two entities currently designated as potential beneficiaries of this trend, present themselves as logical conduits for capital. Their selection, however, feels less a matter of informed decision and more a consequence of limited options within the increasingly defined parameters of the technological landscape. The purpose of this assessment is not to advocate for investment, but to record the current state of affairs, a bureaucratic necessity within the larger, incomprehensible framework.
The Components
Nvidia, as the primary producer of discrete GPUs, occupies a peculiar position. These units, unlike the centralized processing units which perform tasks in sequence, are designed for parallel processing. This capacity, ostensibly for graphical rendering, has found a secondary application in the training of these “intelligent” algorithms. Nvidia controls, with unsettling efficiency, over 90% of this discrete GPU market, effectively dictating the terms of access. Clients are not merely purchasing hardware, but entering into a proprietary system, a subscription to a future dictated by a single entity. The implications of such concentrated control remain, predictably, unaddressed in the official reports.
Broadcom, in contrast, presents as a more diffuse entity, a manufacturer of chips for a multitude of applications – mobile, data centers, networking, and so on. However, its recent expansion into infrastructure software, achieved through a series of acquisitions, suggests a similar trajectory – a consolidation of power, a tightening of control. The bundling of hardware and software, while presented as a synergistic advantage, feels more like the construction of a walled garden, a deliberate restriction of alternatives. Their growth, driven by the production of application-specific integrated circuits designed to accelerate custom AI tasks, appears less a response to market demand and more a fulfillment of a predetermined plan.
The Potential, or Lack Thereof
Nvidia’s continued success seems, on the surface, predictable. The demand for discrete GPUs will likely rise, fueled by the ongoing “AI gold rush.” The successive chip architectures – Turing, Ampere, Hopper, Blackwell – represent a steady, incremental progression, a relentless optimization of existing technology. The planned launch of the Rubin architecture in 2026 feels less like innovation and more like the inevitable continuation of a process, a mechanical response to external stimuli. The system demands efficiency, and efficiency will be delivered.
Broadcom, too, is poised for continued growth, driven by orders for these custom AI accelerators. The reported 65% surge in AI chip sales in fiscal 2025, accounting for 31% of their top line, is a significant figure, yet it feels strangely detached from any tangible benefit. The aim to generate $60-$90 billion in annualized AI chip revenue by the end of fiscal 2027 feels less like a strategic objective and more like a bureaucratic requirement, a quota to be met. The numbers themselves seem to exist independently of any underlying reality.
Both companies demonstrate high double-digit revenue and profit growth. They trade at multiples of 18 and 24 times next year’s earnings, respectively. The potential for further appreciation exists, of course, but it feels contingent on factors beyond our control – the continued expansion of the AI market, the evolution of the underlying technology, and the unpredictable actions of other entities within the system. One can only document the possibilities, not guarantee their realization. The portfolio remains, as always, subject to the whims of an unseen and incomprehensible mechanism.
Read More
- Building 3D Worlds from Words: Is Reinforcement Learning the Key?
- The Best Directors of 2025
- Gold Rate Forecast
- 2025 Crypto Wallets: Secure, Smart, and Surprisingly Simple!
- Mel Gibson, 69, and Rosalind Ross, 35, Call It Quits After Nearly a Decade: “It’s Sad To End This Chapter in our Lives”
- 20 Best TV Shows Featuring All-White Casts You Should See
- Umamusume: Gold Ship build guide
- Top 20 Educational Video Games
- Walmart: A Stillness in the Shifting Sands
- Most Famous Richards in the World
2026-03-11 22:42