Since its inception, the Swan Dive has been following the daily drama of the Trump Great Reset, the geopolitical architecture behind what we’ve come to refer to as The Great Race; the multi-polar competition for resources and control of the global AI economy.
Tariffs, semiconductor subsidies, energy policy, sovereign wealth funds, digital assets and industrial investment often appear disconnected when viewed through the lens of daily headlines.
Step back a few thousand feet, however, and a larger picture begins to emerge.
Washington, abiding by President Donald Trump’s will, is attempting to align American finance, energy production, industrial capacity and technological development behind a single objective: ensuring that America’s entrepreneurial system remains competitive against China’s state-directed model of economic and technological development.
This week, that competition gains maximum focus on Wall Street.
SpaceX is preparing for what may become the largest public offering in history.
OpenAI has quietly filed confidential paperwork for its own debut.
Anthropic has released its most capable public model yet while continuing to reserve its most advanced systems for enterprise and government clients.
Taken together, these developments reveal how quickly artificial intelligence has evolved from a software-and-platform fantasy into an infrastructure story. The companies building frontier AI increasingly require the same ingredients that fueled railroad expansion in the 19th century and telecommunications networks in the 20th: enormous amounts of capital, access to reliable energy and investors willing to finance projects whose ultimate returns remain years in the future.
🛰️ Elon Musk Wants To Escape The Grid
SpaceX spent much of the past decade convincing investors it was reinventing space transportation.
Last week’s unveiling of AI1 suggests Musk may have a different ambition in mind. According to company materials, the satellite will carry Nvidia computing hardware powered by massive solar arrays stretching roughly 230 feet across. Instead of competing for increasingly scarce electrical capacity on the ground, portions of AI computing would move into orbit where energy arrives continuously from the sun and transmission constraints disappear altogether.
SpaceX isn’t just building rockets — it’s laying the foundation for an entirely new economic frontier. If that vision becomes reality, today’s space race may be remembered as the opening chapter of the largest economic expansion in human history. (Source: SpaceX)
The proposal sounds futuristic until one considers the alternatives. Artificial intelligence consumes electricity at a pace few utilities anticipated even five years ago. Every new model requires larger data centers. Larger data centers require more computing hardware, more cooling systems and more power generation.
Utilities across the country are scrambling to expand capacity while technology companies compete for access to available electrons. The closer one gets to the center of the AI economy, the less it resembles a software industry and the more it resembles a vast industrial project built around energy production.
Musk has concluded that electricity itself is now a critical bottleneck. Rather than waiting for transmission lines, permitting agencies and utility commissions to catch up, SpaceX is exploring ways to move portions of the computing stack beyond terrestrial constraints entirely.
Investors evaluating the IPO this week are not simply evaluating rockets, satellites or launch contracts. They are evaluating a company attempting to position itself at the intersection of aerospace, communications, artificial intelligence and energy infrastructure simultaneously.
🤖 OpenAI Goes Shopping For Capital
OpenAI confidentially filed its IPO papers yesterday. One assumes to capture some of the vibe surrounding SpaceX… and not just be another name crowding the market during the greatest IPO craze any investor alive will have seen to date.
OpenAI reportedly hopes to reach public markets with a valuation approaching $1 trillion.
Training frontier models has become one of the most capital-intensive endeavors in modern business. Every improvement in performance requires larger data sets, larger computing clusters and larger facilities to house them. The infrastructure supporting advanced AI increasingly resembles the buildout of railroads, electrical grids and telecommunications networks during earlier eras of economic transformation.
An OpenAI IPO would mark far more than another high-profile tech listing. It would give investors a direct stake in the company at the center of the AI revolution — a technology shift that many believe will rival the internet in both scale and economic impact. (Source: Investopedia)
Those projects consumed extraordinary amounts of capital long before they generated extraordinary returns.
Investors have not yet seen the details because the filing remains confidential, but the broad outlines are already familiar. The company generates enormous revenue while simultaneously committing vast sums toward future computing capacity. Private investors financed the first phase of the AI revolution. Public markets increasingly appear destined to finance the second.
That transition carries consequences beyond Silicon Valley. Pension funds, retirement accounts, index funds and ordinary investors will increasingly find themselves financing the physical infrastructure required to support the next generation of artificial intelligence.
🧠 Anthropic And The New Strategic Assets
Anthropic’s release of Claude Fable 5 offered another glimpse into where the industry is heading. The model reportedly performs exceptionally well on advanced coding, research and analytical tasks, yet some of the most revealing details involve what users cannot access.
Queries involving cybersecurity, biological research and other sensitive topics are automatically redirected toward older models with stronger safeguards. Anthropic’s unrestricted Mythos platform remains largely confined to vetted enterprise clients and government environments.
That arrangement reflects a broader reality emerging across the AI landscape. The most capable systems increasingly occupy the same category as technologies governments have historically treated as strategic assets. Advanced computing models now intersect with intelligence gathering, cybersecurity, military planning and critical infrastructure in ways that would have seemed far-fetched only a few years ago.
The boundary separating Silicon Valley from Washington grows less distinct with each passing quarter. Venture-backed software companies increasingly find themselves operating in a world that resembles aerospace, telecommunications and defense contracting as much as traditional technology.
🏛️ The Fed the Great Race Requires
All of this brings us back to Kevin Warsh, whom the chattering class is waiting to hear from for the first time since he was confirmed to replace Jerome Powell at the head of the Fed.
Building data centers, semiconductor fabrication plants, electrical infrastructure and advanced manufacturing facilities requires enormous quantities of labor, capital and energy. Financing that buildout while maintaining price stability presents one of the defining economic challenges of the decade.
Warsh’s criticism of the Phillips Curve offers an early clue regarding how he may approach that challenge.
The Federal Reserve may be approaching one of the most consequential stretches of 2026. With inflation pressures easing, economic growth slowing, and political scrutiny intensifying ahead of the midterms, investors are increasingly focused on what comes next for interest rates. (Source: Reuters)
For decades, policymakers operated under the assumption that tight labor markets inevitably generated inflation. As unemployment declined, wages rose. As wages rose, prices eventually followed. The model became one of the intellectual foundations of modern central banking and served as a guidepost for generations of Federal Reserve officials.
The experience of the 1970s complicated that view. Inflation and unemployment rose together, forcing economists to modify theories that once seemed straightforward. The Phillips Curve survived, but increasingly through layers of adjustments, expectations models and statistical refinements designed to explain outcomes that the original framework struggled to predict.
Warsh’s critique directs attention elsewhere. His speeches repeatedly return to government borrowing, fiscal deficits, central bank balance sheets and monetary expansion as drivers of inflationary pressures. Under that framework, an economy constructing productive infrastructure does not automatically create inflation simply because workers receive higher wages. Inflation arises when policymakers finance spending through debt creation and monetary excess that outpace the economy’s ability to absorb them.
The distinction matters because America is entering a period that requires substantial investment in productive capacity. Data centers require power plants. Semiconductor facilities require skilled labor. Electrical grids require upgrades. Manufacturing capacity requires financing. Policymakers who view every strong labor market as an inflation threat may reach different conclusions than those focused on the long-term productive capacity being built.
The debate extends well beyond interest rates. It touches the intellectual framework through which the Federal Reserve interprets economic growth itself.
💰 Who Rings The Bell At The Top?
Our friend Lau Vegys raised an observation this week that deserves attention.
The conversation surrounding SpaceX, OpenAI and Anthropic inevitably centers on technology, innovation and future potential.
Beneath that discussion lies a simpler question involving capital formation and liquidity. Early investors, venture funds and founders eventually reach a stage where financing requirements exceed what private markets comfortably provide. Public markets solve that problem by connecting ambitious projects with a vastly larger pool of capital.
Index funds, retirement accounts and passive investment vehicles now represent one of the largest sources of investment capital on earth. Once companies reach major benchmarks, shares are automatically purchased regardless of valuation. The mechanism works beautifully when capital flows steadily upward. It becomes more complicated when expectations outrun results.
History offers numerous examples of transformative technologies that produced disappointing returns for those who arrived late and paid too much. Railroads transformed commerce. Automobiles transformed transportation. The internet transformed communication. None of those outcomes prevented speculative excess from developing around the companies building them.
Artificial intelligence may ultimately prove even more transformative than those earlier revolutions. The technology itself is not the source of concern.
Valuation remains where enthusiasm and reality eventually meet.
🪙 The Great Race Reaches Wall Street
The Great Race is no longer something conjured up in economic think tanks. The tech has escaped laboratories, the Federal government, through Trump’s Project Vault, is an active investor, while venture capitalists froth at the prospect of how rich they are going to get while these IPOs suck all the loose capital out of money market funds and self-directed IRAs.
A summary is almost vapid in its simplicity: The companies leading the race require enormous amounts of capital. The infrastructure supporting them requires even more. Every data center, power plant, transmission line, semiconductor facility and computing cluster ultimately depends upon someone willing to finance the project.
That financing increasingly comes from the same place: the savings, retirement accounts and investment portfolios of ordinary people.
The opportunity is real.
So is the risk.
History, our forever copilot, rarely objects to technological progress. But she grows less forgiving, even vindictive, when investors forget the difference between a great innovation and a great investment.
~ Addison
P.S. Wall Street will spend the next several weeks debating SpaceX’s valuation. We’ll be watching the capital flows. The most revealing development of the AI boom may not be the technology itself, but the moment its largest builders collectively decide that venture capital is no longer enough and turn to the public for financing.
To understand what’s really going on – and what it means for markets – this week on Grey Swan Live!, we’ll bring in a trusted friend of the show, Adam O’Dell. Adam leads the Money & Markets research group, and his system-driven approach to investing has taken a lot of the guesswork out of investing.
Adam just released his latest research into what the SpaceX IPO means for markets, and how investors can best position themselves not just for the IPO – but whatever happens in markets next.
Please note the special time change this week – 1 p.m. instead of 2 p.m. See you there!
If you have any questions for us, send them to Feedback@GreySwanFraternity.com.
