Everything About AI
NextFin News - Anthropic PBC is offering shares in its blockbuster initial public offering directly to Australian investors, bringing a fresh artificial-intelligence bet to a market that only weeks ago watched a data-center deal collapse in front of them. The company filed a registration statement on Form S-1 with the U.S. Securities and Exchange Commission on Monday, Oct. 26, 2026, and said it will lodge a prospectus with the Australian Securities and Investments Commission, opening the offering to retail investors in the country. Investors are expecting a fair valuation of between $1.4 trillion and $1.75 trillion, according to people familiar with the matter.
The move is a test of how deep the appetite for AI exposure really runs - and whether a market that just rejected one infrastructure story at a fraction of the price will embrace the most expensive technology debut in history.
The Deal, and the Wound It Is Trying to Heal
The timing is deliberate. On Oct. 8, 2026, Firmus, a Nvidia-backed Australian data-center operator, shelved its IPO after investors baulked at the valuation. The company had planned to raise about US$5.5 billion (roughly A$7.9 billion) in what would have been the biggest Australian initial public offering since Telstra three decades ago, after an earlier planned A$44 billion ASX listing was cancelled on lacklustre investor demand. The withdrawal left the local market questioning how much risk appetite remained for AI infrastructure narratives at premium prices.
The recriminations that followed made the mood worse. Major Firmus investors accused the heavyweight investment banking syndicate working on the float of providing misleading information and leaving them in the dark as the deal fell apart. For Australian retail investors - who typically have less access to management briefings and roadshow color than institutions - the episode reinforced a nagging suspicion: by the time an AI story reaches the public market, the best prices have already been taken.
Anthropic's Australian move is the counterpoint. The company intends to list its Class A common stock on the Nasdaq Global Select Market under the ticker "ANT," though the number of shares on offer and the price range have not yet been determined and will be disclosed in a later filing. The offer to Australian investors comes through a prospectus lodged with ASIC rather than a separate ASX listing - a structure that lets a foreign issuer tap local demand without a dual listing or the regulatory burden of one.
The stakes are enormous. Anthropic was valued at $965 billion after a $65 billion Series H funding round in May 2026, led by Altimeter Capital, Dragoneer, Greenoaks and Sequoia Capital. The IPO is expected to more than double that. If priced near the upper end of expectations, it would become the second-largest stock-market debut in history, trailing only Elon Musk's SpaceX, which listed on Nasdaq on June 12, 2026, and ultimately raised about $86 billion.
Amazon, which has committed $8 billion to Anthropic, and Google, with up to $40 billion, are both backers and distribution channels through AWS and Google Cloud - a relationship that is simultaneously the company's growth engine and its most visible dependency. The company is a Public Benefit Corporation, with a stated mission to ensure the world safely makes the transition through transformative AI - a governance structure that gives it latitude to prioritize safety commitments alongside shareholder returns, but which also adds a layer of complexity for public-market investors accustomed to a single fiduciary mandate.
What the Filing Reveals
The financial picture inside the prospectus is as striking as the valuation. Anthropic reported a net loss of about $42 billion in 2025, of which roughly $34 billion was an accounting charge tied to financing instruments that could convert into shares. The operating loss still exceeded $8 billion.
Revenue, however, has grown explosively. It rose about twelvefold to nearly $4.6 billion in 2025. The company said in May that annualized revenue had exceeded $47 billion, and backers expect annualized revenue to reach between $100 billion and $120 billion by the end of 2026. To fuel that growth, Anthropic spent $7.33 billion on computing and infrastructure in 2025, three times its 2024 outlay, and the prospectus forecasts $518 billion in cloud, computing and infrastructure obligations over the coming year.
That $518 billion figure deserves attention. It is not an aspiration - it is a contractual commitment. In the AI infrastructure race, compute capacity is the moat, and companies are signing multi-year agreements with cloud providers to lock in chips before their rivals can. The commitment tells investors that Anthropic believes demand will be there to absorb the capacity. It also tells them that the company has mortgaged a large portion of its future cash flow to build the capacity in the first place. If demand normalizes before the capacity is fully utilized, the obligations do not shrink with it.
There are concentration risks. The filing warns that nearly a quarter of revenue came from just two customers. And the company's biggest backers - Amazon, with $8 billion committed, and Google, with up to $40 billion - are also its distribution channels through AWS and Google Cloud, a relationship that is both a growth engine and a dependency. A public-market investor buying shares in Anthropic is, in effect, betting that the Claude platform can keep winning enterprise contracts even as its two largest backers compete with it through their own models.
"A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective," the company said in its announcement.
Why Australia, and Why Now
Australia is an unusual but revealing choice for a company of Anthropic's size. The local investor base is larger than it has ever been: a record 11.5 million Australian adults now hold investments outside their superannuation and their main home, according to the ASX Australian Investor Study 2026, with 2.5 million joining the investor population since 2020 and an estimated 950,000 non-investors planning to start within the next 12 months.
That crowd has been largely locked out of the AI boom. Australian retail investors could not buy into OpenAI, and the domestic market's one big AI-infrastructure bet, Firmus, just imploded. The bourse's own survey found, for the first time, that investors are actively using AI tools for investment information and advice - a sign that demand for AI exposure is already present but has had few legitimate outlets. The ASX also estimates that 950,000 Australians who do not currently invest plan to start within the next 12 months, a pool of new capital that issuers are increasingly courting.
For Anthropic, the calculation is equally pragmatic. A valuation above $1 trillion cannot be absorbed by institutions alone. Tapping a deep, retail-heavy market broadens the buyer base and helps anchor the offering. Local brokers have moved quickly: IG Australia became the first platform to promote access to Anthropic, offering traders the ability to buy a single share even without a direct allocation. Other platforms are expected to follow, turning the IPO into a retail-accessible event rather than an institutional allocation.
The strategy mirrors the playbook SpaceX used for its own blockbuster debut. The rocket maker reserved up to 30% of its offering for retail investors, creating a broad ownership base that helped stabilize early trading. For Anthropic, following that playbook in Australia - a market with high retail participation and a demonstrated hunger for technology names - offers a way to build momentum before the stock begins trading on Nasdaq.
The Valuation Gap: Structural Shift Riding a Cyclical Wave
The central question is whether the valuation is defensible. At $1.4 trillion to $1.75 trillion, investors are pricing Anthropic as if its current growth trajectory extends for years without interruption. That is a structural bet: it assumes enterprise demand for large language models is a permanent regime change, not a spending cycle that will normalize.
The evidence for the structural case is real. Anthropic has gained ground against OpenAI and Google by selling its models to business customers, with industry estimates putting its enterprise large-language-model market share at 32%, ahead of OpenAI's 25%. The $518 billion in contracted infrastructure obligations signals that customers and the company itself are committing to multi-year capacity expansion - the kind of locked-in demand that characterizes a structural shift rather than a cyclical spike. Enterprise software adoption curves are typically S-shaped: slow at first, then rapid, then saturating. Anthropic is pricing as if it is still in the rapid-adoption phase, with years of runway left.
But the cyclical risks are severe. Dr. Chan Ahn, a former Goldman Sachs and JPMorgan executive, estimated that supporting a $2 trillion valuation at a 10% cost of equity, 25% free-cash-flow margin and 25x terminal multiple would require about $725 billion in annual revenue by 2036; at a 13% discount rate, the required revenue rises to roughly $950 billion. Independent research firm New Constructs valued the company at just $150 billion and described the potential offering as the "most ridiculous IPO of 2026." Michael Burry, the "Big Short" investor, noted that Anthropic's valuation equals the combined value of 78 S&P 500 companies.
Put differently: the market is being asked to value Anthropic at roughly 15 times the $100 billion to $120 billion in annualized revenue backers expect by the end of 2026, while the company is still losing money on an operating basis and has committed to half a trillion dollars of infrastructure spending. That multiple prices in not just growth, but growth that never meaningfully decelerates.
The verdict: this is a structural shift riding a cyclical wave, and the two are being priced as one. Enterprise AI adoption is durable - the regime change is real. But the valuation embeds a cyclical peak in spending growth that will almost certainly mean-revert as companies digest deployments and budgets normalize. The market is paying for the structural story while assuming the cyclical growth rate persists. That gap is where the risk sits.
The Second-Order Problem: A Crowded IPO Window
Even if Anthropic's fundamentals hold, the timing creates a separate risk. The 2026 IPO market is facing a historically crowded listing window, with SpaceX, OpenAI and Anthropic potentially raising more than $240 billion combined. OpenAI is also pursuing a public listing, targeting a valuation of around $1 trillion to $1.4 trillion. SpaceX listed in June at about $1.77 trillion, and its shares finished the week of Oct. 23 slightly below their opening price.
The first-order effect is simple: three mega-IPOs competing for the same pool of capital. A retail investor who commits to Anthropic may have less dry powder for OpenAI, and vice versa. Institutions face the same trade-off at scale.
The second-order effect is sharper. If OpenAI prices before Anthropic and trades poorly, it resets the entire AI valuation anchor before Anthropic's roadshow even begins. The market does not price each IPO in isolation; it prices them relative to one another. A weak OpenAI debut would not just hurt OpenAI - it would compress the multiple investors are willing to pay for every AI name that follows, Anthropic included. Conversely, a strong OpenAI performance would validate the sector and give Anthropic a tailwind it did not earn on its own merits.
There is also a third-order effect that the market has not fully priced: the sequencing risk cuts both ways for retail investors. Those who miss OpenAI may flood into Anthropic out of fear of missing the AI trade entirely - a behavioral dynamic that can push the opening price above fair value. Or they may recoil from the entire sector after seeing the first AI giant stumble. The market is not just pricing Anthropic's cash flows; it is pricing the sequence, the sentiment, and the crowd behavior around it.
What Could Break the Thesis
The strongest counter-thesis is straightforward: the IPO is priced for perfection in a market that has already shown it will reject AI stories at lower prices. Firmus's collapse demonstrates that domestic appetite has limits, and if Anthropic prices above $1.75 trillion while reporting a $42 billion net loss and a $4.6 billion revenue base, the gap between narrative and financials may prove too wide for even an AI-starved crowd to bridge.
The counter-thesis has a credible home in the value-investing community. New Constructs' $150 billion valuation implies the market is paying roughly 13 times more than a fundamentals-based model suggests the company is worth. Burry's comparison - Anthropic's valuation equals the combined value of 78 S&P 500 companies - frames the same point in terms investors can grasp immediately. These are not fringe views; they represent a mainstream skepticism about whether any company, however fast-growing, can justify a valuation of this magnitude while posting operating losses.
The falsifying signal is specific: if Anthropic's annualized revenue growth slows below 50% year over year in the first two quarters after listing, or if one of its two largest customers reduces spending materially, the structural-growth justification for a $1.4 trillion-plus valuation breaks down. A genuine regime shift should be visible in sustained, not decelerating, revenue expansion. A second falsifying signal: if the company fails to narrow its operating loss as revenue scales toward $100 billion, the margin story that underpins the $2 trillion case collapses with it.
What to Watch
In the short term, the offering's success depends on the price range, which has not yet been disclosed, and on market conditions around the November 2026 U.S. midterm elections, which the listing is expected to follow. A lower opening valuation would reduce downside risk for retail investors; a full-price debut near $2 trillion leaves little margin for error. The number of shares on offer, to be disclosed in a later filing, will determine how much of the company is actually available to the public - a wide float favors stable trading, while a tight float invites volatility.
Over the medium term, the key data points are quarterly revenue growth, customer concentration, and whether the $518 billion infrastructure commitment translates into margin improvement or simply deeper losses. Investors should watch the share of revenue from the top two customers: if it rises rather than falls as the company scales, the concentration risk is compounding rather than diversifying.
Over the long term, the question is whether enterprise AI spending proves to be a permanent shift in corporate technology budgets or a cycle that normalizes. The answer will determine whether Anthropic's valuation is the floor or the ceiling.
Base case: Anthropic lists in the $1.4 trillion to $1.75 trillion range and trades with high volatility as the market digests the loss alongside the growth. Upside case: revenue continues to grow at triple-digit rates, margins inflect, and the stock rerates toward $2 trillion. Downside case: growth decelerates, customer concentration worsens, and the valuation compresses toward the $150 billion to $965 billion range that skeptics and the last private round imply.
The irony of Anthropic's Australian debut is hard to miss: a market that just rejected a data-center IPO at a fraction of the price is now being asked to embrace the most expensive AI offering in history. The difference is the asset behind it - but for retail investors, the lesson from Firmus is the one that should stick. Price matters, even when the story is real.
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