(This article is authored by Node Finance and published with authorization from Titanium Media.)
Article by Node Finance, author: Zero Degree
The AI industry has once again witnessed a landmark event.
On October 26, Anthropic officially filed its IPO registration application, planning to list on the Nasdaq under the stock symbol “ANT.” This AI company, which has risen rapidly thanks to its Claude series of models, is now moving toward the public capital markets.
It should be noted that filing an IPO application does not equate to a formal listing; the final offering price, fundraising size, and trading schedule remain to be determined.
But this matter itself is already important enough.
Over the past few years, AI companies have been competing on model capabilities, funding scale, and the pace of technological iteration. Now that Anthropic is entering the public market, a more practical question has emerged for everyone: just how much commercial value can AI generate, and what kind of tangible returns can it deliver to investors?
Node Finance believes that the significance of Anthropic’s IPO goes beyond simply adding another star AI company to the capital markets; it also reflects the AI industry’s transition from a technology race to a new phase of realizing commercial value.
The story of AI is finally coming due.
Over the past few years, what the AI industry has had in abundance is imagination.
From breakthroughs in large models to the rise of intelligent agents, and now with AI making inroads into corporate R&D, software development, and everyday office work, technological advances continue to expand market opportunities. Capital is willing to pay a premium for this shift and to use expectations of future growth to justify today’s high valuations.
Anthropic is a leading representative of this wave.
But technological leadership and commercial success have never been the same thing.
Training AI models requires substantial computational power, and inference services demand ongoing investment; talent, chips, and data centers all represent significant costs. As the customer base grows, the company’s revenue may increase rapidly, but computing expenses may not decline in tandem.
This represents a clear departure from the traditional software business. Once a software product is developed, it can serve a larger user base at relatively low cost; by contrast, AI services require continuous consumption of computing resources. Even if technological advances reduce per-unit costs, that does not mean all AI companies can reliably achieve high profit margins.
This means that the market should not only look at how quickly an AI company’s revenue is growing, but also at the cost behind that growth.
For Anthropic, going public will bring closer scrutiny. Investors will not only be concerned about how strong Claude is and how quickly its customer base is growing, but also about gross margins, cash burn, capital expenditures, and when the company can achieve sustainable profitability.
In the past, AI companies had to demonstrate technological feasibility; now, they must also prove that their business can sustain itself over the long term.
This is the real challenge of an IPO.
Capital is willing to pay for the future, but it won’t keep listening to stories forever.
Why is the market still so focused on Anthropic?
Because investors are betting not just on today’s Claude, but on the future where AI could become the next-generation infrastructure.
If more and more companies embed AI into R&D, customer service, marketing, data analytics, and internal management, model‑building firms could become a critical foundation for enterprises’ digital operations. What they offer is no longer just a chat tool, but a service that can generate ongoing revenue and be deeply integrated into workflows.
From this perspective, Anthropic’s long-term value is indeed worth watching.
The question is how much profit this market will ultimately generate, and who will capture it.
Competition in the AI industry is far from over. Model capabilities can be caught up, open-source technologies may reduce usage costs, and major tech companies enjoy advantages such as computing power, cloud platforms, and customer channels. Even if the overall AI market continues to expand, that doesn’t mean every model‑provider can maintain its current competitive position.
Moreover, industry players are all ramping up their investments. When everyone believes the market is large enough and keeps pouring capital into vying for market share, industry revenues may grow rapidly—but companies’ return on investment may not improve in tandem.
Node Finance believes that Anthropic’s IPO pricing not only reflects the company’s current operating performance but also prices in the future competitive landscape of the AI industry. The market is willing to pay a premium for growth expectations, but ultimately it will depend on whether those expectations can be realized.
Here, it’s essential to distinguish between two concepts: being bullish on the AI industry does not mean that any price is worth paying; and recognizing a company’s technology does not necessarily guarantee that it will deliver excess returns to investors.
Until the final offering price, equity structure, and full risk disclosures are clarified, there remains insufficient basis to discuss how much ANT is actually worth.
For investors, what truly matters is not chasing a hot stock ticker, but rather understanding the growth expectations underlying the valuation and the operational performance required to deliver on those expectations.
In the second half of AI investment, the key will be who can turn technology into profit.
Anthropic’s IPO also sends a noteworthy signal: AI investment opportunities may be expanding from a handful of star model companies to the broader industry chain.
Model companies possess foundational capabilities, but for AI to truly generate economic value, it also requires computing infrastructure, enterprise software, industry-specific data, and concrete application scenarios that can be put into practice.
When a company purchases AI services, its ultimate goal is not simply to acquire a more advanced tool, but rather to improve efficiency, reduce costs, increase revenue, or accomplish tasks that were previously difficult or impossible to achieve.
This will determine the competitive dynamics of the AI industry going forward.
Whose model is stronger is certainly important; equally important is who can turn that model’s capabilities into a product that customers are willing to pay for on an ongoing basis. Only those who can deliver real business value to their customers will have the best chance of building lasting competitive advantages.
This is insightful for both entrepreneurs and investors.
For business leaders, there’s no need to make blind investments just because AI is trending. Rather than chasing buzzwords, it’s better to start with concrete business processes and identify use cases where you can measure the return on investment.
For investors, it’s also necessary to shift from focusing solely on technological breakthroughs to examining business models, the competitive landscape, and financial health. The market opportunities created by technological advances ultimately need to be translated into shareholder returns through effective corporate management.
Of course, this doesn’t mean that the value of model companies will decline. On the contrary, companies with genuine technological advantages, strong customer loyalty, and effective cost control may further widen the gap in competition.
But the market will also come to a clearer realization: AI represents a massive industry opportunity, yet it is not a game that all participants can win.
Final words
Anthropic is racing toward the Nasdaq; what’s worth watching isn’t just another wealth myth about to emerge, but rather that the AI industry is entering a more realistic phase.
In the past, the market discussed what AI could do; now, it is beginning to ask how much revenue, profit, and sustainable cash flow AI can generate.
Technological breakthroughs remain important, and the market potential is still vast, but capital ultimately seeks returns, and companies must address the question of input versus output.
For entrepreneurs, AI is not an unlimited future check but rather a business transformation that requires careful financial planning.
For investors, what truly matters is not just the companies with the most dazzling technology, but those that can translate their technological advantages into long-term commercial value.
In the first half of AI, the competition was about who could build more powerful models; in the second half, the focus will shift to who can turn those models into a successful business.
The story of ANT has only just begun. And the market will ultimately provide the answer.
(Disclaimer: The content published on this account (including text, images, etc.) is for informational purposes and opinion exchange only and does not constitute any investment, financial management, or other professional advice.)
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