Anthropic is moving toward what could become one of the most closely watched technology listings of the year, with investors building increasingly ambitious expectations around the artificial intelligence company's future revenue.

The company has experienced an extraordinary acceleration in demand for its AI products and services. Recent estimates cited by investors suggest Anthropic could reach annualized revenue of roughly $100 billion to $120 billion by the end of 2026, while longer-term projections discussed by sources point to substantially higher figures by 2028.

Those expectations are central to the debate around the company's potential public-market valuation.

Anthropic has already attracted enormous private-market interest, but a public listing would expose the business to a much wider group of investors. That makes the company's ability to convert AI demand into sustainable revenue and profit especially important.

The company is expected to pursue a potential IPO later this year. Some investors have discussed valuations of $2 trillion or more, which would place the listing among the largest ever.

The enthusiasm reflects the speed at which enterprise adoption of artificial intelligence has developed.

Businesses are increasingly using AI systems for coding, research, customer service, data analysis and other professional tasks. Anthropic's Claude platform has benefited from this growing enterprise demand, helping the company build a significant commercial presence.

However, the valuation discussion also highlights the risks surrounding the current AI investment cycle.

Building advanced AI systems requires enormous computing resources. Companies must spend heavily on processors, data centers, electricity, research talent and model development. Anthropic's revenue growth therefore has to remain sufficiently strong to justify those infrastructure and operating costs.

Competition is another major factor.

Anthropic operates in a market that includes OpenAI, Google and several rapidly expanding Chinese AI developers. Lower-cost models could place pressure on pricing, while improvements from competitors could make it harder for any single company to maintain a technological advantage.

Investors are also becoming more selective about AI valuations.

The rapid rise of artificial intelligence companies has generated significant excitement across financial markets, but concerns about high spending and uncertain long-term returns have also increased. A major IPO would therefore become an important test of how public investors value AI businesses.

Anthropic's position is particularly interesting because its growth story is closely linked to the broader enterprise adoption of AI.

If businesses continue increasing their spending on AI tools, the company's revenue could expand rapidly. But if companies become more cautious about technology budgets or if cheaper alternatives gain market share, those expectations could change.

Regulation is another variable.

AI companies face increasing scrutiny over data, model safety, copyright, national security and the use of advanced computing technology. Regulatory changes could influence both product development and international expansion.

The potential IPO therefore represents more than a fundraising event.

It could become a market test for the economics of artificial intelligence itself.

Investors will want to know whether extraordinary revenue growth can eventually translate into durable margins and cash generation. They will also examine whether the company's technology can maintain a competitive advantage as the AI market becomes more crowded.

For the broader technology sector, Anthropic's public-market journey could establish an important valuation benchmark.

If investors accept extremely high multiples based on future AI growth, other technology companies may benefit. If the market takes a more cautious approach, AI valuations across the sector could face greater scrutiny.

The story ultimately comes down to expectations versus execution.

Anthropic has demonstrated that demand for advanced AI can grow at remarkable speed. The next challenge is proving that such growth can become a sustainable business model.