Goldman Sachs projects Anthropic could reach $685 billion in annual revenue by 2030

The path to a trillion-dollar valuation

Goldman Sachs researchers have released a report suggesting that Anthropic could see its annual revenue reach $685 billion by the year 2030. This massive growth trajectory provides a significant foundation for the company's upcoming initial public offering, or IPO. According to calculations from Bloomberg News, these figures support a target valuation of $1.4 trillion for the AI startup.

The company is currently preparing to raise $90.4 billion through its offering. This total includes a specific $26 billion private placement intended to fuel its expansion. Investors are looking at these numbers to determine if the company can successfully transition from a high-growth startup to a dominant market leader.

To reach these goals, Anthropic must navigate a period of intense scaling. The report indicates that the startup's sales are anticipated to climb by a factor of nearly 150 compared to the $4.59 billion it earned in the previous year. This leap represents one of the most aggressive growth projections in the current technology landscape.

Enterprise vs. consumer revenue

The breakdown of Anthropic's projected revenue highlights a heavy reliance on corporate clients. Goldman Sachs researchers forecast that sales from enterprise customers will account for $586 billion of the annual revenue by 2030. This suggests that businesses will be the primary drivers of AI adoption as they integrate tools into their daily workflows.

In contrast, non-enterprise revenue is expected to reach about $100 billion for the same year. While the consumer side of the market is significant, it remains a smaller portion of the total revenue pie compared to the industrial and corporate sectors. This distinction underscores the current focus on B2B, or business-to-business, applications of artificial intelligence.

The growth is expected to be driven by the transformative power of AI on professional activities. Analysts believe that Anthropic could replace various manual processes with automated systems. This shift is intended to streamline complex tasks that currently require significant human labor and oversight in the corporate world.

Expanding into new industries

Anthropic's ambitions extend far beyond simple coding assistants like Claude Code. The company is looking toward future business lines that could impact multiple sectors of the economy. These include high-stakes fields such as drug discovery and the automation of manufacturing processes.

By moving into these areas, Anthropic aims to become a foundational layer for industrial innovation. Automating manufacturing allows for more precise control over production lines and reduces the need for manual intervention. Drug discovery, on the other hand, could significantly accelerate the timeline for developing new medicines.

These diverse applications demonstrate how the company intends to capture a large share of the AI market. Instead of being a niche tool, Anthropic is positioning itself as a general-purpose engine for complex problem-solving. This strategy is central to the argument that AI will fundamentally reshape how products are made and discovered.

The cost of massive scaling

Achieving these revenue targets will require a massive investment in hardware and infrastructure. Goldman Sachs researchers expect Anthropic's spending on compute infrastructure to climb more than ten-fold through 2030. Compute infrastructure refers to the underlying hardware and systems required to train and run large AI models.

Because of this steep spending, the company is not expected to see immediate profitability. Goldman Sachs researchers anticipate that the firm will not achieve a state of positive free cash flow on an annual basis until the end of the decade. This means the company will spend more than it earns in the short term to build out its technological capabilities.

However, the bank projects that profit will eventually increase in a similar fashion to the spending. If the company can successfully manage the costs of its infrastructure, the high revenue from enterprise sales should eventually lead to significant margins. The goal is to balance the high cost of innovation with the massive scale of the resulting services.

Consumer trust and AI agents

While Anthropic focuses on enterprise growth, other research highlights how consumers view AI in their personal lives. Recent PYMNTS Intelligence research shows that people are becoming more comfortable with AI agents for specific tasks. Specifically, 63% of people would allow an AI agent to search for and compare different credit products.

Despite this openness to information gathering, there is a clear line where consumers want to step back in. Only 49% of people said they would let an agent fill out and submit a credit application on their behalf. Furthermore, 36% of people are not at all willing to let an agent submit an application, even if they give the final go-ahead.

The research suggests that consumers view comparing offers as a low-stakes activity. In contrast, submitting an application is seen as a formal process that could have a significant impact on their personal finances. This distinction shows that while people trust AI to do the homework, they still want to maintain control over the final, high-stakes actions.