OpenAI, Anthropic, Google "Three Kingdoms Kill", Microsoft "Silent Wealth" | a16z Latest Report

Silicon Valley's well-known venture capital firm a16z recently released the third annual survey report of 100 CIOs from the top 2000 companies worldwide, revealing several key topics in the enterprise AI race: the market is accelerating toward an oligopoly, and corporate spending continues to surge.

The core findings indicate that OpenAI remains the clear market leader, with 78% of surveyed enterprise CIOs using its technology, but challengers are gaining momentum, especially Anthropic, which has seen significant growth in enterprise penetration in a short period.

However, in practical enterprise applications, the true winner is Microsoft.

With deeply integrated products like Microsoft 365 Copilot and GitHub Copilot into enterprise workflows, along with the natural preference of corporate clients for trust, seamless integration, and procurement convenience, Microsoft holds a significant advantage.

Meanwhile, companies are continuously increasing their investments with real money. Data shows that the average expenditure on large AI models has grown rapidly over the past two years and is expected to continue to increase significantly this year.

Below are the four core findings from the a16z report:

01 Model Competition: OpenAI Leads, Anthropic and Google Rapidly Catch Up

In enterprise AI models, OpenAI remains an unavoidable name.

According to the survey, up to 78% of surveyed enterprise CIOs are using OpenAI’s models in production environments. But the market is not static; changes are happening, and the most aggressive challenger is Anthropic.

Data shows that since May 2025, Anthropic’s enterprise penetration has surged by 25%, making it the fastest-growing player. Currently, 44% of companies are using its models in production, and including testing environments, this ratio exceeds 63%.

Even the share of enterprise budgets (spending allocation) tells the same story: while OpenAI still holds about 56%, its share is being steadily eroded by Anthropic and Google Gemini. Respondents generally expect this trend to continue into 2026.

In simple terms, a “Three Kingdoms” oligopoly composed of OpenAI, Anthropic, and Google is taking shape. These three companies are growing rapidly, sharing an ever-expanding cake, but their competition for market share is already “intensifying.”

02 Application Deployment: Microsoft Becomes the “Silent Winner”

While public discourse is focused on the OpenAI vs. Anthropic model showdown, survey data points to an often-overlooked “unexpected winner”—Microsoft.

Data shows that most AI applications in the top 2000 global companies are still deployed through existing giants like Microsoft.

Products from Microsoft, such as Microsoft 365 Copilot, lead in enterprise chat scenarios, and GitHub Copilot dominates in enterprise coding. Companies choose them not just because of cutting-edge technology, but for more pragmatic reasons.

65% of respondents explicitly prefer existing solutions like Microsoft, citing consistent reasons: trust, seamless integration with existing systems, and ease of procurement.

This indicates that in the enterprise market, “practicality—ease of use, peace of mind, and integration”—often outweighs the “latest, most flashy” technological halo.

However, the report also notes that this does not mean startups have no opportunities. Enterprises also crave faster innovation and more flexible AI-native solutions, leaving room for challengers to break through.

03 The “Application Doomsday” Argument Is Overstated

There has been ongoing debate about whether enterprises should build their own AI capabilities or directly purchase applications. A popular view is that, as foundational models improve, third-party applications will lose their viability.

But a16z’s survey finds that this “application doomsday” has been seriously exaggerated.

In fact, data shows enterprises are increasingly turning to third-party applications, even in traditionally self-developed areas like knowledge management and workflow automation, many companies plan to shift from “DIY” to buying mature packaged solutions.

The logic behind this is that mature third-party applications can provide deep, scenario-specific capabilities that are difficult for enterprises to develop quickly on their own, and can leverage the strengths of different models through intelligent orchestration, bringing more tangible business results. The competition between “self-developed” and “purchased” solutions is far from over.

04 The Spending Reality: Companies Are Spending Much Faster Than Expected

The most direct reflection of the AI market’s heat is how much companies are actually spending.

One of the core findings of this survey is that the market’s actual growth rate far exceeds everyone’s expectations, including the companies and vendors involved.

Specifically, over the past two years, average enterprise spending on large AI models has soared from about $4.5 million to approximately $7 million. And their budgets for this year are even more aggressive, with an expected increase of about 65%, reaching an average of around $11.6 million.

Spending on AI applications follows a similar trajectory, with actual expenditures far surpassing budgets. Companies expect to spend about $3.9 million on average, but in reality, they have spent nearly $6 million.

These figures indicate that enterprise AI is no longer a “trial” project but has entered a fast lane of scaled, routine investment. The demand’s strength and persistence prove that this is not a fleeting trend.

Source: Tencent Technology

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