Generative AI has become one of technology’s most expensive races, and the largest checks are increasingly coming from the largest companies. Microsoft, Google and Amazon have moved aggressively into AI startup funding, using their balance sheets and cloud infrastructure to shape a market that traditional venture capital firms once expected to dominate.
According to new data from private market researchers PitchBook cited in the source, Microsoft, Google and Amazon accounted for two-thirds of the $27 billion raised by fledgling AI companies in 2023. That concentration shows how quickly the center of gravity has shifted in a sector defined by high computing demands, fast-rising valuations and a small group of heavily watched foundation model companies.
Why Big Tech has the advantage
Generative AI systems can create humanlike video, text, image and audio in seconds. But building and training those tools is not a lightweight software project. The source makes clear that the process requires immense computing power and cash.
That need gives Big Tech companies a practical edge. Startups are not only looking for investment dollars; they also need cloud infrastructure and access to powerful chips. Microsoft, Google and Amazon can offer both money and the technical backbone required to train and run advanced AI systems.
This helps explain why many startups have been drawn toward partnerships with established technology companies. For a young AI company, a major cloud partner can be more than a financial backer. It can be the route to the infrastructure needed to compete at all.
The numbers behind the shift
The spending surge followed the launch of OpenAI’s ChatGPT in November 2022. From there, major technology groups moved quickly to secure positions in companies developing generative AI and foundation models.
The source points to several prominent deals. Microsoft made a $10 billion investment in OpenAI. Microsoft has also committed $1.3 billion to Inflection, another generative AI start-up. Anthropic, based in San Francisco, raised billions of dollars from both Google and Amazon.
Together, these deals helped push overall spending on AI groups to nearly three times the previous record of $11 billion set two years ago. The scale matters because it changes who can participate in the biggest rounds. When a small set of companies can offer billions of dollars plus strategic infrastructure, venture firms face a much harder contest.
Why venture capital is under pressure
Venture capital firms have not disappeared from the AI market, but they are operating from a weaker position in the largest deals. The source says VCs have had to slow spending as they adjust to higher interest rates and falling valuations for their portfolio companies.
That marks a sharp contrast with 2021, when venture investing in tech reached record levels. Investors then had access to ultra-low interest rates and deployed large sums across many industries, especially those disrupted by Covid-19.
In generative AI, the challenge is not only macroeconomic. The strongest foundation model companies have become expensive targets. The source says an employee stock sale at OpenAI is seeking to value the company at $86 billion, almost treble the valuation it received earlier this year.
Higher valuations make it harder for VCs to build meaningful stakes in the companies leading the technology. Nina Achadjian, a partner at US venture firm Index Ventures, described a market that has quickly consolidated around a handful of foundation models, with large tech players investing billions in companies including OpenAI, Cohere, Anthropic and Mistral.
Where investors are still looking
Traditional investors still have a role in AI. Thrive Capital, Josh Kushner’s New York-based firm, is the lead investor in OpenAI’s employee stock sale and had already backed the company earlier this year. The source also notes that Thrive continued to invest during the downturn in venture spending in 2023.
Mistral, based in Paris, raised around $500 million from investors including Andreessen Horowitz, General Catalyst and Nvidia after being founded in May this year. That shows venture firms and strategic investors are still active, even if Big Tech has taken the lead in the largest foundation model deals.
Some VCs are also shifting attention to companies building applications on top of foundation models developed by OpenAI and Anthropic. The source compares this to the way apps began to appear on mobile devices after smartphones were introduced.
That application layer may become the area where more investors can still find room to compete. Sarah Guo, founder of AI-focused venture firm Conviction, pushed back against the idea that only foundation model companies matter, saying there remains a large unexplored space for AI applications.
What this means for the AI market
The immediate result is a more concentrated AI funding environment. The most expensive work in generative AI is being pulled closer to companies that already control major computing infrastructure and have the resources to fund billion-dollar commitments.
For startups, that can bring faster access to capital and infrastructure. It may also tie the most important AI companies more closely to existing technology giants. Patrick Murphy, founding partner at Tapestry VC, warned that even leading venture investors cannot compete to keep these AI companies independent and create new challengers that unseat Big Tech incumbents.
The larger story is not that venture capital has left AI. It is that the market has split. Foundation models are attracting the deepest corporate spending, while many VCs are looking for opportunity in the businesses that can be built on top of those models. In a sector defined by cash, computing power and speed, Big Tech now has the clearest early advantage.