Fourteen of the top 50 AI startups were co-founded and led by
former Google employees. Data compiled and released Thursday by WriterBuddy.ai found that these former Google employees continue to shape the AI
industry.
These companies have collectively raised $14.7 billion, accounting for 28% of total funding for top AI startups, and have a combined valuation of $71.6 billion.
AI search tools certainly took center stage, with $1.8 billion or 3.37%. Companies like Glean, Hebbia, and Perplexity AI are making it easier to search and access information through AI. This does not include companies like Google, Microsoft, Amazon, Meta or any of the smaller companies they financed.
The research from WriterBuddy.ai looks at the top 50 AI startups in 2024 and analyzes the $53 billion funded innovations for the year. Funding, valuation, and influence trends among 50 top AI companies from the 2025 Forbes AI 50 list, along with data sourced from Crunchbase, PitchBook, and news articles, with companies categorized into eight sectors, show just how much former Google employees contribute to the technology and advertising industries.
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Geographically, U.S.-based companies raised $49.4 billion -- about 94% of the total -- and France followed with $1.3 billion.
California -- the headquarters of Google -- attracted $47.9 billion, making it the leading AI hub, according to the data.
Former Google employees led 14 companies and raised $14.7 billion or 28% of the total at a combined valuation of $71.61 billion.
Three of these 14 founders were also key members at OpenAI before starting their own ventures.
For example, Dario Amodei, CEO and co-founder of Anthropic, previously served as vice president of research at OpenAI, where he led the efforts to build GPT-2 and GPT-3.
The trend highlights the influence of Google’s culture of innovation and its role in shaping the AI ecosystem. Former Google employees have taken the expertise and experience gained at Google to create some of the most successful AI startups today. Their contributions are accelerating AI development across sectors, from AI infrastructure and models to generative AI and healthcare, according to the report.
Not surprisingly, OpenAI at $21.9 billion was the most-funded startup, followed by Anthropic at $9.7 billion and Databricks at $4 billion.
OpenAI on Thursday announced it will bring transcription and voice-generating AI audio models to its API, which the company claims improve on previous releases. The suite of audio models to power voice agents is now available to developers worldwide.
The speech-to-text and text-to-speech audio models in the API make it possible to build more powerful, customizable, and intelligent voice agents. The latest speech-to-text models set a new state-of-the-art benchmark, outperforming existing solutions in accuracy and reliability -- especially in challenging scenarios involving accents, noisy environments, and varying speech speeds, the company wrote in a blog post.
These improvements increase transcription reliability, making the models especially well-suited for use cases such as customer call centers, meeting note transcription, and more.
It could come in handy for advertisers looking to reach a specific audience. That is because word error rates have fallen and developers can instruct the text-to-speech models to speak in a specific way.
For example, “talk like a sympathetic customer service agent,” which can unlock what OpenAI describes as a "new level of customization for voice agents. This enables a wide range of tailored applications, from more empathetic and dynamic customer service voices to expressive narration for creative storytelling experiences."