PitchBook has shared key insights focused on the artificial intelligence (AI) and machine learning (ML) ecosystem.
PitchBook noted in the latest report that investors bid up Elon Musk in AI horse race—xAI’s value has been surging in secondary trading.
According to Caplight estimates, xAI’s secondary market price “rose from $15.19 on October 1, 2024 to $30.72 on January 3, 2025 for an 102% increase.”
Over the same time-period, OpenAI’s estimated stock price rose by “25.3% and Anthropic’s rose by 26.2%.”
Caplight estimates xAI’s market value at “$71 billion, OpenAI’s at $146.6 billion, and Anthropic’s at $35.3 billion as of January 3, 2025.”
Here are additional takeaways from the PitchBook market update:
- Questions arise about who will create sustainable enterprise value from AI: Salesforce CEO Marc Benioff recently stated that he would not invest in any of the foundation model companies right now because they are building similar products and technologies, and they need to create real differentiation. Similarly, some VC investors are increasingly saying that foundation models mostly offer similar services.
- US AI companies are competing on price, and we see plummeting pricing in China, where Alibaba is releasing new models and dramatically cutting cost per token.
- This is all to say that we are observing a fiercely competitive battle on AI model capabilities and pricing among deep-pocketed heavyweights Meta, Google, Amazon, and Microsoft as well as VC-backed companies OpenAI, Anthropic, and xAI.
- Further, Meta’s and Mistral AI’s models are open-source, and thus can be run locally, which reassures major enterprises with sensitive data, such as those in healthcare and financial services, that customer info will be kept private. This should turn investors’ attention to the app layer, where there are thousands of capable founders building enterprise solutions with real return on investment.
As explained the update from PitchBook, their report identifies public companies with significant revenue from “AI-centric software and AI-focused products in both hardware and software.”
Companies with diverse business models and AI leadership are referred to as “conglomerates,” while companies whose products are centered on AI
systems are labeled as “pure-play.”
This qualitative categorization is “not exhaustive yet can offer a directional comparison for private companies.”
