AIToday

Palantir CEO criticizes OpenAI, Anthropic over AI model licensing

ITmedia AI+5h ago5 min read
Palantir CEO criticizes OpenAI, Anthropic over AI model licensing

Key takeaway

Palantir CEO Alex Karp publicly criticized OpenAI and Anthropic, arguing their business model asks enterprise customers to surrender data access to strengthen the AI companies' competitive position while receiving little value in return. In response, Palantir announced a partnership with NVIDIA to provide U.S. government agencies and critical infrastructure operators with custom AI models that run on isolated networks, allowing customers to own and control the model weights completely.

Summaries like this, in your inbox every morning.

Sign up free →

3 Key Points

  • What happened

    Palantir CEO Alex Karp said in a CNBC interview that enterprise customers are questioning why they must give data access to AI companies like OpenAI and Anthropic to strengthen those firms' competitive advantage. He argued models are being "oversold irresponsibly" and announced a partnership with NVIDIA to build custom models for U.S. government agencies that run in isolated networks and give customers full ownership of model weights.

  • Why it matters

    Enterprise customers worry they are wasting resources on tokens while losing only intellectual property, according to Karp. Companies prefer models where they retain complete control over computing, data, and model weights rather than relying on third-party vendors, suggesting a shift in how organizations may want to procure and deploy AI systems.

  • What to watch

    Palantir and NVIDIA are building "frontier-class" custom models based on NVIDIA Nemotron for U.S. government agencies and critical infrastructure operators, with customers able to train their own data on-premises and maintain full model ownership.

FAQ

What is Palantir and NVIDIA offering to government agencies?
Palantir and NVIDIA are building frontier-class custom models based on NVIDIA Nemotron that run in air-gapped (isolated from external networks) environments. Government agencies and critical infrastructure operators can train the models on their own data using their own infrastructure and retain full ownership of the model weights.
What is Karp's main criticism of OpenAI and Anthropic?
Karp argues that enterprise customers give these companies access to their data to strengthen the AI firms' competitive advantage while gaining little value themselves, and that models are being oversold irresponsibly. He also questions token-based pricing, suggesting that if models delivered real value, vendors would charge based on measurable business outcomes rather than token consumption.
Does Karp say enterprise executives are publicly complaining about AI licensing?
No. Karp said enterprise executives avoid commenting publicly but are privately angry about how models are being sold and the business terms offered by AI vendors.

Discussion

No comments yet. Be the first to share your thoughts!

Log in to join the discussion

Related Articles

Stay ahead with AI news

Get curated AI news from 200+ sources delivered daily to your inbox. Free to use.

Get Started Free

Free · takes 30 seconds · unsubscribe anytime

1 minute a day. The AI essentials.

200+ sources · Email / LINE / Slack

Get it free →