Exclusive: Mercor’s Fast Growth Relies on Biggest AI Companies, Documents Show Save 25% to unlock this story

Sign in
Subscribe

    Data Tools

    • About Pro
    • Enterprise Software Startup Takeover List 2026
    • The Next GPs 2026
    • The Executives Leading the Data Center Race
    • The Next GPs 2025
    • The Rising Stars of AI Research
    • Leaders of the AI Shopping Revolution
    • Enterprise Software Startup Takeover List 2025
    • Org Charts
    • The Information 50 2025
    • Generative AI Takeover List
    • Generative AI Database
    • AI Chip Database
    • AI Data Center Database
    • Tech IPO Tracker
    • Tech Sentiment Tracker
    • Gigafactory Database

    Special Projects

    • The Information 50 Database
    • VC Diversity Index
    • Enterprise Tech Powerlist
  • Org Charts
  • Deep Research
  • Tech
  • Finance
  • Weekend
  • Charts
  • Events
  • TITV
    • Directory

      Search, find and engage with others who are serious about tech and business.

    • Forum

      Follow and be a part of discussions about tech, finance and media.

    • Brand Partnerships

      Premium advertising opportunities for brands

    • Group Subscriptions

      Team access to our exclusive tech news

    • Newsletters

      Journalists who break and shape the news, in your inbox

    • Video

      Catch up on conversations with global leaders in tech, media and finance

    • Partner Content

      Explore our recent partner collaborations

      XFacebookLinkedInThreadsInstagram
    • Help & Support
    • RSS Feed
    • Careers
    Sign in
  • About Pro
  • Enterprise Software Startup Takeover List 2026
  • The Next GPs 2026
  • The Executives Leading the Data Center Race
  • The Next GPs 2025
  • The Rising Stars of AI Research
  • Leaders of the AI Shopping Revolution
  • Enterprise Software Startup Takeover List 2025
  • Org Charts
  • The Information 50 2025
  • Generative AI Takeover List
  • Generative AI Database
  • AI Chip Database
  • AI Data Center Database
  • Tech IPO Tracker
  • Tech Sentiment Tracker
  • Gigafactory Database

SPECIAL PROJECTS

  • The Information 50 Database
  • VC Diversity Index
  • Enterprise Tech Powerlist
Deep Research
TITV
Tech
Finance
Weekend
Charts
Events
Newsletters
  • Directory

    Search, find and engage with others who are serious about tech and business.

  • Forum

    Follow and be a part of discussions about tech, finance and media.

  • Brand Partnerships

    Premium advertising opportunities for brands

  • Group Subscriptions

    Team access to our exclusive tech news

  • Newsletters

    Journalists who break and shape the news, in your inbox

  • Video

    Catch up on conversations with global leaders in tech, media and finance

  • Partner Content

    Explore our recent partner collaborations

Subscribe
  • Sign in
  • Search
  • Opinion
  • Venture Capital
  • Artificial Intelligence
  • Startups
  • Market Research
    XFacebookLinkedInThreadsInstagram
  • Help & Support
  • RSS Feed
  • Careers

Scale confidently.Scale confidently.

Learn more
Featured Partner
PwC logo
AI Agenda

How Can Investors Continue Funding AI Developers?

Photo by Mike Sullivan via Midjourney
By
Stephanie Palazzolo
[email protected]Profile and archive

One of the earliest AI Agenda newsletters in August 2023 made the bear case for large language model developers. Over the last year-and-a-half, our predictions from that day seemed to largely come true, as model makers like OpenAI moved more into applications and cheap AI releases from DeepSeek and others threatened the margins of those selling AI models to developers.

So why then, has the flood of new model makers with no product, let alone revenue, continued unabated?

The latest two examples are Ilya Sutskever’s Safe Superintelligence and Mira Murati’s Thinking Machines Lab. Safe Superintelligence is reportedly in talks to raise at a $30 billion valuation, less than a year after it was cofounded by the former OpenAI chief scientist and has no immediate plans for commercial products. Meanwhile, Murati announced her new lab on Tuesday in an extremely vague blog post that clarified little about what its approach would actually be. (You would have learned more from our scoop on the startup last month!)

Clearly, investors must be taking more than projections for currently nonexistent revenue into account when deciding to back these startups.

Recommended