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Chronicles

The story behind the story

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A look at the race to build advanced AI robots; PitchBook: robotics startups have raised $6.5B across 552 deals in 2024 vs. $9.7B across 1,256 deals in 2023

Financial Times :

Financial Times

Context & Ripple Effects

The 2024 funding slowdown sits at an early point in a broader physical-AI financing cycle. Later coverage recorded more than $5 billion invested in humanoid-robotics startups since the start of 2024, indicating that investor interest increasingly focused on a narrower set of robot categories.

That momentum subsequently broadened: PitchBook later reported global robotics and physical-AI investment reaching $26 billion in 2025. The contrast makes this a useful baseline for measuring how quickly capital returned to the sector.

First-order effects

  • Robotics startups faced a materially smaller pool of venture rounds than in 2023, making access to early-stage financing more selective.
  • Investors backing advanced AI robots had fewer transactions through which to place capital, raising the importance of companies that could stand out in the race to build capable systems.

Second-order effects

  • A reduced deal flow can push founders toward larger, more differentiated rounds while leaving less-proven robotics teams with fewer financing options.
  • The subsequent rise in humanoid and physical-AI investment suggests that later capital flowed toward segments investors viewed as clearer beneficiaries of AI progress, rather than lifting all robotics startups equally.

Third-order effects

  • If this pattern persists, robotics venture funding may become more concentrated around physical-AI platforms and a smaller number of companies able to finance the long path from models to deployed machines.
  • The sector’s funding cycle is increasingly tied to the wider surge in AI and machine-learning venture funding, which could amplify both capital availability and competition for investor attention.

The trend: Advanced robotics is becoming part of the broader physical-AI investment cycle, with funding moving from broad experimentation toward more targeted, high-conviction bets.