Reflections on SF TechWeek 2025
What an amazing #SFTechWeek this has been!
Had the privilege to attend most of the DeepTech and Physical AI events
Some of my biggest takeaways from the week below 👇
The Inflection Point
AI’s recent leap is being driven by three converging forces:
Exponential compute – we’ve gone beyond Moore’s Law, scaling horizontally through data centers and distributed networks.
Breakthroughs in GenAI and multimodal models – making perception, reasoning, and control possible in the physical world.
Real-world adoption pressures – labor shortages, reshoring, and the need for automation.
Energy — not chips — is emerging as the true bottleneck in scaling AI infrastructure.
Simulation is critical for speed and safety, but real-world data remains the unlock for embodied intelligence and dexterous tasks. Synthetic data fills the last 30%, but physical deployments close the loop.
The Physical AI stack is converging:
- Energy + sustainable compute
- Data centers and edge GPUs
- Real-time data pipelines + interoperability
- Robotics and embodied systems at the top
Investors are favoring end-to-end systems until standards mature. Expect M&A and consolidation as interoperability improves.
Real Adoption Requires Cultural Fit
Scaling from one factory to many often fails due to culture and technical readiness, not the tech itself.
Internal champions — those who can sell ROI and replicate success — are what make adoption stick.
Knowledge Preservation and Trade Skills
A key opportunity for Physical AI lies in capturing tribal knowledge from retiring workers.
“When a 20-year veteran knows a machine’s smell or sound — that’s tacit data we need to model.”
Reshoring, Sustainability, and Labor
Automation reduces the role of labor arbitrage, enabling localized, distributed manufacturing closer to demand centers.
Physical AI isn’t just about efficiency — it’s about rebuilding capacity.
Broader Reflections
- The Physical AI Stack is converging — energy, compute, hardware, software, and data are merging.
- Invest where physical constraints meet digital leverage (logistics, manufacturing, energy, infrastructure).
- Think in ecosystems, not point solutions — interoperability will be the next moat.
- Prioritize ROI and reliability — adoption follows when robots solve must-do problems.
- Sustainability is now a core advantage, not an afterthought.
Favorite quotes from the week:
🧠 “We’re not at the end of Moore’s Law — we’re in the sequel.”
🤖 “You don’t need humanoids. You need automation that works.”
💡 “Customer love is the ultimate moat.”
😅 “The best companies don’t have customers — they have hostages.”



