With global AI investment projected to reach $1.8 trillion by 2030, the panel explored the line between durable innovation and short-term hype. I brought a data-driven perspective from my study of more than 100,000 engineers, focusing on what AI actually changes about developer productivity.
Key insights from the session:
LLMs ≠ instant productivity – success requires solid measurement, experienced teams, and the right org structure.
No shortcut to scaling – automation, task quality, and rework metrics matter more than ever.
Remote ≠ unproductive – high performers thrive with the right systems; AI can help streamline communication and task structuring.
Reality check on “vibe coding” – without proper oversight, AI-generated code can become a bottleneck.
Ant shared lessons from Supabase’s experience powering a large share of recent Y Combinator startups. Together, we focused on what founders and technical leaders need to build for long-term impact rather than fast demos.
With global AI investment projected to reach $1.8 trillion by 2030, the panel explored the line between durable innovation and short-term hype. I brought a data-driven perspective from my study of more than 100,000 engineers, focusing on what AI actually changes about developer productivity.
Key insights from the session:
LLMs ≠ instant productivity – success requires solid measurement, experienced teams, and the right org structure.
No shortcut to scaling – automation, task quality, and rework metrics matter more than ever.
Remote ≠ unproductive – high performers thrive with the right systems; AI can help streamline communication and task structuring.
Reality check on “vibe coding” – without proper oversight, AI-generated code can become a bottleneck.
Ant shared lessons from Supabase’s experience powering a large share of recent Y Combinator startups. Together, we focused on what founders and technical leaders need to build for long-term impact rather than fast demos.