nick de la forge

The bottleneck for AI scaling has moved from chip supply to energy availability, making investments in energy storage, geothermal, virtual power plants, fusion, and fission critical for AI infrastructure and climate resilience simultaneously.

Hyperscalers Google and Microsoft are best positioned to win the AI race long-term because they combine deep cash reserves, ability to repurpose data centers for other workloads, and exclusive data access—advantages pure-play AI labs lack.

Robotics investment momentum from 2025 will continue into 2026, with humanoid robots becoming commercially available for households, potentially from multiple Magnificent Seven companies beyond Tesla.

SpaceX's Starship dramatically reducing launch costs acts as a 'space elevator,' making space accessible and kickstarting a broad wave of space tech innovation.

The vast majority of valuable data has never been on the internet or seen by models; the real AI winners will be those who can access and train on this offline proprietary data, not those with temporary speed or idea advantages.

Europe's push to reshore critical supply chains (per Draghi plan) creates manufacturing investment opportunities, but investors must avoid rebound effects where efficiency gains merely increase output of non-essential goods like fast fashion rather than climate-critical sectors like batteries and solar.

Planet A's core thesis expects energy costs to decline toward zero over the next two decades, fundamentally changing manufacturing, compute, and resource economics in Europe's favor.

Parallel to energy cost declines, labor costs will drop dramatically through AI and robotics, enabling Europe to overcome resource constraints through automation and biomanufacturing.