Foresight shelf
AI/Compute
Emerging product categories, buyer workflows, and investment themes.
Reads
Click into any read for the market implication and confirmation path.
Ai Designed Biologics
Photonic edge AI could make low-power, real-time inference more practical.
If this works, more AI could happen locally instead of always depending on cloud compute, which changes cost, speed, and where intelligence can be placed.
Private AI assistants is moving toward the safer path into regulated work.If this category matures, doctors, lawyers, financial teams, and field workers may use AI more often because the tools fit the rules of their work.
Synthetic data and simulation is moving toward the training ground for physical AI.At scale, robots and autonomous systems is moving toward safer and cheaper to develop because more edge cases can be tested before deployment.
Private On-Device AI Assistants For Regulated Workflows Synthetic Data And Simulation Infrastructure AI Accelerator Memory And Interconnect Bottlenecks AI Chips For Robotics And Drones Data-Center Cooling And Power Orchestration Edge AI Sensors For Factories And Infrastructure Low-Power Computer Vision Modules Photonic Compute Quantum networking is moving from isolated lab links toward infrastructure integration.If quantum networking becomes deployable on existing fiber, security and high-value communications markets could get a new infrastructure layer.