Emerging Technologies:
- Persistent Agent Memory Systems — Enables agents that learn and improve over time rather than starting fresh each session—creates network effects and switching costs that could determine platform winners
- Hardware Attestation for AI — Could create technical moats around AI deployment that favor hardware incumbents—watch for regulatory pushback as competitive implications become clear
- Conformal Prediction for AI Reliability — Provides calibrated uncertainty estimates critical for enterprise AI adoption—solves the trust problem that's blocking agent deployment in high-stakes scenarios
Research Insights:
- Fast Byte Latent Transformer research indicates local AI efficiency gains are accelerating faster than cloud cost reductions
- Mechanistic interpretability advances suggest AI reasoning transparency may be solvable within 18 months
Patent Signals:
- Hardware attestation patent activity suggests major players are preparing for trust-based competitive moats