Emerging Technologies:
- Model Context Protocol (MCP) for AI-system integration — Becomes the TCP/IP of AI agents—early adoption creates vendor lock-in advantages similar to early cloud APIs
- End-to-end test-time training for dynamic context adaptation — Eliminates the retraining bottleneck, enabling real-time AI customization—could make current MLOps obsolete
- Agentic browser automation with multi-turn reasoning — First general-purpose AI that can navigate human-designed interfaces—expands AI applicability to any web-based workflow
Research Insights:
- Hierarchical Software Engineering Agents (BOAD) research shows AI can now understand code architecture, not just syntax—implications for software design roles within 2-3 years
Patent Signals:
- Absence of major patent filings around MCP suggests open standards will win—similar to early internet protocol adoption