Computer-Use Agents and the Future of the Agentic Internet
Chris Benson and Demetrios Brinkmann discuss the rapid evolution of AI agents, focusing on the Agentic AI Foundation's governance of Model Context Protocol (MCP) and real-world applications of computer-use agents. They explore how autonomous agents are automating personal workflows, the security and structural hurdles of enterprise adoption, the convergence of models and agent harnesses, and the potential disintermediation of traditional e-commerce by agent-driven commerce.
- Conversion rate optimization tactics like pop-ups, upsells, and exit discounts are obsolete when automated software executes purchases instead of human eyes. Read →
- Frontier labs are training agent behaviors directly into foundation weights via reinforcement learning, causing base models to expect their vendor's proprietary runtime environment. Read →
- Demetrios Brinkmann argues that vision-driven computer-use models remove the need for custom developer APIs by interacting directly with graphical user interfaces. Read →
- Consumer adoption of computer-use agents is exploding because users can grant sweeping desktop permissions without clearing compliance reviews. Read →