
AI Agents and Agentic AI: The 2026 Landscape
Agentic AI is the shift from AI that answers to AI that acts. The 2026 landscape — platforms, players, and why agent-mediated discovery is now a communications problem.

Agentic AI is the shift from AI that answers to AI that acts. The 2026 landscape — platforms, players, and why agent-mediated discovery is now a communications problem.

The article discusses how AI engines like ChatGPT interact with problem gamblers and the lack of a robust harm reduction framework. It highlights the conversational, private, and unbounded nature of AI interactions, posing both potential for harm and harm reduction. The author proposes a multi-layered framework including risk pattern recognition, calibrated friction, resource integration, platform accountability, and industry collaboration.

Twenty-five questions every enterprise AI buyer should put in writing — telemetry, decision layer, enforcement, recourse, change management. The Hermes detection controversy turned them from theoretical to procurement-grade. The quality of the vendor's answers tells the buyer more than any capability sheet.

Following the Hermes/OpenClaw incident, Anthropic issued a public statement acknowledging a bug in third-party harness detection and initiating a refund program. However, this statement left many substantive questions unanswered regarding the underlying mechanisms, scope, and future policies. This article dissects what Anthropic communicated, what was omitted, and the significant issues that remain unresolved.

The Hermes AI billing incident exposed how platforms observe, decide, and enforce without disclosure. The timeline, the trust test, and the fix.

AI platform detection is reshaping enterprise AI buying: see the six disclosures every RFP needs and where to push back on vendors before you sign the deal.