
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.

The Hermes story is the public moment at which AI platform billing stopped being simple. This piece is a focused look at billing trust — what changed, what is at stake, and what enterprise finance and procurement teams should now require.

The Anthropic Hermes incident was a three-week crisis triggered by a billing bug that went viral. This case study examines the communications strategy—what worked, what failed, and operational lessons for AI platform teams managing technical crises in public.

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/OpenClaw detection incident, initially cataloged as a billing error, reveals structural insights into how AI platforms operate. This article delves into the AI governance lessons from the Hermes case, focusing on telemetry, decision-layer disclosure, and recourse architecture.

An enterprise AI procurement cycle after Hermes is a governance conversation. The capability questions still matter. They no longer differentiate. The questions that differentiate are now about what the platform reads, what it decides, and what happens when it gets the decision wrong. This piece is the operational guide to how that shift changes procurement, what to add to every RFP, and where to push back.