The AI agent landscape is undergoing a structural shift. OpenClaw traffic has dropped ~50% over two consecutive months while Hermes Agent — built by Nous Research — surged 15x to ~5M monthly visits, becoming the first credible rival in the autonomous agent space. Hermes now ranks #1 on OpenRouter with 18.2T tokens versus OpenClaw's 4.96T, and supports 200+ models with native Stripe payments — agents can now buy, sell, and transact autonomously. The economic infrastructure is racing to catch up: Coinbase and AWS simultaneously integrated x402 to let AI agents pay for services directly via CloudFront, while Robinhood opened agentic trading to all users. On the security front, Zscaler ThreatLabz uncovered a malware campaign weaponizing OpenClaw's plugin ecosystem through poisoned SKILL.md files, and CrowdStrike launched Continuous Identity for AI Agents — first-class workload identities with zero standing privilege. Meanwhile, Gartner warns that 40%+ of agentic AI projects will be cancelled by 2027, even as the market races toward $57B by 2031. The gap between pilots and production remains the defining tension of 2026.
At Identiverse 2026, CrowdStrike launched Continuous Identity for AI Agents — SPIFFE-anchored workload identities, zero standing privilege, and continuous authorization for the agentic enterprise. Every AI agent gets an automated, verifiable workload identity with context-aware authorization.
AI agents can now autonomously research, trade, and rebalance stocks within user-defined limits via Robinhood's MCP server. Users fund a dedicated agentic account and connect any AI agent. Also launching Agentic Credit Card. HOOD stock passed $100.
OpenClaw traffic down ~50% over two months while Hermes Agent hit 15x growth to 5M monthly visits. Now #1 on OpenRouter with 18.2T tokens (vs 4.96T). Supports 200+ models, native Stripe payments, self-evolution loop. The agent race now has a legitimate second contender.
Zscaler ThreatLabz uncovered malware delivering Remcos RAT on Windows and GhostLoader on macOS/Linux through poisoned OpenClaw skills. Separate research shows agents falling for phishing, spilling user data. "1 in 20 agent skills is hostile" — security teams increasingly nervous.
Market growing 40%+ CAGR toward $57B by 2031. Yet only 23% of organizations report significant ROI. Gartner predicts 40%+ of agentic projects cancelled by 2027 — mostly from unclear business value, runaway cost, and weak governance. 88% of AI POCs never reach production.
03 / In their own feeds
Ten voices on X.
Selected posts from the edition, with links to the originals.
Kanika · @KanikaBK01 / X
"🚨 BREAKING: Someone just leaked the ENTIRE system prompt of Claude Fable 5 and Anthropic CANNOT DELETE IT. It was public on GitHub within 24 hours of launch. 120,000 characters. 1,585 lines. 27,000+ tokens. And what they're hiding will shock you: Fable 5 and Mythos 5 are..."
⚠️ Security Zscaler ThreatLabz: "In March 2026, Zscaler ThreatLabz uncovered a malware campaign that weaponized the OpenClaw AI agent framework's plugin ecosystem to deliver Remcos RAT on Windows and GhostLoader on macOS/Linux — all through a poisoned SKILL.md file in a fake 'DeepSeek-Claw' skill."
AI Agent Analytics: "OpenClaw traffic dropped ~50% for 2 consecutive months — Hermes Agent surged 15x to ~5M traffic. So what is Hermes Agent? An AI assistant that lives in your terminal — pairing a powerful LLM with direct access to tools: browser, terminal, filesystem."
"Dario explains why Anthropic chose enterprise over engagement-driven consumer AI. This matters more than people realize. Consumer AI is pulled toward attention. Enterprise AI is pulled toward trust. If your model is helping a company write code, analyze data, touch customers..."
/ @yxy2168: "🚨🌍 World models are surprisingly fragile! We introduce BadWorld, an adversarial attack for visual world models. A tiny perturbation breaks them."
community (🇨🇳): "A 15-year-old Chinese teen used 7 AI Agents with OpenClaw to turn Polymarket into his personal mint. No team, no big capital — just a laptop and OpenClaw. He assigned each Agent a clear role like a micro quant team: one scans markets for pricing gaps, one calculates probabilities and expected value..."
"My friend @Saboo_Shubham_, @AddyOsmani and the team at Google just published a 50-page breakdown on the shift from vibe coding to agent-driven development."