Today is a busy Friday in AI. Anthropic ships a genuinely useful new feature — Claude now generates inline interactive charts, diagrams, and timelines right inside conversations, a meaningful product step that keeps Anthropic iterating fast despite the ongoing Pentagon drama. DoD CTO Emil Michael escalated that situation further, saying Claude would "pollute" the defense supply chain with baked-in policy preferences — while Palantir's CEO defiantly confirmed they're still using it. China's OpenClaw gold rush shows no sign of slowing: Binance is hosting OpenClaw+crypto panels, CNBC ran a "lobster buffet" headline on Chinese tech adoption, and grass-roots deployment is accelerating even as Beijing restricts government agencies and banks. On the enterprise front, Jitterbit's 2026 benchmark reports a 53% surge in "AI Workers" with 78% of agentic projects delivering real ROI — confirming the wave has crossed from hype to execution. And Binance founder CZ put a bold stake in the ground: AI agents will make 1 million times more payments than humans, and those payments will run on crypto.
Anthropic rolled out a new capability today enabling Claude to generate interactive charts, diagrams, timelines, and widgets directly inside conversations — no copy-paste to a separate tool required. A meaningful product step that narrows the gap with data-focused AI tools.
DoD CTO Emil Michael said Anthropic's Claude has "a different policy preference baked in" and would pollute the agency's AI supply chain. Separately, Palantir CEO Alex Karp confirmed his firm is still using Claude despite the Pentagon blacklist — setting up a tense standoff between defense customers and DoD.
Private Chinese tech companies are racing to build OpenClaw-compatible products and cloud services even as the government moves to restrict state enterprises and banks from running it. The dichotomy is striking — massive grass-roots commercial adoption versus top-down security clampdown, playing out in real time.
Jitterbit's 2026 AI Automation Benchmark Report finds the agentic AI wave has crossed from hype to execution: enterprise budgets are scaling fast, AI workers are being deployed across HR, finance, logistics, and marketing, and the vast majority of projects are showing real business value within months of launch.
Binance founder Changpeng Zhao posted this week that AI agents will dwarf human payment volume, and those payments will run on crypto rails — not legacy banking. He followed up naming the tools he's using to build them, including OpenClaw and Kimi, cementing the crypto+AI convergence thesis with real builder credibility.
03 / In their own feeds
Ten voices on X.
Selected posts from the edition, with links to the originals.
Bloomberg · @business01 / X
(Bloomberg): "China's enthusiasm for the OpenClaw AI agent has sent shares of tech companies that embraced it soaring. But Beijing is now moving to limit its uses at government agencies and some of its largest banks" (follow-up)
"GOODBYE, FUND MANAGERS. GOODBYE, BLOOMBERG TERMINAL. No more $24,000/year subscriptions. Claude just turned my laptop into a private quant analyst. Here are 07 prompts to build your own hedge fund at home ↓"
"🚨 The #1 problem with local AI is now solved. There's a new tool called llmfit that checks your hardware and tells you exactly which models will run well before you download anything. It grades your hardware's capability for every model: 🟩 Perfect Fit: Fully runs..."
RT — "🚨 NEW: Ok, so Google Maps is now powered by AI. These are the biggest and most advanced updates of the year. 5 new features that change how you navigate and discover places."
RT — "This New AI Agent Just Changed Content Creation — Hedra Agent turns ideas into finished content in one conversation. No templates, no separate tools, no re-prompting from scratch."
(Ai_Report): RT — "The all new Sora 2 is now live on OpenArt - Day 0. 🎬 After testing the Sora API, the biggest unlock for us has been character consistency across scenes."
"Musk added that he and Baris Akis, who works on the xAI talent engineering team, will be 'going through the company interview history and reaching back out to promising candidates.'"
(via @Kawsar_Ai): "There is a staircase of agent automation that most teams try to skip. Skipping it is why so many enterprise agent deployments fail."