▮ "NUNTII EX MACHINA"
DOCUMENTING THE RACE TO AGI

THE
AGENTIC
TIMES_

▮ NEWS_TICKER.LIVE REC
▸ Moderna co-founder Noubar Afeyan calls for AI agent regulation qz.com · 13.10.2026▸ AI Agent Security: Best Practices for Safe Deployment Security Boulevard · 13.10.2026▸ ZoomInfo buys DoubleO.ai to put AI agents to work on sales Dealroom · 13.10.2026▸ Defenders Reluctant to Deploy Agentic AI as a Cybersecurity Tool Infosecurity Magazine · 13.10.2026▸ Datasea's Five AI Agent Customer Arrangements Reach Approximately US$4.0 Million in Aggregate Service Value PR Newswire · 13.10.2026▸ Five customers have received AI services valued at about $4 million from Datasea. Stock Titan · 13.10.2026▸ Nearly Half of Enterprise Threat Intelligence Teams Are Using or Piloting Agentic AI as… PRWeb · 13.10.2026▸ Moderna Founder Calls for Urgent Regulation of AI Agents Bloomberg.com · 13.10.2026▸ Harbor raises $10 million in seed funding to insure AI agent risks theinsurer.com · 13.10.2026▸ Video Anthropic warns AI models could soon copy themselves in small devices ABC News - Breaking News, Latest News and Videos · 13.10.2026▸ AI Agents Could Replace Contact Forms for CRM Lead Capture CRM Buyer · 13.10.2026▸ Anthropic Warns: AI Models May Soon Begin Self-Replication صحيفة مال · 13.10.2026▸ PHAL Launches the World's First Total Hotel Agentic AI Solution, as a Third Top… PR Newswire · 13.10.2026▸ eGain Expands Industry Solutions So AI Agents Can Resolve More Customer Requests in Regulated… markets.businessinsider.com · 13.10.2026▸ Mercor Built An AI Agent To Automate SRE. Here’s What Happened Forbes · 13.10.2026▸ Wilson Sonsini Spinoff SixFifty Launches Employment Law AI Agent Law.com · 13.10.2026▸ Workday's Trusted Agent Platform Now Delivers Headless Access to HR and Finance, Letting Customers… PR Newswire · 13.10.2026▸ AI agents can now search the live web, including sites automated systems struggle to… Stock Titan · 13.10.2026
▮ MODEL_FEED.LIVE REC
▸ ALoDLM-8B Amazon · 8B · 02.10.2026▸ ALoDLM-1.7B Amazon · 1.7B · 02.10.2026▸ DeepSeek-V4.1-Flash DeepSeek · multimodal · 10.09.2026▸ GLM-5.3 Zhipu · Open language model · 25.08.2026▸ granite-4.2-30b IBM · 30B · 07.08.2026▸ Nemotron-Labs-Audex-2B NVIDIA · 2B · 06.07.2026▸ North-Mini-Code-1.0 Cohere · coding · 05.06.2026▸ gemma-4-31B-it-assistant Google · 31B · instruct · 23.04.2026▸ DeepSeek-V4-Pro DeepSeek · Open language model · 22.04.2026▸ tiny-aya-global Cohere · Open language model · 13.02.2026▸ GLM-5 Zhipu · Open language model · 11.02.2026▸ AstaBrief_8B AllenAI · 8B · 09.02.2026▸ GLM-4.7-Flash Zhipu · Open language model · 19.01.2026▸ Olmo-3-7B-Instruct AllenAI · 7B · instruct · 19.11.2025▸ Kimi-K2-Thinking Moonshot · reasoning · 04.11.2025▸ Kimi-Linear-48B-A3B-Instruct Moonshot · 48B · MoE · instruct · 30.10.2025
▮ DISPATCHES / 16.04.2026 · 2 MIN READ

Visa and Mastercard Are Building the Rails for Agentic Commerce

Visa and Mastercard Are Building the Rails for Agentic Commerce

When Visa and Mastercard move in the same direction at the same time, the payments industry listens. In early April both networks announced significant agentic AI expansions that signal a fundamental shift in how transactions will be authorised and executed in the near future.

Visa deployed AI to handle payment disputes and automate corporate bill payments through a new partnership with Ramp. Mastercard, meanwhile, expanded its agentic payments network to Hong Kong, part of a stated ambition to build international infrastructure specifically designed for AI-to-AI commerce — transactions initiated and completed by agents acting on behalf of humans.

That last phrase deserves to sit with you for a moment. AI-to-AI commerce. Not a human instructing an AI to make a purchase. Two AI systems negotiating, authorising, and settling a transaction between themselves.

For business leaders the practical implications are immediate. Expense management, procurement, and supplier payments are the obvious first targets — workflows where the decision rules are clear enough to delegate entirely to an agent. Both Visa and Mastercard are betting that enterprises will want this capability at scale, and they are building the infrastructure now.

The deeper question is one of trust and liability. When an agent makes a purchase that turns out to be fraudulent, erroneous, or simply wrong — who bears responsibility? The card networks are positioning themselves as the answer to that question, embedding governance and dispute resolution directly into the agentic payment layer.

The race to own the financial infrastructure of the agentic economy has quietly begun.

END OF TRANSMISSION ▮ ◂ MORE DISPATCHES