AI agents could outspend humans, Coinbase CEO says
Coinbase CEO Brian Armstrong sees AI agent payments outgrowing humans as x402 records 75M monthly transactions and Base leads USDC use soon.
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AI agents are evolving from answering questions to taking actions inside browsers. They can now open pages, click buttons, fill forms, extract data, and automate multi step workflows across websites. Moonshot AI’s Kimi WebBridge brings this capability to Chrome and Edge, allowing local AI agents to safely interact with real browser sessions. In this article, […] The post Kimi WebBridge: Hands-on Guide to Kimi’s Browser Extension for AI Agents appeared first on Analytics Vidhya.
Read full articleCoinbase CEO Brian Armstrong sees AI agent payments outgrowing humans as x402 records 75M monthly transactions and Base leads USDC use soon.
Redis' Iris could accelerate enterprise AI adoption by bridging data retrieval gaps, enhancing efficiency, and reducing infrastructure costs. The post Redis launches Iris, a context and memory platform for AI agents appeared first on Crypto Briefing.
For years, enterprise data conversations centered on platforms. Which warehouse? Which lakehouse? Which cloud? In my recent Forbes pieces, “Beyond The Enterprise Data Platform: Why Ecosystems Win” and “How ERP Data Fits Into The Enterprise Data Ecosystem,” I argued that the more important question is no longer which platform wins. It is how the enterprise designs the ecosystem around data, applications, workflows, and governance. That question is becoming more urgent because AI agents are starting to act on enterprise data, not just analyze it. They are recommending actions, triggering workflows, engaging customers, and influencing decisions at a speed where manual review cannot be the only control. That changes the role of data management. Clean, governed, and trusted data is no longer a back-office requirement. It determines whether artificial intelligence can operate within the business without creating more risk than value. That is the lens for Informatica World 2026. The event sho
AEON raised $8m led by YZi Labs to build an AI-native settlement layer, using its x402 protocol on BNB Chain to let agents pay 50m+ merchants via on-chain receipts. AEON has completed an $8 million pre-seed funding round to build…
AI's rapid advancement in finance reshapes job roles, emphasizing AI collaboration skills over traditional technical expertise, impacting market dynamics. The post Citadel CEO Ken Griffin says AI agents complete complex finance tasks in days appeared first on Crypto Briefing.
Aptos Foundation commits $50M to Decibel DEX, Shelby storage, and zero-knowledge research as AI agents move closer to running money onchain. Block times at 28 milliseconds. That number arrived quietly on May 12. Aptos didn’t make a scene about it. The same week, Aptos on X confirmed that Aptos Foundation and Aptos Labs had committed […] The post Aptos Just Rewired Its Entire Stack for AI – Here’s What $50M Buys appeared first on Live Bitcoin News.
The post App days are numbered: The end state of software will be private, personal, verified, and AI agent-built appeared on BitcoinEthereumNews.com. Make CryptoSlate preferred on AI agents could end the app era by turning software into verified, user-built systems AI agents may make running code written by strangers one of those behaviors that later generations struggle to process. A society can normalize a risk for decades, then later reclassify it as reckless once a safer default becomes available. Drinking before driving, riding without seatbelts, smoking indoors, and installing arbitrary binaries from the internet all belong to the same family of historical blind spots. The common feature is social permission. The behavior persists when the alternative is costly, inconvenient, or technically unavailable. Once the safer path becomes cheap and routine, the old path begins to look irrational. AI agent verification could replace software trust assumptions with attested execution path
Vercel Labs has released Zero, an experimental systems programming language designed so AI agents can read, repair, and ship native programs without requiring human interpretation of compiler output. The language emits JSON diagnostics with stable codes and typed repair metadata, enforces capability-based I/O at compile time, and compiles to sub-10 KiB native binaries. The post Vercel Labs Introduces Zero, a Systems Programming Language Designed So AI Agents Can Read, Repair, and Ship Native Programs appeared first on MarkTechPost.