Payments. AI. Commerce. Decoded. 255 articles and counting.
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Revolut's 2025 results are not a fintech success story. They are evidence that a technology company can build a full-stack financial institution from scratch, reach profitability at scale, and outgrow incumbent banks in their own markets.
Gap is the first major retailer to enable checkout directly inside Google's Gemini AI. The same model that failed for Walmart inside ChatGPT is back, with one critical difference: the merchant retains control.
OpenAI scrapped Instant Checkout and rebuilt ChatGPT as a pure discovery layer. Gap launched checkout inside Google Gemini the same day. The agentic commerce model is converging: AI owns discovery, merchants own checkout.
Visa's Trusted Agent Protocol uses cryptographic signatures to help merchants distinguish trusted AI shopping agents from bots. Open-sourced on GitHub with 12 launch partners including Stripe,...
In a single week, three companies wired three different layers of the commerce stack for AI agents. Discovery, payments, and financial data are now live. The infrastructure era has begun.
Plaid connected brokerage accounts to Perplexity Computer, an AI platform orchestrating 20 frontier models. On the same day, Truist expanded its Plaid partnership. Open banking is becoming the default data layer for AI agents.
Consumers want AI agents to shop for them. They just don't trust them to buy for them. Closing that gap is the defining challenge of 2026.
Marc Andreessen's "zero introspection" isn't a personality quirk. It's the foundational assumption behind a16z's entire AI investment thesis.
Google and Anthropic are both building comprehensive agent platforms, but their strategies are fundamentally different. One builds the infrastructure. The other builds the intelligence inside everyone else's infrastructure.
Coinbase missed Q4 earnings and responded by making AI agent payments its top strategic priority. Here is what it is building, why, and whether the bet pays off before the volume arrives.
The US imported $450 billion in chips and computing hardware in 2025, up 60 percent in 12 months. Every chip crossed a border and settled through a payment rail. The AI boom is a payments story.
Walmart's exclusive data reveals conversion rates three times lower inside ChatGPT than outside it. The pivot to embedded Sparky is a masterclass in where value actually accrues in AI commerce, and a warning for everyone building on someone else's checkout.
Stripe and Tempo launched the Machine Payments Protocol. It settles AI agent payments on cards, stablecoins, BNPL, and bitcoin. The settlement layer war with Coinbase's x402 is now live.
Nvidia's GTC announcements give enterprises a way to sandbox and govern AI agents. But compute-layer security and payment-layer trust are solving different problems, and the gap between them is where disputes will break down.
Payments rails, identity layers, and settlement infrastructure are all being retooled for a world where AI agents spend money. This week, every layer moved at once.
The device intelligence platform launched the first open-source MCP server in the fraud space. Fraud analysts can now query device signals through any AI assistant.
In one week, Anthropic sued the US government, made long-context AI dramatically cheaper, and gave Claude the ability to think in pictures. Here is what it all means.
Fraud losses climbed 9.2 percent in 2025, and artificial intelligence is accelerating both the attack and the defence. The industry is in an arms race it cannot afford to lose.
FedEx plans to embed AI agents into more than 50 percent of its workflows within two years. The architecture it described tells you exactly where enterprise agentic AI is heading.
MCP gives agents hands. Skills give agents judgement. Most teams are building one and wondering why the other is missing.
OpenAI retreated from Instant Checkout. Shopify stepped in with "agentic storefronts" that let merchants sell directly inside ChatGPT. The template for how AI and commerce platforms divide value is now set.
Five weeks ago, we published The $650 Billion Squeeze. The argument was straightforward. Big Tech was writing checks that rivalled national GDPs to build AI infrastructure.
AI has made it easier than ever to publish. It has not made it easier to publish accurately. So we built a tool to close that gap.
Thousands of professionals are training the models that replaced them. Agentic AI may soon replace them again.