AI Native2026-08-28 10:03:16Ramp’s $44 Billion Valuation and Stripe’s Reported $7 Billion+ OpenRouter Deal Reflect an AI-Native Fintech BetA BlockTempo report citing Simon Taylor argues that Ramp’s $750 million raise at a $44 billion valuation, along with Stripe’s reported purchase of OpenRouter for more than $7 billion, is being driven by something larger than conventional payments growth. The core thesis is that investors are assigning value to new customer jobs created by AI rather than to legacy fintech products alone. Taylor says those new jobs include managing token spend, verifying agent identity, routing inference requests across hundreds of models, and building interfaces that software agents can use efficiently. In his framing, companies such as Ramp and Stripe sit in a favorable position because they already have existing businesses and can add new revenue layers beside them as AI creates adjacent demand. The column also sketches a broader competitive map. Some firms are merely adopting AI to improve old tasks, while others exist only because modern models created entirely new markets. Taylor argues that the next strategic question for fintech is not just whether to add AI features, but whether to own orchestration, control a trusted layer such as identity or settlement, or become the easiest product for outside agent shells to call through APIs and CLI tools.1480
Sequoia China2026-08-13 07:22:00Sequoia’s Li Yannan says AI hardware bets hinge on founders, product autonomy and the path to real economicsAs Unitree Technology moves into the IPO subscription stage and attention turns to the firms that backed it early, Huxiu published an extended interview with Li Yannan, managing director at Sequoia China and one of the earliest investors behind the robotics company. According to the report, Sequoia China was the first institutional shareholder in Unitree to reach a 10% stake and continued to add in later rounds. After dilution from multiple financings, Unitree’s prospectus shows Sequoia China still held more than 7% before the listing, making it the company’s second-largest institutional investor. In the interview, Li laid out a broad framework for evaluating AI hardware. He argued that truly AI-native devices are not defined by simply connecting to a model, but by whether they gain new autonomy — the ability to stay on long enough to sense, understand and act, rather than wait for a user prompt. He also said smartphones are unlikely to disappear soon, but their role will shift from the single gateway to the core node in a multi-device system. On business models, Li warned startups not to assume they must lose money on hardware and make it back later on software subscriptions. He also said data alone may not be a durable moat, and that a more telling market risk signal would be a visible slowdown in model capability gains. Throughout, Li returned to the same principle: early-stage investing still starts with judging people.1940
AI Native2026-07-23 14:55:157 Ways to Become AI Native in 2026: Ditch Typing, Deploy Agent Armies to Take Over Your PCA foreign media roundup of 7 AI Native productivity hacks for 2026, covering voice input, AI agent armies, custom tone clones, and shared knowledge engines to supercharge workplace output.610