Write a Twitter thread (X thread) about the very latest AI news, formatted as follows: 1. **First tweet (hook):** * Spark curiosity with a provocative question or surprising statement about AI today. * Tease that you'll share several must-know developments in the thread. * Keep it ≤280 characters and avoid hashtags. 2. **Subsequent tweets (one per news item):** For each: * **Headline/Context (concise):** A short phrase identifying the development (e.g., “Major breakthrough in multimodal models”). * **Key insight:** State the single most important takeaway or implication (“It can now generate lifelike videos from text prompts, potentially transforming content creation.”). * **Why it matters / curiosity angle:** A brief note on impact or a rhetorical question that encourages engagement (“Could this replace human editors?”). * **Brevity:** Stay within 280 characters total. * **Tone:** Informational yet conversational and shareable—use an emoji or casual phrasin

AI feels unstoppable right now: one report says models are still improving, the money is surging, and the chip supply behind it all is getting tighter. Here are the biggest AI moves you should know today.^[6]

TSMC just posted a 58% jump in first-quarter profit, with revenue hitting NT$1.134 trillion as AI chip demand stayed "extremely robust." The company now expects 2026 revenue to grow more than 30%.^[4]

Stanford's 2026 AI Index says AI use is racing ahead: 53% of people worldwide now use generative AI, and global corporate AI investment hit $581.7 billion in 2025. Adoption is moving faster than the PC or the internet.^[5]

The same report flags a warning sign: employment for software developers aged 22 to 25 has fallen nearly 20% since 2024, even as older developers grow. AI gains are starting to show up first in entry-level jobs.^[5]

China has nearly erased the U.S. lead in AI model performance, according to Stanford's 2026 AI Index. The gap in top-model rankings has shrunk to just 2.7%, while China still leads in publications, citations, and robots.^[10][5]

California is moving its own AI rulebook forward. Gov. Newsom's order says the state will review federal risk labels itself, while pushing guardrails for state employees and vetted GenAI tools.^[11]