Research · MIT Technology Review
A viral GitHub project that claims to clone coworkers into a reusable AI skill is forcing Chinese tech workers
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Key facts
- SWE-bench Verified, a software engineering benchmark for AI models, saw top scores jump from around 60% in 2024 to almost 100% in 2025
- According to a 2025 study by economists at Stanford, employment for software developers aged 22 to 25 has fallen nearly 20% since 2022
- Correction (April 16): The Stanford AI Index incorrectly stated that the estimated annual water use from running OpenAI's GPT-4o may exceed the drinking water needs of 12 million people
- The 2026 AI Index from Stanford University’s Institute for Human-Centered Artificial Intelligence, AI’s annual report card, comes out today and cuts through some of that noise
Summary
If you’re following AI news, you’re probably getting whiplash. Despite predictions that AI development may hit a wall, the report says that the top models keep getting better. People are adopting AI faster than they picked up the personal computer or the internet. All that speed comes at a cost. AI data centers around the world can now draw 29.6 gigawatts of power, enough to run the entire state of New York at peak demand. In a long, heated race with immense geopolitical stakes, the US and China are almost neck and neck on AI model performance, according to Arena, a community-driven ranking platform that allows users to compare the outputs of large language models on identical prompts. In February 2025, R1, an AI model built by the Chinese lab DeepSeek, briefly matched the top US model, ChatGPT. The index notes that the US and China have different AI advantages.