Gary Marcus argues that China has made significant progress in AI and technology, catching up to or surpassing the US in key areas. He suggests that US policymakers have been overly focused on safety concerns while neglecting the competitive threat posed by China's rapid advancements.
Background
- Gary Marcus is a prominent AI researcher and critic of deep learning, known for his 2018 book *Rebooting AI* and frequent skeptical takes on large language models like ChatGPT.
- The piece assesses the state of US–China AI competition following major Chinese AI labs (e.g., DeepSeek, Alibaba's Qwen) releasing models that match or approach GPT-4-class performance.
- "China catches up" refers to the narrowing gap between frontier US models (OpenAI, Google) and Chinese alternatives, which had previously lagged significantly.
- Marcus often argues that hype around US AI may obscure real strategic risks — including China's efficient hardware use, talent base, and top-down industrial policy.
- The backdrop includes US export controls on advanced AI chips (NVIDIA A100/H100) to China, which the piece likely argues have been only partially effective in slowing Chinese progress.
Productivity growth in America has surged unexpectedly, driven by rapid adoption of AI and automation across industries. This "productivity miracle" is boosting economic output without corresponding inflation, though its long-term sustainability and impact on jobs remain uncertain.
U.S. labor productivity surged by 4.3% year-over-year in early 2026, driven by rapid adoption of AI and automation across industries. This unprecedented growth boosts wages and corporate profits without fueling inflation, challenging previous economic assumptions. The productivity boom gives the Federal Reserve room to maintain steady monetary policy while the economy expands.
America is experiencing a surge in productivity growth, driven by rapid adoption of artificial intelligence and other technologies. This productivity miracle is boosting economic output without proportionally increasing labor input, helping to keep inflation in check even as the job market remains strong.
The article argues that the US is undergoing a remarkable productivity boom, driven largely by rapid adoption of AI and automation technologies. This surge is boosting economic output and corporate profits even as employment growth slows, challenging earlier fears that technological advancements would fail to deliver measurable gains in efficiency.
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