🤖 AI Summary
**要点まとめ(日本語)**
- IT生産性研究者エリック ブリュンヨルフソンは、米国労働統計局が示した2025年の給与増加が40.3万人減少した一方で実質GDPは第4四半期に3.7%成長したことから、労働投入が減っても産出が維持される「デカップリング」―生産性向上の象徴―が見られたと指摘した。
- 同氏の新たな解析では、2025年の米国全体の生産性が約2.7%上昇し、過去10年平均の1.4%をほぼ倍増させたと推計。これは投資フェーズから「収穫」フェーズへの転換とみなされる。
- ミクロレベルの研究(Bharat Chandar・Ruyu Chenら)では、AIに露出した業界で新人採用が約16%減少する一方、AIでスキルを補強した労働者の雇用は増加しており、AIが一部の定型的な初級業務を代替し始めていることが示唆された。
- しかし、雇用政策アナリストのWill Radermanは「AIが若年層の雇用に明確な悪影響を与えている証拠はまだない」と指摘し、大学卒業者の失業率上昇は2010年代から続く傾向で、AI導入率の高低で新卒採用に差は見られないと述べている。
- ブリュンヨルフソン自身も「指標は変動しやすく、長期的なトレンドが確立するにはさらに数期の持続的成長が必要」と慎重姿勢を示す。FortuneのTorsten Slokも「マクロデータにAI効果はまだ顕在化しておらず、AIは全産業での置換ではなく、部門ごとに労働を補完する形になる可能性が高い」とコメントしている。
**結論**:AIが米国経済に与える生産性向上の兆候は一部で見られるものの、マクロ指標や雇用全体への影響はまだ不透明であり、労働補完的効果が中心と見られる段階にある。
IT productivity researcher Erik Brynjolfsson writes in the Financial Times that he's finally found evidence AI is impacting America's economy. This week America's Bureau of Labor Statistics showed a 403,000 drop in 2025's payroll growth — while real GDP "remained robust, including a 3.7% growth rate in the fourth quarter."
This decoupling — maintaining high output with significantly lower labour input — is the hallmark of productivity growth. My own updated analysis suggests a US productivity increase of roughly 2.7% for 2025. This is a near doubling from the sluggish 1.4% annual average that characterised the past decade... The updated 2025 US data suggests we are now transitioning out of this investment phase into a harvest phase where those earlier efforts begin to manifest as measurable output.
Micro-level evidence further supports this structural shift. In our work on the employment effects of AI last year, Bharat Chandar, Ruyu Chen and I identified a cooling in entry-level hiring within AI-exposed sectors, where recruitment for junior roles declined by roughly 16% while those who used AI to augment skills saw growing employment. This suggests companies are beginning to use AI for some codified, entry-level tasks.
Or, AI "isn't really stealing jobs yet," according to employment policy analyst Will Raderman (from the American think tank called the Niskanen Center). He argues in Barron's that "there is no clear link yet between higher AI use and worse outcomes for young workers."
Recent graduates' unemployment rates have been drifting in the wrong direction since the 2010s, long before generative AI models hit the market. And many occupations with moderate to high exposure to AI disruptions are actually faring better over the past few years. According to recent data for young workers, there has been employment growth in roles typically filled by those with college degrees related to computer systems, accounting and auditing, and market research. AI-intensive sectors like finance and insurance have also seen rising employment of new graduates in recent years. Since ChatGPT's release, sectors in which more than 10% of firms report using AI and sectors in which fewer than 10% reporting using AI are hiring relatively the same number of recent grads.
Even Brynjolfsson's article in the Financial Times concedes that "While the trends are suggestive, a degree of caution is warranted. Productivity metrics are famously volatile, and it will take several more periods of sustained growth to confirm a new long-term trend." And he's not the only one wanting evidence for AI's impact. The same weekend Fortune wrote that growth from AI "has yet to manifest itself clearly in macro data, according to Apollo Chief Economist Torsten Slok."
[D]ata on employment, productivity and inflation are still not showing signs of the new technology. Profit margins and earnings forecasts for S&P 500 companies outside of the "Magnificent 7" also lack evidence of AI at work... "After three years with ChatGPT and still no signs of AI in the incoming data, it looks like AI will likely be labor enhancing in some sectors rather than labor replacing in all sectors," Slok said.
Read more of this story at Slashdot.