{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreiekf7q4uwtvi3ugpe3xyvh5bn3rdif7nzxt3qcirweo3viqsfb6tu",
    "uri": "at://did:plc:c4uo5im4kb23i76qndr43xi2/app.bsky.feed.post/3mhlszm5gk2y2"
  },
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreickgxuzzzx7bzdb2omjzsyq7fdi3a57tczbdik7nhb63zv3wfmoce"
    },
    "mimeType": "image/webp",
    "size": 297988
  },
  "path": "/links/ai-productivity-paradox-ceo-study-robert-solow-information-technology-age",
  "publishedAt": "2026-03-21T04:00:00.000Z",
  "site": "https://jonathanstephens.us",
  "tags": [
    "Economic Data",
    "Productivity",
    "The Future Of Work",
    "Generative Ai",
    "Llms",
    "Ai Slop",
    "Labor",
    "Job Market",
    "Layoffs"
  ],
  "textContent": "> Slok cited a slew of academic studies on AI and productivity, painting a contradictory picture about the utility of the technology. Last November, the Federal Reserve Bank of St. Louis published in its State of Generative AI Adoption report that it observed a 1.9% increase in excess cumulative productivity growth since the late-2022 introduction of ChatGPT. A 2024 MIT study, however, found a more modest 0.5% increase in productivity over the next decade.",
  "title": "Thousands of executives aren't seeing AI productivity boom, reminding economists of IT-era paradox"
}