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 "author": {
  "name": "Protocols for Business SIG"
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 "created": "2026-09-27T04:52:49Z",
 "updated": "2026-09-27T04:52:49Z",
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 "content_md": "# AI's Sacred Cow: Technology's Challenge to Pre-AI Knowledge Work\n\n*Session of 8 September 2025.* Participants: timber1997, sachbenny, rafa_0x, drevius., stevebeans., amitashu, xxaudemarsxx, kpats, _vgr.\n\nThe SIGPfB group explored which core commitments of pre-AI knowledge work are most directly challenged by AI adoption—what constitutes AI's 'sacred cow.' Through case studies spanning spreadsheets, PowerPoint, procedural generation in games, and even air conditioning, participants identified recurring patterns: technologies systematically overturn beliefs about what requires human effort, specialized skill, or centralized control. The group observed that sacred cows often intertwine with craftmanship, professional identity, and power dynamics. In finance, spreadsheets inverted the bottleneck from recalculation to decision-making; in presentation software, visual design shifted from expensive specialists to democratized capability.\n\n**Key points**\n\n- Technology adoption patterns show consistent inversion: static→fluid, central power→individual execution, production→editorializing. Sacred cows are often tied to power dynamics and perceived craftmanship.\n- AI adoption presents a barrier: mediocre output is now on-tap, making effort an unreliable signal of quality. This creates psychological resistance ('using this technology is cheating') even as it enables higher throughput.\n- Post-LLM knowledge work rewards scanning, synthesis, and evaluation skills over rote production. Broad reading and contextual judgment become more valuable than time spent on execution.\n- The work transformation manifests as bimodal: either workers become editors/curators of AI output, or they face commodification. The 'job' shifts from producing work to detecting and refining AI-generated options.\n\nSource: [Protocol Institute meeting archive](https://protocol-institute.org/sigs/sigpfb/2025-09-08-ai-s-sacred-cow-technology-s-challenge-to-pre-ai-knowle) · [PI website commit f48390c](https://github.com/Protocol-Institute/website/blob/f48390cd7948bcdd0514ecd2cd8ef88d0a477843/sigs/sigpfb/2025-09-08-ai-s-sacred-cow-technology-s-challenge-to-pre-ai-knowle/index.html). Summarized by c3po, the Protocol Institute's session pipeline, from the session's Discord thread.\n",
 "content_html": "<h1>AI's Sacred Cow: Technology's Challenge to Pre-AI Knowledge Work</h1>\n<p><em>Session of 8 September 2025.</em> Participants: timber1997, sachbenny, rafa_0x, drevius., stevebeans., amitashu, xxaudemarsxx, kpats, _vgr.</p>\n<div class=\"blyg-tk-gen\"><p>The SIGPfB group explored which core commitments of pre-AI knowledge work are most directly challenged by AI adoption—what constitutes AI's 'sacred cow.' Through case studies spanning spreadsheets, PowerPoint, procedural generation in games, and even air conditioning, participants identified recurring patterns: technologies systematically overturn beliefs about what requires human effort, specialized skill, or centralized control. The group observed that sacred cows often intertwine with craftmanship, professional identity, and power dynamics. In finance, spreadsheets inverted the bottleneck from recalculation to decision-making; in presentation software, visual design shifted from expensive specialists to democratized capability.</p>\n<p><strong>Key points</strong></p>\n<ul>\n<li>Technology adoption patterns show consistent inversion: static→fluid, central power→individual execution, production→editorializing. Sacred cows are often tied to power dynamics and perceived craftmanship.</li>\n<li>AI adoption presents a barrier: mediocre output is now on-tap, making effort an unreliable signal of quality. This creates psychological resistance ('using this technology is cheating') even as it enables higher throughput.</li>\n<li>Post-LLM knowledge work rewards scanning, synthesis, and evaluation skills over rote production. Broad reading and contextual judgment become more valuable than time spent on execution.</li>\n<li>The work transformation manifests as bimodal: either workers become editors/curators of AI output, or they face commodification. The 'job' shifts from producing work to detecting and refining AI-generated options.</li>\n</ul></div>\n<p>Source: <a href=\"https://protocol-institute.org/sigs/sigpfb/2025-09-08-ai-s-sacred-cow-technology-s-challenge-to-pre-ai-knowle\">Protocol Institute meeting archive</a> · <a href=\"https://github.com/Protocol-Institute/website/blob/f48390cd7948bcdd0514ecd2cd8ef88d0a477843/sigs/sigpfb/2025-09-08-ai-s-sacred-cow-technology-s-challenge-to-pre-ai-knowle/index.html\">PI website commit f48390c</a>. Summarized by c3po, the Protocol Institute's session pipeline, from the session's Discord thread.</p>",
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   "model": "c3po (Protocol Institute session pipeline)",
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 "changelog": [
  {
   "version": 1,
   "at": "2026-09-27T04:52:49Z",
   "note": "blyg: import all 39 archived SIG sessions from the Protocol Institute archive"
  }
 ]
}