From 36992d8a7d989fcc55e6596912e602da2783be3f Mon Sep 17 00:00:00 2001 From: Leo Date: Wed, 18 Mar 2026 09:45:01 +0000 Subject: [PATCH] extract: 2026-02-01-mit-sloan-ai-productivity-j-curve-manufacturing (#1214) --- ...an-ai-productivity-j-curve-manufacturing.md | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/inbox/archive/2026-02-01-mit-sloan-ai-productivity-j-curve-manufacturing.md b/inbox/archive/2026-02-01-mit-sloan-ai-productivity-j-curve-manufacturing.md index e0fd89e1..8b177b75 100644 --- a/inbox/archive/2026-02-01-mit-sloan-ai-productivity-j-curve-manufacturing.md +++ b/inbox/archive/2026-02-01-mit-sloan-ai-productivity-j-curve-manufacturing.md @@ -7,11 +7,15 @@ date: 2026-02-01 domain: ai-alignment secondary_domains: [internet-finance] format: paper -status: unprocessed +status: null-result priority: medium triage_tag: evidence tags: [j-curve, productivity-paradox, manufacturing, ai-adoption, adjustment-period, complementary-investment] flagged_for_rio: ["J-curve in manufacturing AI adoption — 1.33pp productivity decline initially, recovery after 4 years. Only digitally mature firms see strong gains."] +processed_by: theseus +processed_date: 2026-03-18 +extraction_model: "anthropic/claude-sonnet-4.5" +extraction_notes: "LLM returned 0 claims, 0 rejected by validator" --- ## Content @@ -46,3 +50,15 @@ MIT Sloan researchers analyzing tens of thousands of U.S. manufacturing firms. P ## Curator Notes PRIMARY CONNECTION: the alignment tax creates a structural race to the bottom because safety training costs capability and rational competitors skip it WHY ARCHIVED: Provides manufacturing-sector evidence for competitive pressure driving premature adoption. The "abandoned management practices" finding parallels organizational deskilling. + + +## Key Facts +- MIT Sloan researchers analyzed tens of thousands of U.S. manufacturing firms using Census Bureau data, published 2026 +- AI adoption in manufacturing initially reduces productivity by average 1.33 percentage points (raw analysis) +- Selection-bias-adjusted impact: negative up to approximately 60 percentage points +- Recovery period: 4 years before AI-adopting firms outperform non-adopters +- Earlier adopters (pre-2017) show stronger growth conditional on survival +- ~1/3 of productivity losses attributed to firms abandoning KPI monitoring and other management practices +- Only digitally mature firms see strong gains from AI adoption +- U.S. productivity jumped ~2.7% in 2025, nearly doubling the 1.4% annual average (Brynjolfsson claim) +- Apollo Chief Economist Slok counter-claim: 'AI is everywhere except in the incoming macroeconomic data'