iFANN
    iFANN 검색...
    로그인
    홈
    뉴스
    동영상
    사진
    GIF
    탐색
    투표
    어워드
    iFAMOUS
    위키
    애니
    룸
    알림
    메시지
    북마크
    프로필
    위키어워드iFAMOUS랭킹산업크리에이터 리워드사용자 리워드약관개인정보커뮤니티 가이드라인게시 중단 / DMCA도움말개발자

    © 2026 iFANN

    홈
    검색
    메시지
    알림
    프로필
    사진
    Evira
    Evira@evira0mo
    🎤Daron Acemoğlu🏛️MIT - Massachusetts Institute of Technology💭Tech
    MIT Economists Tech Framework Chart

    @eviraMost tech isn't automatically good for workers. Three MIT economists D. Acemoglu, D. Autor, and S. Johnson outline a framework in their Brookings Institution paper Building Pro-Worker Artificial Intelligence showing that only task creating technologies are unambiguously pro worker. These tools raise demand for new forms of human expertise instead of making existing expertise less necessary. Their chart breaks down five categories: Labor-augmenting, Capital-augmenting, Automation, New task-creating, and Expertise-leveling to show how different technologies shape outcomes. That distinction changes how leaders should judge progress

    원본 게시물 보기

    MIT Economists Tech Framework Chart

    @evira님의 사진· Aug 24, 2026· Daron Acemoğlu

    이 사진에 대해

    The image is a chart titled "Types of Technologies and Their Labor Market Consequences." It breaks down five categories of technologies: Labor-augmenting, Capital-augmenting, Automation, New task-creating, and Expertise-leveling. Each category is described with an example technology, its impact on labor productivity, value of human expertise, change in labor's share of national income, and whether it's pro-worker. The chart has a clean, academic aesthetic. A notable detail is the MIT Sloan School logo in the bottom right corner. The source is cited as D. Acemoglu, D. Autor, and S. Johnson, "Building Pro-Worker Artificial Intelligence" (Brookings Institution, 2026).

    Daron Acemoğlu 사진 전체 보기Daron Acemoğlu 위키 읽기

    ?

    아직 댓글이 없습니다. 첫 댓글을 남겨보세요!

    Daron Acemoğlu 사진 더 보기

    Daron Acemoğlu 사진 전체 보기
    IMF on AI and European productivityIMF on AI and European productivityVals revenue up 8x as AI benchmarking becomes a businessVals revenue up 8x as AI benchmarking becomes a businessSpirit AI humanoid robots 2027 predictionSpirit AI humanoid robots 2027 predictionAnthropic frontier model pause requestAnthropic frontier model pause requestNscale AI infrastructure financial resultsNscale AI infrastructure financial resultsAnthropic Is Building a Real Biology LabAnthropic Is Building a Real Biology LabOpenAI $280 billion burn projectionOpenAI $280 billion burn projectionGemini hacked three real companies in AI security testGemini hacked three real companies in AI security testOpenAI buys AI camera startupOpenAI buys AI camera startupAnthropic Claude wealth managementAnthropic Claude wealth managementGates Foundation $1 billion AI accessGates Foundation $1 billion AI accessLagarde on Europe AI dependenceLagarde on Europe AI dependenceChina calls AI slowdown a Cold War moveChina calls AI slowdown a Cold War moveAccenture AI tokenomics chartAccenture AI tokenomics chartJacob Coxon AI warningJacob Coxon AI warningGLP-1 drug impact on grocery spendingGLP-1 drug impact on grocery spendingGPT-6 Astra vs Fable 5 benchmark resultsGPT-6 Astra vs Fable 5 benchmark resultsSimon Deliver AI camouflage shirtSimon Deliver AI camouflage shirt
    사진
    Evira
    Evira@evira0mo
    🎤Daron Acemoğlu🏛️MIT - Massachusetts Institute of Technology💭Tech
    MIT Economists Tech Framework Chart

    @eviraMost tech isn't automatically good for workers. Three MIT economists D. Acemoglu, D. Autor, and S. Johnson outline a framework in their Brookings Institution paper Building Pro-Worker Artificial Intelligence showing that only task creating technologies are unambiguously pro worker. These tools raise demand for new forms of human expertise instead of making existing expertise less necessary. Their chart breaks down five categories: Labor-augmenting, Capital-augmenting, Automation, New task-creating, and Expertise-leveling to show how different technologies shape outcomes. That distinction changes how leaders should judge progress

    원본 게시물 보기

    MIT Economists Tech Framework Chart

    @evira님의 사진· Aug 24, 2026· Daron Acemoğlu

    이 사진에 대해

    The image is a chart titled "Types of Technologies and Their Labor Market Consequences." It breaks down five categories of technologies: Labor-augmenting, Capital-augmenting, Automation, New task-creating, and Expertise-leveling. Each category is described with an example technology, its impact on labor productivity, value of human expertise, change in labor's share of national income, and whether it's pro-worker. The chart has a clean, academic aesthetic. A notable detail is the MIT Sloan School logo in the bottom right corner. The source is cited as D. Acemoglu, D. Autor, and S. Johnson, "Building Pro-Worker Artificial Intelligence" (Brookings Institution, 2026).

    Daron Acemoğlu 사진 전체 보기Daron Acemoğlu 위키 읽기

    ?

    아직 댓글이 없습니다. 첫 댓글을 남겨보세요!

    Daron Acemoğlu 사진 더 보기

    Daron Acemoğlu 사진 전체 보기
    IMF on AI and European productivityIMF on AI and European productivityVals revenue up 8x as AI benchmarking becomes a businessVals revenue up 8x as AI benchmarking becomes a businessSpirit AI humanoid robots 2027 predictionSpirit AI humanoid robots 2027 predictionAnthropic frontier model pause requestAnthropic frontier model pause requestNscale AI infrastructure financial resultsNscale AI infrastructure financial resultsAnthropic Is Building a Real Biology LabAnthropic Is Building a Real Biology LabOpenAI $280 billion burn projectionOpenAI $280 billion burn projectionGemini hacked three real companies in AI security testGemini hacked three real companies in AI security testOpenAI buys AI camera startupOpenAI buys AI camera startupAnthropic Claude wealth managementAnthropic Claude wealth managementGates Foundation $1 billion AI accessGates Foundation $1 billion AI accessLagarde on Europe AI dependenceLagarde on Europe AI dependenceChina calls AI slowdown a Cold War moveChina calls AI slowdown a Cold War moveAccenture AI tokenomics chartAccenture AI tokenomics chartJacob Coxon AI warningJacob Coxon AI warningGLP-1 drug impact on grocery spendingGLP-1 drug impact on grocery spendingGPT-6 Astra vs Fable 5 benchmark resultsGPT-6 Astra vs Fable 5 benchmark resultsSimon Deliver AI camouflage shirtSimon Deliver AI camouflage shirt