[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"scribble-the-ai-adoption-gap-b18ab357":3},{"id":4,"title":5,"user_id":6,"is_anonymous":7,"tags":8,"created_at":16,"updated_at":16,"storage_path":17,"is_public":18,"linked_scribbles":19,"previous_scribble":20,"next_scribble":20,"is_draft":7,"related_scribbles":21,"slug":22,"author_name":23,"author_username":24,"body":25,"linked_articles":26,"related_articles":27,"reverse_relation_map":68},"b18ab357-b4c2-4d4e-b23d-395a2c3d0100","The AI Adoption Gap","ff91778b-54c7-4d14-8f0c-9652e6b5021a",false,[9,10,11,12,13,14,15],"artificial intelligence","ai","ai maturity model","ai adoption stages","enterprise ai","business strategy","ai investment","2025-12-31T07:47:08.177894+00:00","ff91778b-54c7-4d14-8f0c-9652e6b5021a/bb5937e8-3cd9-4075-b38a-7db7d8075715.md",true,[],null,[],"the-ai-adoption-gap-b18ab357","Itih","itih","I was looking at enterprise adoption data. And I noticed something odd.\n\nThere are three completely different groups of companies.\n\n**Group 1: AI Beginners** (about 59% of enterprises)\n\nThese companies have AI pilots. Maybe they've deployed one or two things. But they're still figuring it out. No measurement. No governance. No strategy. They're in exploration mode.\n\n**Group 2: AI Advanced** (about 32% of enterprises)\n\nThese companies have implemented AI at scale. Multiple systems. Some governance. They're starting to measure ROI. They have strategies.\n\n**Group 3: AI Leaders** (about 9% of enterprises)\n\nThese companies have comprehensive AI strategies. Robust measurement. Governance frameworks. Continuous optimization. And they're reporting 3.2x higher productivity gains than beginners.\n\nHere's the weird part. These three groups aren't converging.\n\nYou'd think Group 1 would naturally advance to Group 2, which would advance to Group 3.\n\nBut it's not happening. The gap is actually widening.\n\nBecause once you're in Group 3, you have advantages that are hard to catch up on.\n\nYou have the data. You have the talent. You have the governance frameworks. You have the integrations. You have the muscle memory.\n\nGroup 1 companies are spending money on pilots. Group 3 companies are spending money on scaling and optimization. Both are spending the same amount. But Group 3 is getting 3x better results.\n\nSo what's going to happen to Group 1 companies?\n\nI think some will get stuck. They'll keep doing pilots forever. Costs will exceed benefits. They'll reduce investment.\n\nSome will jump to Group 2. They'll hire consultants. They'll buy platforms. They'll commit to real implementation.\n\nBut jumping from Group 1 to Group 2 is expensive. It requires organizational change. It requires commitment.\n\nSo we're going to have a bifurcated market. Group 1 and 2 companies will gradually reduce AI spending. Group 3 companies will increase it and pull further ahead.\n\nThis creates a winner-take-most dynamic. The companies that figured out AI first will have a structural advantage for the next decade.",[],[28,32,36,40,44,48,52,56,60,64],{"id":29,"title":30,"slug":31},"3ef1be12-915f-417c-b4c9-c1aedd9048be","A Comprehensive Analysis of Big Tech Depreciation: Amazon.com, Inc","a-comprehensive-analysis-of-big-tech-depreciation-amazon-com-inc-3ef1be12",{"id":33,"title":34,"slug":35},"a0196843-b10b-4df9-8f47-fb72e0652901","A Comprehensive Analysis of Big Tech Depreciation: Alphabet Inc","a-comprehensive-analysis-of-big-tech-depreciation-alphabet-inc-a0196843",{"id":37,"title":38,"slug":39},"dc7937db-b59e-43bc-b8d4-9060d1b21360","A Comprehensive Analysis of Big Tech Depreciation: Meta Platforms, Inc","a-comprehensive-analysis-of-big-tech-depreciation-meta-platforms-inc-dc7937db",{"id":41,"title":42,"slug":43},"7e29ba1a-e289-4b1b-ab03-293b8932f167","A Comprehensive Analysis of Big Tech Depreciation: Microsoft Corporation","a-comprehensive-analysis-of-big-tech-depreciation-microsoft-corporation-7e29ba1a",{"id":45,"title":46,"slug":47},"dc4595c1-4f2f-4f00-8c74-8256efd1e935","The Empirical Evidence","the-empirical-evidence-dc4595c1",{"id":49,"title":50,"slug":51},"d04575d8-af9d-45d2-a284-3e96aeb52ad3","The Cannibalization of the Silicon Kings","the-cannibalization-of-the-silicon-kings-d04575d8",{"id":53,"title":54,"slug":55},"9571dc73-e002-4a06-8c8f-ae4f0c4a4acd","The 1.2 Gigawatt Gamble","the-1-2-gigawatt-gamble-9571dc73",{"id":57,"title":58,"slug":59},"7ed59681-19e9-47f4-8060-9e582da41b50","Companies Deployed AI Without Checking If It Works","companies-deployed-ai-without-checking-if-it-works-7ed59681",{"id":61,"title":62,"slug":63},"360b06c6-998e-4d43-9d6b-8d349428268b","Companies Can't Keep Up with AI Model Upgrades","companies-can-t-keep-up-with-ai-model-upgrades-360b06c6",{"id":65,"title":66,"slug":67},"362c71c9-30f7-4712-a038-96a688a401fc","Developers Prefer Claude for Coding","developers-prefer-claude-for-coding-362c71c9",{}]