[{"data":1,"prerenderedAt":116},["ShallowReactive",2],{"profile":3,"writing-build-buy-or-rent-intelligence":14},{"name":4,"role":5,"tagline":6,"location":7,"contact":8},"Sankar Vema","AI Builder & Architect of Agentic Systems","I help enterprise leaders turn AI ambition into capability that actually ships.","India · open to global advisory engagements",{"email":9,"linkedin":10,"github":11,"blog":12,"twitter":13},"sankar.vema@gmail.com","https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fsankarvema\u002F","http:\u002F\u002Fsankarvema.github.io\u002F","http:\u002F\u002Fsankarvema.blogspot.com\u002F","https:\u002F\u002Ftwitter.com\u002Fsansvema",{"id":15,"title":16,"body":17,"date":101,"description":23,"draft":102,"excerpt":103,"extension":104,"meta":105,"navigation":106,"path":107,"seo":108,"slug":109,"status":103,"stem":110,"tags":111,"__hash__":115},"writing\u002Fwriting\u002Fbuild-buy-or-rent-intelligence.md","Build, Buy, or Rent Intelligence",{"type":18,"value":19,"toc":93},"minimark",[20,24,29,32,55,58,62,65,69,90],[21,22,23],"p",{},"Every enterprise faces the same question with AI, and most answer it badly: do we\nbuild it, buy it, or rent it. It is not one decision, it is a decision per layer,\nand getting it right is the difference between owning a compounding asset and paying\na rising bill for a capability that never becomes yours.",[25,26,28],"h2",{"id":27},"the-three-layers","The three layers",[21,30,31],{},"Think of your AI stack in three layers, and decide each separately.",[33,34,35,43,49],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"The model."," Almost always rent. The frontier moves too fast and costs too much\nto build your own, and a general model is not where your advantage lives anyway.\nRent it, and keep the freedom to swap it.",[36,44,45,48],{},[39,46,47],{},"The workflow and product."," Almost always build. This is the part specific to\nyou: your process, your integrations, your edge cases. It is where the value and\nthe defensibility live. Do not outsource your moat.",[36,50,51,54],{},[39,52,53],{},"The data and evals."," Always own. Your proprietary data, and the evaluation loop\nthat measures and improves your system, are the compounding asset. Whoever owns\nthis owns the advantage in three years. Never rent it, never give it away inside a\nvendor's platform.",[21,56,57],{},"The most common and most expensive mistake is inverting this: renting the workflow\n(a generic tool everyone has) while giving away the data (into the vendor's system).\nThat is renting your moat and selling your advantage, in one move.",[25,59,61],{"id":60},"the-test-for-each-layer","The test for each layer",[21,63,64],{},"Ask: does this layer compound, and is it specific to us? If yes to both, own it. If\nit is fast-moving, capital-intensive, and generic, rent it. If it is specific but not\ncore, buy it and integrate. Run every AI decision through that filter.",[25,66,68],{"id":67},"what-to-do-now","What to do now",[70,71,72,78,84],"ol",{},[36,73,74,77],{},[39,75,76],{},"Rent the model, keep it swappable."," Avoid architectures that lock you to one\nvendor's weights.",[36,79,80,83],{},[39,81,82],{},"Build the workflow and own the data."," That is where durable return lives.",[36,85,86,89],{},[39,87,88],{},"Watch for the inversion."," If a vendor's pitch has you renting the workflow and\nfeeding them your data, you are on the wrong side of every layer.",[21,91,92],{},"Build vs buy was always really a question about where to own the compounding asset.\nRent made it three-sided, and easier to get wrong. So layer by layer: what are you\nbuilding, what are you renting, and are you sure you did not swap the two?",{"title":94,"searchDepth":95,"depth":95,"links":96},"",3,[97,99,100],{"id":27,"depth":98,"text":28},2,{"id":60,"depth":98,"text":61},{"id":67,"depth":98,"text":68},"2026-08-01",false,null,"md",{},true,"\u002Fwriting\u002Fbuild-buy-or-rent-intelligence",{"title":16,"description":23},"build-buy-or-rent-intelligence","writing\u002Fbuild-buy-or-rent-intelligence",[112,113,114],"cxo","strategy","architecture","fTIL6309fvNlj00qWvUoQCtXAkFUX_iQ6Z-ln3QeCec",1790601541655]