{"id":8984,"date":"2026-08-12T23:40:01","date_gmt":"2026-08-12T15:40:01","guid":{"rendered":"https:\/\/moresourcing.com\/ai-makes-building-easy-choosing-what-to-build-is-harder\/"},"modified":"2026-08-12T23:40:01","modified_gmt":"2026-08-12T15:40:01","slug":"ai-makes-building-easy-choosing-what-to-build-is-harder","status":"publish","type":"post","link":"https:\/\/moresourcing.com\/ar\/ai-makes-building-easy-choosing-what-to-build-is-harder\/","title":{"rendered":"AI Makes Building Easy. Choosing What to Build Is Harder."},"content":{"rendered":"<p><\/p>\n<div>\n<p class=\"Paragraph-module-scss-module__UwInRW__text\" data-first-paragraph=\"true\">AI tools are powerful enough to make\u00a0<a href=\"https:\/\/sms.onlinelibrary.wiley.com\/doi\/10.1002\/smj.70103\" class=\"ContentLink-module-scss-module__qKDjGa__anchor\">solo-founding<\/a>\u00a0increasingly viable, and allow innovators with no technical skills to create functional products. The solo builder concept is playing out not only in startups, but also in bigger organizations as AI adoption grows. AI has commoditized execution across the innovation lifecycle:\u00a0<a href=\"https:\/\/www.lennysnewsletter.com\/p\/a-guide-to-ai-prototyping-for-product\" class=\"ContentLink-module-scss-module__qKDjGa__anchor\">product managers build working prototypes<\/a>\u00a0without touching a line of code and\u00a0<a href=\"https:\/\/www.anthropic.com\/research\/estimating-productivity-gains\" class=\"ContentLink-module-scss-module__qKDjGa__anchor\">developers accelerate software development, testing, documentation, and data manipulation<\/a>.<\/p>\n<\/div>\n<p><script async=\"\" defer=\"\" crossorigin=\"anonymous\" src=\"https:\/\/connect.facebook.net\/en_US\/sdk.js#version=v19.2&amp;appId=1761258887507575&amp;xfbml=false&amp;status=true\"><\/script><\/p>\n<p>#Building #Easy #Choosing #Build #Harder<\/p>","protected":false},"excerpt":{"rendered":"<p>AI tools are powerful enough to make\u00a0solo-founding\u00a0increasingly viable, and allow innovators with no technical skills to create functional products. The solo builder concept is playing out not only in startups, but also in bigger organizations as AI adoption grows. AI has commoditized execution across the innovation lifecycle:\u00a0product managers build working prototypes\u00a0without touching a line of [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-8984","post","type-post","status-publish","format-standard","hentry","category-management"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.7.1 (Yoast SEO v25.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI Makes Building Easy. Choosing What to Build Is Harder. - MORE SOURCING LTD<\/title>\n<meta name=\"description\" content=\"AI is making it possible for individuals with little technical expertise to build sophisticated products, raising questions about whether collaboration is becoming less important. Observations from an AI-enabled innovation challenge suggest the opposite. As AI accelerates research, coding, and prototyping, teams create the most value during problem definition and solution design, where diverse perspectives help challenge assumptions and refine ideas. Fast prototypes become tools for learning rather than finished products, making debates more concrete and exposing weaknesses early. Managers should protect time for defining problems, use prototypes to improve thinking instead of simply validating solutions, and build teams around complementary perspectives rather than technical specialties. 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As AI accelerates research, coding, and prototyping, teams create the most value during problem definition and solution design, where diverse perspectives help challenge assumptions and refine ideas. Fast prototypes become tools for learning rather than finished products, making debates more concrete and exposing weaknesses early. Managers should protect time for defining problems, use prototypes to improve thinking instead of simply validating solutions, and build teams around complementary perspectives rather than technical specialties. 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