{"id":9166,"date":"2026-03-04T13:52:04","date_gmt":"2026-03-04T13:52:04","guid":{"rendered":"https:\/\/musictechohio.online\/site\/the-honeymoon-phase-wont-last-preparing-for-ais-platform-shift\/"},"modified":"2026-03-04T13:52:04","modified_gmt":"2026-03-04T13:52:04","slug":"the-honeymoon-phase-wont-last-preparing-for-ais-platform-shift","status":"publish","type":"post","link":"https:\/\/musictechohio.online\/site\/the-honeymoon-phase-wont-last-preparing-for-ais-platform-shift\/","title":{"rendered":"The Honeymoon Phase Won\u2019t Last: Preparing for AI\u2019s Platform Shift"},"content":{"rendered":"
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I am old enough to remember the early days of the internet. It was a time when blogs were everywhere and information felt decentralized. Before the giant platforms and their <\/span>algorithms<\/b>, the web felt like a collection of independent voices. We had <\/span>chronological feeds<\/b> we controlled, not algorithmic ones controlled by someone else.<\/span><\/p>\n

AI is still in the honeymoon phase, when platforms over-deliver to build adoption. Internet history tells us what typically follows. Right now there\u2019s a mad rush to lock users into a specific model, a specific app, a specific workflow. I get why companies are doing it. But the best models today are often comparable for real workloads, and open-weight options are close enough that tying yourself to one vendor\u2019s roadmap is a choice, not a necessity. I\u2019ve always preferred to keep my options open: use open tools when I can, swap components when I need to, and avoid building around the assumption that any one platform will always treat me well.<\/span><\/p>\n

What follows is a set of early warning signs. Think of them as \u201cdon\u2019t repeat the internet\u201d signals for teams building AI products.<\/span><\/p>\n

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