Why Low-Cost AI Adoption Can Create Long-Term Technical & Strategic Debt
AI has entered an unusual phase, one where its perceived cost is falling faster than its actual complexity. Today, enterprises can deploy AI capabilities with unprecedented ease. A product team can integrate a generative AI API in a day. Developers can accelerate output with copilots that require little more than a subscription. This accessibility has created a powerful narrative: AI is now cheap, fast, and easy to adopt. But beneath this surface lies a more complicated truth. Low-cost AI adoption often bypasses the very layers that make AI sustainable at scale, architecture, governance, integration, and context management. What begins as experimentation gradually evolves into dependency. What looks like efficiency in the short term becomes fragmentation in the long term. For leaders navigating this shift, the real question is no longer: ● How rapidly can we use AI? But rather: ● How can we implement AI ...