AI Agents Are Set to Triple in Enterprise — And 80% of the Work Has Nothing to Do with AI

According to MIT Technology Review, enterprise AI agent adoption is set to triple over the next two years as companies move beyond chatbots to deploy autonomous systems that execute multi-step workflows without human intervention. The 300% growth projection sounds clean on a slide. The engineering reality behind it is messier.

An engineer who shipped fraud-detection agents at a $62 million company put it plainly: the model and its prompts consumed 20% of build time. The remaining 80% went to deciding who gets notified when the agent flags something, how decisions get logged, what the escalation path looks like, and how to connect the whole thing to existing business tools. None of that work is interesting. All of it is necessary.

The pattern mirrors a broader trend: AI is increasingly capable at the core task and increasingly dependent on surrounding human infrastructure to make that capability useful. The companies racing to ship production agents in 2026 are learning that building a product around an AI model is still just building a product. The boring part is where most AI projects go to die.

Read the full story at Reddit r/artificial