In detail
- McKinsey forecasts IT infrastructure costs will grow two to three times by 2030 while budgets remain flat—a prime use case for agents.
- Tech experts report high confidence in deploying agents for AI, data, and cloud tasks.
- Main bottleneck: agents lack sufficient business context; the more complex the task, the more reasoning capability and contextual understanding they need—these capabilities are still early-stage.
Why it matters
If you want to deploy AI agents in IT infrastructure, understand that technical capability alone is insufficient—without clear business rules and clean data, agents become expensive sources of error.
For you Before deploying agents for IT tasks, invest in data preparation and document your business rules explicitly—otherwise agents will become costly liabilities.