The New IT Sprawl Is AI Sprawl
For decades, IT leaders have fought the same battle under different names.
Application sprawl.
Server sprawl.
VM sprawl.
Cloud sprawl.
The pattern is always the same.
A new technology emerges. Adoption accelerates. Teams move quickly. Individual decisions make sense in isolation. Then one day leadership steps back and realizes nobody has a complete picture of what’s actually running inside the organization.
We’re watching that happen again.
Only this time, it’s AI.
Every week brings another model, another agent framework, another AI assistant, another platform promising to transform productivity.
And organizations are responding exactly as expected.
Teams are experimenting. Developers are building. Business units are testing. Vendors are selling. Innovation is happening everywhere. The challenge isn’t innovation.
The challenge is coordination.
Many organizations now have AI initiatives happening simultaneously across multiple departments, often without a shared framework for governance, data ownership, security, cost management, or long-term strategy.
The result is what I would call AI sprawl. Not because AI is bad. Not because experimentation is wrong. But because complexity accumulates faster than most organizations realize.
One team adopts a model. Another team adopts a different model. A third team purchases an AI-powered application. A fourth team begins building agents connected to enterprise data.
Each decision seems reasonable.
Collectively, they create a new layer of operational complexity. This is where the conversation gets interesting. Most discussions about AI focus on capability.
What can AI do?
How fast can we deploy it?
Which model is best?
How many agents can we build?
Those are important questions.
But they’re not the only questions.
Who owns the strategy?
Who owns governance?
Who decides where AI creates value?
Who ensures we’re solving business problems instead of collecting AI tools?
Because eventually every organization discovers the same truth:
Technology without direction creates noise.
Technology aligned to purpose creates progress.
The companies that succeed in the AI era won’t necessarily be the ones with the most AI.
They’ll be the ones with the clearest sense of why they’re using it in the first place.
Technology keeps accelerating.
Leadership’s job is still the same.
Create clarity.
Provide direction.
Help people navigate complexity before complexity starts navigating them.