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Navveen Balani Making systems intelligent, efficient & responsible

AI Skill = Capability × Efficiency

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AI Skill = Capability × Efficiency

Today’s AI agents are measured by what they can do.
Can they search?
Can they reason?
Can they write code?
Can they use tools?
Can they collaborate with other agents?

But as enterprises move from deploying a handful of agents to orchestrating thousands, capability alone is no longer enough.

An AI agent that delivers the same business outcome with:

  • 80% fewer tokens
  • Fewer tool calls
  • Lower latency
  • Less compute
  • Lower cost
  • Reduced energy consumption …isn’t just more efficient. It’s more skilled.

Perhaps it’s time to redefine what we mean by an AI skill.

AI Skill = Capability × Efficiency

Efficiency shouldn’t be treated as an optimization after deployment. It should be taught as a first-class skill—enabling agents to know when to use a smaller model, when to stop reasoning, when to reuse existing knowledge, and when another tool call simply adds cost without adding value.

In my latest Technology Bytes, I explore why the future of Agentic AI won’t belong to agents that think the longest—it will belong to agents that know when they have thought enough.

I’d love to hear your perspective.
Should efficiency become a first-class AI skill, measured alongside accuracy and reasoning?

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