Your People Are Getting Faster With AI. Is Your Business Keeping Up?

"One person saves five hours with AI. Someone else spends five hours making sense of with what they produced. Who's measuring that?"

We're starting to see an unexpected consequence of businesses getting better at AI.

Someone becomes genuinely proficient. Work that previously took days gets done in hours. A team starts producing better analysis, faster proposals and more detailed reports.

That's exactly what we've been encouraging. But what happens to the people receiving all that additional work?

Some of it is excellent. Some of it is AI-generated noise that nobody needed in the first place. Either way, someone has to deal with it.

We're making individuals dramatically more productive. But are we making the businesses around them any more effective?

When faster work lands on someone else’s desk

AI capability is developing remarkably quickly in the businesses we work with. Someone who was experimenting a few months ago can suddenly be producing work that previously required several people.

Consider what happens downstream.

Imagine a sales team that previously took four hours to prepare a proposal. With AI, they can now produce one in thirty minutes.

Finance still needs to check the pricing. Management still needs to approve it. Operations still needs to confirm the business can deliver.

The sales team can produce several proposals in the time it previously took to produce one.

But everyone else is operating at the same speed. The work starts piling up. Now consider someone who's discovered how easily AI can generate reports and recommendations.

They're producing twenty pages where five would have done. Forwarding analysis nobody requested. Creating material that someone else has to read, check and make sense of.

In the first example, the additional work might be genuinely valuable. In the second, much of it might be unnecessary. But the person receiving it faces the same problem.

More information. More decisions. More work competing for their attention.

And sometimes figuring out which material is worth taking seriously becomes a job in itself.

When productivity becomes someone else's problem

This is where the human consequences start appearing.

One employee is excited about how much time they're saving. Meanwhile, their colleague is becoming overwhelmed by the additional work arriving. The first person feels they're making extraordinary progress. The second feels they're being buried.

And if leadership celebrates the productivity gains without understanding what's happening downstream, resentment can build.

There's a quality problem too.

When people become overwhelmed with information, they start skimming. Decisions get delayed. Important details get missed. Recommendations get accepted without the scrutiny they deserve.

The technology might be working perfectly well. People are becoming more capable. But the business isn't necessarily performing any better.

We've accelerated one part of the operation without considering whether the rest can keep up.

Start looking at the whole business

For the last couple of years, much of the focus has been on helping individuals become more capable with AI. That remains important. But as capability develops, the leadership challenge changes.

A business is a connected system. Work moves between people, departments and decisions. Accelerating one part doesn't necessarily improve the performance of the whole.

And with AI, that imbalance can develop remarkably quickly. One person or department can make an enormous leap in capability while the surrounding organisation takes considerably longer to adapt.

So I'd encourage business leaders to start asking two questions.

1. Where does the work go next?

When someone demonstrates an impressive AI productivity gain, follow the work.

Who receives it? Who needs to review it? Where does it wait? Does it create additional work for somebody else? And what happens to the customer at the end?

A proposal that takes thirty minutes to prepare but still takes three days to approve hasn't necessarily delivered the improvement you expected.

Look at the entire process, not just the person who produced the work.

Sometimes the next bottleneck needs more capability. Sometimes the answer is a simpler approval process, clearer responsibilities or better coordination. And sometimes the best solution has nothing to do with AI.

2. Does all this additional output need to exist?

AI has made producing information almost effortless. That doesn't mean every report, analysis or recommendation deserves somebody else's attention.

Before generating more material, ask who needs it, what decision it supports and how much detail is necessary. A five-page recommendation that someone can understand and act on may be far more valuable than a twenty-page report they never finish reading.

This is just as important for your most capable AI users as it is for beginners.

Being able to produce more doesn't mean you should.

 

The next productivity measure

 

We're going to see increasingly large differences in AI capability between individuals, teams and departments. That's an extraordinary opportunity, but it changes what leaders need to pay attention to.

The measure of success can't simply be how many hours individuals are saving. We need to understand whether those gains are reaching the rest of the business.

Are decisions happening faster? Are customers getting better outcomes? Is work actually disappearing, or is it quietly landing on somebody else's desk?

So the next time someone tells you how many hours they've saved using AI, ask one more question. What happened to the work afterwards?

The real productivity gain isn't what AI saves one person. It's what the whole business gains as a result.

Find out whether your AI gains are reaching the rest of the business

Most businesses can tell you who’s saving time with AI. Few know where that extra output lands, or whether it’s making someone else’s job harder.

The 5 Minute AI Risk Snapshot shows you where your AI use is improving how the whole business works, and where it’s speeding up one person while the work piles up elsewhere. You’ll get a personalised report with practical next steps.

Take the 5-Minute AI Risk Snapshot

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About the Author 

Mark Lucas is Co-founder and Managing Partner at Generation AI, where we help New Zealand business leaders build real AI capability.

Information provided is general in nature and does not constitute legal advice