AI Is Making Productivity Cheap. So What Becomes Valuable?

It has never been easier to produce.

An email that once took twenty minutes can now be ready in two.

A presentation that required hours can begin with a conversation.

We can research, summarize meetings, analyze information, develop ideas, create content, and organize work in a fraction of the time it used to take.

That should make us significantly more productive.

And it probably does.

But there is a less obvious consequence:

If everyone can produce more, producing more stops being an advantage.

That is where I think the more interesting conversation about AI begins.

We’re Confusing Speed With Value

Much of the conversation around AI still revolves around productivity.

How much time did it save?

How many emails can you write?

How much content can you create?

How many tasks can you automate?

Those are valid questions.

But there is a more important one:

What actually got better?

Because doing something faster does not necessarily make it more valuable.

Imagine it used to take you two hours to create five social media posts.

Now AI lets you create twenty in the same amount of time.

Great.

But if those twenty posts don’t generate conversations, opportunities, customers, authority, or any other meaningful outcome for your business, what did you really gain?

You produced more.

That’s it.

The same applies to emails, reports, presentations, research, and many of the other tasks we are accelerating with AI.

We can become incredibly efficient at doing things that contribute very little.

And the easier those things become to produce, the more tempting it may be to produce even more of them.

So I think the question is changing.

Not just:

What can I do faster with AI?

But:

What is actually worth doing?

AI Is Lowering the Cost of Production

This goes far beyond content.

AI is reducing the cost, in time, effort, and sometimes money, of many forms of knowledge work.

Researching.

Writing.

Analyzing.

Summarizing.

Preparing.

Comparing.

Organizing.

Creating.

And increasingly, executing certain tasks.

That is extraordinary.

But it also creates an inevitable consequence:

When something becomes abundant, simply being able to produce it is no longer enough to differentiate you.

A well-written email no longer necessarily demonstrates exceptional ability.

Neither does a polished presentation.

Neither does a properly structured article.

Even producing large amounts of information may become less valuable when everyone has access to systems capable of producing it.

Production capacity is becoming democratized.

Which makes me think value is beginning to move somewhere else.

So What Becomes More Valuable?

I don’t think there is one answer.

But I see several things becoming increasingly important.

Knowing Which Problem Is Worth Solving

AI can generate a hundred solutions.

That doesn’t mean we identified the right problem.

The ability to ask better questions, understand context, and recognize where a real opportunity exists may become more important than how quickly we can produce an answer.

Judgment

AI can give you options.

It can compare them.

It can even recommend one.

But someone still has to understand the consequences, recognize when important information is missing, and decide what makes sense in a particular situation.

The more answers we have available, the more important it becomes to distinguish a plausible answer from a good decision.

Trust

There are businesses where information is only part of the value.

Real estate is a good example.

A buyer can research properties, compare neighborhoods, estimate costs, and begin the process with AI.

But when hundreds of thousands of dollars are involved, when a negotiation becomes difficult, or when a decision may affect a family for years, trust does not disappear because better technology exists.

What changes is when trust becomes important.

Relationships

AI can help us communicate with more people.

But communication volume and relationship quality are not the same thing.

A CRM can remind me to call someone.

AI can prepare me for the conversation.

It can even remind me what we discussed last time.

But the relationship still depends on what happens when we actually talk.

The Ability to Turn Time Into Something Better

This may be the part that interests me most.

Imagine AI gives you five hours back every week.

What do you do with them?

If you simply use those five hours to produce even more things, perhaps nothing has really changed.

But if you use them to talk to customers, develop relationships, improve an experience, think strategically, learn something new, or create opportunities, then the time savings begin to turn into value.

The real benefit is not necessarily the hours AI eliminates.

It is what you are able to do with the hours you get back.

And Here’s the Paradox

We now have extraordinary technology for producing more.

And we may end up using it to fill our days with even more production.

More content.

More emails.

More meeting summaries.

More documents.

More activity.

More noise.

That isn’t transformation.

It is simply a faster version of the way we already worked.

And this is where the data becomes interesting.

McKinsey reported in 2026 that 80% of respondents in its research said AI had improved individual productivity. Yet only 37% attributed any EBIT impact to AI use within their organizations.

Thomson Reuters found a similar gap in professional services. Organizational GenAI usage reached 40%, nearly twice the previous year, but only 18% of respondents said their organizations were measuring ROI.

The International Labour Organization has also highlighted a related aggregation paradox: productivity gains observed at the task level do not automatically translate into productivity gains across an organization or the broader economy.

That doesn’t mean AI isn’t working.

It means something much more interesting:

Doing the work faster and creating more value are not necessarily the same thing.

The businesses and professionals who gain a real advantage probably won’t be the ones simply using more AI tools.

They will be the ones who learn to distinguish between activity and value.

The ones who can look at a process and ask:

Why are we doing this?

What outcome should it produce?

What part can AI handle?

What should a person still own?

And how will we know whether anything actually improved?

Less Production. More Value.

There is an idea that has become something of a compass for me:

LESS PRODUCTION. MORE VALUE. HIGHER REVENUE.

It doesn’t mean doing less simply for the sake of doing less.

And it doesn’t mean production is bad.

It means productivity should create capacity.

And that capacity should be deliberately invested in something with greater impact.

Because AI will probably continue making it cheaper to produce.

Cheaper to research.

Cheaper to write.

Cheaper to analyze.

Cheaper to create.

And precisely because of that, our advantage cannot depend on production alone.

It will have to come from things that are harder to automate:

understanding what matters,

asking better questions,

exercising judgment,

building trust,

developing relationships,

making decisions,

and turning capacity into results.

Perhaps that is one of the most important business questions of this new stage of AI:

Now that we can do so much more, what actually deserves our time?

A Question for Your Business

Before looking for another AI tool, try something simpler.

Choose one activity you perform every week and ask yourself four questions:

1. What outcome is this activity supposed to produce?

2. Is AI simply helping me do it faster, or is it improving that outcome?

3. If AI gives me time back, what higher-value activity should I invest that time in?

4. What metric would tell me that something actually improved?

Put This Idea to Work in Your Business

If you want to go beyond the question, I created The AI Business Value Test, a practical resource to help you analyze a real activity in your business and determine whether AI is simply helping you produce faster or actually creating capacity and business value.

You don’t need to analyze your entire company.

Choose one recurring activity and use the test to identify what is improving, what capacity you are gaining, and most importantly, what you should do with the capacity AI creates.

Download The AI Business Value Test →

You don’t need to transform your entire business.

Start with one activity.

Because the next big productivity breakthrough may not come from figuring out how to do more.

It may come from figuring out what is still worth doing.

Miguel Humbria — AI Strategy & Business Systems Consultant

Learn more at miguelhumbria.com

LESS PRODUCTION. MORE VALUE. HIGHER REVENUE.