I’m optimistic. Not because I think everyone is about to stop working. I think something more practical is happening.
AI will change jobs faster than it eliminates them.
The “computer” will do more of the process. People will spend more time supervising, deciding, creating, talking with customers, solving problems, and finding new opportunities.
That could change office work in a very positive way.
The future I want is NOT producing twice as much by making everyone work twice as hard.
Producing twice as much and while feeling less rushed.
Here are the eight ideas that shape how I think about the future of work.
1. The Computer Should Do More of the Work
Most office workers still spend an enormous amount of time operating computers.
Opening files.
Moving information.
Preparing reports.
Searching.
Updating systems.
Writing routine communications.
Checking what changed.
Following up.
AI is beginning to handle more of this work, and I expect that capability to grow substantially over the next five to ten years.
That is the opportunity.
The computer should increasingly carry the repetitive production work while the person remains responsible for direction and results.
The goal is not to make people operate computers faster.
The goal is to make the computer do more.
2. AI Will Change Jobs Faster Than It Eliminates Them
Layoffs happen.
They happened before AI and they will continue to happen.
Companies restructure.
They cut costs.
They overhire and later correct.
Markets change.
Products fail.
Leadership changes direction.
Margins get squeezed.
Sometimes technology really does remove the need for a particular job.
But I am skeptical when every layoff at a company investing in AI is immediately described as an AI layoff.
There is an important difference between:
“This company is using AI while reducing headcount.”
and
“AI directly replaced these workers.”
Those are not automatically the same thing.
I expect some jobs to disappear because of automation. But I think the larger near-term change will happen inside the job.
Software will perform more of the process.
People will supervise more of it.
The work changes before the worker necessarily disappears.
3. Supervision Becomes a Major Part of Office Work
This may become one of the defining office skills of the next decade.
Give direction.
Let the software work.
Inspect the result.
Correct what matters.
Approve the important action.
Handle the exception.
Then move on.
That is different from the way most people use computers today.
Today, we still manually operate almost every step.
Over time, one person may supervise an amount of workload that previously required several people to manually produce.
That does not require everyone to become a programmer.
It requires people to become good supervisors of increasingly capable software.
4. More Productivity Should Mean Less Rush
For years, businesses have treated productivity as speed.
More emails.
More meetings.
More clients.
More reports.
More output.
Faster.
I think AI gives us an opportunity to change that definition.
Imagine a company handling twice the workload it handled four years ago without making everyone feel twice as busy.
The systems do more.
The people rush less.
That is real productivity.
A productive company should be able to finish the work without everyone constantly feeling behind.
AI should increase capacity faster than it increases pressure.
5. The Best AI Tools Remove Work
I do not want people spending the next decade managing complicated AI systems all day.
That misses the point.
A useful AI tool should remove unnecessary tasks.
Reduce searching.
Reduce copying.
Reduce repetitive reporting.
Reduce administrative work.
Reduce unnecessary clicking.
Reduce the number of things people have to remember.
If an AI tool creates another dashboard somebody has to constantly monitor, then we may have built the wrong thing.
If it requires endless prompting, maintenance, and correction, it may simply become another time sink.
I use a simple test:
Does it save time, create value, or make money?
If not, why are we using it?
6. Use the Extra Capacity for Better Work
When AI saves time, the business gains something extremely valuable.
Capacity.
What should we do with it?
Some companies will immediately think about reducing labor.
That is one option.
But it is far from the only option.
The extra capacity could go into work that businesses rarely have enough time to do properly.
Research and Development.
New products.
New offers.
Better customer relationships.
Sales.
Partnerships.
New markets.
Training.
Mergers and Acquisitions.
Experiments.
The next 10x opportunity.
AI does not only make the existing work faster.
It creates room for all of the work that was not getting done at all.
That may prove much more valuable.
7. The Future Office Should Feel Calmer
Imagine starting work at 10:00 AM.
The routine reports are already prepared.
Important changes have been identified.
Research is organized.
Follow-ups are ready.
The work that requires human attention has been flagged for review.
You inspect what happened.
Make a few decisions.
Correct something.
Approve the important work.
And then you have something modern office workers rarely have enough of.
Time.
Time for a useful meeting.
Time to talk with a customer.
Time to research a new market.
Time to improve an offer.
Time to think about a new product.
Time to investigate an acquisition.
Time to find the next growth opportunity.
Maybe you take a two-hour lunch.
Go for a walk.
Exercise.
Talk through an idea.
Then come back, finish the important work, and leave at 5:00.
The business may be producing twice what it produced four years ago.
But the people are not racing through every hour.
That is the office I want AI to create.
8. Less Computer. More Life.
There is another problem we should avoid.
AI can produce almost unlimited output.
Twenty ideas.
Thirty recommendations.
Ten pages of strategy.
More output is not always more intelligence.
Sometimes it is simply more work for the person who has to review it.
That is one reason I use the Rule of Four.
Four signals.
Four ideas.
Four decisions.
Four actions.
Keep the system understandable.
AI should create clarity, not overwhelm.
And ultimately, we do not want better AI so we can spend even more of our lives staring at computers.
We want better AI so the computer can eventually work six feet away.
You talk to it.
Ask what happened.
Give direction.
Review the important result.
Then return your attention to another person, a customer, a whiteboard, a walk, or your life.
That is what Less Computer. More Life. means to me.
It is not anti-AI.
It is the reason to build better AI.
The computer should become capable enough that we need to operate it less.
The Future Is Bright
I do not believe optimism means pretending disruption will not happen.
Some jobs will change dramatically.
Some roles will disappear.
New ones will appear.
Companies will make good decisions and bad ones.
That is normal technological change.
My position is simpler.
Do not panic.
Be patient.
Be engaged.
Pay attention to what is actually happening.
Build useful tools.
Avoid unnecessary complexity.
Let the computer carry more of the process.
Keep the human responsible for direction, judgment, relationships, creativity, and outcomes.
Use the extra capacity to build better companies.
Finish the work.
Go home at five with a clear mind.
The future of AI does not have to mean people working harder to keep up with machines.
It could mean something much better.
The computer does more.
The founder has more room to think, create, decide, and live.
Less Computer. More Life.