The Purpose Problem

Why the systems that last will be the ones that keep the human element core.

“Give a man a dole … and you save his body and destroy his spirit. Give him a job and you save both body and spirit.” — Harry Hopkins

By Bryan J. Kaus

A great deal of the discussion around artificial intelligence, universal basic income, and the future of work is too shallow.

Not because the disruption is imaginary.

It isn’t.

And not because the financial risks are trivial.

They aren’t.

But because too much of the debate begins with productivity and ends with income replacement, as though the central question is simply how many roles can be compressed, how many salaries can be removed, and how large a transfer may be needed to keep the system calm.

That is not the only question.

And in many ways, it is not even the right one.

The more serious question is this:

What happens when a society begins solving for efficiency while quietly stripping away purpose?

That, to me, is where the real issue begins.

The Simplification at the Center of the Debate

There is a growing temptation among policymakers, technologists, and corporate leaders to treat the next phase of disruption as though it were mainly a distribution problem.

If automation displaces enough workers, then the answer, we are told, is straightforward: provide some form of basic income, stabilize demand, reduce unrest, and move on.

Neat. Elegant. Technocratic.

And far too thin.

Because income is not the only thing work provides.

Work is not merely a mechanism for distributing cash. It is one of the principal ways people build competence, organize time, earn respect, develop identity, and remain tied to a broader civic and economic order. Brookings makes the point plainly: work is not just a source of income, but also of identity and self-esteem, and the factors most associated with meaningful work — autonomy, relatedness, and competence — matter far more than compensation and benefits alone.

That is why the thinner versions of the UBI debate feel incomplete to me.

Not because material support is unimportant. It is. Food matters. Shelter matters. Stability matters. Any serious person should be able to admit that social fracture becomes more likely when large numbers of people lose economic footing at once.

But too much of the conversation assumes that the primary human loss from disruption is wages.

In many cases, the deeper loss is role.

Why This Debate Is No Longer Theoretical

This is not purely academic anymore.

Reuters has reported that 2026 has already brought another wave of major layoffs tied to efficiency pushes and rising adoption of artificial intelligence tools. Amazon confirmed it would cut roughly 16,000 corporate roles in January. Block cut nearly half its staff, with CEO Jack Dorsey pointing explicitly to AI tools and smaller teams. Meta is reportedly planning layoffs that could affect 20% or more of its workforce as it offsets massive AI infrastructure spending. Atlassian cut roughly 10% of its workforce as it pivots toward AI and enterprise sales.

That does not prove AI is a fraud.

It is not.

Nor does it prove labor markets will never adjust.

Historically, they often do.

But it does tell us something important: we are no longer talking about a hypothetical future in which intelligent systems might begin to alter the labor equation. The adjustment is already underway in boardrooms, budget reviews, and operating models.

And once that is true, the question becomes larger than whether some kind of support will be needed.

The question becomes whether a society can remain healthy when a growing share of its people are treated as economically redundant.

The Human Question Beneath the Economic One

This is where the discussion becomes less fashionable and more serious.

For all the utopian talk that technology will free humanity for leisure, creativity, and self-actualization, there is a harder reality that tends to get ignored: many people do not flourish in the absence of structure.

They drift.

They detach.

They lose confidence.

They lose standards.

They lose the reinforcing experience of solving problems, being counted on, and seeing evidence that they matter to the functioning of the world around them.

That is not a moral judgment.

It is a systems observation.

A healthy society does not run on purchasing power alone. It also runs on responsibility, discipline, aspiration, routine, and the quiet dignity that comes from being useful.

The same society that celebrates freedom often underestimates how much of social order depends on shared routines of contribution. Work may be imperfect. Many jobs are tedious. Some deserve to be automated. Some organizational structures absolutely need to be redesigned.

But a society that removes work without replacing purpose is not becoming more advanced.

It is becoming more fragile.

What the Cash Research Actually Suggests

Even some of the research around unconditional cash points in this direction.

OpenResearch found that recipients of unconditional cash transfers were slightly less likely to be employed and worked an average of 1.3 fewer hours per week than control participants. At the same time, recipients were more likely to be actively searching for a job, and among job seekers were more likely to say that interesting or meaningful work was an essential condition of any job they would accept.

That is an important nuance.

The point is not that direct support has no place.

The point is that giving people cash does not erase the human desire for useful, meaningful contribution.

The body may be sustained.

The deeper need to matter remains.

We Have Seen Versions of This Before

History does not repeat exactly.

But it does rhyme, often uncomfortably.

When communities lose their productive base, the damage is rarely confined to wages. What tends to disappear along with the jobs is pride, continuity, confidence, institutional memory, and the local sense that effort leads somewhere.

That is one reason this debate cannot be reduced to whether a monthly payment is enough to keep households solvent.

Solvency matters.

It is not the whole story.

During periods of deep economic rupture, the challenge was never only how to preserve bodies. It was also how to preserve spirit. That was the deeper insight behind work-relief logic during the Depression. As Harry Hopkins put it, direct relief might save the body, but a job could save both body and spirit.

One need not romanticize every New Deal program to understand the force of that point.

The issue was never just sustenance.

It was purpose.

Why This Is Not Really About AI Alone

This is also why I do not think this should be treated as an AI story alone.

AI is simply the newest and most visible catalyst.

The broader issue is how modern institutions think.

For years, leaders have been trained to see labor primarily as cost, process primarily as throughput, and technology primarily as a tool for compression. So when a new capability appears that can draft, summarize, compare, classify, synthesize, code, and automate, the first instinct is often not institutional design.

It is labor subtraction.

How many fewer people?

How much faster?

How much cheaper?

How soon?

Those are not illegitimate questions.

But they are incomplete ones.

Because an institution can become leaner while also becoming hollower. A company can improve short-term efficiency while weakening long-term capability. A society can become more productive on paper while becoming less stable in practice.

That is the part many of the loudest voices still underestimate.

A Safety Net Is Not a Civilization

To be clear, this is not an argument against support.

Transitions can be brutal. Markets do not allocate pain evenly. Families cannot eat theory. There may well be periods where direct assistance is necessary, justified, and unavoidable.

Fine.

But we should be careful not to confuse emergency cushioning with a durable social philosophy.

A safety net is a support structure.

It is not a vision of human flourishing.

And when universal basic income is presented as though it were a sufficient answer to widespread displacement, it often reveals an oddly diminished view of the person. It assumes that if the check clears, the deeper problem is solved.

I do not think that is true.

Because people do not live by consumption alone.

They need structure.

They need competence.

They need responsibility.

They need to matter.

What Serious Leaders Should Actually Be Building

This is where the leadership question comes in.

The obligation of leadership is not merely to manage displacement after the fact. It is to design systems that preserve dignity through contribution.

That means building organizations and economies in which technology increases capability without quietly erasing the human role altogether.

Some jobs should disappear.

Some tasks should be automated.

Some workflows should absolutely be redesigned.

But serious leaders should not be asking only how many roles can be removed. They should also be asking what new systems of value can be built in which people remain useful, accountable, and capable.

That is a very different posture.

It points toward augmentation rather than blind subtraction.

It points toward hybrid operating models in which machines increase leverage but people remain close to judgment, accountability, exception handling, relationship management, and the messy reality of execution.

It points toward educational models built around competence rather than generic credential accumulation.

It points toward skilled trades, infrastructure, local enterprise formation, industrial capability, care work, technical oversight, and other forms of contribution that keep people attached to real responsibility rather than passive dependence.

In other words, the real design problem is not how to preserve every legacy role.

It is how to modernize without hollowing ourselves out.

The Deeper Leadership Failure

For years, executives have said that people are their greatest asset.

Yet when pressure rises, the language often shifts quickly: rationalization, flattening, optimization, redeployment, efficiency.

Some of that language is unavoidable. Leaders do have to allocate capital responsibly. Not every role should be preserved. Not every structure deserves to survive.

But if AI becomes a moral cover for headcount reduction without a serious reckoning with the broader social implications, then we should be honest about that.

Efficiency is not the same thing as stewardship.

A company may be entirely rational in deciding it needs fewer people.

But if enough institutions make that same decision at once, the result stops being a firm-level productivity story.

It becomes a societal one.

And societies cannot be managed indefinitely as though they were spreadsheets.

The Point Taken:

The real risk in an AI-shaped economy is not simply that machines may do more work.

It is that leaders may begin treating human beings as though income were the only thing work was ever for.

That is wrong economically, wrong socially, and wrong at the level of basic human nature.

Yes, societies may need stronger safety nets during periods of disruption.

But a safety net is not a substitute for purpose, and a transfer is not a substitute for dignity.

The harder challenge — and the more important one — is building institutions, industries, and systems of value in which technology increases productivity while human beings still develop mastery, still carry responsibility, and still believe they have a meaningful stake in the future.

The leaders who matter most in the next era will not be the ones who replace people fastest.

They will be the ones who build systems in which more capable people, supported by better tools, create more value without losing the human substance that made the system worth building in the first place.

Because the moment a society starts solving only for efficiency, it risks discovering too late that what it optimized away was not merely labor.

It was meaning.