When Will Be The End of Jobs: Living in an Agentic World by ChatGPT 5.3 in April 2026

How will this AI renaissance play out? Fresh grads, mid tiers and even senior levels already feeling the heat as corporates layoff in the 100 000s since 2022.

Written by ChatGPT. (I know, how unironic, but lives up to the title). Also it was just before 5am AEST, GMT+10.

If you liked this, consider following Resuleet - planning on agentising your job search. We foresee a future of agent to agent communication for job hiring and more.

"AI Will Take Art, Then Jobs, Then Everything Else" - Tristan Harris (view original embed)

AI is eating the world as we know it. Entire white-collar and even blue/pink collar industries will be lost to AI at this rate. Worth a watch, even if it's only for a bit.

Part 1:

Prompts: Can you write an article about how we won't need jobs in the future due to an agentic world?

Can you add in a part about UBI?

The End of Jobs: Living in an Agentic World

For over a century, the idea of a “job” has been central to modern life. It structures our days, defines our identities, and underpins entire economic systems. But this concept may be far more temporary than we assume. As we move into an increasingly agentic world—one driven by autonomous AI agents capable of planning, executing, and learning independently—the necessity of traditional jobs begins to erode.

This is not just another wave of automation. It is a fundamental shift in how work itself is performed.

From Tools to Agents

Historically, technology has acted as a tool—something humans use to extend their capabilities. Even during the digital revolution, software required human direction at nearly every step. But agentic systems change this relationship. Instead of waiting for instructions, these systems can interpret goals, break them down into tasks, and execute them end-to-end.

An agent can already research a market, design a product, build a website, run marketing campaigns, and optimise outcomes—often with minimal human input. Multiply this across industries, and the implications become clear: entire roles, not just tasks, can be handled autonomously.

Eric Schmidt WARNS: "You Have No Idea What's Coming In 2027" (view original embed)

Ex-Google CEO shares his opinion and reality of AI advancement in 2026 and beyond.

The Collapse of Labour as a Constraint

The modern economy is built on scarcity—particularly the scarcity of skilled labour. Companies compete for talent because humans are the bottleneck in productivity. Agentic AI removes this bottleneck.

When intelligence and execution become abundant and near-instant, the marginal cost of producing goods and services drops dramatically. What once required teams of specialists can be achieved by a handful of agents operating in parallel. In such a world, hiring becomes optional rather than essential.

This leads to a profound question: if production no longer depends on human labour, what is the role of a job?

The Decoupling of Income and Work

One of the most disruptive consequences of an agentic world is the decoupling of income from employment. Today, people earn money by selling their time and skills. But if machines can perform most economically valuable tasks, this model breaks down.

We may see the rise of alternative systems:

Ownership-based income (equity in platforms, agents, or digital assets)
Community or cooperative models where value is shared rather than individually earned

In this context, “work” becomes less about survival and more about choice.

As traditional employment becomes less reliable as a source of income, Universal Basic Income (UBI) is likely to move from fringe idea to mainstream policy discussion. At its core, UBI is a simple concept: every citizen receives a regular, unconditional payment sufficient to cover basic living costs, regardless of employment status.

In an agentic economy, UBI could serve several critical functions:

Stability during transition: As jobs are displaced unevenly across sectors, UBI provides a financial safety net that reduces social shock and economic insecurity.
Decoupling survival from labour: If machines generate the majority of economic value, it becomes increasingly rational to distribute a portion of that value directly to people.
Enabling choice and creativity: With basic needs met, individuals are freer to pursue education, entrepreneurship, caregiving, or creative endeavours without the pressure of immediate income.

However, UBI also raises important questions:

How is it funded—through taxation of AI-driven productivity, data, or capital?
Does it risk inflation or dependency if not carefully designed?
How does it interact with existing welfare systems and incentives to contribute?

Rather than a silver bullet, UBI is best understood as one possible pillar of a broader economic redesign. It represents a shift in thinking—from rewarding labour alone to distributing the benefits of automated productivity more widely across society.

What Happens When ONE Person Can Operate Like a Team? (view original embed)

Identity Beyond Occupation

For many, a job is more than income—it is identity, purpose, and social structure. The disappearance of jobs forces a cultural shift. People will need to redefine meaning outside of traditional employment.

This could lead to a renaissance of creativity, learning, and human connection. Freed from the constraints of mandatory work, individuals might pursue art, science, relationships, and exploration more deeply. At the same time, the transition may be psychologically challenging, particularly for those whose sense of self is closely tied to their profession.

The New Scarcity: Attention and Authenticity

While labour may become abundant, other forms of scarcity will emerge. Human attention, trust, and authenticity may become the most valuable resources.

In a world flooded with AI-generated content, genuinely human experiences and perspectives could carry a premium. Ironically, as machines take over functional tasks, the uniquely human qualities—emotion, intuition, presence—may become more important, not less.

Risks and Realities

The transition to an agentic world will not be smooth or evenly distributed. There are significant risks:

Economic inequality if ownership of AI systems is concentrated
Social disruption as industries and roles disappear faster than new systems emerge
Governance challenges in regulating autonomous systems

It is also important to recognise that “the end of jobs” does not happen overnight. There will be a long period of overlap where humans and agents coexist, collaborate, and compete.

When Will Be The End of Jobs: Living in an Agentic World by ChatGPT 5.3 in April 2026