The question of what humans will do when AI takes over is becoming harder to ignore. AI jobs future discussions are moving beyond chatbots and software, as robots, AI agents and advanced automation begin entering physical workplaces and knowledge-based professions.
Harsh Goenka, chairman of RPG Enterprises, recently raised exactly this uncomfortable question through a post on X. He described a possible future where humanoid robots handle physical labour while artificial general intelligence, or AGI, handles knowledge work. In his view, AI agents could build businesses, large language models could create applications, and AI systems might even help build newer AI systems within seconds.
Harsh Goenka Raises Big Question
Goenka’s comment was not simply another warning about automation taking a few jobs. It went much further than that because he asked what humans would actually do if machines became capable of handling most productive work.
That question sounds almost like science fiction, although several parts of that future are already being tested today. Companies are using AI for coding, customer service, research, design, data analysis and other office tasks, while robotics continues improving inside factories, warehouses and logistics operations.
The interesting part is not only whether machines can perform these tasks. The bigger issue involves what happens to people’s income, purpose and social position when traditional employment becomes less important.
For decades, having a job has been connected with much more than receiving a salary. Work provides routine, identity, social interaction and a feeling that someone’s contribution matters. If automation changes that relationship, society may need to rethink several basic assumptions about employment.
Robots Could Change Physical Labour
The rise of humanoid robots makes the discussion even more interesting because AI is no longer limited to computer screens. Machines are increasingly being designed to move, observe surroundings, pick objects, transport materials and perform repetitive physical activities.
Goenka specifically pointed toward humanoid robots replacing physical labour in the future. His earlier predictions about jobs also included factory workers, drivers and other professions that could be affected by increasing automation.
Factories are an obvious place where automation can grow because repetitive operations are easier for machines to handle consistently. A robot does not need lunch breaks, and software does not get tired after checking thousands of records.
Still, completely replacing human labour is considerably harder than automating individual tasks. Real workplaces contain unexpected problems, maintenance requirements, safety concerns and situations where human judgment remains valuable.
So the more realistic near-term possibility may involve humans working alongside robots rather than simply disappearing from factories overnight.
Knowledge Work Faces Pressure Too
The bigger shock could come from knowledge work because AI systems are improving rapidly at tasks once considered highly dependent on human intelligence.
Writing software, preparing reports, analysing documents, summarising information and producing marketing material can already be assisted by AI tools. More capable AI agents could eventually perform several connected tasks without requiring constant human instructions.
That does not automatically mean every programmer, writer, lawyer or analyst will lose employment. Instead, the number of people required to complete certain workloads could potentially fall.
Harsh Goenka had previously shared a timeline suggesting that coding, driving, teaching, medicine, creative work, law and factory employment could face major changes between 2028 and 2033. That prediction generated discussion because it covered both ordinary jobs and highly skilled professions.
The uncomfortable possibility is therefore not simply “AI replaces jobs.” It is that one skilled employee using powerful AI could potentially accomplish work that previously required several employees.
What Happens To Human Income?
There is another problem hiding underneath the AI jobs debate, and it involves money.
If companies increasingly depend on AI systems and robots, fewer employees could potentially be needed for producing the same amount of goods and services. But businesses still need customers who can afford to buy those products.
That creates an unusual economic question. If employment falls dramatically, who keeps the consumer economy running?
People discussing Goenka’s post raised exactly this concern, asking how companies would pay for AI services and enormous data-centre operating costs if humans stopped earning traditional employment income.
This is why the future of AI cannot be discussed only as a technology problem. Governments, companies and economists would also need to think about income distribution, taxation, education and social support.
Some people have suggested ideas such as universal basic income or other forms of shared economic benefits. Others believe new industries and new types of employment will emerge before mass unemployment becomes unavoidable.
Humans May Focus On Different Work
There is also a more optimistic way to view the situation.
When machines remove repetitive tasks, humans could spend more time on activities requiring judgment, relationships, leadership, creativity and physical presence. Jobs may not disappear completely, but their daily responsibilities could change substantially.
A teacher, for example, might spend less time preparing routine lesson material and more time mentoring students. Doctors could use AI for analysis while concentrating more heavily on patient communication and difficult decisions.
Similarly, software developers could move from writing every line manually toward designing systems, checking AI-generated code and deciding what products should actually be built.
This shift would require workers to learn continuously because skills that were valuable ten years ago may not carry the same value tomorrow.
AI Will Not Affect Everyone Equally
The impact of automation is unlikely to be evenly distributed across society.
Workers performing repetitive tasks could face pressure earlier, while people responsible for leadership, negotiation, physical care and complex human relationships may experience different forms of change.
Education will matter enormously here. People who can understand AI tools and use them effectively may have an advantage over people who completely avoid the technology.
At the same time, society cannot simply tell every worker to “learn AI” and consider the problem solved. Millions of people have different educational backgrounds, financial situations and access to training.
A serious AI transition would therefore require affordable reskilling programs, better vocational education and practical opportunities for workers to move into new roles.
Other Tech Leaders See Different Future
Goenka’s concern is not shared by everyone in the technology industry.
Elon Musk has repeatedly predicted that AI and robots could eventually replace essentially all jobs, while arguing that people could receive a form of universal high income and treat work as optional.
Meta CEO Mark Zuckerberg has offered a different perspective, arguing that AI could create more companies and potentially more employment even if individual companies become smaller.
OpenAI CEO Sam Altman has also pushed back against the most extreme predictions about an immediate jobs apocalypse. He has suggested that the impact on employment may be significant without becoming the total collapse some people expect.
So there is no single accepted prediction about the future. Experts disagree because technological progress does not happen in a perfectly predictable straight line.
The Real Challenge Could Be Purpose
Perhaps the strangest part of an automated future will not be unemployment itself. It could be the question of purpose.
Humans have spent centuries organising life around work. People introduce themselves through professions, measure success through careers and often build daily routines around employment.
If machines eventually handle most economically necessary tasks, people may need to find new ways of defining achievement.
Some could focus on family, art, sport, education, travel or community work. Others could start small businesses simply because they enjoy building things rather than because survival depends on income.
That future could be liberating for some people, but deeply uncomfortable for others. Having free time sounds wonderful until someone has too much of it and no clear reason to use it.
India Faces A Different Challenge
For India, the discussion becomes especially complicated because the country has a huge working population and millions of people depend on labour-intensive industries.
Automation could improve productivity and help Indian businesses compete globally. It could also reduce costs and create entirely new technology-driven industries.
But workers moving from traditional employment into new careers will need real support. A factory worker cannot instantly become an AI engineer simply because an online course exists.
India will therefore need a broader approach involving vocational training, digital education, entrepreneurship and industries capable of creating new forms of employment.
The country’s demographic advantage could remain valuable if workers are prepared for changing industries rather than being left behind by them.
Humans Are Unlikely To Become Useless
The idea that humans will become completely useless because AI becomes smarter remains a prediction, not an established fact.
Technology has repeatedly changed employment throughout history. Machines reduced demand for certain manual tasks, computers transformed office work and the internet eliminated some jobs while creating many others.
AI may produce a much larger transformation because it can affect both physical and intellectual work at the same time.
Yet human preferences, emotions, trust and social relationships remain difficult to reduce to simple automation. People may continue choosing human teachers, doctors, artists, leaders and service providers even when machines can perform parts of those jobs.
The future could therefore be less about humans versus machines and more about deciding how humans and machines divide responsibility.
Conclusion
The question raised by Harsh Goenka is uncomfortable, but it deserves serious attention as AI jobs future predictions become more ambitious. Robots may handle more physical labour, while advanced AI could automate increasingly complex knowledge work, but the exact outcome remains uncertain. The biggest challenge may not be whether technology becomes capable enough to replace workers, but whether society becomes prepared enough to manage that change fairly. Human creativity, judgment, relationships and purpose could become even more important in an automated economy. Businesses, governments and workers should begin preparing now through responsible AI adoption, education and reskilling. Stay informed, build future-ready skills and prepare for the changing world of work.
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