Jobless Boom- The Human Cost of AI Revolution

We are increasingly living in an economy that does not need people to prosper. This is not just a dystopian thought anymore but an actual policy and social crisis. This is the hard to swallow reality of the warning that Geoffrey Hinton describes as the beginning of the “jobless boom”. A future where artificial intelligence does not just change jobs but also eliminate their need altogether faster than we can catch up with it (Gautam, 2026).

For decades, we have expected technological disruptions to bring changes for the better, creating newer jobs in the market. The industrial revolution famously mechanized labour, computers digitized office and the internet sped up communication. Humans, however, remained central to production and functioning. Artificial intelligence marks the first technology that may be capable of being at par with the cognitive ability of humans.

In 2023, Goldman Sachs predicted that generative AI could expose atleast 300 million full time jobs globally to complete automation (Kiderlin, 2023). The IMF also warned that almost 40% of global employment could be impacted by AI, with advanced economies facing the greater brunt (Kevin, 2024). From customer service chatbots, AI generated journalism and automated coding assistant; tasks that once needed years of training and educational experience are increasingly being performed by machines in a matter of seconds.

However, the fear is not rooted in the fact that AI will become conscious. Rather, it is that businesses, driven by efficiency and profit, will adopt the convenience of AI faster than workers, training and governments can adjust to it. Realistically, in this economy, productivity levels are expected to soar at the expense of job security. For the first time ever, we are faced with a deeply worrisome question. What happens when technological evolution does not secure human prosperity?

The Cost of a Jobless Boom
The fear regarding AI is not merely economic but also psychological and social in nature. Work is not just about income generation anymore. It serves the purpose of forming an identity and routine while giving dignity, purpose and a sense of belonging to individuals. The consequences of unstable employment extend far beyond financial insecurity.

Research has shown that unemployment is linked to higher levels of stress and symptoms of depression and anxiety. A 2024 study analysed educated yet unemployed youth in India to find strong links between joblessness and deterioration in mental health, especially amongst young graduates faced by economic uncertainty (Biswas et al., 2024).

The rising presence of AI in our everyday lives is exacerbating this anxiety in young adults who are navigating this volatile job market. Recent studies with university students has found that AI related apprehensions and fears are strongly correlated with increasing anxiety regarding impending unemployement and declining confidence in future career prospects (Da? et al., 2026).

Social media further amplifies this “AI career panic” wherein young adults feel presuurised to keep future-proofing themselves against this new wave of automation. This obsession with finding careers ahead of AI reflects a deep rooted fear that education alone may not guarantee job stability anymore (Mehmet Uçar et al., 2024).

The impending doom thus is not just unemployment but the slow erosion of work dignity. If we do not prepare workers for this transition, the “jobless boom” may not just be a catalyst to economic inequality but also a widespread crisis of the loss of identity, a sense of belonging and deteriorating mental well being.

From the Perspective of Technological Doomism
Despite the increasingly growing fears around AI-driven unemployment, several researchers put forth that artificial intelligence may infact transform work rather than diminishing its power. We have historically seen technological revolutions to disrupt labour markets in the short term only to give birth to newer industries and professions. Popular economist David Autor has repeatedly emphasised that automation often replaces specific tasks instead of entire occupations.

This allows humans to shift towards creative and interpersonal skills. Recent studies on generative AI show that AI can efficiently function as a productivity enhancer instead of a direct substitute to employees (Brynjolfsson et al., 2023). Another study from MIT found that professionals using generaticve AI to complete writing tasks were about 40% faster with an improved output quality by about 18%. This reflects that AI may infact be augmenting human performance instead of eliminating it completely (Winn, 2023).

Research from Stanford University and the National Bureau of Economic Research has also shown a 14% rise in productivity amongst customer support workers using AI assistance. The largest gain was observed with younger or less experienced employees (Brynjolfsson et al., 2023). The World Economic Forum (2025) also predicted that while AI may lead to the displacement of millions of jobs, it will also simultaneously encourage the creation of newer job roles in the realm of AI ethics, machine learning and human-AI interaction.

This optimism alone however, cannot guarantee job stability. The real issue may not lie in whether jobs will disappear, but if societies can aptly reskill workers to adopt fast enough to prevent rapid technological progess from widening the inequality gap.

Preparing for the AI Economy
The challenge with AI that we are faced with is not widespread unemployment but societal preparedness for the oncoming economic transition. Governments, educational institutions and organizations need to proactively act before the AI technological disruption outpaces the ability of workers to catch up with it. Large scale upskilling programmes, strong labour protection initiatives and emphasis on AI literacy are becoming non-negotiables in preparing new age employees to step foot into the automated economy.

As per the estimates of the World Economic Forum (2025), about half of all the workers globally will need to undergo reskilling in order to keep up with the technological change. Along with this, questions surrounding reduced workweeks, universal basic income mandates, and ethical AI usage and regulation are attracting attention with the evolution of traditional employment structures. Educational institutions need to reform existing traditional education systems that lay emphasis on static degrees over adaptable, continuous forms of learning.

It is crucial to remember that AI itself is not the threat, but structural unpreparedness is. Technology will continue to evolve at an unprecendented speed. The measure of progress lies in how societies ensure that economic efficiency does not compromise with individual identity, dignity and stability.

Authors: Prisha Khanna, Undergraduate Student, FLAME University; and Prof. Moitrayee Das, Faculty of Psychology, FLAME University.