“There is going to be massive unemployment and massive profits,” Geoffrey Hinton continued in 2025, so it is going to be a very divisive time. The Nobel Prize winner, also known by the nickname “godfather of AI,” has been warning about the dangers of AI to the workforce, or even to mankind itself, for a number of years now. However, given the increasing use of AI, it would seem that the reality of its effect on the economy is a great deal more complicated than suggested above.
However, there is a certain element of truth to this, which Hinton is clearly worried about. In a capitalistic economy, companies will use AI in order to replace human labor to the extent possible. This is due to the increased profit margin and decreased labor costs. Hinton has mentioned that it is not a problem with AI but a problem with the system it is being implemented in. His predictions have come true in the sense that companies have been cutting down jobs in favor of implementing AI. However, it does appear that there have been no layoffs in favor of implementing AI.
As shown in a study carried out by the Federal Reserve Bank of New York, there is a rising trend of retraining people rather than layoffs in organizations that have implemented AI technology. Furthermore, in most cases, the short-term effect of AI technology is the reduction of the number of layoffs rather than the number of recruitments in a large number of industries that require a university degree. According to Oxford Economics, the number of layoffs reported through the media because of AI technology is still low, and the rate of productivity has yet to experience the growth that has been expected in case it was people being replaced by machines.
Nonetheless, it should be noted that there are some sectors that have recorded a positive trend when it comes to the formation of jobs. The development of infrastructure for AI and the development of mega data centers has resulted in the development of tens of thousands of new jobs in the construction sector itself. Apart from this, there has also been a consistent need for the recruitment of AI engineers, data scientists, and prompt writers as well. The medical field, which Hinton believes has the capacity to be greatly assisted through efficiency, has some applications of AI that have already begun for administrative purposes, for diagnosing, and for patient communication as well.
However, it is difficult to ignore the risks posed by Hinton’s descriptions. Alongside his concerns for job security, he has also listed other risks posed by the misuse of AI, such as in the domain of biotechnology, where very advanced AI could potentially make it simpler for dangerous biological agents to be created. More modern assessments of large language models and systems for biological design indicate very strongly that the system for control as it now stands is far from foolproof and that this remains an area where policymakers are only just beginning to understand the implications. There also remains the question of the future for employment and the future for hiring without large-scale layoffs. Due to the takeover of repetitive tasks by AI, there has also been a shift in the skill set that will be required for most jobs.
The workers will be required to have skills that pertain to the control and understanding of AI. Some workers will be able to begin a new career path, but others will have to face a precarious work environment. Hinton has already considered ideas such as universal basic income as irrelevant for addressing the loss of meaning and dignity that occurs due to job displacement. However, in the larger geopolitical scenario, the rapid development in AI has marked the beginning of a new era of strategic rivalry among others such as the United States and China.
However, this rivalry extends much further than the challenge of one country seeking to outdo another in the development of AI and moves on to the rules of the game in the development and application of AI in a safe and ethical manner. The reality at this point in time is one of transformation rather than collapse. The future of work and employment will be transformed by AI and will hold threats and dangers as well as opportunities. The warning that Hinton gives is that none of this has been predetermined yet.
