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“Winter of artificial intelligence”, a phenomenon that is beginning to worry the tech industry: its possible effects

In a technological landscape Saturated with expectations and continuous advances in artificial intelligence, concern began to circulate about a phenomenon called “AI winter” that could present serious problems for technology giants like Meta and Google.

The technology community is currently witnessing new terms. The so-called AGI or Artificial General Intelligence, which drives Mark Zuckerberg, is one of the most ambitious in recent times. There is also the Artificial Superintelligence (ASI), the most powerful, and Artificial Narrow Intelligence (ANI), more flexible.

However, now another definition appears that is quite different and leads to the opposite point: the so-called AI winterin which everything promised is seen slowed down due to technical limitations that currently exist.

What is the winter of artificial intelligence

ChatGPT, one of the big players in AI. (Photo: Shutterstock)

This phenomenon, characterized by disappointments and decline in interest and investment in AIraises questions about the future of the ambitious goals of the world’s leading companies in the field of artificial intelligence.

Over the years, the term was commonly associated with two previous periods in the history of artificial intelligence: there were several AI Winters, which occurred between brief periods from 1974 to 1990.

AI is one of the technologies that has suffered the most during these periods. To a large extent because it is always a plan too ambitious for its time. In the 70s, 80s and 90s there were several AI Winters, because the technology that existed was not sufficient to develop issues related to neural networks and dozens of other issues.

The problem is that this would be the greatest wintersince AI is currently in the highest point of your investments and therefore could become a problem in the long run for everyone.

Companies around the world carry made a brutal investment to take the lead when it comes to AI development. The expense was billions and is calculated far above what could be expected. Something that happens in a similar way with the gigantic energy expenditure to put these types of technologies into operation for the general public.

For this reason, the fact that the private contribution cools could have a resounding impact the interests of those who invested their money and, above all, to the companies that are launching this type of bets.

Google, Microsoft with OpenAI, Meta or X They have massive investments behind them that could cause companies to collapse forever. This economic blow could even cause its disappearance.

It must be taken into account that the majority of technology companies underwent a restructuring to bet on AI, so this gigantic expense in the event that funding stops coming in could be fatal.

How it impacts the user

Gemini, Bard's new name.Gemini, Bard’s new name.

The most obvious blow that anyone who uses this technology would find is that the functionalities promised by the companies they would never arrive and, therefore, it could not be used much more extensively.

Meanwhile, updates and improvements could become less frequentlimiting the ability of these technologies to evolve and adapt to the changing needs of users.

Security and privacy could also be affected, as investment in research and development related to AI security could decrease. This would open the door to undetected vulnerabilities and concerns about the protection of personal data, generating an environment of greater caution among users regarding the use of services powered by AI.

Additionally, potential public distrust in AI, driven by the perception of an AI Winter, could lead to greater scrutiny of tech companies’ ethical practices.

Users could become more cautious when sharing data and be more demanding in terms of transparency and responsibility on the part of companies that develop and apply AI technologies.

However, the real problem is that this could affect major technology companies. It may even lead to stopping using AI, but things do not stop there and many companies like Meta or Google fall when they were once considered giants with very secure foundations. This could involve a serious economic problem in the system that currently prevails.

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