Topshot – Biped robots in testing testing containers during a mobile handling demonstration … (+)
While I composed this article, I was wondering if it would be easier to write what not to expect in the AI in 2025, rather than what to expect! For a technology that seems to advance in almost all areas at the same time, how do you choose 5 zones? To reduce the scope a little and, hopefully, make it more interesting, I decided to select trends that do not directly concern Chatgpt growth or its competitors. It is sure to say that this will develop, and these applications and companies behind them will do their best to make these applications solutions to each possible problem.
So what else is there? Here are 5 trends, without any particular order:
Ai Trend 1: agents everywhere
You may have heard the term Agentic. While AI has always been devoted to learning models, the stages in which AI has evolved are (a) the learning models from data (b) generating new content according to these models and (c) to take measures according to these. It is when all three come together that you have an AI agent – software capable of learning, creating actions and performing them. Expect to see much more development in this area in 2025.
AI Trend 2: Transformation of the education system
Many has been done to find out if AI encourages cheating, replaces teachers or, otherwise, fundamentally affects the way students learn. Although all this is critical, another force emerges which is also fundamental, if not more, this year has seen growing evidence of New graduates cannot find jobs due to IA -based skills and economic landscapes. This involves the question not only of how students learn, but also from what they learn. The economic pressure of the labor market will oblige graduates, and possibly the institutions that produce them, to face the new realities of what companies want among workers. Students will first have to adapt, via all the means available for Upskill, and establishments will have to follow. I expect that we were starting to see these changes in 2025.
Ai Trend 3: Ai in science
Two sciences Nobel prizes this year were for AI. It should be an awakening that science is there to stay there. It should also be noted that even if a large part of the attention and imagination of the world have focused on a generative AI, billions of funding flock to the use of AI for scientific applications, with new announcements coming daily for everything, from spatial exploration to medical advances. It should also be noted that, for all these investments and progress, the data suggest that The success in phase II clinical trials for drugs discovered by AI is almost the same as other drugsWith warnings that some of these drugs were already “known” in one form or another. When writing these lines, I have not seen news of any medication generated by AI receiving approval from the FDA. What does this combination tell us? He tells us that the potential is immense and not yet fully achieved.
AI 4 trend: lack of data (easy)
The skeptics were Predict that AI will be short of datawhile others have counters. What seems coherent in these forecasts is not the existence of data, but the growing difficulty of accessing data that is both of high quality and ethically appropriate. I expect it to be a trend in 2025. Unsploued data, especially on our physical environment, are always massive. However, large-language models have scratched most easily available data, expect 2025 to display growing efforts to obtain data, whether it be commercial contracts to acquire data, systems labeling to organize still proven data, the deployment of more sensors, etc. Add to that the above trend of AI in science, and we can imagine efforts to exploit scientific data to speed up.
Trend 5: Robots
AI has already made breakthroughs in all areas where problems can be solved with software (think of emails, content creation, MRI analysis, etc.). The AI has already led to cost savings and employment disturbances in all these areas. Robotics provide access to the physical field – whether manufacturing, surgery, agriculture or spatial exploration. THE AI applications when combined with physical automation is also almost endless. In 2025, we should expect to see the existing trends in this space develop and reach a wider public conscience.
Summary
Last year saw large models of language and a generative AI improve at massive speeds, apparently capable of tackling any basic task. Next year, we should expect to see the next wave, as deeper impacts in specific areas and institutions, and integrations with other technological waves, come in sight.