2024 was the year when AI dominated so many conversations in tech, it became a ubiquitous topic. 2025 is continuing this trend, as AI continues to be the most controversial and the most talked about topic in tech. Many people are staunchly opposed to the use of AI and are discussing the environmental impact or the problems with copyright; others are talking about the potential benefits and how easier it has made their life, for instance, by serving as a loyal listener and a cheerleader or as an adviser for many things. 2025 is still the year of AI; and many technological advancements that are taking place are connected with this particular innovation.
Quantum Computing Is Coming
The first trend that is being talked about and becoming slowly more of a mainstream topic is the advent of quantum computing. While still in the distance and far from being mainstream, it is already being talked about, in particular, in the context of the possibilities of Quantum AI and the potential for much faster speeds and much more impressive achievements.
Quantum computing uses a different foundation than traditional computing. Instead of using the same binary system, it employs qubits, which amplify the processing power. To understand the magnitude of this difference in power, we can think about one of the biggest opportunities and biggest challenges that this kind of computing presents.
Many modern cybersecurity measures are based on cryptography: things are encrypted in a way that computers cannot decipher, at least, not in a reasonable time. It could take a computer thousands or millions of years to decipher some kinds of encryptions, that is, a traditional computer. But a quantum computer could crack that code in minutes. This is a whole new level of processing power.
In addition to quantum computing gin general, there is talk of Quantum AI. This will be a kind of AI using the power and quantum algorithms of the new kind of commuting to take AI into a new direction and onto a whole new level. Some degree of quantum computing is already being implemented in different situations, but the main barrier is the cost of the components that are needed. However, it is already a reality. Platforms like quantucationx.com are helping bridge the gap by exploring real-world applications of quantum computing and AI integration.
AI Regulation
The second trend for 2025 is a stronger conversation for having a regulatory body that is concerned with AI. Many people are in love with the capabilities and speed of AI, but worry about different ethical questions that arise upon using AI. Some of the central ones relate to the possibility of AI making biased decisions if it was trained on a biased dataset, the environmental concerns, the topics of copyright, and the use of AI versus the hiring of human artists, transcribers, and other professionals.
It is likely that regulation will be an important topic of discussion and an additional avenue for AI to grow, as some suggest having regulatory AI as well as human oversight. This is surely a conversation that will continue throughout the years. AI is here to stay, but policy and regulation are sure to catch up eventually. 2025 is certain to be a year when significant advancements are made, and we are starting to see the first legal battles and policy decisions in different countries.
Decisions Made by Agentic AI
Another important avenue is the use of agentic AI and the development of systems that can work more autonomously and make decisions on their own. Agentic AI is more advanced than current, predictive AI, and is supposed to be able to make decisions on its own.
If this is implemented, it could automate a large volume of tasks and could lead to significant changes in many industries. The possibility of agentic AI also pushes for more in terms of regulation, as there is always the question of how fair a decision can be and how well it can take into account utterly human motivations, like empathy or justice in its choices. It is worth mentioning also that AI is not always as unbiased as people think, as, while it is free of bias in the traditional human sense, the data it was trained on and the machine learning process can make the artificial intelligence more inclined to make specific choices, reproducing whatever bias might have been in the original data and even creating others.
Agentic AI is on its way, no doubt, as these systems are becoming more and more advanced and achieving better results. But it is also important to put in place mechanisms that will help AI decisions stay effective and avoid side effects that might arise without human oversight.
New Forms of Generated AI Content
AI content has also become more ubiquitous, albeit it has not been universally accepted. People are still criticizing its use, although we can still see more and more companies and websites employing it. It is looking better too, even though its use has not become fully normalized and might not become fully normalized so easily. But generated content might become more advanced.
Currently, there are a lot of images, generated based on user prompts or by modifying existing photos. There are also a lot of videos and music, albeit the videos in particular have been garnering mixed reactions. But there is the possibility for new kinds of content.
The first topic of discussion has been the use of AI to potentially generate video game environments or instantly playable video games. One particular innovation from Google, still not widely available, can transform an image into a platformer game with interactive elements and make it playable. In the same way users can generate music, text, and images, soon they might be able to generate new levels for a video game or make their own with just a few simple prompts.
This also opens stunning possibilities for the future of AI generation, which could create complex scenarios and highly variable options using simple prompts. Of course, it remains to be seen how sustainable it is and how much or how little users might be interested in this option.
Conclusion
2025 is still very much the year of AI. AI continues to dominate conversations and remain at the center of tech-related controversy, as it becomes more and more popular with users and enters the mainstream. AI is guaranteed to stick around and lead to new developments across fields such as art, medicine, science, finance, and beyond, but there is still no cultural consensus as to how it should be used, why it should be used, and whether things like generative AI should be used at all.
The conversation in tech still centers many topics related to AI that potentialize current advancements and that lead to new heights for what AI is capable of. If now it can make pictures, in the future it could generate entire video games. If today it is capable of understanding and following complex, multi-step instructions, in the future, AI might be able to make decisions entirely on its own.
Advancements in other, more general things related to tech also can potentialize AI. Quantum computing is expected to produce a revolution in the development of better machines, but it can also lead to AI becoming even more powerful and more unstoppable.
But besides all the amazement at these advancements, another important conversation involves the ethics and the regulations of the use of AI. How will it impact jobs? How will it influence copyright? Which situations do not and should not involve the use of artificial intelligence or should we just accept its inevitable coming? It is not an easy question, and many are talking about the need for AI regulation and policy, legislation that inevitably lags behind technological advancements. Soon, there might specialized platforms, tools, and specialists who are dedicated to reviewing, overruling, or sustaining the decisions AI makes, especially when it could negatively affect specific groups of people or could lead to significant effects in society.
Computing seems to be nearing another leap. We have lived through several already. There were remarkable changes in a short time, from a historical perspective, a shift from dial-up to Wi-Fi, the creation of broadly available software for all kinds of tasks that used to be managed in highly specialized environments, the use of phones as mini-computers with many times the power of original clunky, big machines. Quantum computing or maybe the increased use of AI seems to place us close to another technological leap. Perhaps 2026 will be a year of unexpected changes and shifts.
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