There can be no doubt that we live in a world defined by technology. In the past few years, technological development has accelerated significantly and has created a situation in which we are able to do a lot of things digitally and where more and more tasks are made faster, easier, and more effortless through the use of new devices. One particular trend of the past year is the use of AI to automate, generate, edit, predict, and analyze data, and so AI was the key concept and the key discussion topic of 2024. In 2025, the trend for AI has not become any less important; rather, there are new horizons opening in regard to this topic with the creation of new possibilities for the uses of AI as the critiques of this trend are also creating new pathways for how it should develop.
But AI is not the only trend we will see gain weight in 2025. We might be approaching a revolution in computing and are about to take a step towards that sci-fi future we have seen reflected in endless works of fiction: robot assistants and multifunctional work robots, powerful data analytics, and a leap forward. Let’s take a look at the key modern trends and how they might be transforming industries.
Yes, It’s Still About AI
But of course, AI is not going anywhere. All kinds of organizations are building their own LLMs – large language models that learn from data and can create the illusion of conversation, not to mention do quick searches, structure data, generate content, and answer questions. For many people, ChatGPT or Claude has become an everyday companion as well. Other companies are seeking to build specific AIs that can analyze data or carry out specific functions. These kinds of uses are only becoming more widespread despite concerns about the environmental impact or the ethics of how AI models are trained. Still, these are here to stay, as they grow to be more sophisticated with each use.
But beyond these, the big trend for 2025 is the rise of agentic AI, which has a lot more agency, as the name indicates. They are better able to carry out tasks, make decisions, and operate autonomously. In fields like customer service, estimates suggest that agent AIs could resolve up to 80% of customer complaints without the need for human intervention.
Agentic AIs are closer to the fictional imaginings of what an artificial intelligence could and should be. They are better able to operate within complex systems and make choices on their own. This means that many decisions could be outsourced, and the human involvement in these systems would be reduced significantly. The idea of further reducing human involvement is a mixed bag in terms of public reaction. On one hand, it can lead to significant cost-cutting and higher efficiency, but there are also concerns about the outcomes for people who might be impacted in terms of jobs. But agentic AI would also bring us closer to an automated society.
As the development of AIs has raised concerns and continues to raise worry in different fields, one important development is the building of AI platforms that are focused on oversight and the integration of ethics into these models. Of particular concern is the output of different AIs, which can be biased because of the data it is trained on. So it is important to have bodies and tools that will regulate and examine the work of AIs, as these are not naturally equipped with ethical systems beyond the training they receive. These platforms can be in high demand and serve different AI tools, having an important role in the operation of AIs across the world.
In terms of AI, one other trend is not in tech specifically but in the surrounding world. Societies are developing guidelines and policies that will dictate how we use AIs, how they cannot be used, and to whom the output belongs. In creative industries, there is a big pushback against artificial intelligence that can create content, simulate real voices or even model real people, and that can reproduce works under copyright. An unresolved issue as of this moment is the ownership of AI created content, whether it is images or text. Some judicial decisions have pointed to this having no ownership, as it was not made by a person, but there is still a long road to walk until there is a universally accepted policy, and the matter is indeed thorny. Another important trend is occurring in the conversations and policies around AI.
Quantum Computing Is Entering the Conversation
The other big topic that is only just beginning to gain steam is quantum computing. Quantum computing involves the use of a whole new kind of computers that have a much higher processing power and wholly new capabilities. Instead of using the binary system that underlies all the work a regular computer does, quantum computers use quantum bits or qubits that can be manipulated in different ways. This allows a quantum computer to have significantly improved speeds and processing abilities.
One particular issue around quantum computers is that they provide a duality. On one hand, they can resolve problems that are not currently solvable. They can solve problems in seconds, whereas those same issues would take regular computers thousands or millions of years to process. On the other hand, the same thing means that many current cybersecurity measures will become utterly useless, as they are based around encryption that cannot be solved now. This is the quantum threat.
Quantum computers exist already but are far from being mainstream due to the cost of producing qubits. But in practice, quantum algorithms are already being employed in different industries, such as in trading AI based platforms. This is going to become a dominant conversation in the next few years, as technological hurdles may be overcome and quantum become the new norm.
Industry Shifts
If your main competitor is implementing AI and making their processes faster, then you need to implement AI as well to match and outpace them. There is no question about that. This means that industry-wide shifts related to technological advancement are going to occur soon and will often determine how successfully a company can survive in this current environment.
Industry shifts are happening already, with positive and negative effects. There are more efficient processes, more opportunities, and more uses for AI and other tools, but on the other hand, people are worried for their jobs and for their security. AI is far from a perfect tool at this point: the tools can make mistakes like the famous “hallucinations” when predictive AIs will respond with a nonsensical or made-up answer. In other cases, there are other concerns, so the implementation of AI is still a work in progress.
Industry expectations and standards are also not defined at this moment. We will likely see a more common set of guidelines to be developed through practice. This is certain to be accompanied by legal regulations as to how AI might be used and how it might not, in regards to copyright and automation. It is likely that 2025 will be a year of many legal battles around AI and other technological developments.
Industry shifts are also occurring on a more practical level. In fields like trading, when companies like immediatebitwave.it are starting to implement AI, it means changes in how the market works and how much different companies need to do to keep up. In practice, it can change customer experience, interactions, waiting time, costs, and prices, but for the company, it can also mean the perception of the company as being updated and current with its technological developments and whether its tools measure up to the current industry expectations.
Conclusion
2025 promises to be yet another yet of ample technological development and growth. The biggest trends that can be identified in the conversation at the moment are the rise of agentic AI, the development of platforms that can provide oversight for AI and ensure that the tools are being used in a way that encourages equality and does not unfairly disadvantage any particular group. In addition to this, a big conversation being had at the moment is the development of quantum computers, which are far from being mainstream but that are already important and having an impact on the industry.
We live in a technology-driven world, no doubt about it. AI has revolutionized the way in which we engage with technology, so it is certain to keep influencing our lives and industries. Businesses can take advantage of the new developments in AI to reach competitive advantages over other companies and to become the first in their fields to do things in better, more efficient ways. For that, we need to understand the upsides and downsides of technology.
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