9 trends that will galvanize the electrifying AI industry in 2025

The progress made by artificial intelligence (AI) is advancing at an absolutely devilish pace. and in the coming twelve months the most powerful technology of the moment will confront us with new developments that will probably leave us speechless (and that will also inoculate us to a certain extent with fear).

In 2025, AI will turbocharge and will perhaps be closer than ever to metamorphosing into artificial general intelligence (AGI).which will mark a before and after in this line of activity. Next, with the help of an article published by Helmut van Rinsum in horizonwe unravel what could become the main AI trends over the course of the last year:

1. AI agents will become ubiquitous

Copilot is Microsoft’s AI agent, SAP has Joule and Salesforce has recently launched Agentforce. By 2025, AI agents will become even more ubiquitous. Conceived as personal assistants, AI agents can independently perform almost any type of task: summarizing emails, creating presentations or answering questions posed by the customer. Within companies, AI agents will alleviate the workload and will ultimately translate into more than notable cost savings.

2. AI will develop the so-called synthetic intuition

In the coming years, multimodal AI systems will develop a kind of synthetic intuition by simultaneously processing different types of data. In this way, relying, for example, on a fashion trend born in the heat of TikTok (and amalgamating it with meteorological data and economic indicators), AI will be able to predict consumer preferences. Future AI models will not only process different types of data, but will be able to disentangle such data and develop accurate predictions based on it.

3. AI inference speed will increase

As AI systems become thinking entities, the time spent on reasoning tasks will tend to decrease. Today, GPT-4 still needs, for example, a lot of time to execute complex tasks such as writing a doctoral thesis. However, this process will significantly accelerate when the inference speed of AI models increases. AND In 2025 some language models will be able to execute highly complex tasks in a matter of minutes instead of hours. Furthermore, accelerating inference will lead not only to faster results but also to higher quality results.

4. The foundations of in-house teams dedicated to AI will be built

In 2025, more and more companies will be equipped with in-house teams with a focus on AI and many of these teams will be dedicated to tasks directly related to marketing. This will reduce companies’ dependence on traditional agencies and create a new type of professional who will be able to develop campaigns from start to finish without necessarily the support of external providers.

5. “Upskilling” will have an increasingly leading role in companies

Those companies that use AI must take the trouble to properly train their employees. Those who know this technology in depth are, in the end, more efficient and competitive, but it is also necessary to train those who use AI in their daily work so that they are familiar with the standards and technical principles by which it is used. is governed. In this sense, companies will have no choice but to invest massively in the training of their work teams (so that everyone has a more or less unified knowledge of AI).

6. There will be more and more demand for governance models

Under the provisions of the new EU AI Law, companies must provide themselves with regulatory models for this that take into account guidelines, control mechanisms and processes to adequately comply with the precepts of the standardin which transparency, justice, data protection and risk minimization play a leading role. The EU AI Law will soon have a profound impact on data management by companies, as it will be necessary to inform, for example, users about the training data that has been used in intelligence models. artificial.

7. Human expertise will be increasingly important as a counterweight to AI

It may seem like a contradiction at first, but as AI development progresses, the abilities of flesh and blood human beings will become increasingly important. Not surprisingly, the greatest human ideas will be absolutely irreplaceable and the ability to use AI in a controlled and conscious way will also be crucial. Furthermore, in an environment filled to the brim with AI bots, advice from real human beings could become a real luxury (especially from a customer experience point of view).

8. The debate on the impact of AI on the environment will gain intensity in 2025

AI models consume huge amounts of energy (which is why companies like Microsoft, Google and Amazon are betting on the use of nuclear energy) and In the next twelve months the debate about the impact of this technology on the environment will become increasingly louder.. In view of the large amount of energy that AI devours, those solutions that rely on renewable energy to power the data centers where artificial intelligence models are trained will gain prominence in the coming months.

9. Quantum computing will spur the development of AI

Despite its profound impact on the environment, energy will continue to be used extensively by technological titans in 2025 to invest in quantum computing, whose energy consumption is immense and which will ultimately fuel AI. In the coming months, competition among large technology companies will likely accelerate over the use of quantum computing as a lever to spur their efforts in the AI ​​arena.. This technology will be an important competitive advantage for those companies working in the area of ​​AI.