What Awaits Us from Artificial Intelligence in 2025

Artificial intelligence (AI) is marking a before and after in the history of technology, and 2025 will bring more surprises. It is not easy to make a prediction of what awaits us, but it is easy to highlight trends and challenges that will define the immediate future of AI for the coming year. Among them, the challenge of the so-called "centaur doctor" or "centaur professor", key for those of us who are immersed in the development of AI.

The explosion of AI-based science

AI has become a fundamental tool to address major scientific challenges. Areas such as health, astronomy and space exploration, neuroscience or climate change, among others, will benefit even more than they are already doing.

AlphaFold (which won the Nobel Prize in 2024) has determined the three-dimensional structure of 200 million proteins, practically all of which are known. Its development represents a significant advance in molecular biology and medicine. This facilitates the design of new drugs and treatments, and 2025 will mark the emergence of their use (freely accessible, by the way).

For its part, ClimateNet uses artificial neural networks to perform precise spatial and temporal analyses of large volumes of climate data, essential for understanding and mitigating global warming. The use of ClimateNet will be critical in 2025 to predict extreme weather events more accurately.

Medical Diagnostics and Judgments: The Role of AI

Justice and medical diagnosis are considered high-risk scenarios. In them, it is more urgent than in any other area to establish systems so that humans always have the final decision.

AI experts work to ensure user trust, that the system is transparent, that it protects people, and that the human is at the center of decisions.

This is where the challenge of the "centaur doctor" comes into play. Centaurs are hybrid human-algorithm models that combine formal machine analytics and human intuition. A "centaur doctor + an AI system" improves the decisions that humans make on their own and AI systems on theirs. A doctor will always be the one who hits the accept button, and a judge who determines if the sentence is fair.

The AI that will make decisions for us

Autonomous AI agents based on language models are the goal for 2025 of large technology companies such as OpenAI (ChatGPT), Meta (LLaMA), Google (Gemini) or Anthropic (Claude).

So far, these AI systems make recommendations, in 2025 we want them to make decisions for us.

AI agents will perform personalized and precise actions on tasks that are not high-risk, always adjusted to the user's needs and preferences. For example: buy them a bus ticket, update the calendar, recommend a specific purchase and make it. They will also be able to answer our email, a task that takes a lot of time a day.

Along these lines, OpenAI has launched AgentGPT and Google Gemini 2.0, platforms for the development of autonomous AI agents. For its part, Anthropic proposes two updated versions of its Claude language model: Haiku and Sonnet.

The use of our computer by AI

Sonnet can use a computer just like a person would. This means you can move your cursor, click buttons, type text, and navigate screens. It also enables functionality to automate our desktop. It allows users to grant Claude access and control over certain aspects of their personal computers, just like people do. This ability, dubbed "computer use," could revolutionize the way we automate and handle our day-to-day tasks.

In e-commerce, autonomous AI agents will be able to make a purchase for the user. They will provide advice on business decision-making, manage inventory automatically, work with suppliers of all kinds, including logistics providers, to optimize the replenishment process, update shipment statuses to generate invoices, etc.

In the education sector, they will be able to customize curricula for students. They will identify areas for improvement and suggest appropriate learning resources. We will move towards the concept of the "centaur teacher", helped by AI agents in education.

The approve button

The notion of autonomous agents raises profound questions about the concept of "human autonomy and human control". What does "autonomy" actually imply?

These AI agents will introduce the need for a pre-approval. What decisions will we allow these entities to make without our direct approval (without human control)?

We are faced with a crucial dilemma: knowing when it is best to be "automatic" in the use of autonomous AI agents and when we need to make the decision, i.e. to resort to "human control" or "human interaction and AI".

The concept of pre-approval is going to become very relevant in the use of autonomous AI agents.