2025 was going to be the year of the AI agents. They have said personalities like the CEO of Nvidia or Sam Altman. The main companies dedicated to AI have presented their agents: Anthropic, Openai, Google… the agents AI aimed to be The great revolution This year, but what we are seeing leaves enough to be desired. More and more voices are lowering expectations.
Experts in creating hype. If the AI gurus are experts, it is to generate expectation. At the beginning of the year, Altman said that the agents were going to transform the labor in 2025. Six months later, He clarified his speech: “IA agents are behaving as Junior employees.” Now, The year of the agents will be 2026but perhaps this is not a realistic prediction either.
Not so quickly. More and more voices are calling for calm. In The Algorithmic bridge They talk about the hype that has been given to AI agents and how it is contributing to being lost confidence in the sector. And, wanting to run a lot generates false expectations and ends up disappointing. One of these voices is that of Andrej Karpathy, Openai co-founder and responsible for Ia in Teslaso some of AI, knows. Karpathy calls for calm: “There are many people too excited about AI agents.”
The promise. After the boom of the language models, the AI agents are presented as the next great evolution. While a chatbot can only ask for one task, an agent can plan larger tasks autonomously. For example, an AI agent could manage the stock of a store, controlling what is needed and orders to suppliers, all autonomously. On paper, agents are very powerful tools and pose a very serious threat to many jobs.
Reality. If 2025 is leaving something clear about the AI agents, is that They fail more than a fair shotgun. Have already been put into practice in several cases such as Creation of this fictitious company o This experiment which Anthropic carried out. The result has been disappointing. One of the points at which they failed is when looking for the Internet. For example, one of these agents left a task to complete because a pop-up appeared on the screen and failed to close it. When they leave their surroundings, agents tend to fail more because they find information that they do not control, as in the case of pop-up. Another type of agents, such as Claude Code, work in a closed environment and are much more reliable.
Another limitations is the time they can be working. It has been seen as the AI agents make a mistake in a task, they are chaining it in the successive ones, making the solution compromise and throw all work by land. And this worsens the longer working. A possible solution to this problem would be to put several agents to work in parallel in order to contrast and find the optimal solution.
Your time will come. IA agents are not ready to function autonomously and replace a 100%worker, but that does not mean they will not reach that point. In fact, they are already improving. According to this investigation, AI agents are increasing the time they can work autonomously in a task with a 50%success rate. In 2024 the time was 8 minutes and is currently already in 1 hour. If they continue to improve in a sustained way, by 2027 they can work four hours in a row.
Karpathy compares him to his first trip at a Waymo Robotaxi in 2013: “We have spent 12 years and continue working.” We are not in the year of the AI agentsbut “the decade of the agents. This will take a long time. We have to do it carefully. This is software, let’s be serious, ”he warns.
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