Unpacking What AI Agents Are, What They Do

Artificial intelligence agents are best defined as software powered by AI that completes different tasks that an individual asks them to do. Last month, Perplexity rolled out an artificial intelligence agent that assists individuals with their shopping for the holidays. Soon after, Project Mariner was released by Google to complete tasks like finding recipes, shopping for home items, and finding hotels and flights, among others.

While this seems easy enough to understand, inadequate clarity on how to classify these agents makes it complicated. For Google, the agents are task-based assistants while for Asana, AI agents may play the role of an employee, handling tasks assigned to them like a good worker.

Sierra, a firm founded by Clay Bavor and Bret Taylor, sees AI agents as consumer experience tools that help individuals achieve goals and solve more complicated issues. Others see them as IT assistants that can help resolve issues by querying system logs, as well as providing coding help to developers.

Not having a common definition gives rise to uncertainty over exactly what AI agents do, although it doesn’t affect their performance as they all complete tasks with minimal human interaction.

Glassing Ventures’ Managing partner and founder, Rudina Seseri, argues that while the tech is in its early days, many can agree that these agents are intelligent software systems designed to observe their environment, make decisions, and autonomously act to achieve certain objectives. She explains that these agents use different technologies to work efficiently, noting that they incorporate a range of techniques like computer vision and natural language processing to operate properly.

It is expected that as artificial intelligence hones its capabilities, these agents will be able to complete even more tasks in place of people.

Box CEO and co-founder Aaron Levie believes that GPU performance/price, model intelligence and quality, infrastructure and AI framework improvements and model efficiency will help enhance what these agents can accomplish in the future.

This opinion isn’t shared by all though. Rodney Brooks, MIT robotics pioneer, argues that this is a favorable outlook on this tech as it assumes growth shall occur in the above areas, which isn’t guaranteed. In a recent interview, Brooks stated that AI wouldn’t grow as quickly as chips, explaining that the software would need to access multiple systems while solving any issues they encountered in the course of completing their tasks. This, he noted, would probably be more complex than many thought it would be.

Many companies, such as Palantir Technologies Inc. (NYSE: PLTR), are focusing on developing a variety of AI solutions. As these products hit the market, we could see AI agents becoming commonplace in different industries.

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