Gartner, Inc. predicts that by 2028, one-third of interactions with generative AI (GenAI) services will use action models and autonomous agents for task completion.
“In the future, human interactions with GenAI may evolve from users prompting large language models (LLMs) to users interfacing directly with autonomous intent-driven agents, which could allow for a higher degree of autonomy and much better alignment with human goals,” said Arun Chandrasekaran, Distinguished VP analyst at Gartner.
Chandrasekaran said that autonomous agents can reduce the need for human intervention and can impact healthcare, education, gaming, and insurance sectors.
Foundation for autonomous agents
“Autonomous agents need a clear objective function so that their behaviors can be controlled in a meaningful way to deliver value. The tasks autonomous agents can perform, such as verifying the output of a model before inputting it into another model, have the ability to control model output and automate complex business processes based on human intent. But this can only be achieved with a clear objective function,” said Chandrasekaran.
Maximising autonomous agents
Gartner urges organisations to identify use cases where action models and autonomous agents can reduce human intervention. Organisations can also build an architecture conducive to autonomous agents by providing tool integration and access to knowledge repositories and long-term memory.
Gartner reminds action models and autonomous agents cannot substitute prompt engineering as they are only as good as the prompts they receive. Organisations should also balance autonomy and control through extended pilots and agent monitoring.
