If 2024 was the year of large language models (LLMs), then 2025 looks like the year of AI “agents”. These are quasi-intelligent systems that harness LLMs to go beyond their usual tricks of generating plausible text or responding to prompts. The idea is that an agent can be given a high-level – possibly even vague – goal and break it down into a series of actionable steps. Once it “understands” the goal, it can devise a plan to achieve it, much as a human would.
OpenAI’s chief financial officer, Sarah Friar, recently explained it thus to the Financial Times: “It could be a researcher, a helpful assistant for everyday people, working moms like me. In 2025, we will see the first very successful agents deployed that help people in their day to day.” Or it’s like having a digital assistant “that doesn’t just respond to your instructions but is able to learn, adapt, and perhaps most importantly, take meaningful actions to solve problems on your behalf”. In other words, Miss Moneypenny on steroids.
