Why future AI agents will be trained to work together

We’re moving towards a world where multi-agent systems will be near-ubiquitous, and where they won’t just look like prompt engineering on steroids. Over the last few years, we’ve increasingly seen AI systems spin up multiple LLM instances to solve problems. OpenAI has a multi-agent team which was involved in their recent IMO gold medal.1 Grok 4 Heavy involves multiple agents working in parallel on the same task. Claude Research coordinates multiple instances of Claude 4. Claude Code uses the Task tool to delegate subtasks to subagents. And over the last year, all of OpenAI, Anthropic, and Google DeepMind have had job postings looking for expertise in multi-agent systems. We expect this trend toward multi-agent systems to continue: as task lengths increase, the benefits of parallelization will become too large to ignore. Importantly, while these LLM instances will work in parallel, they often won’t work independently: they'll need to coordinate to avoid stepping on each other's toes, an

We’re moving towards a world where multi-agent systems will be near-ubiquitous, and where they won’t just look like prompt engineering on steroids. Over the last few years, we’ve increasingly seen AI systems spin up multiple LLM instances to solve problems. OpenAI has a multi-agent team which was involved in their recent IMO gold medal.1 Grok 4 Heavy involves multiple agents working in parallel on the same task. Claude Research coordinates multiple instances of Claude 4. Claude Code uses the Task tool to delegate subtasks to subagents. And over the last year, all of OpenAI, Anthropic, and Goog