Stupid prediction, because why not:
A new discipline (and, inevitably, a new class of grifters) will emerge to teach agents the same best practices we have IRL: Amazon's writing culture and two-pizza teams, RACI, "stakeholder alignment", etc.
Research proves that current AI agent groups cannot reliably coordinate or agree on simple decisions.
Building teams of AI agents that can consistently agree on a final decision is surprisingly difficult for LLMs.
But problem is that developers frequently assume that if you have enough AI agents working together, they will eventually figure out how to solve a problem by talking it through.
This paper shows that this assumption is currently wrong. Even in a friendly environment where every agent is trying to help, the team often gets stuck or stops responding entirely. Because this happens more often as the group gets bigger, it means we cannot yet trust these agent systems to handle tasks where they must agree on a correct answer.
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Paper Link – arxiv. org/abs/2603.01213
Paper Title: "Can AI Agents Agree?"