Research Shows Multi-Agent AI Teams Waste Tokens for Minimal Quality Gains
Recent findings from Vals AI reveal that collaborative teams of AI agents cost up to 5.1 times more than solo agents while delivering barely measurable performance improvements. Industry data confirms that once agent counts exceed ten, quality plateaus even as token expenses continue to rise sharply, highlighting a major efficiency challenge for automated workflows.
Source: The Decoder