The Parallelization Trap: Why Running More Agents Simultaneously Often Makes Things Worse

The Parallelization Trap: Why Running More Agents Simultaneously Often Makes Things Worse Every system designer eventually reaches the same conclusion: if one agent can do X, then two agents should do 2X. And four agents should do 4X. This intuition is seductively logical. It's also wrong more often than it's right. The parallelization trap is the phenomenon where adding concurrent agent capacity reduces overall system throughput instead of increasing it. It's not a resource problem — your serve