The reviewer's confession lands with a familiar ache. They signed up for AAAI out of a sense of duty, then spent their evenings rejecting papers and questioning their own judgment. The real problem isn't the workload or the harsh decisions. It's the nagging feeling that the system is one-sided. They gave time they didn't have, got nothing tangible back, and then had the audacity to learn something from the experience. That last part is where the story turns. They admit to reading outside their field, sharpening their critical thinking, and understanding what makes a paper hold together. That's not a waste. That's a quiet investment in the kind of discernment that exploring real-world computer vision deployments and edge model challenges demands, where the gap between a well-framed idea and a shoddy implementation is painfully wide.
The tension in their post is worth sitting with. They call themselves an idiot for volunteering, yet they also admit the process taught them something. That's not contradiction. That's growth, disguised as resentment. The real problem is that the value of reviewing is invisible to the people who do it. It doesn't show up on a transcript or a performance review. It shows up later, when you can spot a weak argument in a meeting or push back on a proposal that sounds good but won't survive contact with real data. That's the same skill you need when exploring the Forrester function, where the math is straightforward but the intuition for when to apply it is not. Reviewing is like that. The payoff is indirect, but it's real.
Stop treating peer review as a favor to the community and start treating it as professional development you control. The reviewer is right to feel used, but they're wrong about why. The system isn't broken because it's non-reciprocal. It's broken because we don't frame the return on investment honestly. You don't review to earn goodwill. You review to build judgment. And judgment is the one asset that adaptive recommendation systems still can't automate, no matter how much data you throw at them. The practical takeaway isn't to stop volunteering. It's to set boundaries: review fewer papers, but read them deeply. Use the time to sharpen your own standards, not to chase a sense of obligation.
The question worth asking isn't whether reviewing is reciprocal. It's whether you're using it to get better at your craft. If the answer is yes, the resentment fades. If it's no, then stop signing up and free up the time. The reviewer's final line, wondering if anyone else feels the same, suggests they're still waiting for permission to admit the process has value. Give it to them. The moment we stop pretending peer review is pure altruism and start treating it as a deliberate skill-building exercise, the more honest the conversation becomes. And that's a shift worth making, even if the email next year still feels like a form letter.