When XSci launched in September with a promise to compensate peer reviewers, it tapped into a legitimate frustration. The peer review system is drowning in backlogs, and researchers have long complained that reviewing—essential unpaid labor—consumes enormous amounts of their time. Founder Shumiao Ouyang's solution appears elegant: pay reviewers $200 for feedback within five days or $100 for feedback between five and ten days, with costs covered by authors who pay $399 for a review round or $249 if they agree to make their reports public. On the surface, this addresses a real problem. But before we celebrate this innovation, we need to ask harder questions about what incentives we're actually creating.
The fundamental concern is speed. A $200 payment for a five-day turnaround creates pressure that could compromise review quality. Thorough peer review requires time—time to read carefully, to think critically, to check methodology, and to write constructive feedback. Reviewers rushing to meet a deadline for payment may cut corners. The traditional peer review system, for all its flaws, at least removes the financial incentive to be fast rather than thorough. We should be cautious about introducing time-based compensation structures that reward velocity over rigor.
There's also the equity question. Ouyang says the platform is 'trying to raise more funds,' which means this model depends on continued investment and growth. What happens to reviewers if the startup's financial circumstances change? Moreover, not all researchers can afford $399 per review round—this system may advantage wealthy institutions and well-funded researchers while disadvantaging early-career scientists and those from under-resourced institutions. Creating a two-tier peer review system where some authors can afford expedited paid review while others cannot raises troubling questions about access and fairness.
The transparency issue matters too. While XSci offers a $249 option for authors willing to make review reports public, the $399 option presumably keeps reports private. This could create a market where unfavorable reviews remain hidden while favorable ones become public—a recipe for skewed incentives and selective transparency that undermines scientific integrity.
That said, the fact that someone is experimenting with peer review economics is not inherently wrong. We desperately need to fix the backlog and acknowledge that reviewing is labor. But any solution should prioritize review quality over speed, ensure equitable access, and maintain transparency. Before XSci scales further or competitors emerge with similar models, the scientific community needs to establish ethical guidelines for paid peer review. The goal should be improving the system—not simply monetizing it.