Who Reviews the Reviewers? The Quiet Collapse of Peer Review's Volunteer Workforce
Peer review has always run on an unspoken bargain: researchers give their time freely, trusting that others will reciprocate when their own manuscripts arrive at an editor's desk. That bargain is fraying. Survey data from major US publishers and editorial offices indicate that invitation acceptance rates have fallen steadily over the past decade, with some journals now extending three or four invitations for every completed review. The consequence is not abstract—manuscripts sit longer in queues, revision cycles stretch from weeks into months, and the pace of scientific communication slows for everyone.
The Arithmetic of Decline
The supply-demand imbalance in reviewing is fundamentally a matter of growth. Global scholarly output has expanded at a pace that the reviewer pool simply has not matched. Each published paper begets citations, submissions, and—critically—requests for review, yet the number of qualified researchers willing and able to perform that labor has not grown proportionally. The burden falls unevenly: a small cadre of senior, well-connected academics absorbs a disproportionate share of invitations, while mid-career researchers squeezed by grant deadlines and teaching loads decline at rising rates.
Early-career scientists present a particularly instructive case. Postdoctoral fellows and junior faculty, often cited as the natural next generation of reviewers, face their own calculus. Reviewing carries no salary credit, rarely appears in tenure dossiers, and consumes hours that might otherwise go toward the publications that actually determine their professional fate. When the primary currency of academic advancement is first-author work, unpaid service to competitors' manuscripts becomes a luxury many cannot justify.
What Recognition Can and Cannot Fix
The most widely adopted remedy in the United States has been formalized reviewer credit. Platforms such as Publons, now integrated into Web of Science, allow researchers to document and display their reviewing activity, converting an invisible service into a verifiable credential. Several US-based publishers have followed suit, issuing certificates or digital badges that early-career researchers can attach to promotion files.
The evidence on impact, however, is mixed. Recognition systems assume that reviewers decline invitations because their labor goes unacknowledged—and for some, that assumption holds. But it does not address the underlying scarcity of time, nor does it solve the cold-start problem: researchers who have never reviewed cannot build a reviewing record, and editors hesitate to invite those without one. Recognition, in other words, rewards the already-converted while doing little to widen the gate.
The Paid Review Experiment
A more contested proposal involves compensation outright. A handful of journals—most notably in economics and parts of the medical literature—have piloted direct payment per completed review, and commercial publishers have experimented with expedited, fee-associated review tracks that fund faster turnaround. Proponents argue that paying reviewers acknowledges the true economic cost of a system that otherwise subsidizes journal profits, particularly among the large commercial publishers whose margins depend on that subsidy.
Critics raise two concerns. First, payment may shift reviewer motivation in ways that erode the disinterested judgment peer review is meant to protect. Second, compensation models risk stratifying the literature: well-resourced journals would attract faster, more reliable reviews, while smaller society-run publications—many of them the intellectual homes of US academic disciplines—would fall further behind. Whether payment corrodes quality or simply prices in a cost that was always there remains empirically unresolved, and the American journal ecosystem is watching the pilot programs closely.
AI Triage and the Limits of Automation
The third major response is technological. AI-assisted triage tools now screen submissions for scope fit, methodological red flags, and statistical inconsistencies before human reviewers are engaged, reducing the volume of manuscripts that require full review. Some editorial workflows use machine-generated summaries to help editors match manuscripts with appropriate reviewers more precisely, cutting the wasted invitations that contribute to decline rates.
These tools are best understood as demand management rather than supply expansion. Automating the first pass cannot replace the domain judgment, contextual knowledge, and adversarial scrutiny that human reviewers provide—and there is a genuine risk that triage systems trained on historical editorial decisions will reproduce the biases embedded in them. AI may reduce the number of reviews needed; it does not answer who will perform the ones that remain.
Rebalancing the Burden
No single intervention appears sufficient. The journals gaining the most traction in the United States tend to layer approaches: recognition systems paired with reduced review loads for productive reviewers, structured review templates that cut completion time, and deliberate expansion of the invited pool beyond the same senior names. Some editorial boards have adopted reviewer rotation policies to distribute service obligations more equitably across departments and career stages.
The deeper question is institutional. Peer review functions because the scientific community treats it as a collective obligation, but obligations without infrastructure eventually collapse under their own weight. If the reviewing workforce continues to contract, the bottleneck will not merely delay publications—it will weaken the quality control on which the credibility of the entire enterprise depends. The volunteer crisis, quiet as it is, may prove the most consequential methodological challenge of the decade precisely because it operates upstream of every other one.
