Science1 distinct publisher3 min readUpdated
A new book from the MIT labor economist names a category he calls marginal workers: 17% of US employees who sit on the payroll while their employer plans not to keep them.
The Scientist · Science desk

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Paul Osterman, professor emeritus of work and organization studies at the MIT Sloan School of Management, published "Disposable Workers: The Transformation of Employment" with Harvard University Press this month [1][2]. His headline count puts 35% of US workers, which he describes as over 55 million people, outside a conventional career track, while platform gig work accounts for a little more than one percentage point of the workforce [3][4][5].
The load-bearing idea is a definition. "Marginal workers are employees who have no career prospects at their organizations," Osterman says; they are employees of the firms they work for, "but the organizations do not intend to keep them," and they are much less attached to any career ladder [6]. He finds that about 17% of US employees fit that description, roughly one in six jobs [7]. Both the term and the category are his, and he says the group has been significantly overlooked; the count comes from an original survey of more than 6,000 workers [16][11].
The remainder of the 35% is more familiar. Roughly 12% are contract workers, often employed by staffing agencies and then assigned to varying locations [8]. Another 5% are what he calls organizational freelancers, working for firms without being part of the permanent staff, and that bucket contains the gig workers who draw jobs from platforms such as rideshare services at a little more than 1% [9][5]. Beyond those are freelancers working individually for multiple clients [10]. The three named shares sum to 34 of the 35 points, which is the point: the platform economy is a small line item inside a much larger reorganization [22].
Arithmetic on his own figures gives a sense of scale. If 35% corresponds to more than 55 million people, the implied workforce base is about 157 million [19]. That puts marginal employees alone near 27 million people [20], roughly 17 times the platform gig share [21].
The occupations are not confined to warehouses and delivery routes. Osterman's examples include staff attorneys at law firms, adjunct faculty, and many kinds of part-time employees with few opportunities for advancement [12]. What ties the categories together, he argues, is that each evolved as firms tried to cut labor expenses and gain flexibility and managerial discretion, leaving fewer workers with promotion prospects, health benefits and employment stability [13]. By mixing marginal, freelance and contract roles and making some of them part time, businesses built a system in which fewer employees have rising wages or additional benefits and the portion of firm revenues plowed back into paying workers can shrink [15]. He declines to moralize: the book, he says, does not argue that anyone is dishonest or evil, because "firms only care about one thing, which is to maximize profits, period, end of story" [14]. He also says it is a good thing that firms create jobs and develop new products [18].
Two things are worth tracking. First, whether the 17% survives contact with other datasets, since it rests on a category Osterman named and a survey he ran [16][11]. Second, the tension he flags himself: many scholars have found that short-term labor cost reductions can be counterproductive, and many firms have appeared to benefit from a more stable, committed and motivated workforce [17]. If that holds, the marginal-employee model is a cost decision that some employers are making against their own operating interest.
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Paul Osterman is the Nanyang Technological University Professor Emeritus at the MIT Sloan School of Management, where he is also a professor emeritus of work and organization studies, and a longtime labor economist whose work has focused on job quality and labor-market fairness.
Osterman's new book, "Disposable Workers: The Transformation of Employment," was published this month by Harvard University Press.
According to Osterman's analysis, 35% of U.S. workers are either marginal employees, freelancers, contractors or gig employees finding work on online platforms like rideshare services.
Osterman on the 35% figure: "That's a big number. That's over 55 million people in the American workforce."
Gig workers, who draw work from online platforms such as rideshare services, account for a little more than 1% of the U.S. workforce.
Osterman: "Marginal workers are employees who have no career prospects at their organizations. They are employees of the organizations for which they work, but the organizations do not intend to keep them, and these workers are much less attached to any career ladder."
Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
One original survey, single-source reporting
The empirical core is an original survey of more than 6,000 workers plus a Harvard University Press book, and a named scholar is quoted praising the research - real but thin support as reported. No methodology, sampling frame, weighting or microdata is described; the marginal-worker category is the author's own coinage, so the headline share depends on his definition; the three named shares sum to 34 rather than 35 points and the implied ~157 million workforce base is never stated. Everything in the cluster comes from a single article, and the author himself says the evidence on the cost-versus-commitment trade-off is not clear-cut.
No uptake signal in supplied sources
The only real-world event in the cluster is the book's publication and one favorable scholar endorsement. Nothing in the supplied source shows the marginal-worker framework being taken up by statistical agencies, employers, policymakers or other researchers, and no employment dataset is cited independently of the author's own survey, so uptake cannot be scored without inventing facts.
Aggregate framing outruns the underlying measurement
Mildly overstated. Calling 35% of U.S. workers disposable bundles four heterogeneous arrangements - including on-payroll employees - under a label and category the author invented and measured with one unpublished survey, and the arithmetic leaves a point unaccounted for. Offsetting that, the source is unusually disciplined in the other direction: it explicitly sizes platform gig work at a little more than 1%, deflating the standard gig-economy narrative, and quotes the author disclaiming that he can prove firms are being smart or stupid. So the gap is in the aggregate packaging rather than in the reporting's tone.
Book-launch coverage of the author's own framework
The article is launch-timed coverage of a book published this month, built almost entirely on the author's quotes, his own survey and his own coined terminology, with the single outside voice supplying praise rather than scrutiny. That is a promotional pipeline typical of institutional research communications. The scoring is moderated because the author's incentives are academic reputation rather than commercial sale of a product, and he volunteers limits on his conclusions.
Single publisher, single article
One source item from one publisher supports every claim in the cluster. The descriptive facts - definitions, shares, book publication - are cleanly and consistently reported, so low-level confidence in what was said is high; confidence in the underlying quantities is limited by the absence of methodology, any second outlet, and any independent statistical cross-check.
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One in three U.S. workers is 'disposable' - and the biggest slice sits inside your own headcount1 distinct publisher
Distinct publishers with included, body-backed reporting in this cluster.
1 article · August 18, 2026