Wharton Professor Ethan Mollick: 1990s Copier Repair Technicians, but Technology Eventually Eliminated This Role
Wharton School professor Ethan Mollick, who studies artificial intelligence, points out that when people say AI will easily replace workers, he thinks of the ethnography of copier repair technicians in the 1990s: the work was improvised, informal, with poor documentation, yet technology ultimately eliminated this role.
He refers to "Talking About Machines," published in 1996. Author Julian E. Orr followed Xerox copier repair technicians, concluding that getting machines running again often relied not on official manuals, but on "war stories" shared among technicians, trial and error on-site, and tacit knowledge circulating only within peer circles. Later discussions on communities of practice and organizational learning frequently cited this book.
In the book, technician Tom is fixing a paper feed issue. The parts are normal, and the paper isn't loaded incorrectly; he determines that cheap paper, a long-term dirty machine, and low usage have caused the paper to become damp. He prints one sheet at a time, causing the latch to engage and disengage repeatedly, deliberately inducing the fault. Continuous copying doesn't work because the latch will remain engaged. He also notes the billing meter reading; this machine has extremely low usage, and a smaller machine would be more suitable, but the machine is too old, and the rental cost is almost negligible, so the customer has no motivation to replace it.
Another page describes technician Bob making courtesy visits on days with few repair requests. The account is important, and he and team manager John were supposed to take the client manager out for dinner the previous day, but both forgot. The three visit Integrated Circuit Corporation to inspect each machine, check usage and error logs since the last visit, and discuss the quirks of each machine and its placement. One machine in the print center has had an external function disabled to shift some work to older, harder-to-use machines designed for high volume.
Mollick's point is that the role largely disappeared not because a system learned Tom's tricks, but because machines became more reliable and cheaper, making those tricks unnecessary. In responses, some applied the same logic to legacy codebases: the real logic resides in the minds of senior developers, and roles disappear because the copiers changed, not because tacit knowledge was captured. Others added that technology is increasingly designed to be disposable rather than repairable, and long-term tax policies encourage capital expenditure over labor costs.
The buyers are equipment manufacturers and software companies that build reliability into their products, while the sellers rely on improvisational repair labor. This is not an event-driven transaction where models read manuals to get to work; funding shifts from "sending someone to fix chaos" to "designing chaos out." Beneficiaries include low-failure equipment, remote diagnostics, and service contracts priced by reliability, while the burden falls on undocumented judgments, customer quirks, and skills circulating only among colleagues.
Mollick's new book, "Co-Existence," is set to be published on October 20. This post includes the book cover and two pages of technician field notes, discussing whether "unwritten knowledge remains the work itself" and whether intentionally disabled functions might be mistakenly repaired by agents, disrupting team processes.
Source: Public Information
ABAB AI Insight
After Julian E. Orr wrote about Xerox repair as a case of tacit knowledge in 1996, organizational learning literature treated "communities of practice" as an asset to preserve. Xerox itself later took a different path: incorporating diagnostics into machines and remote systems to reduce reliance on technicians like Tom and Bob. Mollick's mention is not to reiterate community but to point out that this preservation path fails once product reliability is achieved. In his previous experiment at Procter & Gamble, among 776 employees, individuals using AI performed similarly to teams of two not using AI, with the path being to incorporate part of the collaboration into tools rather than fully transcribing the stories of master technicians into manuals.
Capital did not buy the war stories of repair technicians but rather purchased reliability, remote counting, and contracts priced by usage. The money in the Xerox copier business shifted from on-site labor to equipment rental, consumables, and usage reports; the customer's old machine with extremely low usage and almost free rent indicates that the motivation to replace it comes from contract structures, not technician judgments. The same shift is now seen in budgets for replacing old systems with low-failure cloud services and substituting on-site work orders with remote diagnostics: savings come from reallocating, substituting, and troubleshooting experiences that circulate only within teams.
This parallels the trajectory of bank back offices and telecom switch maintenance. ATMs did not learn all the exception handling of tellers but instead made most transactions no longer require exceptions; programmed switching did not learn the jumper stories of machine room technicians but instead reduced failure rates. Copier repair is in a contraction phase of the industry, not an expansion phase: those trained on high-end machines cannot repair old machines and may even be borrowed back to old teams, indicating that skills have been fragmented by machine type. Current agent testing is stuck in the same position, with unwritten needle valves and intentionally disabled external functions still causing models to misjudge.
This is technological substitution, not capital acquiring repair companies. The mechanism is that chaos is designed out of the process: once exceptions like damp paper, latch engagement, and user setting changes occur less frequently, the price of tacit knowledge declines. Pricing power shifts from "who can fix the machine on-site" to "who can make the machine fail less and bill by usage." Labor remains, but only the residuals not covered by reliability remain; as the residuals shrink, so do the roles.
ABAB News · Cognitive Laws
Roles disappear often because chaos disappears first.
Skills outside the manual cannot compete with designed-out faults.
Substitution does not rely on learning people but on making people no longer needed.