The data re-entry department at Palladian Logistics occupies the fourth floor of a building in the Circuit that, unlike its Ghost Building neighbors, is actually occupied by actual human beings doing actual work. The work is this: thirty-two employees arrive each morning, sit at workstations, and manually re-enter data from digital records into a second, identical digital system. The source data is a database of shipping manifests. The destination is an identical database of shipping manifests. The data is already in the destination database, placed there by an automated integration system that functions correctly and has functioned correctly since its installation in 2219. The thirty-two employees re-enter data that is already there. They have been doing this for six years.

I spoke with eleven of them. They know. Every single one of them knows that the data they enter is already in the system. They know because the system occasionally flags their entries as duplicates, at which point they override the flag — as instructed by their training manual — and continue. The training manual, which I obtained a copy of, is forty-seven pages long and meticulously detailed. It describes the re-entry process in precise, professional language. It does not, at any point, address why the process exists. The manual describes how to do the job. It does not describe why the job needs doing. None of the eleven employees I spoke with has ever been told why.

The department has a manager, a budget, quarterly performance reviews, and a headcount that appears on Palladian's organizational charts. The performance reviews evaluate speed and accuracy of data entry. Employees who re-enter more records with fewer errors receive higher ratings. High performers are eligible for a 3% annual raise. The highest-performing member of the team, a woman named Dechen Okafor-Lindqvist, has been employee of the quarter seven times. She re-enters approximately 340 shipping manifests per day with a 99.7% accuracy rate. She is re-entering data that is already there with extraordinary precision, and she is rewarded for it.

I asked Dechen why she does it. She said, "Because it's my job." I asked if it bothered her that the work was unnecessary. She paused for a long time. Then she said, "Everything is unnecessary. At least I'm good at this." She's not wrong. In an economy where automation has eliminated the functional necessity of approximately forty percent of all human labor, the question of whether a job "needs doing" is increasingly philosophical. The job exists. It pays Φ78,000 annually. It includes health benefits, a retirement contribution, and Tier 2 residency status. Dechen's alternative is not a "real" job — her alternative is no job, which means Tier 1, which means the Shelf, which means a fundamentally diminished existence. The make-work is the mercy. The pointless job is the point.

Palladian's human resources department declined to comment on the data re-entry department's purpose. A spokesperson said only that "all positions within Palladian reflect the company's commitment to comprehensive data management and quality assurance." This is corporate language for "we don't know either, but the budget exists and the headcount is filled and that's someone else's problem." The data re-entry department will continue to re-enter data that is already there, and thirty-two people will continue to arrive each morning to do work that doesn't need doing, and they will do it well, because doing it well is the only part of it they can control.