The Evidence Employers Ignore: Bossware Does Not Improve Productivity
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The Evidence Employers Ignore: Bossware Does Not Improve Productivity

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Big Tech joins the race to build the world’s heaviest airplane
I'm at the end of my tour for my new book, the international bestseller Enshittification. My last two stops are CCC in Hamburg, Dec 27-30 and the Tattered Cover in Denver (Jan 22). Hope to see you!
I have a weird fascination with early-stage Bill Gates, after his mother convinced a pal of hers – chairman of IBM's board of directors – to give her son the contract to provide the operating system for the new IBM PC. Gates and his pal Paul Allen tricked another programmer into selling them the rights to DOS, which they sold to IBM, setting Microsoft on the path to be one of the most profitable businesses in human history.
IBM could have made its own OS, of course. They were just afraid to, because they'd just narrowly squeaked out of a 12-year antitrust war with the Department of Justice (evocatively memorialized as "Antitrust's Vietnam"):
https://pluralistic.net/2022/10/02/the-true-genius-of-tech-leaders/
The US government traumatized IBM so badly that they turned over their crown jewels to these two prep-school kids, who scammed a pal out of his operating system for $50k and made billions from it. Despite owing his business to IBM (or perhaps because of this fact), Gates routinely mocked IBM as a lumbering dinosaur that was headed for history's scrapheap. He was particularly scornful of IBM's software development methodology, which, to be fair, was pretty terrible: IBM paid programmers by the line of code. Gates called this "the race to build the world's heaviest airplane."
After all, judging software by lines of code is a terrible idea. To the extent that "number of lines of code" has any correlation with software quality, reliability or performance, it has a negative correlation. While it's certainly possible to write software with too few lines of code (e.g. when instructions are stacked on a single line, obfuscating its functionality and making it hard to maintain), it's far more common for programmers to use too many steps to solve a problem. The ideal software is just right: verbose enough to be legible to future maintainers, streamlined enough to omit redundancies.
This is broadly true of many products, and not just airplanes. Office memos should be long enough to be clear, but no longer. Home insulation should be sufficient to maintain the internal temperature, but no more.
Ironically, enterprise tech companies' bread and butter is selling exactly this kind of qualitative measurements for bosses who want an easy, numeric way to decide which of their workers to fire, and leading the pack is Microsoft, whose flagship Office365 lets bosses assess their workers' performance on meaningless metrics like how many words they type, ranking each worker against other workers within the division, with rival divisions and within rival firms. Yes, Microsoft actually boasts to companies about the fact that if you use their products, they will gather sensitive data about how your workers perform individually and as a team, and share than information with your competitors!
https://pluralistic.net/2020/11/25/the-peoples-amazon/#clippys-revenge
But while tech companies employed programmers to develop this kind of bossware to be used on other companies' employees, they were loathe to apply them to their own workers. For one thing, it's just a very stupid way to manage a workforce, as Bill Gates himself would be the first to tell you (candidly, provided he wasn't trying to sell you an enterprise Office 365 license). For another, tech workers wouldn't stand for it. After all, these were the "princes of labor," each adding a million dollars or more to their boss's bottom line, and in such scarce supply that a coder could quit a job after the morning scrum and have a new one by the pre-dinner pickleball break:
https://pluralistic.net/2025/04/27/some-animals/#are-more-equal-than-others
Tech workers mistook the fear this dynamic instilled in their bosses for respect. They thought the reason their bosses gave them free massage therapists and kombucha on tap and a gourmet cafeteria was that their bosses liked them. After all, these bosses were all techies. A coder wasn't a worker, they were a temporarily embarrassed founder. That's why Zuck and Sergey tuned into those engineering town hall meetings and tolerated being pelted with impertinent questions about the company's technology and business strategy.
Actually, tech bosses didn't like tech workers. They didn't see them as peers. They saw them workers. Problem workers, at that. Problems to be solved.
Босс следит за тобой. Bossware подрывает доверие сотрудников
New Post has been published on https://er10.kz/read/it-novosti/boss-sledit-za-toboj-bossware-podryvaet-doverie-sotrudnikov/
Босс следит за тобой. Bossware подрывает доверие сотрудников
Почти треть британских компаний использует программное обеспечение для слежки за сотрудниками на удаленной работе, так называемое bossware (от англ. boss + software). Согласно опросу, проведенному Chartered Management Institute (CMI), это вызывает серьезные проблемы с доверием в коллективе.
Bossware – это программы, которые позволяют работодателям отслеживать активность сотрудников. Исследования показывают, что использование таких систем значительно возросло, особенно в условиях гибридного и удаленного форматов работы.
Некоторые компании уже использовали эти данные для принятия радикальных мер. Например, бразильский банк Itau уволил 1000 сотрудников после того, как скрыто следил за их активностью на удаленке и обнаружил, что они выполняют меньше задач, чем их коллеги в офисе.
Опрос CMI показал, что 36% компаний используют bossware для офисных сотрудников, 32% – для гибридных команд и 30% – для полностью удаленных работников.
Наиболее распространенные способы мониторинга:
Отслеживание времени входа и выхода из системы (39%);
Просмотр истории браузера (36%);
Чтение электронной почты (35%).
Более инвазивные методы включают отслеживание активности на экране, снятие скриншотов и даже мониторинг нажатий клавиш (14%).
Многие менеджеры сомневаются в эффективности таких систем. Хотя более половины опрошенных поддерживают мониторинг для защиты данных, 42% считают, что слежка не улучшает производительность и наносит ущерб доверию. Почти каждый шестой сотрудник признался, что готов уволиться, если работодатель введет такую систему.
Опрос, проведенный Software Finder, показал, что 75% сотрудников, за которыми ведется наблюдение, теряют доверие к компании и в два раза чаще ищут новую работу.
Читайте по теме. Дистанционная работа более продуктивна – исследование Zoom.

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The future of Amazon coders is the present of Amazon warehouse workers
I'm on a 20+ city book tour for my new novel PICKS AND SHOVELS. Catch me in BURBANK with WIL WHEATON TONIGHT (Mar 13), and in SAN DIEGO at MYSTERIOUS GALAXY on Mar 24. More tour dates here.
My theory of the "shitty technology adoption curve" holds that you can predict the future impact of abusive technologies on you by observing the way these are deployed against people who have less social power than you:
https://pluralistic.net/2023/06/11/the-shitty-tech-adoption-curve-has-a-business-model/
When you have a new, abusive technology, you can't just aim it at rich, powerful people, because when they complain, they get results. To successfully deploy that abusive tech, you need to work your way up the privilege gradient, starting with people with no power, like prisoners, refugees, and mental patients. This starts the process of normalization, even as it sands down some of the technology's rough edges against their tender bodies. Once that's done, you can move on to people with more social power – immigrants, blue collar workers, school children. Step by step, you normalize and smooth out the abusive tech, until you can apply it to everyone – even rich and powerful people. Think of the deployment of CCTV, facial recognition, location tracking, and web surveillance.
All this means that blue collar workers are the pioneering early adopters of the bossware that will shortly be tormenting their white-collar colleagues elsewhere in the business. It's as William Gibson prophesied: "The future is here, it's just not evenly distributed" (it's pooled up thick and noxious around the ankles of blue-collar workers, refugees, mental patients, etc).
Nowhere is this rule more salient than in Big Tech firms. Tech companies have thoroughly segregated workforces. Delivery drivers, customer service reps, data-labelers, warehouse workers and other "green badge," low-status workers are the testing ground for their employer's own disciplinary technology, which monitors them down to the keystroke, the eye-movement, and the pee break. Meanwhile, the "blue badge" white-collar coders get stock options, gourmet cafeterias, free massages, day care and complimentary egg-freezing so they can delay fertility. Companies like Google not only use separate entrance for their different classes of workers – they stagger their shifts so that the elite workers don't even see their lower-status counterparts.
Importantly, almost none of these workers – whether low-status or high – are unionized. Tech union density is so thin, it's almost nonexistent. It's easy to see why elite tech workers wouldn't bother with unionizing: with such fantastic wages and so many perks, why endure the tedium of meetings and memos? But then there's the rest of the workers, who are subjected to endless "electronic whipping" by bossware and who take home wages that look like pocket change when compared to the tech division's compensation. These workers have every reason to unionize, living as they do in the dystopian future of labor.
At Amazon warehouses, workers are injured at three times the rate of warehouse workers at competing firms. They are penalized for "time off task" (like taking a piss break). They are made to stand in long, humiliating body-search lines when they go on- and off-shift, hours every week, without compensation. Variations on this theme play out in other blue-collar sectors of the Amazon empire, like Amazon delivery drivers and Whole Food shelf-stockers.
Tips for a Healthy Bossware Culture
This infographic provides actionable tips to build a healthy Bossware culture, including promoting transparency about monitoring practices.
The reverse-centaur apocalypse is upon us
I'm coming to DEFCON! On Aug 9, I'm emceeing the EFF POKER TOURNAMENT (noon at the Horseshoe Poker Room), and appearing on the BRICKED AND ABANDONED panel (5PM, LVCC - L1 - HW1–11–01). On Aug 10, I'm giving a keynote called "DISENSHITTIFY OR DIE! How hackers can seize the means of computation and build a new, good internet that is hardened against our asshole bosses' insatiable horniness for enshittification" (noon, LVCC - L1 - HW1–11–01).
In thinking about the relationship between tech and labor, one of the most useful conceptual frameworks is "centaurs" vs "reverse-centaurs":
https://pluralistic.net/2022/04/17/revenge-of-the-chickenized-reverse-centaurs/
A centaur is someone whose work is supercharged by automation: you are a human head atop the tireless body of a machine that lets you get more done than you could ever do on your own.
A reverse-centaur is someone who is harnessed to the machine, reduced to a mere peripheral for a cruelly tireless robotic overlord that directs you to do the work that it can't, at a robotic pace, until your body and mind are smashed.
Bosses love being centaurs. While workplace monitoring is as old as Taylorism – the "scientific management" of the previous century that saw labcoated frauds dictating the fine movements of working people in a kabuki of "efficiency" – the lockdowns saw an explosion of bossware, the digital tools that let bosses monitor employees to a degree and at a scale that far outstrips the capacity of any unassisted human being.
Armed with bossware, your boss becomes a centaur, able to monitor you down to your keystrokes, the movements of your eyes, even the ambient sound around you. It was this technology that transformed "work from home" into "live at work." But bossware doesn't just let your boss spy on you – it lets your boss control you. \
It turns you into a reverse-centaur.
"Data At Work" is a research project from Cracked Labs that dives deep into the use of surveillance and control technology in a variety of workplaces – including workers' own cars and homes:
https://crackedlabs.org/en/data-work
It consists of a series of papers that take deep dives into different vendors' bossware products, exploring how they are advertised, how they are used, and (crucially) how they make workers feel. There are also sections on how these interact with EU labor laws (the project is underwritten by the Austrian Arbeiterkammer), with the occasional aside about how weak US labor laws are.
The latest report in the series comes from Wolfie Christl, digging into Microsoft's "Dynamics 365," a suite of mobile apps designed to exert control over "field workers" – repair technicians, security guards, cleaners, and home help for ill, elderly and disabled people:
https://crackedlabs.org/dl/CrackedLabs_Christl_MobileWork.pdf
It's…not good. Microsoft advises its customers to use its products to track workers' location every "60 to 300 seconds." Workers are given tasks broken down into subtasks, each with its own expected time to completion. Workers are expected to use the app every time they arrive at a site, begin or complete a task or subtask, or start or end a break.
For bosses, all of this turns into a dashboard that shows how each worker is performing from instant to instant, whether they are meeting time targets, and whether they are spending more time on a task than the client's billing rate will pay for. Each work order has a clock showing elapsed seconds since it was issued.
For workers, the system generates new schedules with new work orders all day long, refreshing your work schedule as frequently as twice per hour. Bosses can flag workers as available for jobs that fall outside their territories and/or working hours, and the system will assign workers to jobs that require them to work in their off hours and travel long distances to do so.
Each task and subtask has a target time based on "AI" predictions. These are classic examples of Goodhart's Law: "any metric eventually becomes a target." The average time that workers take becomes the maximum time that a worker is allowed to take. Some jobs are easy, and can be completed in less time than assigned. When this happens, the average time to do a job shrinks, and the time allotted for normal (or difficult) jobs contracts.