Tech engineers’ influence wanes before autonomous programming systems as a new book documents the shrinking labor movement in Silicon Valley

A new study documented in a book published by Haymarket Books by researcher and MIT PhD candidate G.S. Tan and his former tech-sector colleague Clarissa Redwine records the rise and decline of employee activism at major tech firms over the past decade. The book, titled “Against the Tech Oligarchy: Workers’ Resistance in the World’s Most Influential Industry,” observes how engineers and developers have shifted from a broadly influential force capable of shaping company policies to a defensive position in the face of labor-market changes and the rise of autonomous AI systems.

The documentation begins in 2017, when U.S. President Donald Trump issued an executive order suspending entry for citizens of seven majority-Muslim countries for ninety days and suspending entry for Syrian refugees indefinitely. At that time, tech-sector employees participated in widespread protests, and Sam Altman, co-founder of OpenAI, wrote an article asserting that tech companies were making extraordinary efforts to recruit and retain talent, which gave employees considerable leverage to urge management to take concrete actions and public positions. Over the years, workers organized protest sit-ins and objections to technology contracts with immigration-enforcement agencies and military institutions, culminating in 2018 with Google employees successfully pressuring their company not to renew the Maven project contract, an AI-driven drone-footage analysis program for the U.S. Department of Defense, after roughly four thousand employees signed an open letter refusing to take part in war-related work.

But the landscape changed dramatically after eight years, as earlier this year more than six hundred Google employees signed a letter refusing to conduct secret AI work for the Department of Defense, warning against applications that include lethal autonomous weapons and internal surveillance, while the company’s management responded decisively by committing to work with the Pentagon regardless of their demands. Tan attributes this sharp shift to two successive factors: first, the 2022 interest-rate hikes and the resulting loss of hundreds of billions in market value for tech firms, which prompted cost-cutting measures, including reductions in high salaries, and a reassertion of administrative control; second, the decisive impact of autonomous programming AI systems, which have narrowed the skill set required and made developers more anxious about job security, as employees have faced these shocks individually without unions or collective bargaining power.

Deconstructing the myth of individual developer influence reveals that advanced automation does not merely change programming tools, but reshapes power and negotiation balances within organizations.This factor is evident in Clarissa Redwine’s experience, a co-author of the book, who was among the leaders of union-organizing attempts on the Kickstarter platform before her dismissal in 2019 amid a dispute over whether her termination was linked to her union activity, which the company denied. The authors’ thesis shows that engineers’ ability to impose constraints on the technologies they develop has declined in tandem with automated tools taking on a larger share of coding tasks.

For technical engineering teams in the Gulf, Egypt and the Arab Levant, this trajectory brings direct operational changes to hiring and project management. Developers no longer possess a strong negotiating card based solely on traditional coding skills, as companies and regional development centers shift toward using autonomous programming systems to reduce reliance on large codebases and lower development costs. This reality forces engineering talent in the region to redirect their careers toward auditing independent systems, engineering their integration and security, while granting technology departments in banks and regional firms greater central influence over operational and production decisions as technical teams’ ability to impose individual conditions wanes.