The Future of Software Engineering: Adapting to AI and Collective Action (2026)

The world of software engineering, once a beacon of stability and high salaries, is undergoing a dramatic transformation with the rise of AI. Software engineers are now faced with a daunting choice: to adapt and learn new skills or to seek alternative paths. The industry's future is uncertain, and the value of their traditional coding skills is being questioned. As AI continues to evolve, software engineers are finding themselves in a state of flux, grappling with the challenge of staying relevant in a rapidly changing landscape.

One software engineer, Matt, who wishes to remain anonymous, has been actively trying to keep his skills sharp by working on personal projects and avoiding the use of AI. He fears that relying on AI will weaken his abilities and make him less competitive in the job market. This sentiment is shared by many in the industry, who are concerned about the potential for AI to deplete their value as software engineers.

The situation is further complicated by the fact that AI is already being used to generate code, with Google reportedly using AI to write 75% of its code. This shift has led to a decrease in the demand for software engineers, with a 36% drop in tech job postings on Indeed from 2020 to 2025. The unemployment rate for computer science graduates has risen to 7% in 2024, and underemployment rates are high. This has led to a sense of anxiety and uncertainty among software engineers, who are now questioning the future of their profession.

However, some experts argue that the ability to evaluate AI-written code is becoming more important, and that software engineers will still be needed, albeit in a different capacity. Bouke Klein Teeselink, an assistant professor of economics at King's College London, suggests that the skill of writing code is becoming less relevant, but the ability to use AI effectively is crucial. Ethan Mollick, an associate professor of management at the University of Pennsylvania's Wharton School, agrees, stating that the focus has shifted from writing code to defining problems, designing systems, and directing AI tools.

Despite these arguments, the reality is that many software engineers are struggling to adapt to the AI-era. George Dover, a software engineer who became a substitute kindergarten teacher during his job search, is one such example. He realized the need to understand AI and started experimenting with it, learning to generate and evaluate code. This led to him landing a software engineering job focused on AI, demonstrating the potential for growth in this area.

However, the industry is not without its challenges. Sam, a software engineer in Los Angeles, expresses frustration with the creative aspects of his job being taken over by AI, leaving him with the tedious task of reviewing code he didn't write. He fears that AI will continue to erode his profession, and the competition from large tech companies like Google, Amazon, and Netflix is a constant concern. The situation is further exacerbated by the decline in enrollment in computer and information science programs, indicating a potential shortage of skilled workers in the future.

As the industry grapples with these changes, software engineers are increasingly organizing and banding together. Kaitlin Cort, a software engineer who started a resource center for tech workers, has seen a surge in membership and interest in collective action. The center provides support for laid-off workers, helps them navigate layoffs and negotiations, and assists with upskilling and unionization. This trend reflects a growing sense of solidarity among software engineers, who are united in their struggle to adapt to the changing landscape of their profession.

In conclusion, the rise of AI has brought both opportunities and challenges for software engineers. While some are adapting and finding new roles, others are struggling to keep up with the rapid changes in the industry. The future of software engineering is uncertain, but one thing is clear: the profession is undergoing a significant transformation, and software engineers must be prepared to adapt and learn new skills to stay relevant in this evolving landscape.

The Future of Software Engineering: Adapting to AI and Collective Action (2026)
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