As the artificial intelligence revolution sweeps through the tech industry, software engineers are grappling with an uncertain future. Once considered a lucrative and stable career path, the profession is now undergoing profound changes that have left many feeling insecure and questioning their skills. With a significant number of layoffs and a shift towards AI-driven processes, professionals are compelled to adapt in new and unexpected ways.
A Profession in Flux
In 2022, software engineering stood as one of the highest-paying occupations in the United States, with salaries often exceeding £150,000. However, the landscape has drastically altered since the introduction of OpenAI’s ChatGPT. Over 600,000 tech jobs have vanished, and the unemployment rate for computer science graduates has risen to 7%, according to data from the New York Federal Reserve. The stark reality is that tech job postings have plummeted, with a 36% decline noted between 2020 and 2025.
For many engineers, the promise of a solid career is now overshadowed by anxiety about job security and the relevance of their coding skills. “I used to feel like a leading voice in solution execution, but now the line between my decisions and AI’s contributions has blurred,” reflects one engineer, highlighting the disconcerting shift in responsibilities.
Adapting to New Norms
As the profession transforms, engineers are actively seeking to sharpen their skills and adapt to the evolving demands of their roles. Many, like George Dover from Portland, Oregon, have sought alternative pathways to remain relevant. After being laid off from his position at Inuit Mailchimp in late 2024, Dover pivoted to substitute teaching while simultaneously honing his understanding of AI. By generating and evaluating AI-produced code, he aimed to bridge the gap between machine assistance and traditional coding practices.
“I realised that understanding AI is crucial,” Dover explained. “I’ve tested its outputs rigorously to identify weaknesses and ensure quality.” His efforts paid off when he secured a new software engineering role focused on AI, demonstrating that an adaptive mindset can lead to new opportunities even in tumultuous times.
The Rise of Collective Action
In the face of uncertainty, many software engineers are turning to collective action as a means of safeguarding their interests. Kaitlin Cort, who left her engineering position to create a resource centre for tech workers, underscores the urgency of this movement. “I saw that the pace at which AI was evolving was outstripping my own skill development, leading to significant anxiety,” she shared.
Cort’s initiative, titled What We Will, aims to assist workers navigating layoffs and the challenges posed by AI. With an increasing number of engineers interested in unionisation, Cort’s centre is responding to a growing demand for support. “In just a few months, I’ve received numerous inquiries about forming unions and organising for better working conditions,” she noted.
The Future is Uncertain
Experts remain divided on the long-term implications of AI for software engineers. While some predict a decline in traditional coding roles, others argue that the ability to evaluate and direct AI-generated code will become increasingly valuable. Bouke Klein Teeselink, an assistant professor at King’s College London, asserts that the profession is evolving, stating, “The skill of writing code may be diminishing, but the ability to effectively use AI tools is where the future lies.”
While the immediate outlook for many engineers may seem bleak, there remains a glimmer of hope. As David Malan from Harvard University points out, the significant financial investments in AI technology suggest that human oversight will still be essential. “AI may augment software engineering, but it won’t entirely replace the need for skilled engineers,” he explained.
Why it Matters
The current upheaval in the software engineering sector is emblematic of a broader transformation within the tech industry. As AI continues to redefine job roles and expectations, professionals must navigate a landscape fraught with uncertainty. The move towards collective organising and a focus on upskilling illustrates a proactive response to these challenges. Ultimately, how software engineers adapt to these changes will determine not just their individual futures, but also the trajectory of the entire industry in an increasingly automated world.
