Software engineer Laura Housh began incorporating AI into her daily coding tasks in 2024, but two years later, she remains deeply conflicted about its utility. While she acknowledges that AI can offer guidance or act as a secondary observer, she notes that it often lacks the necessary context to be truly effective. “I’ve tried to use it for coding, and I just can’t get behind it,” she stated, emphasizing a preference for maintaining personal control over the creative process. For Housh, the industry’s constant pressure to adopt AI tools is exhausting, noting, “I don’t like losing control; I like critical thinking and curiosity. It’s just so important to be more curious than ever.”
Housh is not alone in her hesitation. A comprehensive survey from Stack Overflow, which gathered responses from 30,000 software developers across 169 countries, indicates that 60% of tech workers actively try to avoid using AI. These findings arrive as companies shift from experimental AI pilot programs to mainstream production. A January report by Deloitte revealed that over 54% of more than 3,200 surveyed business and IT leaders intended to move at least 40% of their AI experiments into full production within three to six months, raising the stakes for developers who must navigate these tools. According to Stack Overflow, a popular question-and-answer site for programmers, six in 10 tech workers who participated in a new survey say they try to avoid using AI. Which includes responses from 30,000 software developers in 169 countries, were shared exclusively with ahead of their Tuesday publication, the results of Stack Overflow’s 103-question survey. Software engineers have been at the forefront of the AI shift as one of the first industries to embrace the technology. According to last year, Google’s research division published a survey of 5,000 tech professionals from around the world and found that 90%, They use AI in their job — a 14% increase from 2024. About 45% described themselves as “complacent” with their jobs and only 22.3% are “happy.”.
The integration of AI into software development has created a complex professional landscape. While industry data from Indeed Hiring Lab identified software engineering as a primary target for AI-driven transformation, the actual adoption rate remains nuanced. Stack Overflow’s data shows that 65% of developers utilize coding agents or assistants, yet many harbor significant reservations. While 74% of respondents find AI useful for implementation and 72% for debugging, only 34.4% believe it aids in broader professional functions like design and communication. Furthermore, just 6.6% of those surveyed trust AI with critical decision-making processes.
Prashanth Chandrasekar, CEO of Stack Overflow, suggests that the rapid advancement of AI has exacerbated existing industry anxieties. He points out that developers are grappling with issues beyond mere job replacement; there is growing concern that honed skills are becoming obsolete and that entry-level programmers are facing unrealistic expectations. The pressure to constantly learn new coding tools in spare time is contributing to rising job dissatisfaction. Compared to the previous year, the number of developers reporting unhappiness has increased, with nearly one in three expressing dissatisfaction with their current roles. Factors such as tech fatigue, burnout, economic uncertainty, and limited upward mobility are primary drivers of this trend. According to nearly one in three, They are not happy in their current roles, compared to 28.4% last year. “People have to completely retool their jobs, and so it is quite unnerving for folks to know exactly how much of what they’re doing will be automated,” Chandrasekar told.
For experienced professionals like Audrey Eschright, who has two decades of experience as a software engineer, the friction arises because AI lacks both deep general expertise and the specific context of a long-term employee. Eschright argues that the act of manual coding is essentially the process of problem-solving. By offloading this to an AI agent, developers risk becoming disconnected from the systems they are meant to manage. This disconnect is compounded by the fact that roughly 78% of developers consider source attribution essential when auditing AI-generated code. As the tech industry continues to force an aggressive retooling of roles, many developers remain skeptical about whether these automated solutions can truly replicate the critical thinking required for high-level software development.
