AI is changing this job so fast the interview process can’t keep up
AI is changing this job so fast the interview process can’t keep up
AI is changing this job so fast – The software engineering sector is undergoing a seismic shift, driven by the rapid integration of artificial intelligence into daily workflows. As AI tools become more sophisticated, they are not only streamlining tasks but also challenging traditional hiring practices. The competition for open positions has intensified, with tens of thousands of job cuts across the industry creating a more demanding landscape for candidates. Employers are now grappling with a fundamental question: How can they effectively assess skills when AI is capable of generating code, analyzing data, and even troubleshooting problems in real time?
Software engineering interviews, once a cornerstone of evaluating technical proficiency, are struggling to adapt. Firms that once relied on rigid, standardized tests are now questioning their relevance. These assessments often focus on understanding code, but they fail to capture the evolving role of engineers who increasingly delegate tasks to AI agents. As a result, both job seekers and hiring managers find themselves in uncharted territory. “I would say AI has hit engineering interviewing like an atomic bomb,” said Stefan Mai, a former Meta and Amazon engineer and cofounder of Hello Interview, a tech interview coaching service. His comment underscores the magnitude of change sweeping through the industry.
The Rise of AI in Engineering
The impact of AI on software engineering is undeniable. From code generation to documentation, the technology is reshaping how professionals perform their duties. A recent report from Google’s research division revealed that 90% of tech workers now use AI for coding tasks, a significant jump from 76% the previous year. This trend highlights the growing dependence on tools like Antigravity, which Varun Mohan, a director at Google DeepMind, described as “mostly” responsible for writing internal applications. “We think developers should spend most of their time trying to figure out what they should build,” Mohan emphasized to CNN, pointing to a shift in focus from execution to strategic decision-making.
Similarly, OpenAI’s Greg Brockman noted that AI has accelerated development timelines. He recounted a scenario where an engineer used AI to implement a system change that would have otherwise taken a week to complete. These examples illustrate how AI is not just augmenting work but fundamentally altering the pace and nature of engineering tasks. However, the same tools that boost productivity are also sparking concerns about fairness. “The first thing they say is, you’re not supposed to be using any AI tools, no AI assistance, nothing to help you solve this problem,” David Barajas, a software developer, told CNN during a recent interview. His experience reflects a growing disconnect between what candidates are actually doing and what interviews are testing.
A Growing Gap Between Skills and Assessment
Many hiring managers are caught off guard by the gap between current job requirements and interview methods. Jordan Leonard, cofounder and COO of Leopard.FYI, a tech hiring network for women and genderqueer engineers, argued that traditional assessments no longer align with the realities of modern engineering work. “There is that gap, it’s just grown wider (because of AI),” she said, highlighting how the role of software engineers is evolving. For instance, Boris Cherny, head of Claude Code at Anthropic, shared that “100%” of his contributions to the product in the past 30 days were generated by AI. He believes the title “software engineer” may soon become obsolete, with terms like “builder” better reflecting the profession’s new emphasis on high-level design and problem-solving.
Despite these changes, some companies remain hesitant to embrace AI’s full potential. Madhu Kurup, vice president of engineering at Indeed, drew a parallel between AI in software engineering and Google Maps’ influence on navigation. While Google Maps provides real-time directions and identifies points of interest, it doesn’t determine the destination or set the departure time. Similarly, AI tools assist engineers in executing tasks but don’t replace the judgment required to define a project’s scope or goals. “AI isn’t meant to replace engineers,” Kurup said, “but it’s changing how they approach their work.”
The challenge lies in reconciling this reality with the interview process. Companies continue to use tests that prioritize code understanding over collaboration with AI. Sujata Sridharan, a veteran software engineer with over a decade of experience, noted that the majority of firms she recently interviewed with still rely on conventional coding challenges. “They don’t measure how workers delegate tasks to an agent and use AI to navigate issues, brainstorm or work more efficiently,” she explained. This disconnect has left candidates in a difficult position, as they are expected to demonstrate skills that may no longer be central to the role.
AI’s Influence on the Job Market
As AI reshapes the profession, it’s also affecting employment trends. The latest data from Challenger, Gray & Christmas, an executive outplacement firm, indicates that AI was the top reason cited for job cuts in April for the second consecutive month. This trend reflects a broader industry shift, with layoffs in 2025 and 2026 signaling the technology’s impact on payrolls. While AI is not replacing engineers outright, it’s redefining what qualifies as essential work, prompting questions about the value of traditional coding skills in an AI-driven world.
For many, the fear of being outpaced by automation is palpable. “Now that AI can write code, how can you figure out who – or even what skillset – makes a good software engineer?” asked one hiring manager, encapsulating the dilemma at the heart of the industry. The answer, however, seems to lie in adapting the interview process to reflect the new reality. Companies must now evaluate not just a candidate’s ability to write code, but their capacity to integrate AI tools effectively and leverage them for innovation.
The urgency to update hiring practices is underscored by the growing reliance on AI across the sector. While some engineers feel unprepared for these changes, others are already incorporating tools like Cursor into their workflows. David Barajas, who has been navigating multiple interviews in recent months, noted that recruiters rarely ask about how AI is used in the field. “It’s like they’re still assessing skills from a bygone era,” he said. This highlights a critical need for the industry to rethink its evaluation methods, ensuring they align with the evolving demands of the role.
As AI continues to redefine software engineering, the interview process must evolve in tandem. Firms that fail to adapt risk missing out on talent that can thrive in an AI-enhanced environment. For now, the challenge remains: How can the hiring process accurately measure the skills of engineers who are no longer just coders, but strategic thinkers and innovators working in partnership with intelligent systems?
