When Ellis Neder interviewed for the role of head of design at Foxglove, a platform for robotics developers, he wasn’t asked to provide a polished portfolio or a list of accolades. Instead, he was asked to show up and actually do the job. He flew to San Francisco for a long weekend, spent several days in the office, and worked through a real-world user experience issue within the company’s app. It was a trial by fire—and Neder loved it.
Today, Neder oversees these work trials for every single role at Foxglove. When candidates ask if they can use AI during the process, his answer is a definitive yes: “We expect you to use AI, and we will give you whatever AI tools you seek.” For Foxglove, the trial isn’t just a competency test; it is a window into the company’s actual pace and a way to ensure a candidate can “walk” in an era where generative AI allows almost anyone to “talk.”
The death of the paper trail
The traditional résumé is losing its cachet. In a landscape flooded with AI-generated “slop,” hiring managers are increasingly viewing online portals as voids. The result is a pivot toward a “show your work” era of job hunting. It is no longer enough to list a GPA or a former employer; candidates are being asked to perform live, much like a musician’s audition or a student’s in-person exam.
This shift is driven by a fundamental distrust of static credentials. AI has made it possible to fabricate expertise or polish a CV to perfection, but it cannot simulate the ability to solve a problem in real-time under the gaze of a team. This is why companies are turning to work simulators—such as Rounds, which uses an AI agent named Sophia to lead candidates through technical simulations—or asking finance applicants to decipher complex spreadsheets on the spot.
The data suggests this is more than a startup trend. According to an analysis from the Brookings Institution, job postings requiring AI skills quadrupled from roughly 50,000 in March 2024 to nearly 200,000 recently. A 2025 survey from the National Association of Colleges and Employers found that the proportion of employers using skills-based hiring rose to 70%.
The adaptability premium
Beyond hard technical skills, there is a growing obsession with “capability-mapping”—the search for traits that correlate with success in a volatile environment. Some leaders are now prioritizing personality over prestige. Davide Grieco, head of growth at Clay, has built a team not from Huge Tech veterans, but from people demonstrating “obsession, creativity, and the ability to multitask.” His hires include a top NCAA artistic swimmer and an applicant who simply joined his livestream and started participating.

This trend toward “vibe coding” and adaptability is echoed by recruiting experts like Michelle Volberg of Twill, who notes a surge in demand for former athletes. The logic is simple: in a world where AI changes the nature of a job every six months, knowing how to do a specific task today is less valuable than the innate ability to learn and pivot tomorrow.
For minor firms, this approach is a risk-mitigation strategy. Peter Grafe, cofounder of BlueAlpha, pays candidates $2,000 or covers their travel to San Francisco for multi-day trials. “Everyone can code something within 48 hours,” Grafe says. The goal is to see how a candidate thinks and whether they can use AI to become “10X faster.”
Efficiency as the new benchmark
The pressure to prove value doesn’t end at the hiring stage; it has moved into performance reviews. Big Tech companies are now tracking exactly how employees use AI to justify productivity gains. Meta provides a stark example: after implementing layoffs and adopting AI over the last three years, the company’s revenue per employee has jumped to an average of more than $2.5 million per worker.
However, a tension remains between the agility of startups and the inertia of large corporations. For massive firms, sorting thousands of applicants by degree is simply easier than conducting individual skills assessments. Moe Hutt of HireClix notes that while large companies are adding tests to their process, it is often a “knee-jerk reaction” to verify that a candidate is real, rather than a genuine attempt to prioritize aptitude over experience.
Despite this, the trajectory is clear. Whether it is through an application portal that ignores CVs entirely—like the one used by Jake Ward of Contact—or a week-long in-office trial, the burden of proof has shifted. The modern candidate is no longer asked to tell the employer what they can do; they are expected to do it.
How is AI actually changing the interview process?
AI is acting as both the disruptor and the tool. Because it can automate the creation of resumes and cover letters, employers are moving toward live simulations and “work trials” to verify authenticity. Simultaneously, AI is being integrated into the evaluation itself; companies now expect candidates to use AI tools to solve problems faster, treating AI competency as a core requirement rather than a bonus.
Why are companies hiring former athletes or people from non-traditional backgrounds?
Employers are increasingly valuing “adaptability” over specific white-collar experience. Because AI evolves so rapidly, specific technical knowledge can become obsolete quickly. Traits associated with competitive athletics—such as discipline, obsession, and the ability to perform under pressure—are seen as better indicators of a candidate’s ability to thrive in a rapidly changing workplace.
What does “revenue per employee” have to do with AI hiring?
It serves as a metric for AI’s impact on productivity. Companies like Meta are using this figure to demonstrate that a smaller, AI-empowered workforce can generate more value than a larger, traditional one. This creates a higher bar for new hires, who must now prove they can integrate AI into their workflow to maintain or increase these efficiency levels.
Will the traditional resume disappear entirely?
While unlikely to vanish completely—especially in large corporations where it remains a convenient sorting tool—the resume is losing its status as a primary validator of talent. The market is shifting toward a model where results, launched projects, and live demonstrations of skill carry more weight than a list of previous employers or degrees.
As the barrier between “talking” and “doing” continues to shrink, are you prepared to audition for your next job?




