For years, hiring technology talent followed a predictable formula. Test the skills, run the technical interview, check references, make the call. The candidate who scored highest on the coding challenge or answered the most system design questions correctly usually got the offer.
That formula is starting to evolve. Hiring tech talent in the AI era means rethinking not just the questions asked, but the answers you’re looking for.
As AI tools take over more of the routine technical work, the skills that separate a good hire from a great one are shifting too. According to ZipRecruiter’s 2026 AI Employer Report, a majority of employers now say critical thinking (65%), judgment and decision making (59%) and creativity (58%) carry more weight in their hiring process than they did a year ago. What candidates need to know is shifting, and so is what employers need to look for.
AI Raises the Bar
PwC’s 2026 Global AI Jobs Barometer, which analyzed more than a billion job postings across six continents, found that AI is rapidly reshaping the skills employers want most, with growing emphasis on judgment, creativity and leadership. The firms moving fastest use AI to absorb routine tasks, freeing their teams to focus on work that requires human judgment.
That shift changes the calculus for hiring managers. When agentic AI tools can write code, summarize a ticket backlog or generate a first-pass design, being able to execute a known process is a much smaller differentiator than the ability to look at a problem no one has solved yet and figure out where to start.
Behavioral Interviews in Tech Hiring
Employers are already adjusting how they evaluate candidates, not just what they evaluate for. A 2026 hiring trends report from Willo, based on responses from more than 100 hiring professionals and 2.5 million candidate interviews, found that employers are moving away from polished written applications and leaning more heavily on behavioral interviews, skills tests and practical assessments. Nearly half of the teams surveyed said they had updated their interview techniques specifically to probe deeper, a direct response to how easy it has become for a resume or cover letter to be AI-generated.
For technology roles, this often means adding a conversation that surfaces how a candidate actually thinks to the hiring process. Instead of asking a candidate to reproduce a known solution, employers might ask:
- Walk me through a time you solved a problem with no clear playbook to follow.
- Tell me about a project that didn’t go as planned. What did you do next?
- How do you decide when to keep pushing on a problem versus asking for help?
- Describe a time you had to explain a technical decision to someone who disagreed with you.
None of these questions can be answered by pointing to a certification or a bullet point on a resume. They are designed to surface curiosity, resilience, collaboration and judgment, the traits AI still cannot replicate on its own.
Curiosity and Creativity in Hiring: The Real Differentiators
As emerging technology continues to reshape how organizations approach talent strategy, the same pattern keeps showing up: professionals who thrive are the ones who can imagine new ways to solve problems.
As a result, curiosity and creativity deserve a real place in the evaluation process, not just a mention in the job posting. A candidate who asks good questions about a problem before jumping to a solution, or who can describe a time they proposed a different approach than the one they were handed, is showing you something a skills test cannot.
Hiring Tech Talent Going Forward
None of this means technical skills testing goes away. A candidate for a technical role still needs to demonstrate they can do the work. But technical competence is becoming the floor, not the differentiator. Employers are finding that the interview process that wins the best candidates is the one that also makes room to evaluate curiosity, judgment, adaptability and creative problem solving, the qualities that determine whether a technically capable hire becomes a genuinely valuable one.
The same human skills that make a candidate stand out are the ones employers should be screening for. Additional attributes such as empathy, collaboration, leadership and communication are hard for machines to replicate, which is exactly why they matter as AI takes on more of the routine work. Employers who build that thinking into how they screen, interview and select candidates can build teams with greater potential as AI continues to reshape what the work actually looks like.
In short, how to hire tech talent in the AI era comes down to three shifts: testing for judgment and adaptability alongside technical skills, using behavioral interview questions that surface how a candidate thinks, and treating curiosity and creativity as evaluation criteria, not just resume language.
If your organization is rethinking how to evaluate technology talent in an AI-driven market, BravoTECH works with hiring managers to find candidates who bring both the essential technical and human skills each role requires. Get in touch to make your next technical hire.