By Pam Thornton
When candidates can “perform” competence, hiring gets harder and riskier. A new term called skillfishing is starting to surface in hiring conversations. It sounds like a buzzword but It’s not.
Skillfishing is using AI to simulate or inflate skills during the hiring process and in some cases, even on the job. Candidates are leveraging AI to generate responses, complete assessments, and produce work that appears credible, polished, and technically sound.
HR isn’t hiring polished answers. HR is hiring capability. And right now, the line between the two is getting harder to see.
What’s Actually Changing
Let’s be realistic. This isn’t about candidates cheating. This is about a fundamental shift in how work gets done.
AI has changed three things overnight:
- Access: Anyone can now produce expert-level output
- Speed: Responses are faster, cleaner, and more complete
- Signal reliability: Resumes, interviews, and work samples are no longer reliable indicators of individual capability
That last point is where HR should be paying attention. Resumes and interviews have never been the top indicator of a successful hire, but now it’s an even more elevated reality. Skills testing in real time is the only way to really achieve reliability. Let’s realize and own the fact that the traditional hiring process was built for a pre-AI world. It was never designed to verify who actually did the work. Most hiring processes are optimized for efficiency and polish like well-crafted resumes, structured interviews, and take-home assignments all of which can now be significantly enhanced or even produced by AI.
This gap introduces a new kind of risk, hiring individuals who can generate strong answers but struggle to operate without AI, overestimating their true capability based on AI-assisted performance, and overlooking critical gaps in judgment, prioritization, and decision-making. Those gaps don’t show up until the work gets real. It’s scary times for hiring managers.
Before HR swings too far in the other direction, it’s important to ground in reality. AI use is not the problem. In fact, AI fluency is quickly becoming a baseline expectation. The goal isn’t to eliminate AI from the hiring process, it’s to understand how candidates are using it and what they can do beyond it. There’s a clear difference between AI as a tool and AI as a crutch, and that’s what HR needs to learn how to assess. This isn’t a tweak. It’s a redesign. Skillfishing is going to force HR to rethink how it evaluates talent.
5 Hiring Redesigns for the AI Era
From Answers to Thinking
Polished answers are now easy to produce. What matters is how candidates approach a problem, how they process incomplete information, and how they adjust when the situation changes. If your interview process doesn’t reveal that, it’s already outdated.
From Static Proof to Live Demonstration
Resumes and portfolios are increasingly unreliable as standalone signals. HR needs to shift toward live problem-solving, interactive case discussions, and real-time decision-making scenarios. Stop asking candidates what they would do, start watching what they actually do.
From Knowledge to Judgment
AI can provide information, but it cannot prioritize competing demands, navigate ambiguity, or make context-driven decisions. Those are the capabilities that differentiate performance, and they need to be evaluated intentionally.
From Assumed Integrity to Defined Expectations
Most organizations haven’t clearly defined whether AI use is allowed during hiring, what “independent work” means in an AI-enabled environment, or where the line is between support and misrepresentation. That ambiguity creates inconsistency and risk.
The Bigger Shift: Output vs. Ownership
Skillfishing is exposing a deeper issue. HR has been overvaluing output and undervaluing ownership. AI can generate output, but it cannot take accountability for outcomes, influence stakeholders, or navigate organizational complexity. That’s where human capability still matters and where HR needs to refocus on what they are analyzing.
What HR Leaders Should Do Now
This isn’t theoretical, it’s already happening. The organizations that get ahead of this will audit their hiring processes for AI vulnerability, train hiring managers to probe for thinking rather than polished answers, and incorporate more live, dynamic evaluation methods. They will also define clear expectations around AI use and accountability. Most importantly, they will stop confusing polished performance with actual capability.
Skillfishing isn’t a passing trend. It’s a reflection of a workforce learning to operate with AI. The risk isn’t that candidates are using AI. The risk is that HR hasn’t evolved how it evaluates talent.
My question for you is: Are you hiring people who can do the work, or people who can produce the appearance of work?
Here’s a tool to help you figure this out. I’ve created apractical guide for HR leaders who want to assess real capability not just AI-assisted performance. Check it out and please reach out with any questions you have. I’m here. In real time. In the flesh! Click Here for the Skillfishing Playbook