Skillfishing: How to Spot Candidates Who Overstate Their Skills

AI-written resumes make skills look better than they are. Skillfishing is a new trend recruiters must learn to spot without making candidates feel interrogated.

The term Skillfishing emerged in recruiting in 2025, after AI-generated resumes made candidates look more capable than they really were. Once hired, it turned out the skills claimed on the resume were far from a usable level. Screening by reading resumes alone is no longer enough. Recruiters need techniques to catch skillfishing without making good candidates feel interrogated.

What Causes Skillfishing

Exaggerating skills on resumes has been around for a long time, but in 2025 and 2026 the phenomenon changed in 3 ways.

Three Reasons Skillfishing Is Spreading

1. Free AI tools that write polished bullet points let ordinary people produce marketing-pro-level resumes
2. ATS screening with keyword matching taught people that keyword stuffing gets through
3. A tight job market with many applicants makes recruiters read resumes quickly and miss things easily

Senior recruiters in Thailand in 2026 consistently say that around 30 to 40 percent of incoming resumes contain inflated skills. It's not outright lying, but overemphasis. Catching it by reading alone is getting harder.

5 Warning Signs in a Resume

AI-assisted resumes have patterns that recruiters can train themselves to notice.

Signs That Call for a Deeper Look

• Every bullet point starts with an impressive action verb but has no specific details
• Results figures are neatly rounded, like 30 percent or 50 percent, with no business context
• Expert-level skills in areas that contradict each other, such as expert in both strategy and deep technical work
• Overly marketing-style language, such as spearheaded, innovative, transformative, architected, paradigm-shifting
• Unusually fast timelines for achievements, such as launching a new product within 3 months of starting

These signs aren't proof that a candidate is lying. They are signals to dig deeper in the interview round, not to reject immediately.

Interview Techniques That Catch Skillfishing

STAR-style questions give people room to tell a story, but skillfishers have their stories well prepared. In-depth questions that dig into the real context are harder to get through.

Questions That Dig

1. Ask about a wrong decision on that project and what they learned. People who are truly skilled remember.
2. Ask about the trade-offs they chose at that stage and why they chose that way
3. Ask about the people on the team and how work was divided: who took over, who the stakeholders were
4. Ask which metrics they used and how they measured them. People who did the work answer in multiple layers.
5. Request a short live exercise, such as drawing an architecture or writing a 5-minute plan

These questions separate people who did the work from people who were just in the meeting room. Practicing this interview style takes 2 to 3 rounds with the recruiting team.

Catching skillfishing isn't about catching candidates out. It's about checking that the skills claimed match the real work that needs to be done.

Using Practical Assessment

Pure interviews alone aren't enough. For technical or critical roles, assessing with small pieces of real work reveals the signal.

Assessment Formats That Work

• A 2 to 4 hour take-home assignment that reflects real work in the role
• Live coding or live design via screen share for 45 to 60 minutes
• A case study with real data to analyze and present
• Reference checks that ask about specifics, not just general impressions

Assessment design needs balance: hard enough to filter out skillfishers, but not so heavy that good candidates lose interest. In the candidate-driven 2026 market, assessments that take more than 6 hours see high drop-off.

Checking References Effectively

Asking references general questions, such as "what is he like?", gets answers that say nothing. Good reference checks ask specifics.

Reference Questions That Dig

• If you had to start this project again, which part would you give them, and which part would you give someone else?
• What did they need help from the team with to get the work done?
• What was the last feedback you gave them about, and how did they take it?
• What kind of role would they struggle in, and what kind would they thrive in?
• What position would you rehire them for, and what position would you not?

These questions force references to answer specifically, not generally. People who got through by skillfishing will have gaps in their references that can be uncovered.

Considering Bias When Catching Skillfishing

Trying too hard to catch skillfishing creates a stressful process for every candidate who goes through it, including honest ones. Good design means not piling assessments onto every position and every round.

Criteria for AI-assisted candidate vetting must watch out for bias. Read AI Candidate Screening and What HR Must Watch Out For to set up a safe system, and Background Checks in Thailand and PDPA to comply with the law.

Reducing skillfishing in the long run means designing JDs and assessments that match the real work. Read Writing Job Descriptions That Attract Top Talent and How ATS Reads Resumes in 2026 to understand the other side of the process.

For HR who want to practice in-depth interviewing, check out interview skill courses in Plants.work Learn or talk with a recruiting advisor via the Mentors page. In short, skillfishing is something recruiters in 2026 have to deal with. Catching it is a trainable skill, and it also shows respect for honest candidates.