Skill Phishing, Frontline Hiring & the Death of the Resume

TLDR:

Skill phishing, presenting skills and credentials that don't translate into real execution, is a hiring tools problem.

In this episode of the Human Capitalist Podcast, I sat down with Charlotte Merkler, CEO of e-culture, to talk about why AI is finally exposing the instruments we've been using for decades, why frontline hiring is more broken than most organizations want to admit, and what a modern skills-based hiring process actually looks like.

If you manage talent at any level, this conversation will challenge some assumptions you didn't know you were making.

• Watch it on YouTube: https://youtu.be/a-1eGE3u0Jo

• Watch/Listen on Spotify: https://open.spotify.com/show/57xtYAUsIYrg7gQ0a6RFwc

• Catch it on the Purple Acorn Networ

What Is Skill Phishing, And Why Should HR Leaders Care?

I came across a SHRM article that introduced a term I hadn't heard before: skill phishing.

The definition is simple, and immediately familiar. Skill phishing is the act of presenting skills, credentials, or capabilities that do not translate into real execution.

Every hiring manager has experienced this. You bring someone in based on what their resume says, and 90 days later you're wondering how you ended up here. We've always known this problem existed. We just didn't have a name for it.

What's changed is AI. Candidates can now feed a job description into any large language model and get a tailored, polished resume back in minutes. Cover letters that hit every keyword. Interview prep that mirrors exactly what you said you were looking for. The gap between what someone presents and what they can actually do has never been easier to manufacture.

Here's the thing though: I don't think we should be blaming candidates for this.

Charlotte said it better than I could:

"I'm actually extremely happy about the fact that this happens. It's an opportunity to finally expose the poor instruments that we've been using for such a long time. The CV would have been long gone if it were up to me."

And then she said something I thought was genuinely honest for a CEO of an assessment company: if she'd had the chance to polish her CV or hack an assessment using AI to get a job she wanted, she would have done it too. Because candidates just want the job.

That framing matters. The problem isn't candidate ethics. The problem is that we built an evaluation system on tools that were never that reliable to begin with, and AI just made that undeniable.

While we're blowing up the resume, can we also talk about job descriptions?

At some point, hiring organizations stopped writing job descriptions as scorecards and started writing them as advertisements. We're trying to make the posting shiny, aspirational, and attractive, and in doing so, we stripped out the specificity that actually makes an evaluation possible.

I reviewed a job description recently that opened with the phrase "dynamic individual." I struck the word immediately. When the person who wrote it asked why, I said: if you can tell me how to measure "dynamic," keep it in. If you can't, take it out.

Job descriptions that are vague are useless as evaluation tools. And when you layer AI on top of a vague job ad, you get candidates who mirror your language back perfectly, without it meaning anything about their actual capabilities.

If you want to solve skill phishing, start with the job description. Make it a scorecard, not a commercial.

The AI Literacy Paradox in Hiring

Here's something that frustrates me about the current moment in talent acquisition.

AI literacy has been steadily climbing the list of in-demand skills since 2023. Job postings increasingly mention it as a requirement. Organizations say they want people who can work with AI, adapt to it, and leverage it.

And then we penalize candidates for using AI in their job search.

That's a paradox we need to fix. SHRM actually called this out in their recommendations on skill phishing, their number two point was: do not assume someone is skill phishing simply because they used AI.

If a candidate used AI to write a better cover letter, that's not fraud. That might be exactly the skill you said you wanted.

Why Gen Z Is Pushing Hiring in the Right Direction

Something interesting is happening with Gen Z applicants that the data supports.

Previous generations pushed back hard on assessments. "I'm not taking a test. Hire me based on my qualifications." That resistance was real, and it created friction for companies trying to add structured evaluation to their process.

Gen Z's response is different. They're looking at a world where everyone's resume looks the same, because everyone's using the same tools to write it, and they're saying: give me the chance to show you what I can actually do. Match me to a job based on my actual skills.

That shift is going to force HR departments and hiring organizations to reassess the entire evaluation process. And I think it's going to be better, for retention, for engagement, and for the basic logic that people who are working in roles where their actual skills are being used tend to be more satisfied and more productive. That's not complicated. It's just common sense we've been ignoring.

Frontline Hiring Is More Broken Than You Think

I had Charlotte respond to a post I wrote about frontline hiring, and her opening line stopped me cold:

"A lot of frontline hiring processes are still built to filter people out as quickly as possible. The problem is the best frontline employees don't always have the best CVs or the patience for a broken application flow."

That's a precise diagnosis of a real problem. And the data backs it up. Job openings in frontline roles keep increasing, but application volume is going down. People are opting out of the process before it even starts.

Here's why, according to Charlotte:

1. First, frontline hiring is almost always high volume. That requires a completely different process design than corporate recruiting. Most companies treat them the same, which is the first mistake.

2. Second, the CV is essentially useless for frontline roles. If you're hiring someone for a retail floor, a call center, or a logistics operation, the skills that make them successful are behavioral and soft-skill based. What they did before is largely irrelevant. Yet most frontline hiring processes still require a CV upload, which immediately drops off a huge percentage of qualified candidates.

3. Third, there's a false belief that you have to choose between an easy application process and a quality one. That's not true. It's a false binary that most organizations accept without questioning.

How to Choose the Right Assessment (And Not Just Add Bias to a Scoring Model)

This is where most organizations go wrong even when they're trying to do the right thing.

Charlotte laid out three rules:

Rule 1: Soft skills matter for every role, including frontline. The assumption that behavioral assessment is only relevant for white-collar positions is wrong. Whether someone thrives in a fast-paced, high-error-tolerance environment vs. a slower, high-accuracy environment has nothing to do with whether they're qualified, but it determines whether they'll be happy and how long they'll stay.

Rule 2: Calibrate your assessment to your actual workforce. Don't let managers click a list of competencies they think sound important. That's just putting their bias into a scoring model. Before you roll out any assessment, run your high performers and your low performers through it. Find the patterns that separate the top from the bottom. Only measure what actually predicts success in your specific context.

Rule 3: Make sure it's AI-resistant and candidate-friendly. Long, black-and-white personality tests have low completion rates and can now be gamed with a single ChatGPT prompt. Game-based formats are harder to fake because they measure behavior in the moment, not answers to questions.

I want to add something to Charlotte's framework that I've used throughout my career.

An assessment should never be pass or fail. It should be one leg of a three-legged stool.

• Leg one: Experience and skills represented in the job description, validated against the resume.

• Leg two: Interview feedback, what you heard in their examples, how they thought through problems, what their judgment looks like in real scenarios.

• Leg three: The assessment, a different kind of data point that reveals things the resume and interview can't easily surface.

When all three legs are balanced, you have high confidence. When one leg contradicts the others, you have a conversation to have, not a disqualification.

The assessment also makes the interview better. Don't just look at the score and move on. If the assessment shows someone scores low on receiving feedback, bring that up in the interview. Use it to probe deeper. You're not trying to trap anyone, you're trying to understand them fully. That's what the tool is for.

Internal Mobility: Pointing the Assessment Inward

Here's the use case I think is the most underutilized in the market right now.

Most organizations use assessments in one direction: here's a job, here's a candidate, does this person fit? Binary. One-directional.

What if you flipped it?

Charlotte's team supports a model where employees complete a broad suite of assessments, not tied to a specific opening, and the platform tells them what roles within the organization are the best fit for their skills, behavioral profile, and potential. Different personas (retail, technical, leadership, finance) have different skill signatures. The assessment matches people to the right one.

This is especially powerful for frontline workers who want to move into office or professional roles but don't know what to pursue. They go to their manager and say "I want to do something different, I just don't know what." An assessment that can give them a direction is an incredibly powerful retention and development tool.

Two ways Charlotte's clients are using this:

Model A: A job opens and internal applications are allowed. Candidates go through the same process as external applicants, same knockouts, same assessments, same interview structure. No special treatment because someone already works there. That's the only way to keep it objective.

Model B: Broad, open-ended assessment where the output is a career direction recommendation, not a match to a specific job. This surfaces the untapped talent that's been sitting inside the organization for years.

Recruiters can flip this further, use assessment data to proactively source for internal openings. Find the person with high critical thinking scores and product management skills and reach out to them before the role is posted. That's not just good recruiting. That's the kind of proactive career development that makes people stay for 11 years.

What We're Only Getting 20% Of

Charlotte said something near the end of our conversation that I can't stop thinking about.

Most organizations use assessments for about 20% of their actual value. The other 80%? It's sitting unused in the onboarding process, the training curriculum, and the internal mobility program.

If someone scores low on receiving feedback during the assessment, that data shouldn't disappear after the hire decision is made. It should go to the training team so they can build that into the new hire's first 90 days. The assessment has already told you where this person may need development. Use it.

That's treating assessment data like the strategic asset it actually is.

The Bottom Line

Skill phishing isn't a new problem. It's an old problem that AI just made impossible to ignore.

And that's a gift, if we're willing to use it.

The hiring tools we've been relying on were never as reliable as we pretended. The resume, the motivation letter, the keyword-stuffed job ad, none of it was getting us to truth. It was getting us to comfort.

The organizations that come out ahead in this shift will be the ones who replace comfort with clarity. Who build processes designed to reveal actual skills and fit. Who invest in their frontline the same way they invest in their knowledge workers. Who use assessment data end to end, from hire to onboard to develop to promote.

This is not the future of HR. It's the work that should have been done years ago.

The market just finally ran out of excuses.