How Much AI Is Really Used in Crypto Recruiting?

If you have ever fired off an application for a Crypto job and wondered whether anyone actually reads it, this one is for you. There is a lot of noise online about AI screening, “broken hiring processes,” and recruiters ignoring perfectly good candidates. The reality is a bit more nuanced.

We sat down with one of our delivery consultants Lauryn Ifill, to lift the lid on what actually goes on behind the scenes when you apply for a Crypto role. Here is what she had to say.

Human vs AI. Who actually reviews your application?

Do you review every application yourself?

Yes. Every single applicant gets looked at by a real person at Plexus. People often assume we batch everything into AI tools, but Web3 is too messy and too fast-moving for that. You’d miss out on great candidates if you didn’t actually dig into their experience.

Does automated screening actually help?

Only for very simple roles. AI still isn’t smart enough to understand Web3 nuance. It can’t tell the difference between someone who has been at a protocol for 6 months because of a market cycle, versus someone who hops every 3 months. It can’t tell what a good project looks like. It doesn’t understand the blurred lines between job titles and actual responsibilities. Helpful for admin tasks, not helpful for judgement.

What would an AI tool miss that you spot instantly?

Tenure. Impact. Context.
In Web3, duration of employment is a massive deal. Some founders want people who grew through multiple cycles with a project. Others want those who were hands-on during very specific periods of success. Standard applicant tracking tools just are not there yet. They see dates. They don’t see meaning.

What actually makes an application worth progressing?

Meeting the requirements. It sounds obvious, but about 90 percent of applicants do not meet even one requirement for the role. For the remaining 10 percent, we look at credibility. Which projects did you contribute to? Did the project grow while you were there? Did you actually drive outcomes?

That is what gets you through.

The practical stuff applicants never see

What gets a CV moved to the “maybe later” pile?

Lack of information. Vague titles like “freelancer.” Completely blank LinkedIn profiles. Anything that looks like you applied on a whim. If we have 1000+ applicants to get through, naturally we are going to prioritise the people who lay out their experience clearly.

What makes you fast-track someone?

Crypto is a name game. If you have worked for a strong brand or protocol, yes it helps. But it still has to match the role. A defi protocol background won’t necessarily help for an RWA project. Fast tracking applicants only happens when your experience aligns perfectly with what the project needs at that time.

How often do you recalibrate with the hiring manager?

All the time. There is a lot of noise on LinkedIn about roles being reposted after people get rejected. Usually this is just because the business has realised new requirements after the first interview rounds. Web3 priorities shift fast. A search might be completely recalibrated halfway through if the business needs have changed. It is not incompetence. It is the nature of a young, rapidly evolving industry.

How strict are founders about requirements?

Extremely. These teams are still small and every early hire has a direct impact on whether the project sinks or scales. This is not the environment for speculative hires or “potential.” Founders want safe hands with a proven track record.

Advice for applicants

The biggest mistake candidates make

Applying for roles they are not qualified for. All it does is inflate your rejection count. If you genuinely believe you can add value despite not meeting the listed experience, you should speak directly to the founder, not a recruiter.

What makes a CV easy to champion?

Real impact. Strong projects. Tangible evidence of success and growth.

You can ignore the CV coaches and AI polishing tools. Pretty formatting won’t fix weak experience. Recruiters and founders care about what you have done, not how glossy your document looks.

Final thoughts

A lot of the mystery around Web3 hiring comes from the fact that people assume there is some secret filtering process happening behind the curtain. In reality, most of it still relies on human decision-making, constant communication with founders, and a very clear understanding of what makes someone genuinely qualified.

If you take anything away from this, let it be this.
Match the requirements. Show your impact. Make your experience easy to understand.

Do that, and you are already ahead of 90 percent of applicants in Web3.