“Every minute, 11,000 job applications hit LinkedIn, many written by AI, not humans. Welcome to recruiting’s new reality.” This was one of the many interesting takeaways I took from Episode 157 of my favourite AI Podcast – The Artificial Intelligence Show

This isn’t a dystopian sci-fi plot. 🔭 It’s happening right now. And if you work in recruitment or HR, you’re probably feeling it in your inbox, your LinkedIn messages, and your stress levels.

The waves keep coming. The AI tide is rising. And we’re all just trying not to drown. 🤿

So, let’s talk about what’s actually happening, why it matters, and, crucially, what we can do about it.

The Applicant Tsunami: How AI in Hiring Changed Job Applications Forever

I recently listened to Episode 157 of The Artificial Intelligence Show (Paul Roetzer and Mike Kaput). (I highly recommend this Podcast for its brilliant insights without any AI doomsday wailing.)

In this episode, they unpack a piece from The New York Times describing a tidal wave of AI-generated job applications. Let’s start with the sheer scale of it:

⬆️ Job applications on LinkedIn have jumped 45% in a single year.

⬆️11,000 applications are submitted every minute on LinkedIn alone.

⬆️Many of those are generated, tailored, and spammed out by tools like ChatGPT.

It used to be impressive for a job seeker to send 20 or 30 applications during a job hunt. Now, thanks to AI, some candidates are sending 300, 500, or even 1,000 applications a year.

That’s not a talent pipeline. That’s a firehose 🚒 aimed squarely at recruiters.

The Arms Race: AI vs. AI

Job seekers have discovered that AI tools can:

☑️Instantly rewrite their resumes to make them more suitable for each job ad.

☑️Use ChatGPT to pack resumes with every keyword from the job description.

☑️Auto-apply for hundreds of jobs without lifting a finger.

☑️Even answer pre-screening questions in online applications.

Some are taking it a step further, paying for AI agents that autonomously search for jobs, complete applications, and schedule interviews on their behalf.

On the other side of the fence, employers are deploying their own AI defences:

☑️Bots screen and score resumes.

☑️Video interviews run with AI analysis of facial expressions, tone, and word choice.

☑️Game-based assessments measure problem-solving skills under pressure.

It’s AI fighting AI. Which sounds futuristic… until you remember humans are the ones trapped in the middle.

Authenticity Crisis: Can Anyone Trust Anyone Anymore?

Here’s the elephant in the room: authenticity.

Because when every resume looks the same, stuffed with the same keywords and the same AI-polished bullet points, how do we know:

⁉️Who actually wrote it?

⁉️Who genuinely possesses the skills claimed?

⁉️Who’s a real person, and who’s a fabricated identity?

Even interviews aren’t safe. We’ve all heard the horror stories, some candidates cheat during virtual interviews, with AI whispering real-time responses through a second device or browser window.

Imagine interviewing someone for a software developer role… and their answers are being piped in from GPT-4 while they nod along, looking suitably earnest.

It’s not just speculation. One college career executive told the show: “I’ve had students accused of using AI in the interview process. The student swears they weren’t cheating. But in a virtual interview, when they have access to a computer, it’s hard for the recruiter to know.” 🤔

Entry-Level Work: The First Casualty

Here’s where it gets even more complex. Derek Thompson, writing for The Atlantic, recently explored AI’s impact on entry-level hiring.

He discovered that rather than destroying jobs outright, AI is shattering the job search process itself.

Twenty years ago, it was rare for graduates to apply for more than 20 jobs in a season. Now, as Thompson uncovered:

✔️Many graduates send out hundreds of applications each.

✔️Platforms like Handshake let them apply for dozens of jobs in seconds.

✔️AI tools auto-generate resumes and cover letters for each application.

Multiply that by two million graduates per year in the U.S. alone, each applying for 50-100 jobs… and you’re looking at 100 to 200 million applications for entry-level roles annually. 🤯

Recruiters are humans. They can’t possibly sift through that volume and still find genuine talent without going cross-eyed.

The GPA/Marks Problem

Another insight from Thompson’s article is that AI is eroding trust in academic signals like GPA and degrees. If students are using AI to write essays, complete assignments, and ace online tests, what does a high GPA (or marks) actually mean?

Employers are left wondering: Can I trust this candidate’s qualifications? AND does their transcript reflect real learning or AI-assisted shortcuts?

As the podcast hosts discussed, there’s a growing sense that neither side fully trusts the other anymore. ⚡And that’s a dangerous place for hiring to be.

So, What Happens Next?

I really do not feel that carrying on like this is sustainable for either Job Applicants and Recruiters in the future. So what possibilities are there?

1. The Arms Race Escalates 🚀
   Both sides keep upgrading their AI tools. Candidates deploy more sophisticated bots. Employers counter with even more complex assessments. Everyone’s stressed. No one’s happy.
2. The Pendulum Swings Back 🕰️
   At some point, companies may throw up their hands and say, “Enough. We’re going back to human conversations and trusted networks.” Instead of wading through oceans of applications, they might focus on referrals, internal talent pools, and direct networking.
3. Hybrid Future: Man + Machine 🤝
   AI stays in the process, but humans take back the critical decision-making. AI sorts applications and flags possible fits. Humans run interviews focused on values, culture, and real skills. Companies emphasise authentic relationships and trust. (This is my favourite option!)
4. Regulation Cracks Down 📜
   Governments, particularly in the EU, are labelling AI hiring tools as high-risk systems. The EU AI Act could make some current practices illegal or highly restricted.

We may see tighter controls over:

⛑️AI scoring in hiring decisions.

⛑️Biometric analysis during interviews.

⛑️Automated rejection processes.

My Advice for Recruiters and HR Leaders

So… what should we actually do?

Here’s my perspective as someone who’s both a sourcer and a trainer, and is still actively in the trenches:

✅ Don’t Rely Solely on Paper
Resumes tell you less and less. Get candidates talking. Probe for real examples. Use practical assessments to test genuine skills.

✅ Lean Into Authentic Conversations
Whether live, virtual, or async video, try to engage candidates as humans, not just data points. AI can’t fake a passion for your mission or recall a real-life story about problem-solving.

✅ Stay Curious About Tools, But Sceptical
Test new AI tools, but keep your critical thinking hat firmly on. Just because a vendor promises to “solve your hiring problem with AI” doesn’t mean they will.

✅ Educate Candidates Too
Be transparent. Let candidates know you’re open to them using AI for drafts or prep, but expect honesty and authenticity. Set the tone early for a fair process.

✅ Consider Building Talent Pools Outside of Mass Applications
Networking, referrals, meetups, communities — these human connections will only grow in value as digital noise increases.

✅ Keep Ethics Front and Centre
Remember, AI should empower people, not replace human judgment. Make sure your tools are inclusive, fair, and explainable.

A Final Thought

The future of hiring might not be man or machine. It’s man and machine – working together to cut through the noise, preserve trust, and find real human talent amid the applicant tsunami. 🌊

So, yes, AI is transforming hiring. But the best recruiters and HR leaders? They’ll keep bringing the human touch, the intuition, and the empathy that no algorithm can replace.

And if all else fails… pour yourself a strong coffee. You’ll need it. ☕

TL;DR – The New Rules of AI in Hiring

• AI floods recruiters with applications like never before.
• AI tools help jobseekers apply at scale.
• Employers fight back with AI screening and assessments.
• Authenticity is harder to verify across the hiring process.
• Recruiters must balance AI use with human connection.
• Staying curious but sceptical is the key to future-proofing.

FAQs About AI in Hiring

Q1. How many job applications are submitted on LinkedIn every minute?
Over 11,000 applications hit LinkedIn each minute, many generated by AI tools.

Q2. Why is AI creating an applicant tsunami in hiring?
AI lets job seekers rapidly generate tailored resumes and auto-apply, overwhelming recruiters.

Q3. Can employers trust resumes written with AI tools?
It’s getting harder. Many resumes look identical, raising doubts about authenticity and skills.

Q4. How is AI used on the employer side in recruitment?
Employers use AI for resume screening, video analysis, and fast-tracking candidates.

Q5. Will AI replace recruiters completely?
No. The future likely belongs to humans working alongside AI to preserve trust and find real talent.

Call to Action

Curious about how to future-proof your hiring strategies? Check out my Talent Sourcing Training or get in touch with me with any questions that you may have – I am always open to a robust discussion on this topic!