Originally featured on Thoughts on Tech and Things with Jason Michael Perry, WYPR
I’ve spent 20 years in recruitment and staffing. I’ve watched the industry evolve through job boards, social media, and now artificial intelligence. But what’s happening right now? This is different. This isn’t a new channel or a new tool — it’s a fundamental restructuring of how talent and opportunity find each other. And it’s creating problems on both sides of the hiring equation, for both Employers and Job Seekers, that most people aren’t talking about.
I recently sat down with Jason Michael Perry on his WYPR podcast Thoughts on Tech and Things to dig into what I’m seeing on the front lines of life sciences recruiting. What follows are the key insights I shared — and what I believe every employer, HR leader, talent acquisition professional, and job seeker needs to understand right now.
The AI War Between Candidates and Companies Is Real
The headline story is well-known by now: AI-powered tools allow job seekers to generate polished, perfectly tailored resumes and cover letters at scale. Platforms can even detect which applicant tracking system (ATS) a company uses and optimize applications to pass through filters. The result is an avalanche of seemingly perfect resumes hitting hiring managers’ inboxes — with no typos, no formatting issues, and language that mirrors the job description precisely.
But here’s what gets lost in that conversation: hiring managers are drowning too.
The ability to glance at a resume and quickly sort it — a skill recruiters spent years developing — has been effectively neutralized. What used to be a manageable inbox is now an unfiltered flood. And the frustration doesn’t stop at volume. When every resume looks perfect, how do you identify the genuinely exceptional candidate? When video interviews may feature candidates using real-time AI assistance to answer questions, how do you assess authentic expertise?
I compare it to cybersecurity. Every time a company builds a better defense, attackers develop a better offense. The job market has become that same kind of zero-sum arms race — and it’s exhausting for everyone involved.
The Currency That AI Cannot Manufacture: Trust
Amid all this technological noise, I keep coming back to one word: trust.
Hiring managers want to trust that the resume reflects the real person. They want to trust that the individual on the other end of a video screen genuinely has the skills they’re claiming. Job seekers want to trust that their authentic qualifications are actually being seen — not filtered out by an algorithm before a human ever reviews their application.
Here’s the uncomfortable reality: AI, for all its power, is making trust harder to establish — not easier. And that’s precisely why I believe the pendulum is swinging back toward fundamentals.
In-person networking, community events, and real human connection are becoming more valuable, not less, in this highly digitized world. It’s not nostalgia — it’s strategy. When everyone’s resume is flawless and every interview can be coached in real time, the differentiator becomes the authentic relationship you’ve already built. The talent acquisition leader I spoke with on the way to this podcast recording put it plainly: hiring is down, every position is critical, and she’s doing more in-person events than ever before to find the right people.
This is the philosophy at the core of what we’ve built at BioBuzz — a community-powered platform that goes well beyond a job board. We host events, provide career navigation, and build authentic connections within the life sciences ecosystem. Because at the end of the day, resumes don’t connect us as humans. Stories do.
What Job Seekers Should Do Right Now
For the candidates I work with — whether they’re fresh out of college or seasoned professionals navigating a tough market — here’s the framework I give them:
1. Know your destination, but be flexible on the path. The gig economy is real, and it’s in life sciences too. If the full-time role you want isn’t available today, a contract position or part-time role can be the on-ramp that gets you there. Your career isn’t a single transaction — it’s longitudinal.
2. Develop your elevator pitch and tie it to a story. Know what you’re good at, what you want to do, and what people will pay you for. That trifecta is your North Star. Then build a narrative around it. Entry-level unemployment is running about 30% higher than it was three years ago — graduates are entering a more challenging market than their predecessors faced. The candidates who rise above that reality are the ones who can articulate their expertise with clarity and connect it to something genuine.
3. Do your research — then be human. Use AI to narrow 2,000 potential employers down to the 10 that are the right fit. Then reach out — not with “I’m looking for a job,” but with genuine curiosity: “I saw the study your team published. I worked on something similar. Would you ever grab a coffee?” That’s the long play. And right now, the long play is the right play.
4. Fight the ATS smartly, but don’t rely on it. Yes, use the AI tools to optimize your resume for applicant tracking systems — you have to compete within the system. But remember: even today, roughly 60% of jobs are still secured through a network connection. The ATS is one gate, not the only gate.
5. Make your AI fluency a selling point — but let your expertise lead. Employers increasingly want to know how candidates are using AI to work smarter, move faster, and deliver better results. Be prepared to speak specifically about the tools you use, how you use them, and the concrete impact they’ve had on your work. That said, don’t let AI become a mask for your underlying expertise. The JPMorgan research bears this out: AI amplifies people who already have deep experience — those who know enough to recognize when the AI is wrong and how to course-correct it. Experts are still the ones who wield these tools most effectively. Own your knowledge first, and position AI as the accelerant on top of it.
What Employers and TA Leaders Should Do Right Now
On the hiring side, the advice is equally rooted in fundamentals — with a few forward-looking additions.
Invest in your employer brand. The companies cutting through the noise are the ones with sharp, specific messaging about who they are and exactly who they’re looking for. Vague job descriptions attract volume. Clear, specific ones attract fit. This is Recruiting 101, but in an era of AI-driven spray-and-pray applications, precision has never mattered more.
Get back in the room. High-volume hiring organizations can’t rely solely on in-person events — but for companies in specialized markets like life sciences, showing up physically builds the trust that digital filters cannot. The talent is out there; sometimes you have to go find it rather than wait for the perfect application to surface.
Reconsider what “screening” actually means. When AI is generating the resumes and AI is screening them, you can easily end up with a process that’s optimizing for the wrong signals entirely. The best candidates may be the ones getting filtered out. Build in touchpoints — human touchpoints — earlier in the funnel than you think you need to.
Hire for skills, not job titles. In a market where technologies and roles are evolving faster than job descriptions can keep up, the most important thing you can define is not the title you’re trying to fill but the specific skills and knowledge your organization actually needs. A candidate who held the “right” title two years ago may be less equipped than someone who has spent that time building the exact capabilities your team requires today. Skills-based hiring isn’t just a trend — it’s a strategic imperative. Organizations that build a clear, living understanding of the skills they need, and actively hire and develop against that map, will build more resilient, adaptable teams than those still filtering for credentials and titles alone.
The Future I’m Building Toward: Talent Logistics and Verified Trust
Here’s where I want to share something we’ve been thinking about deeply at Workforce Genetics — and where I believe the industry is ultimately headed.
I’ve grown frustrated with the metaphor of the “talent pipeline.” It implies you shove a group of people into one end and qualified workers emerge from the other. That’s not how a dynamic, complex workforce actually operates.
We think about it differently. We call it talent logistics — a supply chain and logistics challenge, not a pipeline problem. The workforce is fluid. Skills evolve. Career paths are nonlinear. The frameworks we use to think about talent need to reflect that reality.
Looking out five to ten years, I believe the infrastructure for verifiable, trusted credentials will finally catch up to the need for it. We were part of the first blockchain cohort at the University of Maryland’s startup accelerator — and while that technology hasn’t yet reached the application layer where it becomes truly practical for hiring, it will. When it does, every professional will have something like a skills fingerprint — a verified, portable record of what they can actually do.
The endgame, in my mind, looks something like this: an employer says “I need five specialists with these specific competencies,” and within a highly efficient system, five verified, trusted candidates surface. Not because they gamed an ATS — but because their skills have been credibly established over time. Think Amazon Prime for talent matching, but built on a foundation of earned trust rather than keyword optimization.
That’s the world we’re building toward. And it’s why we approach BioBuzz not as a job board but as a talent marketplace — a community where professionals develop their careers longitudinally, connect authentically, and build the kind of verified reputation that no AI-polished resume can replicate.
The Bottom Line
AI is not going away. It will continue to reshape how we hire and how we find work. But the organizations and individuals who will thrive in this environment are those who recognize what AI cannot do: build authentic relationships, demonstrate genuine expertise, and establish the kind of trust that makes an employer say, this is the person.
That has always been the heart of great recruiting. It just matters more now than ever before.
Chris Frew is the CEO of Workforce Genetics and the founder and CEO of BioBuzz Networks, a community-powered talent marketplace for the life sciences industry. With 20 years of experience in recruitment and staffing, Chris is a leading voice on the intersection of AI, hiring, and the future of work. He can be found on LinkedIn and at upcoming BioBuzz events across the region.
Listen to the full podcast episode at WYPR.org.