Jeremy Schifeling, author and career coach, has devoted his career to helping others succeed in theirs, from teaching kindergarten in Brooklyn, NY to training career professionals at more than 350 organizations and universities worldwide. In this conversation, Jeremy traces the arc from AI's early promise as a career coaching tool to the arms race it has created in hiring, where students are applying to hundreds of jobs with AI-generated materials and recruiters are struggling to identify real talent. He shares data about the enduring power of human connection and referrals over algorithmic job searching, making the case that career centers are uniquely positioned to lead on AI fluency rather than wait for someone else to go first. He also challenges educators and workforce practitioners to stop using complexity as a permission slip for inaction. Transcript Julian Alssid: Welcome to the Work Forces Podcast. I'm Julian Alssid. Kaitlin LeMoine: And I'm Kaitlin LeMoine, and we speak with innovators who are shaping the future of work and learning. Julian Alssid: Together, we unpack the complex elements of workforce and career preparation, and offer practical solutions that can be scaled and sustained. Kaitlin LeMoine: This podcast is an outgrowth of our Work Forces consulting practice through weekly discussions, we seek to share the trends and themes we see in our work and amplify impactful efforts happening in higher education, industry, and workforce development all across the country. We are grateful to Lumina Foundation for its past support during the initial development and launch of this podcast, and invite future sponsors of this effort, please check out our Work Forces podcast website to learn more. And so, with that, let's dive in. The New York Times recently published a thought-provoking story about a new MIT report that is warning that AI is causing what they call cognitive surrender on college campuses, with students reaching for chatbots when struggling with a new concept, and university leaders offering a range of guidance about how to respond. Some are embracing AI enthusiastically, others are banning it, and many are somewhere in between, trying to figure out the right answer in real time. Julian Alssid: And that tension lands right at the heart of what we think about in workforce development, if students are outsourcing their thinking to AI before they ever even enter the labor market, you know what does that mean for the skills they bring with them, and who is responsible for helping them develop the judgment to know when to use AI and when not to? Those aren't just questions for universities; they're questions for employers, career coaches, and really anyone who works at this intersection of learning and careers. Kaitlin LeMoine: Which brings us to our guest today, Jeremy Schifeling, has devoted his career to helping others succeed in theirs. From teaching kindergarten in Brooklyn to leading education marketing at LinkedIn. He's gone on to publish best-selling LinkedIn and AI job-seeking books on Amazon and train career professionals at more than 350 organizations and universities worldwide. Jeremy's newest book, Unbreakable, makes the case that the workers who will thrive in the age of AI are not the ones chasing every new tool, but the ones developing the scarce human skills that technology cannot replace. Jeremy, welcome to Work Forces. We're so glad to have you with us today. Jeremy Schifeling: Thanks for having me on. Thrilled to be here. Julian Alssid: Great, Jeremy. Yes, so glad to have you here. And if you will, in your own words, tell us a bit about your background. Jeremy Schifeling: Yeah, absolutely. So as mentioned, you know, I got my start teaching kindergarten in Bed Stuy, and one of the things that I realized early on was technology was going to be part of these kids' lives forever. And here I was in the early 2000s teaching them how to make PowerPoint, how to make mp3s. It seems quaint by today's standards, but then over the course of my journey working at LinkedIn, working as a career coach at the University of Michigan, working with all these schools today, I realize that technological drumbeat has only gotten faster and faster with each passing year. And so, one of the things I've always been very passionate about is how do we prepare that next generation, not just to survive these technological changes, but actually to thrive. And so, that's what we're all trying to figure out right now in this age of AI. Kaitlin LeMoine: Absolutely. So, I mean, you've you've written a few books, right? That in some ways trace that arc of how careers and job searching have changed. And of course, this is going from learners in kindergarten to you know people going into the workforce. But those books have covered mastering LinkedIn, using AI as a career coach to your newest book, would love to have you walk us through your evolution and your thinking, and and what what do you feel are some of the common threads that cut across and and new learnings that emerged for you as you wrote each of those books. Jeremy Schifeling: So I'll just sort of pick up with AI because I think that's what's on everyone's minds these day these days. So I had really sort of this interesting opportunity, which is I was leading the marketing team at Khan Academy back in 2022, and my boss Sal Khan came to me that summer and said, Jeremy, I just got this amazing new tool from my buddy Sam Altman over at OpenAI. This was before anyone knew who Sam Altman really was, and I said, Ah, we always hear about these new things in Silicon Valley, you know, crypto and all this stuff. And then I used ChatGPT when it was still in beta before it had been released to the public for the first time, and I was like, Wow, this is going to be big. I could even tell back then, but I was so naive because, as someone who had been a career coach, I thought it was going to be a panacea. I had worked with all these international students, all these introverts who had trouble telling their story, and that was holding them back when it came to the job search. I said, now everyone's going to have a career coach in their pocket. Everything's going to be solved. Fast forward two years, and I'm working with all these students around the country and around the world. None of them are using it the way that I envisioned, you know, to figure out their perfect path in life and to do all this deep reflection, instead they're using it like the Staples Easy button: build me a resume, write me a cover letter, and now I'm talking to all the recruiters of the world who are throwing up their hands, saying, Jeremy, this is a disaster. I can't tell who's good. Everything just seems fake. And so, really, this AI journey in just a couple of years went from what I thought was going to be utopia to a little bit of a nightmare, and now we're trying to find our way out of it. Julian Alssid: Well, so yeah, so kind of diving a little bit, a little bit deeper there. So you've described AI as creating an arms race in in hiring and career preparation, you know, for everyone involved with you know students racing ahead as we've discussed, and employers trying to get a handle on this, and you know, and some employers kind of you know a little frozen as to what to do around hiring, and so can you unpack that dynamic and what what does it mean for all the people and institutions who are trying to navigate their way? Jeremy Schifeling: So imagine you know fall 2022, ChatGPT comes out. All of a sudden, students who once might have applied to 10 or 20 jobs realize that the incremental cost of applying to a marginal job has essentially gone to zero. Right? Say ChatGPT, build me resumes for every one of these 100 job applications. Done. And so now all of a sudden, if you're a recruiter, you were facing about 100 applications per job in the fall of 2022. Here in the fall of 2026, you're facing about 250 applications per job, more than a doubling in just a few short years. At the same time, because there were these huge layoffs going through the industry, guess who was being laid off every time you saw a headline at Amazon or Meta or any of these places? It was the recruiters because if these firms were consolidating, they just needed fewer recruiters to do the job. So all of a sudden, you have more applications from students, fewer recruiters to process them. It's a disaster for the recruiting profession. So what do they do? They erect higher barriers. They either have entry-level jobs that require five years of experience, or they have even more high-powered applicant tracking systems that basically say, Hey, we've got to screen out 95% of these candidates because we don't have time to deal with them. Now, come back to the student. This is sort of the cycle part. They say, Hey, it just got way harder to get a job, there are fewer entry-level jobs all of a sudden, and my acceptance rate is way lower. I better apply to even more jobs using even more AI, and the cycle spins and spins in classic arms race fashion. Kaitlin LeMoine: And so, what I mean, as you're having these conversations with with job seekers, with students, with career coaches, I mean, what are some of the what's some of the guidance you're offering, right? Because this is, as you're saying, this is a really complex time and and sort of unprecedented in many ways. Would love to hear the guidance you're offering to these different, you know, key players in the space. Jeremy Schifeling: Yeah. So to build on a sort of arms race metaphor, how do you stop an arms race? You have to have a peace treaty, right? You have to step outside of that vicious cycle dynamic and find a better way. And so, what I'm recommending on both sides of the house is getting back to the more humanistic things. What I tell coaches and students is: Look, you might think that your chance of getting any job is something like 0.1 p