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- OpenAI just spent hundreds of millions buying a podcast.
OpenAI just spent hundreds of millions buying a podcast.
Recruiting teams are sitting on audiences they already paid for and treating them like dead leads.

Hi everyone,
Earlier this month, OpenAI bought a podcast.
TBPN is a daily tech livestream with around 74,000 YouTube subscribers and a cult following of founders and investors, and the Financial Times reported the deal at "low hundreds of millions." HubSpot spent the last few years doing the same thing with newsletters, picking up The Hustle and then My First Million and then Starter Story.
The thesis across both deals is basically the same: software is getting cheaper to build, attention isn't, and if you want to own a pocket of attention at scale the fastest path is to buy the audience someone else already built.
That logic is true for every industry, except for recruiting.
What the data actually says
According to Gem's 2026 Recruiting Benchmarks report, 46% of sourced hires now come from candidates already in a company's CRM or ATS, up from 26% in 2021. In the same window, recruiters are managing 93% more applications than they were in 2021 with teams that are 14% smaller.
Companies spend enormous budgets acquiring applicants, and then ignore the pool where that capital is already deployed.
The most productive source of hires is already in your database. The most expensive source of noise is still coming through the front door. And the teams doing the work keep shrinking.
That's the cost structure finally breaking, and it's why "reactivate your CRM" continues to be a theme on LinkedIn and in community forums.
We’ve heard this story before… but missed the real reason it failed
I got good pushback from an advisor this week: TA has been talking about CRM reactivation and talent communities for at least fifteen years. People have built products around it, spent billions on databases, written keynotes about it, and somehow it never sticks. Why would now be any different?
It didn’t fail because the idea was wrong. It failed because the content was too expensive to produce.
A real voice, a real cadence, content that feels like a nurse or an engineer or a physician wrote it for people like them, segmented enough to be relevant. That used to require a content team, which most TA functions don't have and will never get approved to hire.
AI changes that math. The thing that was historically the most expensive part of the system is now the cheapest.
What recruiting missed
Over the past two years, I have attended 10+ media and content conferences. The number 1 topic at all of them? How to acquire subscribers and users. They mastered the storytelling, but now need to grow their audience.
In recruiting, that audience — who you have paid for, who opted in, who took the time to submit their resumes and write cover letters — exists. These are not people you have to convince to trust you: they already have.
The playbook already exists too. Media companies have been running it for twenty years.
A voice, a cadence, content that a nurse or an engineer or a physician wants to open on a Tuesday morning whether or not they're looking, and jobs embedded inside a stream of editorial they already signed up for. That's the infrastructure piece most TA teams don't have and haven't been asked to build, and it looks like media because it is media.
Every health system can build a Nurse Ascent. Every staffing firm can own its niche audience. Most just haven’t figured that out yet.
If you’re sitting on an underused database
You don’t have $100M to buy TBPN. But you don’t need to, because you already have the audience.
We're piloting AI-generated talent communities for employers and staffing agencies with large existing databases, built on top of the ATS or CRM the team already uses so there's nothing new to adopt. Real editorial cadence, real segmentation, and jobs embedded inside content people actually want to read. Our first partner goes live in May.
We’re only onboarding a small number of partners for this first cohort.
If you’re sitting on a database you know is underused and want to see what a modern reactivation program actually looks like on your data, hit reply. More next week.
Best,
Summer Delaney
CollabWORK Founder and CEO
Further Reading
CXR Recruiting Awards: AI Edition 2026 — If you or someone on your team is using AI to save recruiter time, reduce bias, or improve candidate experience, apply to CareerXroads practitioner-first recruiting awards. Deadline is this Friday, April 24.
Zapier's TA team just replaced an $18,000 SaaS tool — Zapier's Chief People Officer shared how his TA team rebuilt their reference-checking workflow internally, using Zapier itself instead of renewing a third-party vendor. The interesting part isn't the cost savings: it's the shift in how TA teams now think about build versus buy. When your own team can stand up something workable in a week, the vendor math changes.
Every company now sounds like ChatGPT and that's the biggest brand opportunity in a decade — The strongest piece I've read on what the author calls the Great Flattening, which is the observation that as more corporate communications get routed through the same few language models, every company starts sounding like the average of every other company. If your careers page, your LinkedIn copy, and your EVP are all getting smoothed by the same tools (aka Employer Blanding), the companies that still sound like themselves are the ones candidates and LLMs will actually remember
Meet Big Slop, the AI threat that actually arrived — Jack Brewster, who covered AI misinformation at NewsGuard and the WSJ, makes the case that the real threat from generative AI wasn't political disinformation but the venture-backed industrialization of fake influencers, fake engagement, and synthetic commercial content. Timely if you're thinking about candidate fraud or fake applicant volume flooding the channels your brand depends on.
About CollabWORK
CollabWORK is hiring visibility infrastructure. We help employers get found, distributed, and re-engaged across the channels that now define how candidates actually discover jobs: AI search, professional communities, and their own talent networks.
Three products, one thesis.
Employer AI Discoverability monitors how you show up across ChatGPT, Gemini, Perplexity and other LLMs, and optimizes your job descriptions and XML feeds so you can actually be surfaced by the models candidates are searching.
Community Distribution places roles inside 500+ vetted newsletters and communities including Morning Brew and 6AM City, reaching over 14 million professionals.
Talent Community Activation turns the dormant ATS and CRM data you've already paid for into a living pipeline.
The companies winning at hiring right now aren't the ones with the biggest job boards budget. They're the ones showing up where great candidates actually are.
Find time to learn more. You can also find us on LinkedIn and X.