Applying for LinkedIn Ad Grants for Humanitarians AI
Professor Bear applies for LinkedIn ad grants, laying out why a fellows bridge program that turns volunteer AI work into real jobs fits what LinkedIn says it supports.
Applying for a grant program you don't fully understand yet is a familiar position for anyone running a nonprofit, and this walkthrough captures that honestly: Professor Bear works through a LinkedIn ad grants application in real time, uncertain about exactly how the ad credits work but confident about why the underlying mission fits what LinkedIn says it wants to support.
What the application actually asks for
The LinkedIn ad grants process, at least as encountered here, turns out to be a simple form rather than an elaborate proposal process. Applicants are asked for basic information, an email, a name, and importantly, a LinkedIn company page ID, and then LinkedIn reviews applications periodically and notifies applicants of a decision. Beyond that basic information, LinkedIn is described as being interested in essentially three things, with an emphasis on diversity and workforce development, which lines up closely with what Humanitarians AI already does.
The fellows program as a bridge
At the center of the application is the Humanitarians AI fellows program, described as a bridge program that supports people, many of them first-generation college students, in the gap between graduating and landing that first real job. The problem this addresses is a familiar one at many US universities: institutions take significant tuition, sometimes eighty to a hundred thousand dollars, and effectively step back once a student graduates, only reconnecting once that student has a stable job and disposable income to give back. In that gap, graduates, especially international students, are largely on their own.
Why volunteer work is the mechanism
The fellows program addresses that gap primarily through volunteer work, which matters for a specific practical reason: it allows participants, particularly international students, to legally continue working and developing their skills while they search for a permanent role. Unlike most volunteer opportunities elsewhere, which typically ask for something like a six-month commitment and then end, this program's stated goal is to keep supporting and upskilling participants for as long as it takes until they land a strong job, not to cap support at an arbitrary time limit.
Learning by doing
While participants volunteer, they build real AI projects rather than working through abstract exercises, and Professor Bear notes that people frequently report learning more through this hands-on volunteer work than they did across two years in a master's program. That claim is central to the program's pitch: it isn't classroom instruction about AI, it's building real things, which is framed as a more effective way to develop genuine AI fluency than conventional coursework.
Why this fits LinkedIn specifically
The reasoning for why this program should appeal to LinkedIn in particular comes down to alignment of mission: LinkedIn's whole purpose centers on people finding jobs, and Humanitarians AI's fellows program is built around exactly that same goal, helping recent graduates and career changers get into stable employment. The program also serves a second, related population: mid-career professionals who need to build AI fluency quickly. That need is described as urgent and no longer optional, since AI fluency tests are already becoming a standard part of job interviews, and candidates who lack that fluency often see their interview end quickly regardless of how polite the process looks on the surface.
A commitment to diversity
Diversity is described as a defining characteristic of the community the program serves, with roughly 98% of participants coming from backgrounds most people would consider underrepresented, including many first-generation college students whose parents never attended college. That combination, a bridge program built on volunteer work, a focus on rapid AI upskilling, and a strongly diverse participant base, is presented as a natural match for LinkedIn's own stated priorities around career development and diversity.
Key takeaways
- The LinkedIn ad grants application process is a simple form requiring basic contact information and a LinkedIn company page ID, reviewed periodically by LinkedIn.
- The Humanitarians AI fellows program is a bridge program supporting graduates, especially first-generation and international students, between graduation and their first stable job.
- Volunteer work is the core mechanism because it lets international students legally continue working and building skills while job searching, with no fixed time limit on support.
- Participants report learning more through hands-on project work in the program than in some formal graduate programs.
- Roughly 98% of the program's community comes from underrepresented backgrounds, aligning with LinkedIn's stated focus on diversity and career development.
Who this is for
This video is aimed at anyone curious about how a nonprofit approaches applying for platform ad grant programs, as well as prospective fellows or supporters interested in the Humanitarians AI fellows program itself, which serves both recent graduates seeking their first tech role and mid-career professionals building AI fluency.
Full transcript(auto-generated, with timestamps)
[0:01]Professor Bear here again. I also noticed this LinkedIn grants thing. So I took a look at it. Uh so they do offer some ad grants in terms of advertising. I don't know exactly what that is, but I suspect uh it's sort of getting advertising to your LinkedIn page. That is advertising to get people here. Uh but I don't know yet. They have a very simple form basically like once in a while whenever they get around to it they sort of review applications and then notify you. So basically all you need to do is give them your emo, your name, uh your most importantly your little LinkedIn ID
[0:43]Here. And they're really only interested in three things and a lot of it is about and we're really heavy on both of these and we give you one choice but basically what we do is we have a fellows program which is a bridge program and so where we get people a lot of people who you know their parents have never been to college etc etc uh a bridge program from the time they graduate until uh they get that first grade job. So what happens with a lot of US universities is they say you know thank you for the 80,000 or 100,000 in tuition uh we'll you know let you know again
[1:22]After you have a real job then ask you for money but you're sort of on your own the minute you graduate. So our program is a branch program so we we support people primarily from them doing volunteer work. That's important particularly if you're international students uh because it allows them to continue to work and develop their skills until they get that job. And so our program is a little unique in that if you're volunteering for pretty much anywhere, they would require like a six-month commitment. Our goal is to continue to upskill you and continue to train you until you get that great job. So we
[1:57]Really are our mission is to get as many people sort of off volunteering as possible and into real jobs. But when they volunteer, they build real AI things. And often people tell me that they've learned more in what they do here than they did in their two years in a mast's program. This is all learning by doing. So our program, our humanitarian thing should be a perfect for them. So I'm going to go ahead and just hit submit. Uh and we'll see. Um but we should be a perfect fit for them. My guess again at some unspecified time in the future they may or may not
[2:34]Respond and I think what they'll end up doing is sort of giving ad credits to go to this page which means we'd have to work on this page more if we get some you know Google not Google LinkedIn advertising for it but it's it's a very quick process they're very specific on what they support we haven't be a perfect fit for them but they're really about sort of diversity and workforce stuff which sort of makes sense for LinkedIn Right? LinkedIn is about getting a job. So they want to support uh nonprofits or help people get and that's exactly what we do. So we do basically two things. We
[3:08]Help people get jobs and we help make career people upskill quickly in AI fluency. That is because right now what'll happen it's already happened is there'll be AI fluency tests to get a job. If you're not fluent in AI, your interview is over. They might be polite but your interview is over. And so this is what we do. Uh we what whatever stage of career you're in, uh we help you to to use and learn to use AI as a collaborator in order to be more productive at what you do. So we should be a perfect fit for LinkedIn because we're all about uh upskilling people.
[3:50]We're all about uh getting a large group of students who come from families who their parents did not go to college uh that you know that great job and very diverse. Uh we you know we're probably 98% what most people would consider minority. Uh so um yeah. So, we'll see. Um, my guess is we may or may not get an email at some unspecified time in the future. In which case, if they do support us, that'd be great. Thank you.
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