Indeed Hiring Lab published new research this week that should worry anyone who didn’t finish a four-year degree. In the US, 86% of workers with a bachelor’s or higher reported getting some AI training from their employer in the past year. Among workers with high school only, the number dropped to 67%. That’s a nineteen-point gap.
The UK gap is worse at twenty-two points. Canada sits at eighteen. The pattern is consistent. The employers investing in AI skills are concentrating that investment on the people who already have the most credentials, and the gap is widening. If you’re on the wrong side of that line, the companies doing it right are probably hiring, and the fastest way in is knowing how to contact hiring manager on LinkedIn directly.
Most career advice about AI skills tells you to “upskill” or “reskill” as if those are things that happen on their own. They don’t. They happen because someone at a company, usually a manager who believes in training their team, pushes for it. The question for anyone stuck without AI training isn’t how to self-teach in your spare time. It’s how to find and reach those managers at companies that actually invest in their people.
The AI training gap, and what it tells you about who’s hiring
The Hiring Lab data breaks the gap down further. Workers at companies with more than 500 employees are roughly twice as likely to report formal AI training as workers at companies under 50. Workers in finance, tech, and professional services lead. Workers in hospitality, retail, and construction trail. Within those industries, certain companies pull far ahead of the average.
The signal here is strong. Employers that train their people on AI are also the employers hiring faster. TechCrunch reported this month that job listings for “human-in-the-loop” operators, basically humans who supervise AI systems in production, are up 340% year over year, led by YC and a16z-backed startups. These aren’t entry-level roles. They’re mid-level positions that require judgment about when AI output is correct and when it isn’t. Companies posting these roles are the same ones investing in AI fluency across the rest of their workforce.
If you’re an AI-curious worker stuck at a company that hasn’t started training anyone yet, the opportunity isn’t to complain about your current employer. It’s to identify who’s doing it right and get in front of them.
How to identify which employers are actually investing
Public signals give away a surprising amount.
Their job postings mention AI in concrete ways. “Familiarity with GPT-based tools” and “experience with agentic workflows” are stronger signals than “must be comfortable with technology.” The posting language reveals whether the hiring manager has hands-on context or is cargo-culting.
Their engineering or research blog has content from the last six months. Look for posts from individual employees, not just marketing. A company whose senior engineers are publishing about how they use AI internally is a company training its people to use AI internally.
Their press mentions position AI as part of the product or operation, not just a PR angle. A company described in the Hiring Lab piece or a TechCrunch article as “deploying AI for knowledge work” is likely further along than one that has a tab on their website called “AI.”
Their people are posting on LinkedIn about their own AI experiments. If the VP of Ops is writing about how they automated a process last week, you’ve found a culture that learns in public.
Cross-reference those signals against your target companies. Ten minutes per company is usually enough to separate “this is where AI training is happening” from “this is where people are still waiting for permission.”
How to contact hiring manager on LinkedIn once you’ve found the right companies
Knowing how to contact hiring manager on LinkedIn well is the difference between looking like a hundred other cold messages and looking like someone who did their homework. The mechanics aren’t complicated. The execution is where most people lose.
Start by finding the right person. For most mid-level roles, the hiring manager is two steps above the role and one team over from HR. If the posting is for “Operations Analyst,” the hiring manager is usually the Director of Operations or the VP of Operations, not the recruiter. LinkedIn’s company page has an employee search that lets you filter by job title and location. Five minutes is enough to find the hiring manager on LinkedIn for most roles.
Confirm they’re the right person by checking a second source. Their team’s public work, a press mention, an interview where they talk about their department. You want to be confident before you send.
Write the message like you’d write to a former colleague, not a VIP. Keep it under 150 words. The structure that works looks like this.
Sentence one: who you are and what you do, in concrete terms. “I’m a data analyst with five years of experience building forecasting models at a mid-sized retailer.” Not “I’m a passionate problem-solver.”
Sentence two: the specific thing you noticed about their team. “I read your team’s writeup on the inventory forecasting project you shipped last quarter.” Not “I admire your work.”
Sentence three: what you’re looking for and why it’s relevant to them. “I’m looking for a role where I can get deeper into the kind of work your team is doing with agentic forecasting.” Not “I’m seeking new opportunities.”
Sentence four: the ask. “Open to a 15-minute call next week, or could you point me to the right person?” Not “Please let me know if there are any opportunities.”
Send a connection request with the note attached, or use InMail if you have LinkedIn Premium. Wait seven to ten days. Follow up once, referencing your first message. Stop after the follow-up. Two messages is enough signal. Three starts to feel aggressive.
That’s how to contact hiring manager on LinkedIn in a way that actually lands. Response rates on that sequence, done well, run 15 to 30 percent in most industries. The number goes up when you’re messaging managers at companies that are actively hiring for roles close to what you do.
The AI skills question, handled
The counterargument to all of this is the one that lives in most people’s heads already. “I don’t have AI skills, so why would a company investing in AI want to talk to me?”
The answer the Hiring Lab data suggests is that the companies investing in AI training are hiring for adjacent skills, not for AI skills specifically. They’re hiring for judgment, domain expertise, and the ability to learn quickly. They’re not hiring AI engineers for most of these roles. They’re hiring people they can train to work with AI tools. That’s the whole reason the training gap exists. These companies have decided to build fluency in-house rather than buy it in the open market, which is expensive and slow.
The practical implication: don’t sell AI skills you don’t have. Sell the adjacent skill and demonstrate curiosity about how they’re using AI. “I’ve used ChatGPT and Claude for light research but haven’t built anything production-grade yet. I’d like to change that.” That sentence, in a LinkedIn message, does more for you than six months of self-paced courses that don’t lead to a conversation.
This is also the core of a good career switch AI skills story. Companies aren’t looking for someone who has already done everything. They’re looking for someone they can trust to figure things out. The trick is showing you’ve already started, even informally.
Where FoxHire.AI fits
If the process described above sounds like a lot of manual work, it is. Ten minutes of research per company, times ten to twenty target companies, times the message writing itself, adds up to a full weekend every week. That’s why tools like FoxHire.AI exist. Paste a job posting and the tool identifies the likely hiring manager, pulls the relevant context about them and the company, and drafts a personalized outreach message you can edit and send. The hour of research compresses into a minute. You keep the judgment, the ownership, and the voice. You lose the grunt work.
The takeaway
The AI training gap is real, it’s measurable, and it’s widening. The good news is that the companies on the right side of the gap are the ones hiring most actively, and the path into them doesn’t run through a job portal. It runs through a well-written message to the hiring manager, sent on LinkedIn, about one specific thing you noticed about their team.
If your current employer isn’t training you, and you’re stuck watching the nineteen-point gap grow, the work is to find the companies doing it right and reach them directly. The research is the hard part. The message itself is short.
