Having AI on your resume won't save your career

I keep seeing senior technology leaders prepare for the job market by taking their existing resume, adding AI to the headline, mentioning GenAI a few more times, and assuming they've become more employable.

Disappointed but not surprised. Every company is talking about AI, so the natural reaction is, “If AI is where the jobs are going, I need it on my resume.”

But for a Senior Manager, Director, VP or CTO, there's a much more important question: What exactly are companies hiring you to do with AI?

Look at where the money is going

Look at where the money is going.

Microsoft's 2026 capex expectations are around $175B. Meta is guiding toward $125B to $145B. Alphabet is around $195B to $205B. Amazon is planning roughly $220B.

Companies are investing enormous amounts into compute, data centers, networking, chips and the infrastructure required to run AI.

That creates two very different career opportunities.

One group builds AI models and applications, while the other builds the infrastructure that allows AI to operate at scale.

And that second layer is where I think a lot of senior technology leaders are underestimating the opportunity.

Someone has to build the platform

Imagine your company says, “We're going to build an AI platform.”

Now someone has to figure out the GPUs, Kubernetes, networking, storage, data movement, security, observability, reliability and developer experience.

Then 500 engineers need to use that platform without every team rebuilding the same infrastructure from scratch.

So it better be a hell of a platform.

LinkedIn's latest labor-market research says U.S. AI job postings have roughly doubled since 2023. At the same time, the market is increasingly emphasizing cloud platforms and AI-related infrastructure skills in software engineering hiring.

OpenAI announced a $500B investment in AI infra over four years. Oracle's AI contracts have been growing rapidly while Anthropic is securing multi-gigawatt data-center capacity.

Someone has to build and operate all of that.

Why "I know AI" is a cheap statement

And this is exactly why I think “I know AI” is becoming a cheap statement on a senior technology resume.

There are millions of people who can say they use ChatGPT. Plenty can build an LLM application.

Far fewer senior leaders can say:

“I know how to build the systems that AI depends on.”

We saw this with one of our clients. He had deep platform experience, but his resume was not marketing it as such. His mind used to go “Oh, this is an AI leadership position, I’m an AI leader!” while applying to jobs with no bifurcation between app and infra roles. Once we put an LED signboard screaming “AI Platform and Infra Leader” on his profile, he ended up landing 45+ interviews including an offer with $300K+ in base comp.

So if you're asking, “How do I add more AI keywords to my resume?” Stop it. Get some help.

Book a call with our team, and we’ll make you the Miss Universe of the job market. Or Mister if you want ¯\_(ツ)_/¯