Not every AI leader will thrive as AI spending gets scrutinized

Having AI on your resume won’t save your career.

Here’s what happened this week: After Anthropic CEO Dario Amodei called for AI companies to slow the pace of model development because of growing safety and misuse concerns, Sam Altman and Elon Musk expressed support for the idea. Within hours, AI-linked stocks were getting hammered across Asian markets. SoftBank fell as much as 13.2%, SK Hynix dropped more than 5%, and Samsung and other companies tied to the AI infrastructure boom also took a hit.

A simpleton’s assessment would be “AI is over,” but you’re a tech leader and you know better.

An expert would ask what happens when companies stop treating every AI project as P0.

What fast money hid

For the last few years, being able to say "I work in AI" has carried enormous weight. Companies have been building teams, buying infrastructure, hiring aggressively, and trying to figure out how to attach AI to almost every part of the business.

That environment created opportunities for a lot of people while also hiding a lot of weaknesses.

When money is flowing quickly into a technology, companies can afford to hire people who are adjacent to the work. Someone who understands the terminology, has worked on a few AI initiatives, or has managed an AI team can look extremely attractive.

The questions leadership is asking now

But, this isn’t 2021 anymore and the next phase is going to be different.

Spending is getting scrutinized, and leadership has started to ask uncomfortable questions:

• What did this team actually build?
• How much revenue did it influence?
• What costs did it remove?
• Can this system run reliably in production?
• What happens if the model changes tomorrow?

And perhaps most importantly: what exactly did you own?

This is where the strongest AI leaders are clearly visible as the cream of the crop.

The people who have spent the last few years actually building platforms, deploying models, improving infrastructure, owning data pipelines, solving production problems, and tying technical work to business outcomes will have a much stronger story.

The people whose experience is mostly meetings, strategy decks, vendor evaluations and AI buzzwords are finding the market lesser and lesser forgiving.

Strengthen your career before the market forces you to

The best time to strengthen your career is before the market forces you to, and the speed with which AI is developing, staying ahead of the curve requires flawless strategy and execution.

You need to build your career around being the person who can take a technology, solve an expensive problem with it, and own the outcome.

The problem is, staying ahead of the curve while also running a full-time job search is like juggling knives that are on fire with your mouth.

Fortunately, you don’t need to do all of that on your own. We’re here to help.