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Hiring Guides

How to Hire in the AI era

Employer guides to hiring in the age of AI: the AI skills to require, how to evaluate candidates, the red flags to avoid, and what each role should cost, grounded in the AI Career Index structural model.

AI skills to requireHow to evaluateRed flags and cost
Hiring Guides

Hire for the part of the role AI cannot do

AI now absorbs the routine production layer of most roles, which means the old hiring screens test what a model already does for free. These guides show you what actually matters now: the AI skills to require, how to test for judgment over output, the warning signs of a candidate on the wrong side of the shift, and what the durable, decision-owning version of the role should cost.

Each guide reads the role through the same structural model behind the rest of the AI Career Index, so you can see which parts of the work are compressing and which are appreciating before you write the job spec. Hire for the layer that holds its value, not the one a tool is about to replace.

AI skills to require

The capabilities that separate a hire who multiplies output with AI from one the tools will outpace.

How to evaluate

Interview signals and questions that test judgment and ownership, not the output AI now produces for free.

Red flags

The warning signs that a candidate is on the wrong side of the AI shift.

What it costs

The salary to budget for the durable, decision-owning layer of the role, by market.

262 roles across 30 industries

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Articles in this guide

Go deeper

5 long-form articles expanding on this guide. Click to read.

Testimonials

What Professionals Are Saying

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"Most career tools focus on what you want. This one focused on where the market is actually wage shifts work. That reframe alone was worth more than a year of coaching. My next move is the first one I have chosen with structural data behind it."

Freya Andersen
Freya Andersen
UX Research Lead · Copenhagen, Denmark

"I expected generic advice about learning AI tools. What I got was a specific read on which parts of my role were substitutable and which were not. The Acceleration Plan had me moving on architect-layer work by the end of the month. I started getting invited into design conversations I had never been part of before."

Arjun Chakraborty
Arjun Chakraborty
Senior Backend Engineer · Bengaluru, India

"The bimodal framing of legal work matched my own read of the profession exactly. What was new was the specificity of the migration path. I am now deliberately moving my practice toward the judgment-dense layer rather than the document-review layer. My billable hour value has already shifted upward."

Sophie Laurent
Sophie Laurent
In-House Counsel · Paris, France

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