TOPHEADS
A TOPHEADS executive assessment

How AI-Ready Are You at Work?

Most people overestimate this. Using AI every day counts for little if you can't tell a good answer from a confident wrong one — or explain why it gets things wrong in the first place. This assessment weighs five things: how deeply you understand how AI actually works, how well you judge its output, how much you use it, how skilfully you steer it, and how strategically you apply it — and places you on five levels, from Rookie to Guru. Reaching the top takes real understanding of the machine, not just heavy use. Twenty-eight real situations, about ten minutes. It does not flatter.

A quiet market for senior leaders

What TOPHEADS is

A members-only platform where senior executives keep a current, anonymous professional presence, visible to a curated set of executive search firms and hiring companies. Not a job board.

Why AI-readiness is now part of your market value

How well a senior leader directs AI — and judges its output — is fast becoming something hiring companies screen for. The leaders who can show they augment their work with AI, rather than fear it or trust it blindly, are increasingly the ones who get the call.

Who it is for

Senior leaders, typically VP through C-level, who want to be discoverable to the right firms quietly, and matched on the strengths that actually matter now.

TOPHEADS is not a free directory. A modest entry fee and monthly subscription keep the network limited to executives who treat their career as an asset. Details are on the candidate page.

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Are You Actually Good at Working With AI — or Just Using It a Lot?

There is a quiet gap opening up at work. On one side are people who use AI constantly but take whatever it gives them. On the other are people who may use it less, but who know exactly when to trust it, how to steer it, and where it must never go. The second group is becoming far more valuable than the first — and the difference rarely shows up on a CV.

Researchers call the underlying skill AI literacy. The most cited framework (Long and Magerko, 2020) describes it as a set of competencies: understanding what AI can and cannot do, using it effectively, critically evaluating its output, and applying it responsibly. Later work, including the MAILS scale, organises these into knowing, using, detecting, evaluating, and the ethics of AI. This assessment turns that into five practical dimensions for the workplace — with technical understanding as the one that separates the top from the rest.

The five dimensions

Technical depth — whether you understand how AI actually works: why it hallucinates even with sources, what a context window really does, why a confident answer isn't a correct one. This is the dimension that gates the top level. Judgment — whether you can spot a confident wrong answer and verify what matters. Usage — how deeply AI is part of your real work. Craft — how skilfully you steer it: context, iteration, choosing the right tool. Strategy and ethics — knowing where AI belongs, protecting sensitive data, and treating AI as something that expands what you can do rather than a threat or a crutch.

Why judgment matters more than usage

The most important finding baked into this assessment is simple: heavy use without judgment is a liability, not a strength. A person who pastes a polished but unverified AI answer into a client deck is more dangerous than one who uses AI sparingly but checks everything. That is why this test caps your level if your judgment is weak — no matter how much you use AI. The result is honest rather than flattering, and far more useful for it.

Frequently Asked Questions

What does AI-ready actually mean?

More than using AI tools often. Research on AI literacy frames it as understanding and using AI, critically evaluating its output, knowing its limits, and using it responsibly. This assessment measures five dimensions, and the top level requires genuinely understanding how AI works — not just using it a lot.

Why isn't using AI a lot enough to score high?

Because heavy use without judgment or understanding is a risk, not a strength. Two things cap your level no matter how much you use AI: weak verification (which lands heavy users as Dabblers) and weak technical understanding (which caps even careful users below the top). The Guru level specifically requires understanding how AI works under the hood.

What are the five levels?

Rookie, Dabbler, Practitioner, Power User, and Guru. They are cumulative — each builds on the one below, and the top two require real judgment, not just heavy use.

Is this a certification?

No. It draws on published AI literacy research but is a short self-assessment and reflection prompt, not a certification or exam. It gives you an honest read and a clear next step.

Does AI-readiness matter for senior roles?

Increasingly, yes. Most employers expect AI to reshape work within a few years, and value is shifting toward people who can direct AI well and judge its output. For senior people, the strategic and team dimensions matter as much as personal skill.