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The 7-pillar framework

Workforce AI literacy, in seven measurable competencies.

Built for business, marketing, and communications students entering an AI-changed workforce. Each pillar is independently assessable. Each one maps to a real workplace skill in jobs AI is already reshaping.

AI literacy isn’t about knowing which tools exist. It’s about understanding how AI works, how to use it responsibly, how to evaluate its outputs, and how to apply it effectively in real academic and professional settings.

The Get AI Literate framework benchmarks readiness across seven core competencies. Together, these pillars define what it means to be AI literate in today’s workplace, and what it takes to do entry-level work well as AI reshapes it.

A working definition

What AI literacy is, and what it isn’t.

Three columns. Read all three before deciding whether your school’s “AI training” actually counts as literacy.

What it is
+

Judgment about how, when, and why to use AI at work.

AI literacy is the ability to understand how AI systems work, use them effectively for professional tasks, evaluate their outputs critically, and apply them responsibly, with awareness of the ethical, privacy, and organizational implications involved.

What it isn’t
−

A list of tools to memorize.

It’s not “know ChatGPT” or “use Claude.” Tools change every quarter. The skill that lasts is the judgment to use any tool well in the context of real work.

Why it matters
→

Entry-level work is being redesigned around AI, not deleted.

That redesign is happening right now, while you’re still in school. The graduates who can show what they actually know about AI walk into that conversation with something to say.

57%
of U.S. college students use AI in coursework at least weekly, but only 42% say their school encourages it (Gallup and Lumina Foundation, 2026 State of Higher Education Study).
The 7 pillars

Each one a distinct, independently assessable competency domain.

They build on each other, but each one can be developed independently. Click any pillar to see what it covers, why we picked it, and a sample question.

Pillar 01, AI Foundations & Limits
Pillar 01

AI Foundations & Limits

Understand how AI systems generate outputs, why hallucinations happen, and where the technology’s limits begin.

Sample Qs·Reading list·Scoring rubric
Explore Pillar 01 →
Pillar 02, AI Interaction, Collaboration & Task Design
Pillar 02

AI Interaction, Collaboration & Task Design

Write prompts with the right context, constraints, and intent. Collaborate with AI without outsourcing your judgment.

Sample Qs·Reading list·Scoring rubric
Explore Pillar 02 →
Pillar 03, Critical Thinking & Verification
Pillar 03

Critical Thinking & Verification

Evaluate AI outputs for accuracy, logic, and bias. Fluency is not accuracy.

Sample Qs·Reading list·Scoring rubric
Explore Pillar 03 →
Pillar 04, Responsible & Ethical Use
Pillar 04

Responsible & Ethical Use

Know when to disclose AI involvement and what it means to put your name on AI-assisted work.

Sample Qs·Reading list·Scoring rubric
Explore Pillar 04 →
Pillar 05, Business, Marketing & Communications Application
Pillar 05

Business, Marketing & Communications Application

Apply AI to the actual work of your field, briefs, analysis, strategy, producing outputs employers can use.

Sample Qs·Reading list·Scoring rubric
Explore Pillar 05 →
Pillar 06, Data, Privacy & Confidentiality
Pillar 06

Data, Privacy & Confidentiality

Classify sensitive data, protect client confidentiality, and build AI workflows that don’t create liability.

Sample Qs·Reading list·Scoring rubric
Explore Pillar 06 →
Pillar 07, Future Readiness & Continuous Learning
Pillar 07

Future Readiness & Continuous Learning

Evaluate new capabilities without chasing them, adapt as models update, and build habits that compound.

Sample Qs·Reading list·Scoring rubric
Explore Pillar 07 →
Proficiency levels

Four bands per pillar. Proficient is the bar we set.

Each pillar is scored independently on the same 4-band ladder, so you can see exactly where you’re strong and where to start.

Level 01

Novice

Limited working knowledge. Uses AI to generate output but treats responses as answers. Does not yet recognize ambiguity, hidden assumptions, or downstream risk.

Score · 0–49%
Level 02

Developing

Foundational fluency. Structures prompts and verifies some outputs, but reliability breaks down in unfamiliar or high-stakes work. Still misses fabricated citations and shallow reasoning under pressure.

Score · 50–74%
Level 03

Proficient

Workplace-ready. Decomposes real tasks reliably, verifies systematically, and calibrates trust appropriately. This is the bar GAIL sets for entry-level work.

Score · 75–89%
Level 04

Advanced

Expert practice. Sets the standard for peers, anticipates failure modes, and adopts new tools and capabilities quickly. Coaches verification practice across a team.

Score · 90–100%
How the assessment uses these pillars

Each pillar is evaluated independently, so you get a specific picture, not just a single score.

Where you’re strong

See which pillars you’re already performing at a Proficient or Advanced level, so you know what to keep doing and where you have transferable confidence.

Where you may be at risk

Identify the gaps that could create real problems in a professional setting, before they surface in front of a manager or client rather than in practice.

Which skills to build next

Get a pillar-by-pillar development priority, so you’re not spending time on what you already know, and you’re not guessing about what matters most.

Fred Faulkner, Founder
About this framework

Built specifically for students entering an AI-changed workforce.

The GAIL 7-Pillar AI Literacy Framework was built by Fred Faulkner, a marketing and advertising practitioner of 25+ years who now works with AI every day and teaches it to students.

It addresses a gap existing AI training programs don’t: those programs are written for working professionals who already understand the workflow they’re adding AI to. Students entering their first roles don’t have that context yet, and they’re using AI anyway.

How we built it
  • Mapped to the UNESCO AI Competency Framework for higher education
  • Mapped to AACSB guidance on technology in business education
  • Mapped to the NIST AI Risk Management Framework
  • Mapped to the AI literacy competencies in Long and Magerko’s peer-reviewed research
  • Built for students entering the workforce, not for the professional training market

GAIL isn’t accredited by an academic accrediting body, and the 7-Pillar Framework isn’t endorsed by UNESCO, AACSB, or NIST. We built the framework and mapped it to published work afterward.

Start with the assessment

Find out where you stand across all 7 pillars.

The free AI Literacy Assessment scores you independently on each pillar and shows you exactly where to focus next.

✓ 10 minutes · No email required to see results