Get AI Literate (GAIL) is an AI literacy platform built specifically for college students in business, marketing, and communications. It provides a structured 7-pillar framework, a free adaptive assessment, and practical resources to help you develop the AI skills today’s employers actually expect — before you enter the workforce.

GAIL is built for undergraduate and graduate students majoring in business, marketing, communications, advertising, and related fields. It’s especially valuable if you’re within one to three years of entering the workforce and want to make sure your AI skills match what employers are looking for — not just tool familiarity, but judgment, verification, and professional-grade application.

Most universities are moving quickly to integrate AI into curricula, but the pace of change in AI technology and the workforce has outrun most academic programs. EDUCAUSE research found that fewer than one in three students say their institution has prepared them to use AI effectively in their careers. GAIL fills the gap between what your program covers and what employers expect on day one.

Get AI Literate (GAIL) is an AI literacy platform built specifically for college students in business, marketing, and communications. It provides a structured 7-pillar framework, a free adaptive assessment, and practical resources to help you develop the AI skills today’s employers actually expect — before you enter the workforce.

GAIL was founded by Fred Faulkner, a marketing and technology professional with 25+ years of experience. He has seen firsthand how AI is reshaping entry-level work — and watched talented students graduate unprepared for it. The 7-Pillar AI Literacy Framework at the core of GAIL was built from that experience, informed by research from McKinsey, EDUCAUSE, the World Economic Forum, Harvard Business School, and NACE.

The 7 pillars are: (1) AI Foundations & Limits — understanding how AI actually works and where it fails; (2) AI Interaction & Task Design — writing effective prompts and iterating on outputs; (3) Critical Thinking & Verification — evaluating AI outputs for accuracy and bias before using them; (4) Responsible & Ethical Use — knowing when and how to disclose AI involvement and avoid harm; (5) Business, Marketing & Communications Application — applying AI to the actual work of your field; (6) Data, Privacy & Confidentiality — protecting sensitive data in AI workflows; and (7) Future Readiness & Continuous Learning — building habits to stay current as AI evolves.

Tool familiarity is table stakes — it’s not the same as being AI-literate. The tools change constantly. What doesn’t change is the need for judgment: knowing when to trust AI output, how to verify it, what data you should and shouldn’t share with it, and how to take professional responsibility for the work it helps you produce. The 7 pillars capture the durable, workforce-ready skills employers are actually screening for.

Yes. The GAIL framework has been cross-referenced against UNESCO’s AI competency guidelines, AACSB learning outcomes for business education, Long & Magerko’s foundational AI literacy research, the NIST AI Risk Management Framework, and NACE’s career readiness competencies. It’s also informed by ongoing research from McKinsey Global Institute, Harvard Business School’s work on the jagged technological frontier, and EDUCAUSE’s higher education AI literacy data.

The AI Literacy Assessment is a free, adaptive quiz that evaluates your proficiency across all 7 pillars. It adapts to your responses — asking harder or easier questions based on how you’re doing — and gives you a personalized breakdown of where you stand in each pillar, plus specific resources to close your gaps.

The assessment takes approximately 10 to 15 minutes to complete. You don’t need to create an account to see your results.

No email is required to take the assessment and see your results. If you want to save your results, track progress over time, or receive personalized resources, you can optionally create a free account.

Your results show a proficiency level for each of the 7 pillars — from Foundational to Advanced. A strong score in one pillar doesn’t mean you’re AI-literate overall; the assessment is designed to surface where your gaps actually are, not just where you feel confident. Each pillar result links to targeted resources.

Yes. The assessment uses an adaptive question bank, so retakes will not see the exact same questions. We recommend retaking every few months as you develop new skills or work through GAIL’s resources.

The assessment adapts to your major. Students in business, marketing, communications, and advertising see scenarios and questions tailored to the real tasks and contexts of their fields. The core 7 pillars are evaluated across all majors, but the examples and applications are specific to your area.

Entry-level roles in business, marketing, and communications are being redefined by AI faster than most universities can update their curricula. McKinsey estimates 47% of entry-level tasks are now AI-automatable. The students who get hired — and thrive — aren’t competing with AI. They’re the ones who know how to direct it, verify its outputs, and take professional responsibility for what it produces. AI literacy is increasingly a baseline expectation, not a differentiator.

The reality is more nuanced than a yes or no. AI is automating specific tasks — first-draft writing, data summarization, research scaffolding, content variation — that used to fill much of an entry-level role. That doesn’t mean all entry-level jobs disappear, but it does mean the ones that remain require more judgment, more critical thinking, and more professional skill than the ones AI can now handle. Students who develop those skills are better positioned. Students who don’t are more vulnerable.

Based on industry research, employers want three things: First, the ability to use AI productively on real professional tasks — not just awareness that tools exist. Second, the judgment to verify AI outputs before using them — especially when accuracy and credibility are on the line. Third, the professional responsibility to handle AI-assisted work ethically — knowing what to disclose, what data to protect, and how to take accountability for what AI helps you produce.

No. AI literacy isn’t about using AI for everything — it’s about knowing when it helps, when it doesn’t, and how to maintain your own professional judgment regardless. GAIL’s framework explicitly includes skills like critical evaluation, bias detection, and knowing when not to rely on AI. Students who understand AI’s limits are as valuable as students who know how to use it — the two aren’t in conflict.

The AI Literacy Assessment and the core 7-pillar framework resources are free. Advanced features, personalized learning paths, and in-depth courses may require a subscription. We’ll always tell you clearly what requires payment before you hit a paywall.

Yes. GAIL is built to complement classroom instruction, not replace it. Professors and instructors can use the assessment to baseline student AI literacy at the start of a course, assign specific pillar resources as supplemental material, and use the framework to structure AI-related learning outcomes. If you’re interested in institutional access or embedding GAIL into your curriculum, contact us.

Yes. GAIL offers institutional licensing for universities, departments, and programs that want to provide structured AI literacy assessment and resources to their students at scale. Licensing includes usage data, aggregate assessment analytics, and FERPA-compliant data handling. Contact us to discuss options.

Yes. We collect only what’s necessary to deliver your assessment results and personalized resources. We do not sell your data. If you choose to create an account, your assessment results are visible only to you — unless you explicitly choose to share them. We maintain FERPA-compliant data handling practices for institutional users. See our Privacy Policy for full details.