AI Literacy and the FutureWork™ Framework
Artificial intelligence is rapidly transforming industries, workplaces, and daily life. AI literacy is the ability to understand, evaluate, use, and responsibly interact with AI technologies. It includes understanding how AI tools function, interpreting AI-generated outputs, recognizing ethical concerns, and adapting to AI-enhanced workflows.
The FutureWork™ Framework organizes workforce readiness into six interconnected domains. Together, these domains help learners build both the technical capabilities and adaptive skills needed to thrive in the age of AI.
AI Literacy
Understand how artificial intelligence works, evaluate AI outputs, use AI responsibly, and collaborate effectively with intelligent technologies.
Data Literacy
Develop the ability to collect, organize, analyze, interpret, and communicate data for informed decision-making.
Digital Literacy
Build the digital skills required to evaluate information, create content, communicate effectively, and navigate online environments.
Agile Thinking
Strengthen adaptability, problem-solving, innovation, and learning agility in rapidly changing environments.
Change Navigation
Develop resilience, emotional intelligence, and the ability to lead and adapt through continuous change.
Resource Optimization
Improve productivity, decision-making, prioritization, and the effective use of time, technology, and organizational resources.
For More Information and Resources
Explore these reports, articles, and discussions on artificial intelligence, work, productivity, and the skills needed for the future.
Artificial Intelligence Index Report 2025
This report documents the rapid expansion of artificial intelligence technologies and highlights why workers and leaders need stronger understanding of AI systems, uses, and implications.
Artificial Intelligence and the Future of Work
This report explains how artificial intelligence reshapes tasks, occupations, and organizational design, reinforcing the need for workers to understand how AI changes work.
Why AI Adoption Stalls, According to Industry Data
This article highlights that successful AI adoption depends on workers understanding when and how AI should be applied in real settings.
Bridging Skill Gaps for the Future: New Jobs Creation in the AI Age
This IMF discussion note highlights how AI capability shapes emerging labor market opportunities and why individuals need practical AI understanding.
AI Is Not Improving Productivity
This MIT Sloan discussion emphasizes that understanding AI limits and capabilities matters more than simply having access to AI tools.