What is AI Literacy?
- A report by PwC estimates that AI could contribute up to $15.7 trillion to the global economy by 2030.
- According to the World Economic Forum, 85 million jobs may be displaced by a shift in the division of labor between humans and machines by 2025, while 97 million new roles may emerge that are more adapted to the new division of labor between humans, machines, and algorithms.
- Up to 30 percent of hours worked in the US economy could be automated by 2030 due to generative AI, which is also expected to enhance the work of STEM, creative, and business professionals.
- Generative AI could increase US labor productivity by 0.5 to 0.9 percentage points annually through 2030.
The reason to view AI Literacy as an empowering competency is simple: understanding AI, learning about it, and applying it to real-world problems empowers individuals to remain relevant and competitive in this rapidly evolving landscape.
AI Literacy, especially when it is human-centered, is not a panacea for all future challenges, but it is a crucial shield that can safeguard us against obsolescence.
The Urgency of AI Literacy
Imagine a world where every student completes a capstone, cohort-based project applying AI to solve for a real-world Math, Social Studies, ELA, or Science case study. Envision college grads entering the workforce with evidence-based portfolios on how they leveraged and collaborated with AI tools and systems, relative to their major, assuring would-be employers a 3x or greater than traditional output, in order to land their first job. Lastly, picture a company where ALL employees, from mailroom to boardroom, feel empowered (not threatened) and secure about solving job role / function problems utilizing AI, like enhancing customer response times in customer service, shortening sales cycles among sales teams, improving recruiting processes for HR, and enabling most effective board meetings among leadership. This is all possible! And, if you can really see it, this is all available and systemically scalable right now!
- Ethical integration of real-world, AI topics, tools, and experiential learning into K-12 and higher education curricula.
- Providing professional development focused on AI Literacy for educators.
- Ensuring access to AI learning resources for all, regardless of socioeconomic status.
- Encouraging the development of critical and ethical thinking about AI.
- Cultivating a mindset of lifelong learning to adapt to AI’s continuous evolution.
- Systemic, purposeful application across K12, Higher Education institutions, and workforce.
- Scalable, evidence-based systems that authentically prove AI Literacy across lifelong learners.
About the author
- PricewaterhouseCoopers. (2017). Sizing the prize: What’s the real value of AI for your business and how can you capitalise? https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-study.html
- World Economic Forum. (2020). The Future of Jobs Report 2020. http://www3.weforum.org/docs/WEF_Future_of_Jobs_2020.pdf
- McKinsey & Company. (2023). Generative AI and the future of work in America. https://www.mckinsey.com/featured-insights/future-of-work/generative-ai-and-the-future-of-work-in-america​
- The White House. (2023, July 31). FACT SHEET: Biden-Harris Administration Announces National Cyber Workforce and Education Strategy, Unleashing America’s Cyber Talent. https://www.whitehouse.gov/briefing-room/statements-releases/2023/07/31/fact-sheet-biden-%E2%81%A0harris-administration-announces-national-cyber-workforce-and-education-strategy-unleashing-americas-cyber-talent