Make AI a taxonomy, says video

A YouTube briefing argues that companies need a shared map for artificial intelligence, not another list of tools. It packages AI literacy as a “periodic table” that sorts systems by what they actually do. (youtube.com) The video groups tools into five buckets: thinking tools, making tools, system tools, agent tools and governance tools. It recommends using those categories to divide work across strategy, creative, production and compliance teams instead of treating “AI” as one job. (youtube.com) That pitch lands in a field already crowded with frameworks. A 2024 systematic review in *Computers and Education: Artificial Intelligence* found AI literacy has been defined in multiple ways, while a 2024 paper in *Journal of Documentation* proposed a 13-facet taxonomy to organize the subject. (sciencedirect.com) (emerald.com) Governments and standards bodies have also moved toward classification and role-setting. The United States Department of Labor said on February 13, 2026 that its AI literacy framework has five foundational content areas and seven delivery principles for workforce programs. (dol.gov) For companies, the split between tool types tracks a real shift in how AI systems are being used. The National Institute of Standards and Technology says its AI Risk Management Framework is meant to help organizations manage risks across the AI lifecycle, and its generative AI profile adds guidance for model-specific risks such as hallucinations, harmful content and privacy issues. (nist.gov) (nvlpubs.nist.gov) The “agent tools” bucket is the part that changes org charts fastest. McKinsey wrote in March 2026 that agentic systems shift the question from model accuracy to accountability when software can make decisions and take actions on its own. (mckinsey.com) The “governance tools” bucket lines up with the language regulators already use. The Organisation for Economic Co-operation and Development says its AI Principles are now used in legislative and regulatory frameworks by the European Union, the Council of Europe, the United States and the United Nations, with emphasis on transparency, robustness and accountability. (oecd.ai) (oecd.org) Education groups have been pushing a similar distinction between using AI and understanding it. Digital Promise said in February 2024 that AI literacy includes the knowledge and skills to understand, use and evaluate AI systems safely and ethically, while UNESCO’s guidance on generative AI called for human capacity and policy planning alongside adoption. (digitalpromise.org) (unesco.org) The video’s core claim is narrower than a prediction about the technology itself. If companies can agree on a common taxonomy for thinking, making, systems, agents and governance, they can assign work more explicitly — and argue less about what “AI strategy” is supposed to mean. (youtube.com)