The Questions
Nobody Is Asking.
AI literacy for business leaders isn't about understanding the technology. It's about knowing the right questions, so you can evaluate claims, make informed decisions, and avoid the most expensive mistakes.
Most businesses don't have an AI problem.
They have a data problem, a process problem, or an accountability problem, and AI is being sold to them as the solution to all three simultaneously.
AI literacy means understanding what AI can and cannot do for your specific business, in its current operational state, so you can make decisions based on evidence, not vendor enthusiasm.
Nathan has been on a panel with representatives from Mastercard, Boeing, and Google Cloud on exactly this topic. The answer from the practitioner's seat is always the same: structure first, tools second.
- What problem are we actually trying to solve, and is AI the right tool for it?
- Is our data clean, structured, and accessible enough for AI to add value?
- What happens to this AI tool if the vendor changes their pricing or shuts down?
- Who in our organization is accountable for the outputs AI produces?
- How will we know if the AI is making the right decisions, and who checks?
- What are we replacing, and what are the failure modes of the replacement?
- Are we buying AI because it solves a problem, or because we feel behind?