Leaders everywhere are under pressure to get their workforces to adopt AI. But once that hurdle is cleared and teams are excited about what AI can unlock for the organization, what do you do if cost or access shifts?

It’s important to remember that the AI your team is using today sits on a constrained supply chain. Epoch AI research estimates that the two largest AI labs are growing their share of global AI compute faster than the rest of the industry. Power grids are saying no in Ireland, the Netherlands, and Maine. The advanced chip packaging step has 52 to 78 week lead times. Water is contested in Arizona, New Mexico, and Texas. Costs may rise. Access may tighten. The curve people are quietly assuming in their workforce plans is not guaranteed.

Summer Coxe

Summer Coxe
Consultant

In the midst of that curve, three habits will remain true.

  • First. Know which of your tasks need AI and which just use it. A finance analyst running a routine variance review can do that work in 20 minutes without AI. They use AI to do it in 5. That is real productivity. It is also a habit they can adjust if the cost of those 5 minutes triples. The analyst who has lost the muscle for the 20-minute version is more exposed.

  • Second. Use AI for the high-value work, not the easy work. A lot of AI usage right now lands on tasks that did not need a trillion-dollar technology behind them. The employees who treat AI like a metered utility will outlast the employees who treat it like free electricity.

  • Third. Stay close to the underlying skill. The real risk is not that AI gets too expensive. The real risk is that workers lose the judgment AI cannot replace. The judgment about when to push back on what AI produced. The judgment about whether a draft is actually right. That lives in the underlying skill. When you stop practicing the underlying skill, you lose your edge over the tool.

Optimized AI literacy must go beyond “how to write a good prompt” and “how to spot a hallucination.” It must include resilience. That looks like:

  • A recruiter who uses AI to screen and rank resumes every day but still reads the unscreened pile of every final candidate slate, so her judgment does not atrophy.

  • A marketing manager who keeps a written list of which workflows depend on AI and what the fallback is for each one.

  • An executive team that runs an AI scenario drill twice a year. Pick a Monday. Cut AI access for the morning. Brief the board on what stopped working.

Leaders must ask, “What would happen if our AI tool got 30% more expensive next year? What would the team need to adjust? Can they complete core tasks without AI?”

]Blankenship Change Consulting can help you define your literacy gap by mapping underlying skills to your AI workflows. Then, we develop a proactive action plan for potential budget changes. It’s not something that should be left to chance.

Opinions expressed are from an independent consultant.