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The grey zone of AI

AI debate is loud at the edges. Most teams sit in the middle: learn enough, start from an actual need, and move step by step.

AI is not a yes or no question

Most teams live in the grey zone

Most businesses are neither AI doomers nor fanboys. They sit in the middle, where the real work is: understand enough to make good decisions.

Screenshot of Dario Amodei prediction about AI writing 90 percent of code in 3 to 6 months

That clock feels like it should have expired twice already.

Source: Business Insider

You do not need to love every model, and you do not need to fear every new release. You do need enough fluency to follow the discussion, ask the right questions, and spot where AI may help.

A useful example is a team that wants AI in a workflow. The real question is not which model to use. It is whether the problem needs a new tool, a process change, or simply better judgment about where AI belongs.

That is why the grey zone matters. It leaves room for judgment and keeps you from panic on one side and hype on the other.

Rule of thumb
“The goal is not belief. It is judgment.”
Start with the business case

Use case first

Before you pick a model or buy a tool, define the business problem.

Ask where genAI could genuinely help. Then look at how others solve the same problem. What is your gap? Do you need a distinct product, a workflow change, or support from IT?

  • Where does AI save time or improve quality?
  • How do others solve this today?
  • What is missing in our current process?
  • Do we need a product, or a better internal workflow?
  • Is this worth doing at all?
“If the business case is weak, the AI case is weak too.”
Move slowly

One tool, then the next

The market is full of new models and products. That noise can make even good teams jump too fast.

For business users, start with prompting. Look for tasks you can already delegate to AI, then build a small prompt library around those cases.

Share those prompts with your peers, compare results, and agree on common wording. That gives the team a shared baseline before anyone starts talking about bigger tools or workflow changes.

Start with prompts, learn what can already be delegated, and build a common language with the people around you.

Final advice

Baby steps

GenAI is huge. Do not panic. Start small, learn from use, and move only when the next step is justified.

That is how you stay useful in the grey zone: start with the business case, move one tool at a time, and keep learning from the people around you.

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