Four AI Questions Every Executive Should Be Asking

We’re moving into a phase where AI is no longer just a tool—it’s a strategic pressure test on every part of the business. Technologies are shifting weekly. Industry models are being rewritten in real time.

For leadership, staying current isn’t optional anymore—it’s operationally essential.

Here are four questions every executive should be asking weekly to stay ahead of the curve:

1. What AI capabilities launched this week that change our assumptions?

The AI landscape is evolving at an extraordinary pace. Capabilities that were unimaginable last quarter are table stakes today. If you’re not actively tracking what’s being released—and reconsidering your assumptions—you’re already behind.

Question Every Assumption. Question Every Requirement

2. Which competitors are using AI to redefine our industry's economics?

Some companies are using AI not just to speed things up—but to reshape cost structures, pricing models, and service delivery entirely. If you’re not watching how your competitors are deploying AI, you’re missing signals that could redefine your market.

3. Where are we still optimizing for human productivity instead of AI-human partnership?

The biggest performance gains won’t come from automating everything—they’ll come from rethinking workflows around AI-human collaboration. Ask: Where are we still designing processes as if people are working alone, without AI at their side? That’s legacy thinking.

The broader shift I’m seeing is this: traditional tools your calendar, inbox, CRM are not just being AI-enhanced; they're being replaced. These systems were built around human bandwidth, manual input, and constant context-switching. However, we are entering a phase where AI-native product design will become the new standard.

This is not hypothetical—it’s 12 to 18 months away. AI-enhanced is 2025; AI-native is 2026.

4. What workflows would break if AGI arrived tomorrow?

This question forces clarity. If a general AI system walked in and joined your company, what processes would become instantly obsolete—or dangerously exposed?
The goal isn’t panic. It’s preparation. Thinking this way helps reveal fragile workflows and identify where you’re still designing for the past.

If you are optimizing your current stack as if it’s still going to be relevant, you may be building around a constraint that’s already disappearing. Worth keeping that in mind.

AI isn't a distant future scenario it’s a current leadership challenge. The companies that treat AI as a standing strategic topic, not a side initiative, will be the ones best positioned for what’s coming.

Are these questions part of your team’s regular review?
Let me know how you’re thinking about this and if you'd like help structuring the conversation.

As always, feel free to forward this to colleagues who should be asking these same questions.

Talk soon,