Your competitors are using the same AI tools you are, but while 88% of organizations have adopted generative AI, only 6% qualify as “AI high performers” seeing real bottom-line value. Everyone bought the same hammer. Most are using it to drive in a single nail: drafting, summarizing, cleaning up copy.
That’s the shallow end, and it’s not an edge, since every competitor has the same shortcut. As Google’s VP of Global Ads, Dan Taylor, put it, “AI is really a leadership challenge more than a technology challenge.”
Here are five habits that separate the two.
Don’t Just Use AI as an Assistant – Use It as a Sparring Partner
Many leaders use AI the way they’d use a sharp new intern: draft this, summarize that, clean up the formatting. For the C-suite, however, the value isn’t in producing more polished documents faster – it is in making better decisions, managing risk, and allocating resources.
To bridge this gap, leaders must elevate the level of work they delegate to AI:
- Instead of: “Summarize this report.”
Move toward: “What are the top three strategic implications a CFO, CHRO, or board member should care about in this data?” - Instead of: “Help me prepare for this meeting.”
Move toward: “Role-play a highly skeptical stakeholder. Challenge my logic and point out where my assumptions are weak.” - Instead of: “Rewrite this proposal.”
Move toward: “What is the strongest possible objection to this strategic direction, and how should we mitigate it?”
An assistant saves you time. A sparring partner saves you from a bad decision. That second thing is worth more.
Don’t Trust the ‘Polished Mirror’
Asking better questions only works if you trust the answers, though. AI wants you to like it, and that costs more than you’d think. A recent Stanford study found that across leading models, AI is 49% more agreeable than humans, frequently validating a user’s assumptions even when their logic is flawed, biased, or counterproductive.
The researchers warned that this extreme “social sycophancy” makes users more morally dogmatic and less likely to self-correct. Decisions at the executive level require friction before they need polish. Ask AI to argue the other side before you ask it to agree with you.
Rehearse the Reaction, Not Just the Speech
The same scrutiny applies to how a decision lands, not just whether it’s right. Before a hard conversation or a layoff announcement, most leaders prepare what they’re going to say. Few prepare how it’ll land. We’ve sat in enough of these rooms to know the speech usually isn’t the problem. The reaction to it is.
Before executing a major change or stepping into a high-stakes conversation, use AI to anticipate friction points:
- “What will the quiet resistors hear in this messaging?”
- “Where is this narrative likely to trigger defensiveness or anxiety across the broader team?”
- “What underlying motivations or concerns am I potentially overlooking?”
This exercise does not replace executive empathy or accountability; it ensures you enter the room prepared, grounded, and less reactive.
Know When the Answer is Confident, Not Correct
A critical component of AI fluency is knowing when to reject the answer. AI delivers wrong answers with the same confidence as right ones. Treat its output like a junior analyst’s first pass: fast, useful, not yet trustworthy. Before you act on it, ask:
- Where is this likely overconfident?
- What is it leaving out?
- What would a smart critic in the room flag immediately?
If you wouldn’t accept the reasoning from a person, don’t accept it from a model.
The Real Talent Question
That same instinct – pushing past the first answer – applies before you’ve even opened a search. A leader who’s dabbling says, “We need to hire an AI leader.” A leader who’s fluent asks what’s broken first, because “AI leader” can mean completely different roles:
- A Builderwho develops proprietary technical architecture.
- A Translatorwho bridges technical teams and commercial business units.
- An Operatorwho embeds AI capabilities directly into legacy workflows.
- A Governance Leaderwho navigates shifting compliance, legal, and board risk.
Hire for the wrong one and you get organizational drag, not progress. Get the mandate right before the search starts.
Bedford works with organizations building and scaling AI leadership teams, from CAIOs to the technical and governance roles that make AI strategy real. If you’re defining a mandate before a search, we’d welcome the conversation.