AI Agent & Copilot Podcast: Words Matter
Most organizations building an AI strategy spend serious time on the right things: governance frameworks, security policies, and responsible AI guidelines. While this groundwork matters, there is a language problem. Shawn Dorward explores why it might be the most underrated reason AI adoption fails.
In this episode, Shawn makes the case that every word a leader uses around AI is signaling one of three things to their team: this is optional, this is risky, or this is expected. Soft, vague, or overly cautious messaging signals the first two. Clear, direct language signals the third. The difference between those signals is often the difference between a successful rollout and a slow fade.
Key Takeaways
- “Encouraging” and “experimenting” are adoption killers: When leaders frame AI as something to try or pilot, employees hear “optional.” Optional things don’t get done, especially during busy quarters. If your rollout message sounds like an invitation rather than a direction, teams will treat it accordingly.
- Replace “efficiency” with “value”: Telling people to use AI to be more efficient sounds like a thinly veiled way of saying “do more work faster.” Framing AI around the quality and impact of their work actually lands differently. People care about doing good work. Meet them there.
- Be explicit about expectations: Phrases like “We expect AI to be part of your daily workflow” or “Here are three places you can start using it this week” give teams something concrete to act on. Vague direction gets vague results. Navigating the AI landscape toward true AI maturity starts with that kind of specificity from the top.
- Audit the language you’re already using: Go back through your internal emails, kickoff decks, and Teams announcements. Drop them into an AI tool and ask: How would my team interpret this? If the answer is “optional” or “vague,” that’s exactly how it’s being received. Fix it before your next communication goes out.
- Soft messaging protects you from looking wrong and quietly slows everything down: Leaders often hedge their AI language because they don’t want to overpromise. That instinct is understandable, but it creates hesitation at scale. Clarity and honesty are not the same as arrogance. You can be direct without being unrealistic.
AI adoption is not a choice anymore for organizations that want to stay competitive, which makes the quality of your leadership communication more important than ever. Getting this right does not require a communication degree; it requires intentionality and a willingness to say what you actually mean.
