Now that generative AI is accessible to all, claiming "we have AI" is table stakes. The real competitive advantage lies in clearly articulating what the AI *does* for the user to create a differentiated product experience and value proposition. The key question is always, "So what?"
To stay current in a fast-moving field like AI, passive learning through articles and videos is insufficient. The key is active engagement: experimenting with new platforms, trying new features as they launch, and even building small applications to truly understand their capabilities and limitations.
Instead of leading with features, effective tech marketing starts with deep empathy for the user's specific problem, like a clerk asking if a customer needs to hang a picture on drywall or brick. The story then positions the product as the tailored solution to that unique challenge.
As customer interactions become increasingly conversational via chatbots and AI agents, traditional CX analytics focused on clicks are incomplete. The next frontier is analyzing the content and quality of these conversations to get a full picture of the customer experience, moving towards a single source of truth.
Amidst thousands of MarTech solutions, the simplest explanation wins. If a child can grasp why your product exists—to help people get what they want faster—then a time-poor executive can too. This simplicity test is crucial for creating a memorable value proposition in a crowded space.
For marketing leaders, the primary anxiety around AI isn't job replacement. It's the expectation from the board to immediately have a strategy for new capabilities, like "ChatGPT instant checkout," that launched mere hours ago. This creates a constant state of reactive pressure and fear of the unknown.