In today’s AI-driven world, startups are cranking out blogs, posts, and articles at unprecedented speed. But as Kelsey Neville pointed out in a recent session with Cervin Ventures’ portfolio companies, most of that content isn’t leading anyone anywhere. It’s just more noise.
So how do startup marketers break through? How do you leverage AI without falling into the trap of generic, hollow content? Kelsey, a seasoned content strategist, shared a clear message: Real thought leadership starts with real thinking.
AI can draft a polished paragraph in seconds. It sounds smart. It looks professional. But if you’re feeding AI a generic point of view and expecting brilliance, you're missing the point -- and today’s audience is quickly figuring that out.
Kelsey described today’s landscape as an "AI content mirage." On the surface, all of this AI-driven content looks like value. But dig deeper, and it's often recycled insights with no original perspective or proprietary data.
The root of the issue is that companies are chasing the wrong outcomes for thought leadership -- prioritizing volume over thought-provoking dialogues.
As Kelsey and I joked during the session, “To be a thought leader, first you need a thought.” Thought leadership isn’t about flooding feeds. It’s about offering fresh perspectives on entrenched problems, providing new data or insights, or helping your audience understand a shifting landscape.
Kelsey outlined two powerful approaches for thought leadership:
In both scenarios, you’re leading with insights and perspective – not the product you want to sell. In that sense, thought leadership helps provide context for WHY you’re building the solutions you are, but doesn’t focus on selling the product you have.
Some of the largest challenges startups face with thought leadership is focus and consistency. Executives are busy. Resources are limited. That’s often when AI is misused -- to fill those gaps with quantity over quality.
Kelsey’s recommendation on avoiding this trap is to build a strong foundation before you ever start developing content. Here’s is Kelsey’s recommendations for building that foundation:
Sweat Your Assets: One strong piece of content should live many lives -- blog posts, LinkedIn updates, webinars, and more. AI can help with remixing, but only after the core thinking is done.
Kelsey made it clear: AI isn’t a cure-all, it’s also not the enemy. It’s a tool and you need to learn how to use it appropriately. Here’s how she recommends leveraging AI:
Repackage Thoughtfully: AI can help turn webinars into blog posts or draft promotional emails, but only after you’ve defined the message and strategy.
A recurring question during the session was who “owns” thought leadership? Is it Comms? Content Marketing? The executives themselves?
Kelsey’s perspective: It’s a partnership. Marketing teams build the framework, but executives -- and other thought leaders -- must be emotionally invested in the content. Without their buy-in, thought leadership becomes hollow and transactional.
In a world drowning in AI-generated content, the winners will be those who think first, write second, and automate last.
Thought leadership isn’t about being loud. It’s about providing clear, original, and valuable content that helps create a market conversation. AI can help scale your voice, but only if what you’re saying is worth hearing.