Is there anything that AI isn’t doing for you yet in your marketing roles that you really wish it could?

I work at Fivetran, a data-driven company, so we're incredibly fortunate to have sophisticated AI capabilities already available to us so we can: Query our own product, sales, marketing, and customer data using natural language. Automate administrative work like meeting notes, summaries, and workflow triggers. Conduct high-level market research using pre-built skills that improve consistency and save time. These capabilities eliminate a lot of manual work and allow PMMs to focus on more strategi ...Read More

Two things I run into constantly: First, it can't replace my discernment. AI is excellent at synthesizing what's true. It is not good at telling you what matters, or what the one thing is that a CIO is going to remember from your pitch, or when to lead with risk mitigation vs. innovation depending on who's in the room. That's still pattern recognition built from years of customer conversations, deal reviews, and just real-life experience. I'm not sure that's solvable. Second, competitive intelli ...Read More

Most people are still using AI for obvious things like drafting blogs or emails. That’s the low-hanging fruit. It saves time, but it doesn’t fundamentally change how a business operates. The bigger opportunity is when you use AI to augment workflows. For example, I'd like to use AI to take PRDs from product and turn them into a tiered launch bill of materials. It automatically suggests the GTM assets we’ll need based on the scope of the release whether that’s a simple FAQ, a blog post, or a full ...Read More

The honest answer: AI still can't replace the judgment calls that require real relationship context. Reading the room on internal stakeholders. AI can help me draft an exec presentation, but it can't tell me that the CRO is skeptical because of a rough launch six months ago, that the CPO cares more about narrative clarity than data density, or that the right time to introduce a positioning pivot is after Q1 closes. That kind of institutional knowledge and stakeholder mapping is still 100% human. ...Read More