Reimagine What’s Possible
Last week, I wrote about my frustration with generative AI and how responses were getting weirder, sycophantic, and just…off. I still believe AI feeding AI is a dangerous loop and that data standards matter more than ever. In just a week, I’ve already noticed improvements in my experience. My memory is back, and the sycophancy has dialed down. It reminded me that AI, like people, is a work in progress. So is how we use it.
That’s why I wanted to share something Fiverr CEO, Micha Kaufman, wrote in a recent company-wide email. He didn’t hold back: “AI is coming for your jobs. Heck, it’s coming for my job too.” That line might sound harsh, but the heart of his message wasn’t fear, it was ownership. It was a call to action: learn how to use AI, or risk missing the opportunity to do your work better, smarter, and in ways that matter more.
In a follow-up article from Entrepreneur, Kaufman explained: “In the not-so-distant future, it won’t matter what your profession is, AI will be a part of it.” At Voiceflip, we encourage people to lean into AI so they can shift their focus to higher-value work. For example, in member support, AI can handle repetitive questions about rules, dues, lockboxes, or CE requirements. That’s great, but what does that free up for staff?
Here’s what higher-value work actually looks like:
Building out new member benefits or programs
Creating education content that helps your members grow their business
Supporting brokers with recruitment campaigns
Analyzing support trends to inform better services
Running retention outreach or revenue-generating projects
The value of AI isn’t just that it answers questions. It’s that it gives people their time back. The same people who used to spend all day in the weeds of support tickets now have the bandwidth to create a meaningful impact.
Kaufman encouraged employees to “make friends with the tools being created for your profession.” I couldn’t agree more. Whether that’s something like Cursor for programmers or something like Ardi for member support, the first step is getting curious. I’ve been having a blast with Kling for video animation. I’ll say it again: understanding is the key to using AI well and you will not get understanding without hands-on learning. Try it. Test it. Question it. You don’t need to be an AI expert to benefit from it, you need to be willing to start.
The people who succeed in an AI world aren’t the ones who resist it. They’re the ones who reimagine what they’re capable of.