"If you look at the dot com bubble, that's the best example that we have of what happened in the past. A lot of companies went bankrupt, but there were some companies that actually did really well, like Amazon, for example. So I think [that's] what will happen with AI. There are use cases that are tangible and real, and there's a lot of hype... post-bubble, that hype is not going to last, but tangible results that actually solve problems and then lead to results that team will remain and will thrive afterwards."
"With younger people on our team, they use the AI tools and it spits out a response or an answer. They're junior and they don't know how to analyze if it's right or read between the lines or critique it - that's probably been our biggest challenge."
"Any junior person who does a deck using AI or you can tell something is crafted with it, it's always reviewed with a more senior member of the team, and they walk them through and ask 'Hey, where'd you get this information?' It's drilling in: AI isn't always the best place to go for things, and kind of having that mentorship with the younger generation, just making sure they are reading, rereading, and then what to look for when using AI. Ed"
Marketers, brands, and tech companies focused on strategies and ethics for integrating AI tools and chatbots into workflows. Practical adoption emphasizes training employees to use AI as a complement, not a replacement, with strong senior review and mentoring for junior staff. Publishers and brands are exploring agent tools while prioritizing the human touch and ways to bridge internal divides over AI. Real use cases that solve problems are expected to outlast hype and produce sustainable benefits. Concerns center on overreliance, verification of AI outputs, and preserving judgment and context in decision-making.
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