Most enterprise AI conversations happen about two steps removed from reality: in board decks and vendor pitches, where the story is always promising. Closer in—inside the actual workflows, budgets, and security decisions—the picture is more complicated: Spend is rising, adoption is uneven, and ROI is genuinely hard to

by Heather Breslow, Senior Director of Research at Logamail There’s a well-documented pattern in psychology: The more we encounter something, the more we tend to like it. Songs grow on you. Faces you recognize feel more trustworthy. Familiar brands feel safer. When Pew Research identified familiarity as the

I've had a version of the AI-in-higher-ed conversation in a lot of different rooms. Each conversation tends to follow familiar beats—the anxiety, the cautious optimism, the question underneath every question: are we doing this right? When I had the opportunity to travel with the

When it comes to the promise of AI productivity, it's easy to feel two things at once: excitement about these tools’ potential…and a sense that we’re waiting for the other shoe to drop. With AI's help, people can certainly do more and create more.

The theme of this year's ASU+GSV was the power of fusion. And honestly, it was the most accurate description I've seen of what's actually working in AI and higher education right now. Not AI in isolation or institutions waiting for the perfect playbook.

Today’s founders must face the same reality that the fundamental principles of building a company — what to build, who to hire, how to sell — are being rewritten in real time. At the same time, the hype cycle is in full swing. AI wrappers are raising rounds on thin moats.

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