Five Pillars for Sustainable Everyday AI in Higher Ed

Olivia Carter

Good afternoon, Mark, I’ve gotta say, after our last episode on how hype and reality collide, I keep seeing universities launch these big flashy AI chatbot projects and, honestly, I just wonder if anyone’s thinking about the basics. I mean, do we really need to chase the hype cycle and jump on every expensive trend?

Mark Putnam

No, Liv. In fact, restraint is one of the most undervalued strategies in higher education technology. I think too many institutions fall into what some call dopamine-fueled IT—chasing novelty for the buzz rather than asking, Does it actually matter? I remember sitting at a meeting of CIOs, listening to colleagues describe custom LLM deployments racking up costs upwards of hundreds of thousands of dollars a month just on consumption. The sheer ambition was impressive. But when you peel it back, it’s not sustainable. Most universities simply can’t support that without cutting essential services elsewhere.

Olivia Carter

Yeah, it’s like, people get FOMO, right? As soon as one campus rolls out an AI chatbot with their name all over it, suddenly everyone thinks they’ve gotta match that move—even if it means pulling cash from, I dunno, student support, academic advising, all those core things.

Mark Putnam

Exactly. We dealt with a version of this when I was a CIO. There was a pitch—custom data analytics and dashboards, fancy demos, executive interest was high. But I remember asking, “Where’s the tradeoff?” If we took this leap, it meant redirecting staff from a student success project. In the end, we said no to the tech and yes to what was more deeply tied to our mission. It wasn’t the sexy decision, but it meant our credibility stayed intact, and, more importantly, so did our core support systems.

Olivia Carter

That’s such a good illustration of credibility being linked to restraint, not showmanship. And I think that’s where the culture of higher ed has to push back against the tech industry’s love of spectacle. It’s not about being the first or the flashiest—it’s about making choices that keep students and the mission front and center, especially as AI technology keeps accelerating. It’s about moving deliberately, not just jumping on every new thing.

Olivia Carter

So on that note, let’s talk about the smarter way forward—what the article calls Everyday AI. Mark, from your perspective, why is it so important to go for the basics first, instead of building your own thing from scratch?

Mark Putnam

Because most institutions already have access to powerful AI through platforms like Microsoft 365 or Google Workspace. It’s right under our noses. Instead of spending huge sums on custom solutions, we can enable productivity and literacy at scale just by using what’s embedded. These tools—Copilot, Gemini—can make a real difference for a fraction of the cost. You create pathways for everyone to participate, not just a small team of power users.

Olivia Carter

Totally. I actually interviewed a director from a university media lab for TechCrunch, and she said the same thing. They doubled their student productivity by leaning into Google Workspace’s AI features—writing suggestions, meeting transcription, all that stuff—before even thinking about buying one-off platforms. No new contracts, no big integration headaches. Just unlocking value from what’s already there.

Mark Putnam

It’s a lesson in stewardship. Quick wins at scale usually come from well-chosen, existing tools rather than headline-grabbing, bespoke investments. And, by normalizing these platforms across the institution, you also raise the baseline for digital literacy—which is going to matter far more than whether you have a single custom app that, frankly, might be obsolete in two years.

Olivia Carter

Right, and you avoid the trap of feeling like you have to “keep up” by spending more than you really need to. It’s so much smarter to get your entire campus using Copilot or Gemini’s built-in features than trying to maintain a one-off LLM just to say you did it first. It’s about scaling smart, not spending big.

Olivia Carter

And that leads straight into what I think might be the hardest lesson for universities right now—this idea of architectural honesty and pluralism. Mark, you’ve always said that avoiding vendor lock-in is basically survival mode for higher ed. Can you unpack that?

Mark Putnam

Absolutely. If there’s one pattern that’s repeated again and again, it’s institutions making huge bets on custom or proprietary solutions, only to see them become either obsolete or unsupportable. With AI, the market is moving so fast—what’s best today might get leapfrogged tomorrow. Investing millions in your own in-house LLM? Odds are, you’ll be stuck with legacy, high-maintenance tech while everyone else moves on. It’s the old early-generation ERP story—except the pace is even faster now.

Olivia Carter

And the pluralistic approach—teaching fluency across Copilot, Gemini, ChatGPT, Claude—all those leading platforms. I heard about a university that actually made it mandatory for students to master at least three AI tools because that’s what employers expect. You show up at Google, they want you fluent in Gemini and ChatGPT. Nonprofits, maybe it’s Claude and Copilot. Students just can’t be one-trick ponies anymore.

Mark Putnam

It’s about versatility and adaptability. Pluralism in AI tools isn’t about indecision—it’s about keeping options open, reducing risk, and, above all, preparing students for a dynamic job market. The institution’s role is to map that landscape, not to funnel everyone into a single ecosystem. That way, when the next big thing emerges—or when something gets sunsetted—you’re not left holding the bag. You’re ready to adapt and keep moving.

Olivia Carter

Exactly, making pluralism part of the curriculum is basically future-proofing your people. And it also avoids the single-vendor trap, which always feels like a great deal until you realize you’ve got zero leverage when the price goes up—or the market shifts. Again, it’s that theme of long-term adaptability over short-term convenience.

Olivia Carter

Let’s shift gears because, honestly, as much as I love talking about tech, the real story is about people, right? Mark, you’ve been so vocal about why integrating AI into the curriculum isn’t just, like, adding a class or two. What’s really at stake?

Mark Putnam

What’s at stake is the kind of workforce we’re cultivating. The trend lines are clear: routine or “Executor” jobs—things based on repetition or narrow specialization—are fading fast. AI accelerates that. So, the urgent need is to prepare students for jobs where judgment, synthesis, adaptability, and orchestration matter. We’re talking “Integrator” and “Orchestrator” roles—those are the growth areas. The university’s responsibility is not to perpetuate the old entry-level mindset but to equip people with versatility and human skill, not just technical specifics.

Olivia Carter

And it’s not just about what gets taught. It’s about creating genuine faculty and student communities where people can actually learn—together—how to use AI ethically and effectively. Like, I know one campus set up a Teams channel for faculty to swap real AI classroom strategies. The stories they shared—what worked, what bombed—those informal exchanges drove way faster adoption than any formal training module ever could.

Mark Putnam

That’s exactly right. At my campus, the cross-campus community of practice became the engine for responsible, confident adoption. When people see their peers testing out tools, making mistakes, sharing outcomes—it accelerates learning and breaks down the fear factor. But you can’t just create the group and walk away; there has to be real investment in ongoing support, professional development, even recognition for faculty and staff as they stretch into these new integrator and orchestrator roles.

Olivia Carter

Totally, and it breaks that siloed mindset, too. It reminds everyone that digital transformation isn’t a one-person project. It’s this living, evolving community thing—messy at times, but way more resilient than just tossing new tech at people and hoping for the best.

Olivia Carter

Alright, so we’ve talked about tech, architecture, people—let’s land this by talking about resilience, especially as the AI “bust cycle” may be on the horizon. Mark, you always say that's where the real character of a university shows up.

Mark Putnam

It does, Liv. History tells us the biggest winners aren’t those who make the most noise when technology is on the rise, but those who stay true to their mission when fiscal and cultural realities shift. The campuses that emerge strong from hype cycles are those that invest in their core—teaching, research, service—not just the technology of the moment. When budgets shrink, what remains is the credibility and adaptability you built through prudent, mission-aligned decisions.

Olivia Carter

Right, and if you look back, you see the same thing. Remember the whole MOOC craze in the late 2000s? Schools that scrambled to become the next big “online disruptor” without really anchoring those moves to their academic or service mission…well, most of them ended up pivoting, or worse, bailing out. It was the campuses that held tight to their purpose—who asked “does this serve our students and our community?”—they survived, sometimes even thrived, after all the noise faded.

Mark Putnam

If you steward your resources and reputation throughout both boom and bust, you can adapt as technology shifts. If you just keep chasing trends, you end up stretched thin, overcommitted, and—ultimately—irrelevant when the landscape shifts. So, prudent alignment with mission isn’t just a nice idea—it’s the path to institutional longevity.

Olivia Carter

That’s a perfect note to end on. So much of what actually works in higher ed—especially with AI—isn’t about who can do the flashiest thing. It’s about mission, stewardship, and adaptability. We’ll keep watching how this plays out—thanks for listening, everybody.

Mark Putnam

Liv, always a pleasure. Thanks for the thoughtful conversation—looking forward to our next episode.

Olivia Carter

Same here, Mark. And thanks to all of you for joining us—see you next time.