Steve Case's AI Playbook: Protecting Worthwhile Friction
Venture capitalist Steve Case knows a bubble when he sees one. He’s lived through them. Now, as artificial intelligence floods the market with capital, Case is looking at things a bit differently. He isn’t chasing the hype. Instead, he’s focused on where AI is actually going to stick—and why the rush to automate everything might strip away the exact friction that makes certain businesses work. We spoke with Case about his investment playbook, the sectors he thinks are primed for a shakeup, and why rushing to remove every hurdle in front of a customer isn't always the smart play. *** <h2>Why Today's Gold Rush Feels Familiar</h2> You’ve seen this movie before. The internet in the nineties. Telecoms. Dot-coms. Case was there for the first wave of consumer web adoption, and he says today’s AI frenzy carries the same unmistakable scent of irrational exuberance. "There's a lot of money chasing a very small number of obvious winners right now," Case notes. "That usually ends with a lot of people losing their shirts." That doesn't mean the tech is a fad. Far from it. But Case argues that the real winners won't be the companies building the base models that everyone else uses. They'll be the ones figuring out how to apply AI to massive, unglamorous industries that tech has mostly ignored—healthcare, education, agriculture. The trick isn't building a smarter chatbot. It's knowing which heavy industries are actually ready to change. <h2>Why Worthwhile Friction Needs Protection</h2> Efficiency is the holy grail of Silicon Valley. If you can make a process faster, cheaper, and frictionless, investors write you a check. Case pushes back on that reflex. There’s a difference between a broken process that needs fixing and friction that actually adds value to a human experience. "Sometimes, the friction is the product," he says. Think about education or mentorship. If you automate every part of a student's learning curve so they never struggle with a concept, you haven't helped them—you've hollowed out the education. The same goes for high-end hospitality, legal strategy, and complex healthcare decisions. People don't just want an answer in two seconds. They want to know they've been heard, and that takes time. Founders need to ask themselves a hard question before they deploy an LLM to wipe out a customer service team or an advisory layer: Are you removing waste, or are you deleting trust? <h2>Where the Money Is Actually Going</h2> So, where is Case putting his capital? Not in San Francisco or New York. He’s doubling down on what he calls the "Rise of the Rest"—building ecosystems outside the traditional coastal tech hubs. He believes the next generation of AI-driven enterprise software won't come out of a Palo Alto garage. It'll come out of cities where founders understand localized, practical problems in manufacturing, logistics, and government services. "The coastal bubbles are crowded," Case says. "The real alpha is happening in places where people are solving actual, physical problems."
Key Details
- Key Speaker
- Steve Case
- Core Question
- Abundance versus Scarcity in AI
- Event
- Skift Global Forum
What Stays Scarce When Intelligence Gets Cheap?
Listen to most tech prophets and they'll promise an effortless future where everything scales to infinity for pennies. Venture capitalist Steve Case cuts through that chatter with a much colder question. Will a given resource become abundant, or will it stay scarce? Filter the current AI boom through that single binary, and the whole board shifts.
Raw intelligence is tumbling into the abundance column fast. Capital, meanwhile, has to fight over whatever remains genuinely hard to replicate. It's a blunt way to read markets, but it forces founders to stop pouring money into problems an algorithm will soon solve for micro-cents. Yet this ruthless math leads straight to a paradox Silicon Valley pitch decks conveniently ignore.
Why Your Business Might Need More Sand in the Gears
You'd expect an industry pioneer to spend his energy erasing every last millisecond of delay. Case argues the exact opposite. His current playbook demands that modern companies identify—and actively protect—the friction that's actually worth keeping.
We spent twenty years building slick software to strip all the grit out of travel booking, shopping, and messaging. But automated efficiency crosses quickly into sterile commoditization. When every company relies on identical predictive models, the magic vanishes. Smart operators now have to figure out which speed bumps, human touchpoints, and deliberate roadblocks add value rather than just annoying people.
Taking the Argument to the Stage
How this balance plays out in practice is bound to trigger serious debate on the main stage. Travel and hospitality live or die in the space between frictionless logistics and deeply human experiences. If software handles the entire itinerary, what happens to the serendipity of travel? We'll get into the weeds of that dilemma at the upcoming Skift Global Forum, where industry executives assemble to chart a course for money after software swallows the mundane.
Honestly, it's a refreshing antidote to the usual utopian tech noise. Instead of asking how fast we can automate every single second of a trip, Case forces us to confront a harder question: What are we destroying in our rush to make everything smooth?
Source: Skift | 14 September 2026
Why It Matters
As AI reshapes the travel industry, distinguishing between annoying administrative hurdles and valuable human friction will define which brands actually retain customer loyalty.
Source: Skift. Content curated and produced by Skyplus Team.
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