Chatlog: why can’t we make big, bold, innovative ideas work in an enterprise?

Okay, I’m trying out a new idea: chatlogs. I have a lot of fun chats with friends on various forums that I’d like to share. I often wondered whether I should do a chit-chat podcast but it is a lot of work and time is limited to put consistent effort into growing something like that. So, here’s how I’m thinking of using AI in my blog… long conversations reduced to core ideas by AI and then further edited by me. Conversations will be marked with parties who want to be identified and model used. Let me know what you think…

This is a conversation with 2 workmates, with the help of GPT 4o.

Startups move fast because they have nothing to lose. They can afford to bet the company on a single product, a single idea. When it works, they’re hailed as visionary. When it doesn’t, no one remembers. The stakes are asymmetrical.

For large tech companies, it’s the opposite. Every product decision exists under the shadow of revenue protection. This is especially true for companies like Google, where core revenue—search—is so dominant that everything else becomes subordinate. Even feature decisions in Chrome are reportedly vetted against whether they might divert traffic away from search. When that’s the lens, it’s no surprise that bold bets get smothered early.

Reference to Google search revenue comment: “Are AI Browsers the Future with Josh Miller” (Deeper Question segment) in Wave Form Podcast

It’s not always about fear. It’s about structure. With scale comes process, and with process comes inertia. You optimise for predictability, for shareholder returns, for quarterly wins. And slowly, your tolerance for ambiguity—where all big ideas are born—starts to shrink.

The classic “innovator’s dilemma” plays out not just in strategy decks but in the day-to-day mechanics of product development. Leaders talk about thinking big but prioritise metrics that reward incrementalism. Risky ideas don’t die in dramatic battles—they suffocate in review meetings.

Contrast that with companies still led by founders. Airbnb under Brian Chesky is a notable example. He sees himself as the “chief product officer,” setting vision the way Jobs did at Apple. Founders often aren’t constrained by the same internal politics or short-term optics. They don’t need to justify why a bet matters—they embody it. When leadership comes from conviction rather than consensus, you get products that feel coherent, even brave.

Reference to Brian Chesky taking Airbnb in a bold direction: “Airbnb CEO Brian Chesky wants to build the everything app” in Decoder Podcast / The Verge

Of course, not every company can be founder-led forever. But the lesson isn’t just to find the next Steve Jobs. It’s to preserve structures that allow space for bets without obvious ROI. Gmail was once a pet project. Google Maps emerged from a small team in the Sydney office. These weren’t the result of meticulous planning—they were artifacts of a culture that permitted experimentation.

That culture is fading. The famed 20% time that birthed some of Google’s best products has all but disappeared. Innovation is now gated behind PnLs, forecasts, and alignment. And so companies default to sustaining innovations instead of disruptive ones. They invest in efficiency, not reinvention. They optimize what exists rather than challenge its necessity.

But in the long run, it’s often safer to cannibalize your own business than wait for someone else to do it. The teams that understand this—who push forward even in the absence of pipeline or proven demand—are the ones building the future. Not because it’s validated, but because it’s inevitable.

Bold moves don’t come from consensus. They come from belief, vision, and a willingness to absorb risk. The real challenge for big tech isn’t capability—it’s permission. Permission to act like a startup even when you’re not. Permission to be wrong. Permission to bet the farm, not because it’s safe, but because it matters.