ChatGPT’s breakout success in November 2022 was surprising due to its slow speed and inaccurate outputs, yet consumers still embraced it. Google’s approach avoided “YOLO” release strategies that would trade trust, speed, and reliability for faster deployment. Google’s comeback in the AI boom is attributed to technical depth and broad reach across consumer platforms. Core product values—quality of information, trust, and accuracy—remain important, alongside speed. Specificity and human perspectives matter for relevance, as shown by the need for a particular charger type rather than generic advertising. Detail improves the match between user intent and delivered experiences.
"Three things surprised Nick Fox about ChatGPT's breakout success in November 2022: how slow it was, how inaccurate it was, and how consumers embraced it anyway. "It was surprising to see there was appetite there," he said."
"I asked him if, in retrospect, Google should have released its own products sooner, #YOLO-style, and thrown caution to the wind over trust, speed, and reliability. "I don't think it would have been the right thing for us to #YOLO," he responded drily."
""We've seen this play out over time. People do care about quality of information. That's very very important. People don't want incorrect information. People do care about speed," he said, adding: "It's been clear that people don't want incorrect information - and so that bedrock of trust and accuracy has served us well.""
"Fox helped create Google's search as we know it, and presi Speaking to the marketers, Fox said he'd recently been shopping for a charger to power his cats' water fountain. "I wanted a white one. I wanted a flat one. I wanted it to be USB-A, for some reason. That was the product that I was looking for. A broad ad about random chargers wouldn't have worked - would just wouldn't have been relevant to that experience. So specificity matters. Human perspectives matter, detail matters in this moment.""
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