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Everyone's talking about AI—but not everyone actually understands it. In this episode, we take a humorous (and slightly savage) look at the rise of "AI posers": people who sprinkle buzzwords like confetti, post hot takes with absolute certainty, and somehow land influencer status or even executive roles without the fundamentals to back it up.
The problem isn't that AI is hard (it is). The problem is that the market is currently set up to reward confidence, speed, and optics over real competence. When companies feel pressure to "do AI," the loudest voice in the room can win—and the bill shows up later in failed pilots, security gaps, messy data, and strategies that sound great in a deck but collapse in production.
We'll break down why this is happening, the most common tells of fake expertise, and how it can push organizations in the wrong direction for months (or years). If you're hiring, leading, building, or just trying to separate signal from noise, this one will give you a clearer filter—and a few laughs along the way.
Subscribe for more practical takes on AI, tech leadership, and avoiding expensive hype cycles.
By David LinthicumEveryone's talking about AI—but not everyone actually understands it. In this episode, we take a humorous (and slightly savage) look at the rise of "AI posers": people who sprinkle buzzwords like confetti, post hot takes with absolute certainty, and somehow land influencer status or even executive roles without the fundamentals to back it up.
The problem isn't that AI is hard (it is). The problem is that the market is currently set up to reward confidence, speed, and optics over real competence. When companies feel pressure to "do AI," the loudest voice in the room can win—and the bill shows up later in failed pilots, security gaps, messy data, and strategies that sound great in a deck but collapse in production.
We'll break down why this is happening, the most common tells of fake expertise, and how it can push organizations in the wrong direction for months (or years). If you're hiring, leading, building, or just trying to separate signal from noise, this one will give you a clearer filter—and a few laughs along the way.
Subscribe for more practical takes on AI, tech leadership, and avoiding expensive hype cycles.