AI is making digital identity even weirder. We already live in a world where: Half the people you interact with online might be bots. AI-generated influencers are racking up brand deals. Deepfake versions of celebrities are being used in ads without them even being there. Now imagine what happens when AI-generated personalities become indistinguishable from real ones. When an "influencer" doesn’t actually exist, but still has millions of followers. Are they a person? A brand? A product? All three? The line between real and generated identity is blurring fast. And we haven’t even figured out how to deal with fake news yet.
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AI is great at mimicking style but terrible at originality. AI can generate a Shakespearean sonnet, a Hemingway-style short story, or a Tarantino-esque screenplay. AI doesn’t create from a place of vision or need. It doesn’t push boundaries, experiment for the sake of it, or rebel against existing norms. It just remixes what already exists. True originality isn’t just statistical variation. It’s breaking the mold—often in ways that don’t make sense at first. AI can generate a thousand stories, but it won’t write the next Dune or Watchmen. That still takes a human. At least for now.
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Your AI model is only as smart as your dataset. People love saying AI is "objective" or "neutral." But it’s not. AI is a reflection of the data it’s trained on. Train it on biased hiring data? It’ll make biased hiring decisions. Train it on old medical research? It’ll suggest outdated treatments. Train it on Twitter discourse? God help us all. Garbage in, garbage out. The real danger isn’t that AI will be evil—it’s that it will amplify the worst parts of human decision-making, but at scale and with confidence. If we don’t fix the data, we don’t fix the AI.
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