Becoming an AI Translator

Everyone’s learning prompts.

Everyone’s chasing GPT tricks, optimising inputs, stacking tools. And yeah — it’s powerful. But here’s what I’ve come to realise:

The real edge isn’t using AI — it’s translating it.

Most AI outputs aren’t wrong. They’re just misunderstood. Lost in dashboards. Ignored in meetings. Why? Because no one’s bridging the gap between what AI produces and what humans need.

That’s where the opportunity is.

You’re not fighting AI — you’re making it useful.

And the people who can do that — the translators — they’ll always be needed. Because when AI gets better at producing answers, the hard part becomes knowing which answers matter, and how to act on them.

Being a translator means:

• Turning vague goals into clear prompts
• Translating complex outputs into human decisions
• Adding real-world context AI can’t see

It’s not prompt skills — it’s people skills. Clarity. Connection. Context.

In a world of infinite AI output, the advantage goes to the one who makes it actionable.

That’s the role I want to grow into.