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AI predictions are now a corporate sport, Perplexity levels up search, and Oracle just locked in 4.5 gigawatts for OpenAI. Big moves everywhere.

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How to Specialize In One Career Field

Last time, I sd why specializing beats generalizing in today’s job market, especials AI keeps swallowing up the middle of so many roles.

Today, I want to go one level dr. Because when I say specialize, most people ask me the same thing:

“How do I actually figure out what to specialize in?”

It’s a fair question. And it’s easy to overcomplicate.

Here’s the simplest way I’ve found to think about it:

👉 Specialize where your curiosity overlaps with demand.

Most people only look at one side of that equation. They pick something just because it pays well, or because it’s trendy, or because they happen to be decent at it. But if you don’t have genuine curiosity about the topic, you’ll lose steam the moment it gets hard (and it always gets hard).

At the same time, you can’t only chase your interests if nobody is hiring for them. You need a market signal: a clear sign that people are willing to pay for that expertise, now and in the future.

So here’s a little exercise I give people:

1️⃣ Make a list of the 3–5 topics or skill sets you actually enjoy diving into when nobody’s watching.

2️⃣ Make another list of skills or domains that are getting more valuable in your field because of AI (for example, prompt engineering, workflow automation, data analysis, or domain-specific knowledge).

3️⃣ See where those lists overlap. That overlap is where your edge probably lives.

It doesn’t have to be glamorous. It just has to be something you can get better at than 99% of people, and something companies will still need when the automation dust settles.

If you pick well, you’ll find that specialization doesn’t feel like boxing yourself in. It feels like finally working in a space where you can stand out.

Hope this helps you think about your own next move.

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This Week in AI:

No jargon, no filler—just the biggest AI developments worth knowing right now. Perfect for quick industry insights, so you can skip the buzzwords and get straight to the good stuff. Let’s dive into this week’s AI shake-ups, just as promised:

This week is a reminder that AI isn’t just changing products—it’s rewriting the infrastructure of entire industries.

Oracle signed a power deal so big it reads like science fiction. Perplexity is taking another shot at making search actually useful. And predicting who AI will replace has become a game every boardroom wants to win.

Let’s get into it.

In This Issue:

  • The AI Job Predictions Craze: Why execs are racing to forecast who’s getting automated. (link)

  • Oracle and OpenAI’s Stargate Deal: 4.5 gigawatts of data center power. Yes, really. (link)

  • Perplexity Max Is Here: Search, meet enterprise-grade AI. (link)

TL;DR:

According to TechCrunch, predicting which jobs will vanish or transform because of AI, has become a full-on corporate pastime. From consulting firms selling “future of work” workshops to CEOs making flashy headcount forecasts, every big company seems eager to prove they’re prepared for what’s coming.

Our Take:

This is partly hype and partly a real shift. The danger is that these predictions can quickly become self-fulfilling. If you’re in operations, project management, or customer service, it’s worth asking: How can I proactively upskill before someone else’s slide deck decides my fate? Because the forecasts aren’t going away, and neither is the pressure to do more with less.

TL;DR:

Bloomberg reports that Oracle and OpenAI have signed a deal for up to 4.5 gigawatts of U.S. data center power. The project, dubbed “Stargate,” aims to help OpenAI scale training for future GPT models, potentially making it the largest AI-specific infrastructure agreement to date.

Our Take:

This is bananas. For perspective, that’s more power than some small countries use. It shows how quickly AI compute demands are breaking the old economics of cloud infrastructure. For startups and enterprises alike, this is your reminder: if your AI strategy doesn’t include planning for scale, you’re already behind.

TL;DR:

Perplexity has announced Perplexity Max, a premium tier of its AI search engine that includes access to more advanced models, real-time web browsing, and richer answer formatting. It’s aimed squarely at professionals who need deeper research without sifting through dozens of tabs.

Our Take:

While Google and OpenAI jockey for AI supremacy, Perplexity is quietly becoming the power user’s favorite search experience. If you’re tired of traditional search and want something that feels like a smart research assistant, it’s worth a spin. The big question: can they stay independent long enough to build a moat?

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