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“Jack of All Trades” No More

If you’ve been watching the job market lately, you’ve probably noticed something odd:

Companies are laying off “generalist” roles left and right, project managers, coordinators, even broad marketing positions, while hiring is quietly surging for very specific skill sets.

This is a trend I don’t think enough people are talking about, and it’s probably the most actionable career shift you can make this year: go from a generalist to a specialist.

Here’s why this matters.

In the old economy, being a great all-around contributor was an asset. You could bounce between projects, fill gaps, and wear multiple hats. But in an AI-enabled workplace, the middle is getting automated first. Coordination? Summarizing? Tracking? That’s exactly what large language models do best.

What isn’t getting replaced as fast? Deep expertise.

Companies still need people who can:

• Ship world-class design in one specific domain

• Implement advanced data pipelines nobody else understands

• Close enterprise deals in a single vertical

• Build systems integrations that don’t break at scale

If you’re feeling stuck or anxious about being “replaceable,” my biggest piece of advice is to pick one thing, one specialty, and go deep. Learn the frameworks. Master the nuances. Build a portfolio that says: I’m the person you call when you need this done right.

It’s scarier than staying broad. But it’s also way more defensible, and in this market, defensible skills are what keep your career moving forward.

If you want a place to start, here’s a simple question:

What’s the one problem people already come to you for help with?

That’s usually a great start.

—Aidan

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:

In June alone, ChatGPT leveled up from a clever sidekick to something closer to a digital command center.

Meanwhile, One Model proved that “ethical AI” doesn’t have to be a hollow slogan, earning top honors for its bias-busting analytics in a year when regulators are circling.

And if that weren’t enough drama, Meta continued its talent raid on OpenAI, scooping up four more researchers to fuel its vision of agentic AI that can think, plan, and act with minimal human handholding.

Let’s get into it.

In This Issue:

• ChatGPT’s June Overhaul: The chatbot just got a lot more capable. (link)

• Ethical AI Gets a Spotlight: One Model wins big in the 2025 AI awards. (link)

• Meta Raids OpenAI (Again): Four more researchers jump ship. (link)

🧠 ChatGPT’s “June”

TL;DR:

June was a landmark month for ChatGPT. New releases included improved memory features, more reliable browsing, expanded custom instructions, and updated coding tools. OpenAI also rolled out better reasoning and faster response times, putting ChatGPT squarely in “always-on assistant” territory.

Our Take:

This is OpenAI’s clearest signal yet: ChatGPT is becoming an operating system for knowledge work. If you haven’t revisited your workflows in a while, June’s upgrades are worth a serious look. Expect more companies to start swapping SaaS tools for GPT-native solutions by default.

🛡️ The Rise of Ethical AI

TL;DR:

One Model was named “Ethical AI Solution of the Year” at the 2025 AI Breakthrough Awards. The company specializes in AI-driven people analytics while maintaining fairness, transparency, and regulatory compliance, a small feat in a year when many HR tech vendors have faced scrutiny.

Our Take:

Most “ethical AI” labels are marketing fluff. But One Model has been ahead of the curve on bias mitigation and transparency tools, and this award validates that approach. If you’re in HR, people analytics, or compliance, watch this space; regulation is coming faster than many teams are ready for.

🧨 Meta Continues to Poach OpenAI Talent

TL;DR:

After snagging a key reasoning researcher last month, Meta has now hired four more OpenAI researchers to work on its next-generation AI models. This follows a pattern of aggressive recruiting across Anthropic, DeepMind, and Mistral talent pools.

Our Take:

Hiring this caliber of research firepower isn’t cheap or casual. Meta’s clearly betting on agentic AI that can plan, reason, and operate autonomously. For developers and enterprise teams, it’s time to start thinking seriously about how your stack will interact with Meta’s ecosystem. The walled gardens are already forming.