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OG Approved - No BS Tech News # 81

OG Approved - No BS Tech News # 81

August 07, 2025

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Latest Industry Trends and News 📈🌐

👉 Goldman Sachs economist warns Gen Z tech workers are first on the chopping block as AI shows signs of shaking up the labor market

💡What’s the Big Idea?

AI isn’t just replacing repetitive jobs — it’s now threatening Gen Z tech workers, especially those in entry-level coding and support roles, according to Goldman Sachs.

🔑Key Takeaways for Readers:

1. Gen Z tech workers are vulnerable: Junior roles like QA, frontend dev, and IT support are at risk due to fast AI adoption.

2. AI is now hitting white-collar jobs: Tasks once seen as “safe” are being automated — it’s no longer just blue-collar disruption.

3. Skills are shifting fast: Value is migrating toward roles that blend AI fluency with domain expertise, creativity, and orchestration — not just code.

⚡Why It Matters (OG lens):

If you’re still training juniors to do what AI does better, you're not just inefficient — you’re obsolete.

⭐OG Rating:

4.3 / 5 — Strong signal piece. Good insight from Goldman Sachs, although it skims the surface on deeper implications, such as orchestration, trust, and GTM shifts.

👉 Google denies AI search features are killing website traffic

💡What’s the Big Idea?

Google insists its new AI-powered search features aren’t gutting publisher traffic — despite mounting evidence from the open web saying otherwise.

🔑Key Takeaways for Readers:

1. Google's AI Overviews under fire: Publishers and creators claim drastic traffic drops, blaming AI answers for replacing traditional links.

2. Google's defense: They argue AI features still drive clicks, citing user satisfaction and new engagement metrics — but provide no hard numbers.

3. The trust gap is widening: Google’s role as both gatekeeper and competitor is raising questions about control, transparency, and platform fairness.

⚡Why It Matters (OG lens):

When the platform owns the question and the answer, creators lose leverage — and the internet loses diversity.

⭐OG Rating:

4.0 / 5 — Timely and important, but lacks deep data. Watch this space — the fight for open traffic is just beginning.

👉 Microsoft Raids Google’s DeepMind AI Unit With Promise of Less Bureaucracy

💡What’s the Big Idea?

Microsoft is poaching top DeepMind AI talent by offering them what Google can’t: fewer layers, faster decisions, and more room to build.

🔑Key Takeaways for Readers:

1. AI talent is shifting: Microsoft is quietly luring DeepMind researchers frustrated by Google’s internal red tape and limited deployment velocity.

2. The war isn’t just about models: It’s about speed, autonomy, and real-world impact — and Microsoft is positioning itself as the builder’s playground.

3. Org structure matters: Bureaucracy is becoming the silent killer of AI progress — the winners will be agile, not just well-funded.

⚡Why It Matters (OG lens):

The smartest team won’t win the future of AI — it’ll be won by the fastest ship with the fewest anchors.

⭐OG Rating:

4.6 / 5 — Sharp signal of where top-tier AI wants to work and why. Tells you more about the future of org design than any whitepaper.

👉 OpenAI Announces Massive US Government Partnership

💡What’s the Big Idea?

OpenAI just struck a major deal to roll out ChatGPT across U.S. federal agencies — a landmark move bringing generative AI into government operations at scale.

🔑Key Takeaways for Readers:

1. Official government rollout: Federal workers will get access to a secure, enterprise-grade version of ChatGPT via Microsoft’s Azure OpenAI platform.

2. AI goes institutional: This isn’t a pilot — it’s part of a broader shift to embed LLMs in public sector workflows, from documentation to decision support.

3. Trust, security, and control front and center: OpenAI promises data isolation, no training on inputs, and full compliance with federal standards.

⚡Why It Matters (OG lens):

This is AI going from hype to infrastructure — and whoever owns the LLMs powering governments wins the long game.

⭐OG Rating:

4.8 / 5 — Major milestone. Signals generative AI crossing from experimentation to institutional trust. Big implications for scale, regulation, and procurement.