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40 Jobs Microsoft Says will be replaced by AI and 5 Underlying Trends

Microsoft’s AI cloud services boost revenue growth, China probes NVIDIA over AI chip concerns, Microsoft Copilot tests GPT-5 Smart Mode and more!

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Everyday AI
July 31, 2025

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Today in Everyday AI
7 minute read

🎙 Daily Podcast Episode: Microsoft just revealed the 40 jobs most likely to be replaced by AI. Discover the key AI trends fueling job displacement and what you can do to stay ahead. Give it a listen.

🕵️‍♂️ Fresh Finds: GitHub Copilot reaches 20M users, Figma CEO says superintelligence isn’t a threat and how OpenAI and Intercom are creating a sustainable AI advantage. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Microsoft’s AI cloud services boost revenue growth, China probes NVIDIA over AI chip concerns and Microsoft Copilot tests GPT-5 Smart Mode. For that and more, read on for Byte Sized News.

🧠 Learn & Leveraging AI: Is Microsoft’s list of 40 jobs being replaced by legit? What does this mean for the future of work? We break it down. Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about Meta sharing superintelligence vision, Microsoft seeking long-term contract with OpenAI, Google joining EU’s AI Code and more. Check it here!

40 Jobs Microsoft Says Will Be Replaced by AI and 5 Underlying Trends đź’Ľ

Microsoft just released the 40 jobs most likely to be eaten alive by AI.

Is your job on the list?

And we noticed some HUGE trends in this recently released report that no one's talking about.

Also on the pod today:

• Key Trends in AI Impact on Employment 📉
• Top AI Disruption Archetypes: Four Job Categories 👥
• Higher Education and Knowledge Work Vulnerabilities 🎓️

It’ll be worth your 46 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Grimo bills itself as an AI-powered Vibe Writer, InboxSwipe is an AI-powered solution for Inbox Zero, FluxTech allows you to generate AI images in your favorite code editor.

Github – GitHub Copilot has reached 20M all-time users.

Figma – Figma’s CEO says that superintelligence is not a threat to the company.

OpenAI – OpenAI released an article on how Intercom is creating a sustainable AI advantage using ChatGPT.

AI Models - Quora’s Poe has released a developer API with access to a ton of AI models.

AI models – Experts are saying that crowdsourced AI benchmarks have major flaws.

AI in Healthcare – The Mayo Clinic is using AI to achieve a breakthrough in diagnosing cancer.

Business of AI – Uber Eats is adding AI to menus, food photos and reviews.

1. Microsoft’s AI-Powered Cloud Booms, Driving Record Revenue Growth 🚀

Microsoft just reported an 18% revenue jump in Q4 2025, fueled by a 34% surge in Azure cloud services, showing how AI and cloud tech are reshaping business landscapes. With Microsoft Cloud revenue hitting $46.7 billion and overall net income climbing 24%, the company confirms that AI-driven digital transformation is no longer future talk—it’s happening now.

According to Microsoft’s latest earnings release, the cloud and AI wave is not only lifting tech giants but also redefining career and business growth strategies worldwide.

2. China Probes NVIDIA Over AI Chip Security Concerns 🕵️

China’s cybersecurity watchdog has launched an investigation into NVIDIA’s H20 AI chip, raising alarms over potential "loopholes and backdoors" in the device designed specifically for the Chinese market. This move comes amid ongoing U.S. restrictions on advanced chip sales to China, signaling heightened tensions in the global semiconductor landscape.

NVIDIA was summoned to explain these security concerns just weeks after the company indicated it would resume shipments to China.

3. Microsoft Tests GPT-5 Smart Mode in Copilot Ahead of August Launch 🤖

Microsoft is quietly testing a new "smart mode" powered by GPT-5 within both consumer and commercial versions of its Microsoft 365 Copilot. This mode promises to dynamically choose the best AI model—thinking deeply or quickly depending on the task—eliminating the need for users to manually switch between models.

Although internal versions still appear to run GPT-4, the interface hints that GPT-5 integration is imminent, aligning with OpenAI CEO Sam Altman’s vision of a unified, seamless AI experience.

4. OpenAI Launches Stargate Norway to Boost Europe’s AI Ambitions 🇪🇺

OpenAI announced a major step in Europe’s AI infrastructure race by partnering with Nscale and Aker to build Stargate Norway, its first AI data center in the region, powered entirely by renewable energy and planned to house 100,000 NVIDIA GPUs by 2026. This $2 billion project near Narvik leverages Norway’s cool climate and hydropower, aligning with EU mandates on energy efficiency and data sovereignty.

While separate from the EU’s €30 billion AI factory investments, Stargate Norway aims to prioritize local startups and researchers, reinforcing Europe’s drive for sovereign AI compute.

5. Google Tests AI to Verify User Age Across Its Platforms âś…

Google is rolling out a machine learning system in the U.S. to estimate user age and tailor content restrictions accordingly, aiming to protect minors more effectively across all its services. If flagged under 18, users will face limits like disabled Maps timeline, restricted ads, and tighter YouTube digital well-being features, with an option to appeal via ID verification.

This move follows similar steps on YouTube and aligns with growing regulatory pressure on age gating in tech, reflecting a broader industry shift toward safer online environments.

6. Amazon’s Alexa Fund Backs Fable’s AI-Powered TV Show Platform 📺

Amazon’s Alexa Fund has invested in Fable, a San Francisco startup launching Showrunner, an AI-driven service that lets users create TV scenes or episodes from simple text prompts. Launched after a closed alpha with 10,000 users, Showrunner aims to transform entertainment into an interactive, user-directed experience, blending animation and AI storytelling for free viewing and eventual subscription-based content creation.

Fable’s CEO Edward Saatchi envisions this as a shift toward “two-way entertainment,” where audiences become creators, although he admits AI currently excels only at episodic formats rather than long, complex arcs.

🦾How You Can Leverage:

Microsoft just released the most telling (and kinda brutal) AI job study ever conducted.

Researchers didn't survey people.

They didn't make predictions.

They watched 200,000 real workplace chatbot conversations where humans successfully used AI to do their actual tasks.

Then, Microsoft researchers coded every AI chat convo against 18,000 federal job tasks.

A data-based approach that shows which types of roles could be most disrupted by AI. (40 of them to be exact… keep reading for Microsoft’s full list.) 

This isn't economist guesswork or trend forecasting.

So on today's show, we're exposing why your expensive education makes you a bigger target and the shocking patterns nobody's discussing.

This one’s deep. 

Here’s the quick takeaways. 

1 – Human APIs Are Gonna Be Extinct 🗑️

The most vulnerable job types? Human APIs.

Information in, synthesize, personalize, information out.

What does that mean? 

Those are the market researchers reading surveys to write reports, the translators converting text between languages and writers and PR peeps who may simply be repurposing content. 

Large language models excel at exactly this, which is why these types of roles are at high risk of being displaced by AI in the future. 

The study revealed four doomed archetypes: information synthesizers, frontline communicators, knowledge curators, and process coordinators.

The takeaway? 

These types of roles may not withstand the test of an AI-native work world. 

Try This: 

List every task that fits the "information in, information out” category and happens entirely in front of a computer without interfacing with groups of humans in between. If it's over 80% of your job, you might wanna start looking at a long-term pivot. 

If that’s you? 

It’s time to add value to your role by touching grass. Lolz. 

Add physical elements to your role. Schedule face-to-face meetings. The value of human interaction is skyrocketing while everyone hides behind screens and automating AI with AI-driving autonomous AI automations. 

(Yeah that was supposed to sound silly.)

2 – Your Degree Kinda Targets You 🎯

Higher education could mean higher AI job exposure, according to the research.

Data scientists are more exposed than construction workers. College degrees could even be a liability now, at least when it comes to AI exposure through the lens of this study. 

The more your job lives on a screen, the more replaceable your job type may be in the long-run. 

Physical jobs—anything hands-on—faces very little threat, at least in this study. (Which, TBH, probably isn’t a good gauge for comparing the two, given there’s likely 50X more desk sitters in the 200,000 chats vs. in-the-field workers)

Lawyers who memorized case law? Reasoning models remember better. That’s a big shift.

Knowledge workers built careers on processing information. AI does it faster.

Try This: 

Calculate your physical interaction percentage. Under 30% face-to-face time? You're in trouble. Build relationships requiring human presence. Position yourself as the bridge between AI efficiency and human insight.

3 – You’re Training Replacements Daily 🧍

AI corrections that humans make while working inside AI chatbots can ultimately teach models your job.

So when you’re iterating with a LLM, sharing your docs, and trying to tweak its output to match EXACTLY what you need, it’s actually a win-lose scenario for the human.

Sure, we’re all saving some time. 

But, we’re also training models to get to the right answer for our daily tasks, with millions of domain experts giving away their most valuable insights daily in order to squeeze more AI juice. 

In the long run….greedy companies may be the ones ultimately winning as future models have learned the right way experts perform these 18,000 subtasks. 

Many enterprise orgs (especially public ones in the U.S.) will gladly accept 5% quality drops from cheap AI in exchange for massive cost savings vs. expensive humans. 

Because good enough cheap AI beats perfect expensive humans when profit margins matter most.

We're automating the grunt work that traditionally taught junior employees the industry expertise they needed to climb the ladder.

.

Try This: 

Identify three pieces of knowledge only you possess. Client quirks. Decision patterns. Industry insights no database captures. Position yourself as the irreplaceable human expert driving AI systems with unique intelligence.

Here’s Microsoft’s complete list of roles that could be most impacted by AI: 

  • Interpreters and Translators

  • Historians

  • Passenger Attendants

  • Sales Representatives of Services

  • Writers and Authors

  • Customer Service Representatives

  • CNC Tool Programmers

  • Telephone Operators

  • Ticket Agents and Travel Clerks

  • Broadcast Announcers and Radio DJs

  • Brokerage Clerks

  • Farm and Home Management Educators

  • Telemarketers

  • Concierges

  • Political Scientists

  • News Analysts, Reporters, Journalists

  • Mathematicians

  • Technical Writers

  • Proofreaders and Copy Markers

  • Hosts and Hostesses

  • Editors

  • Business Teachers, Postsecondary

  • Public Relations Specialists

  • Demonstrators and Product Promoters

  • Advertising Sales Agents

  • New Accounts Clerks

  • Statistical Assistants

  • Counter and Rental Clerks

  • Data Scientists

  • Personal Financial Advisors

  • Archivists

  • Economics Teachers, Postsecondary

  • Web Developers

  • Management Analysts

  • Geographers

  • Models

  • Market Research Analysts

  • Public Safety Telecommunicators

  • Switchboard Operators

  • Library Science Teachers, Postsecondary

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