💼 AI's impact on jobs

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Hi AI Futurists,

It’s no secret AI is having a dramatic impact on jobs and how we do work daily. What does the latest research say? Let’s take a look.

Here’s our agenda.

• Our sponsor: Taplio

• Top AI news

• The impact AI is having on jobs

• Top 3 selected AI tools

• AI in the wild

Best,
Lex Sokolin

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Top AI news

🖼️ Google updates AI image generation, adds loyalty program option for retailers
Google’s Gemini got a face-lift and a loyalty card.

🍺 The rise of beer made by AI
Now even your IPA can say “I, for one, welcome our new robot brewmaster.”

📺 ‘AI slop’ videos are taking over YouTube and TikTok
Your “For You” page just became a fridge full of leftovers.

🏙️ The Chinese city punching above its weight in AI and robots
A mid-sized city is going full-Transformers while others are still coding macros.

🧠 New procedural memory framework promises cheaper, more resilient AI agents
AI just got a working-memory upgrade—no sticky notes required.

🐒 China’s ‘Darwin Monkey’ is the world’s largest brain-inspired supercomputer
The monkey brain now beats your gaming rig 10,000 to 1.

🌍 AI simulates 500 years of climate in days, predicts current crisis
Fast-forward button on Earth’s problems: not the binge-watch we wanted.

🔬 Why science must embrace co-creation with generative AI
Einstein had a chalkboard—today’s scientists need a chatbot co-author.

🧙 Epic’s “Doctor Strange” moment: AI for possible patient futures
Your medical chart just started looking into the multiverse.

🏥 MIT finds AI can amplify medical errors and bias
AI in medicine: sometimes it cures, sometimes it just misdiagnoses faster.

AI is changing jobs, here’s how

A new study from Stanford economists offers some of the first hard data showing how AI is shifting the job market—and it's hitting young workers the hardest. Since 2022, entry-level employment in AI-exposed roles like customer service and software engineering has dropped 13%, while older workers in the same fields have seen employment growth. Researchers found that younger employees, ages 22 to 25, are especially vulnerable in areas like programming, accounting, and sales—jobs where generative AI tools like ChatGPT can perform many core tasks.

Economist Erik Brynjolfsson points out that AI models are trained on the same kind of knowledge early-career workers typically bring to the table—book-based, structured, and digitized. “There's a lot of overlap between LLMs and the knowledge young people have,” he says. In contrast, older employees often bring tacit, unwritten know-how and communication skills that AI hasn't yet replicated. That soft-skill edge seems to be insulating them from displacement.

The findings come from a deep dive into ADP payroll data covering 25 million U.S. workers. It paints a nuanced picture of AI’s impact: in some industries, AI is augmenting jobs—like nursing—while in others, it’s automating them outright. Brynjolfsson notes that this is a familiar cycle: tech destroys some jobs and creates new ones. The key is adaptation. For young professionals entering the workforce, the differentiator may be less about what they know, and more about how well they can work with the tools doing the knowing.

Takeaways at a Glance:

• 13% drop in entry-level jobs in AI-exposed fields since 2022

• Customer service and software engineering saw ~20% entry-level employment decline

• Older workers in same roles gained employment (up to 9%)

• Skills learned at universities increasingly overlap with AI capabilities

• ADP payroll data from 25M+ workers used for the study

• Augmentation (like in nursing) vs. automation (like in customer service) is a key distinction

• Early-career professionals most at risk if not adapting to AI tooling

• Entry-level AI salaries rose 12% YOY, signaling demand for AI-savvy talent

What We Think About It:

• This reinforces the growing pressure on early-career hires to integrate AI skills immediately. Soft skills and real-world pattern recognition are still a moat, but not forever. Organizations need to rethink how they onboard and train junior hires in an AI-first landscape.

What You Can Do Right Now:

• Look at the tasks you do every day. Which ones are repetitive and easy for AI to take on? Reframe them into AI-augmented workflows, so you can spend more time on judgment, creativity, and decision-making.

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AI in the wild

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