AI-induced unemployment is on the rise

Dear Readers,

The debate surrounding AI often revolves around groundbreaking models, but today we are focusing on the people who are most affected by change: young professionals. A new study from Stanford shows that it is precisely where AI excels—in standardized, knowledge-intensive activities—that opportunities are dwindling for many 22- to 25-year-olds. While algorithms effortlessly write code or answer queries, professions that require experience, empathy, and social sensitivity remain stable. This raises a key question: How do we shape a future in which an entire generation is not left behind?

In this issue, we take a closer look at the findings and ask what strategies politicians, businesses, and educators need to pursue. Also: exciting insights into new research on creatine as an immune booster against tumors, a protein that accelerates brain aging—and how it can be slowed down—as well as a study linking repeated heat waves to accelerated aging. Plus, the most important news from the world of AI, a look at market trends, and an inspiring quote to ponder. Stay tuned—it's worth it.

In Today’s Issue:

All the best,

A new study by the Stanford Digital Economy Lab shows significant shifts in the labor market due to generative AI. Based on millions of payroll data points from ADP (through July 2025), it is evident that young professionals between the ages of 22 and 25 in AI-intensive occupations—such as software development or customer service—have experienced job losses of 6 to 13 percent since the end of 2022.

In contrast, jobs that are less exposed to AI or rely more on experiential knowledge – such as nursing assistants – remain stable or are even growing. The mechanism: AI primarily replaces standardized “book knowledge,” while experiential knowledge and social skills are more resilient. It is noteworthy that wages remain largely constant. Companies are not responding with salary cuts, but with more cautious hiring, which is reducing entry opportunities for young professionals.

For the AI community, the study provides clear empirical evidence that technological upheavals affect labor market segments unevenly. The key challenge is to design educational pathways, continuing education, and policy frameworks in such a way that career starters are not permanently excluded.

Why it matters: Young professionals face shrinking footholds in AI-exposed fields as automation edges out entry-level roles. Recognizing this gap is vital to adapt education, hiring, and policy to secure the next generation’s place in the AI economy.

Sources:

🔗 https://digitaleconomy.stanford.edu/wp-content/uploads/2025/08/Canaries_BrynjolfssonChandarChen.pdf

🔗 https://www.sfgate.com/tech/article/ai-young-workers-stanford-research-21018323.php?utm_source=chatgpt.com

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OpenAI generates by far the most revenue, followed by Anthropic. So far, the other AI companies are nowhere near their league.

In mice, oral creatine supplementation significantly reduced the growth of B16-F10 melanomas. Intratumoral macrophages transformed into pro-inflammatory M1 types and presented antigens more effectively. This fueled tumor-specific CD8 T cells. The ATP upgrade was achieved via the phosphocreatine system through extracellular creatine uptake—not via glycolysis or mitochondria. Blocking the creatine transporter (CrT) eliminates the effect. Relevance: Creatine—a simple nutrient—could specifically rejuvenate immune responses and improve cancer fighting.

UCSF researchers identify ferritin light chain FTL1 as a pro-aging factor in the hippocampus: overexpression caused synapses to atrophy and memory to decline in mice; blockade or counteraction with a metabolic booster restored youthful function. What is new is the specific molecular lever for reversing cognitive aging—a potential target for drugs against

A Nature analysis shows that repeated heat waves measurably accelerate biological aging—to an extent comparable to smoking or alcohol consumption. What is new is the long-term cohort evidence that directly links climate exposure to signs of aging. Relevance: Heat protection is becoming a longevity strategy at the population level. Implication: Urban planning, cooling, and labor law as health prevention measures.

Working at the intersection of AI and human longevity? We’re inviting researchers and innovators to submit their work to be featured in Superintelligence, the leading AI newsletter with 200k+ readers.

Whether you’re using AI to extend lifespan, improve healthspan, or accelerate biomedical breakthroughs, email your arXiv.org link or a summary to [email protected] with the subject line “Longevity Submission”. If selected, we’ll contact you for a potential feature.

Using RL, AirSpot was trained to the point where it can now perform almost artistic movements.