Because tech designers are disproportionately white, male, and highly educated, they create products for a 'typical user' who resembles them. This baked-in bias means digital platforms and tools inherently serve some children better than others, amplifying existing societal inequities.

Banning AI tools in public schools while they are embraced in private schools and other districts creates a severe educational disadvantage. This policy could lead to a 'flippening' where certain states accelerate, entrenching a new form of socio-economic segregation based on access to AI-powered learning.

The real danger of AI for young people is not just academic cheating but outsourcing the cognitive struggle necessary for developing critical thinking and personal identity. Constant reliance on AI for answers may lead to a "lobotomized" generation unable to form its own worldview.

A growing anti-AI sentiment among college students, evidenced by boos at commencement speeches, is creating a critical problem. While students fear AI's impact, companies will not hire graduates who are resistant to using it, potentially making an entire generation of graduates unemployable.

Meta has physically and organizationally separated its new, high-paid AI researchers in 'TBD Labs' from its existing AI teams. By issuing separate access badges, Meta has created an internal caste system that prevents collaboration and is likely to cause significant morale problems and knowledge silos within its most critical division.

AI's public image is rapidly deteriorating, particularly among college-aged individuals. Incidents like graduates booing any mention of AI and polls showing opposition to data centers signal a serious perception problem. This negative sentiment, formed at a young age, could prove difficult to reverse.

The concept of independent AI evaluators seems positive but harbors a hidden risk. If these evaluators all come from the same social and ideological circles, the system becomes merely "distributed," not truly "decentralized." This can lead to a single cultural unit subtly controlling a critical industry under the guise of safety.

AI experts like Eric Schmidt and Henry Kissinger predict AI will split society into two tiers: a small elite who develops AI and a large class that becomes dependent on it for decisions. This reliance will lead to "cognitive diminishment," where critical thinking skills atrophy, much like losing mental math abilities by overusing a calculator.

Beyond sensational failures like inappropriate content, the more insidious risk of AI companions is their core design. An endlessly accommodating chatbot that never challenges a child could stunt the development of crucial social skills like negotiation, compromise, and resilience, which are learned through friction with other humans.