Garrett Lord: 24-Year-Olds Adopt AI at a Speed Far Exceeding 55-Year-Olds
Garrett Lord stated on platform X that in fields such as coding and law, under the transformation of work by AI, 24-year-olds adopt AI at a speed far exceeding that of 55-year-olds.
New graduates have achieved a tenfold increase in efficiency and are teaching senior employees how to work. Cloudflare is supporting 1,111 interns through Handshake, and @eastdakota is taking counterintuitive but correct actions.
In market mechanisms, corporate employers are accelerating the recruitment of AI-native young talent, shifting funds from traditional senior position training to youth internships and rapid iteration teams. Young workers with strong adaptability to AI benefit, while older employees, who are slow to adapt, are under pressure.
Source: Public Information
ABAB AI Insight
Garrett Lord, as an investor and observer, has long focused on the impact of AI on the labor market, previously sharing the adaptive advantages of the younger generation in the wave of emerging technologies, consistent with practices by companies like Cloudflare to expand the supply of AI talent through internship programs.
In terms of capital pathways, Cloudflare mobilizes resources to support 1,111 interns through the Handshake platform, precisely allocating budget to the rapidly iterating young demographic with AI skills, motivated by building a talent reserve for future tech stacks and reducing the overall organizational learning curve, while continuing to invest in early education pipelines to maintain engineering competitiveness.
Similar cases include young developers quickly mastering web technologies during the internet wave of the 1990s and guiding enterprises in reverse, as well as the recent penetration of AI tools in legal and programming fields, with new graduates leading adoption across multiple domains. The current labor market is in a phase of accelerated generational transfer of AI skills.
Essentially, this is a form of technological substitution: AI accelerates generational productivity differentiation by lowering learning barriers, concentrating capital from experienced older labor to AI-native young talent, and restructuring corporate talent acquisition and knowledge transmission structures.
ABAB News · Cognitive Law
AI is not something that older people cannot learn; rather, young people are the ones who first grasp the 10x leverage.
Interns are not a cost but a capital accelerator that flattens the generational learning curve.
The longer the experience, the slower the transformation; in the AI era, pricing power is always given first to those who learn the fastest.