Summary of the Key Points
In his speech at Carnegie Mellon University's graduation ceremony, Steve Jobs made a counterintuitive statement: The AI era is not a独角olor show for programmers; it belongs to blue-collar skilled workers such as electricians, plumbers, and construction workers. The reasoning behind this is that the “frontend” of AI (large models, intelligent agents, etc.) relies on a robust “backend” (data centers, power supply, cooling systems, and other physical infrastructure) to function effectively. However, there is a significant shortage of skilled workers in these areas, which represents the real opportunities of the AI era.
Detailed Analysis
1. Focus on the Backend: It’s the Real Opportunity
Most people think of AI as the “frontend” – large models that can converse, robots that can perform tasks, and digital avatars that are impressive to watch. But Jobs pointed out the importance of the “backend”: to make AI work, we need to build data centers (buildings housing thousands of servers), ensure a stable power supply, implement cooling systems, and have people to install and maintain these facilities. Just like at a concert, everyone focuses on the performers on stage, but experts ask, “Who built the stage? Who adjusted the lighting and sound?” No matter how impressive the frontend of AI is, it’s all worthless without the necessary backend support. The demand for these backend services creates opportunities for blue-collar workers.
2. The Smarter AI, the More Physical Construction Needed
In the past, technological revolutions were often about making things “lighter” (e.g., mobile internet allowing us to shop online). However, AI is doing the opposite; it’s making the world more “physical.” For example, training a large model requires massive computing power from data centers. Experts predict that by 2030, global investment in AI infrastructure alone could reach nearly $7 trillion. This money will be invested in physical assets such as factories, server racks, and electrical infrastructure. In other words, the more “virtual” AI becomes, the more tangible labor and technical skills are needed.
3. The Challenge of Building AI: Not Chips, but Skilled Workers
Many believe that the bottleneck in AI development is chip production. But the real issue is: even with chips, who will install them in servers, maintain the cooling systems, and lay out the high-voltage cables? Data shows a surge in demand for skilled workers over the past three years – 27% increase in construction jobs, 30% in welding, nearly 20% in electrical work, and a doubling of demand for robotics technicians. Training these workers takes time; the shortage will take several years to address. Jobs’ statement “This is your era” is not just motivational talk; there’s indeed a severe shortage of skilled labor.
4. Lessons for Entrepreneurs
Many entrepreneurs ask about which AI technologies to use when discussing AI. But the more critical question is: what are the real bottlenecks in your industry once AI is integrated? Jobs posed three essential questions:
- Is your core competence in the frontend or the backend? Do you rely on concepts and traffic, or do you have the ability to implement solutions (e.g., building data centers, maintaining equipment)?
- Which skills will become more valuable with AI? Will tasks be automated, or will certain skills remain essential (e.g., on-site management, specialized technical expertise)?
- Are you chasing trends or building sustainable capabilities? Do you shift with the latest technologies, or do you focus on developing practical skills to handle complex issues?
5. The Real Benefits of the Era Lie in the Invisible Foundation
Every era has its buzzwords (mobile internet, e-commerce, short videos, AI), but the benefits lie in the underlying infrastructure that makes them possible:
- Mobile internet relies on smartphones, 4G technology, and logistics.
- E-commerce depends on warehousing, delivery services, and supply chains.
- AI requires chips, data centers, power supply, and skilled workers to implement it.
Jobs’s insight lies in recognizing the importance of the “foundation” that supports these technologies. For ordinary people, this means considering learning a skilled trade might be more profitable. For entrepreneurs, it means focusing on building sustainable capabilities rather than chasing fleeting trends.
In Conclusion
The opportunities of the AI era lie not in the flashy demonstrations on screens but in the physical infrastructure and skilled workers who make AI practical. By recognizing the underlying foundations, we can seize the real benefits of this technological revolution.