The Complex Role of AI in the Tech Industry
The increasing integration of artificial intelligence (AI) in the tech sector has sparked debate about its impact on employment and economic growth. While AI has the potential to automate various tasks, it also creates new opportunities for industries like semiconductor manufacturing.

Critics of AI, often misconstrued as Luddites, are not against technological progress but rather against the unchecked use of AI for tasks it’s not suited for. The term ‘Luddite’ historically refers to 19th-century English handicraftsmen who protested against textile machinery that displaced them. Today, it broadly encompasses those opposed to technological changes that come at significant social costs.
The tech industry is undergoing significant changes with AI at its core. Many supercomputer systems are being marketed with AI tags, regardless of their actual application. This marketing strategy is happening alongside layoffs in tech companies like Amazon, Google, Tesla, and Microsoft, with over 150,000 tech workers laid off in 2024. These companies are increasingly relying on AI to generate code, a practice referred to as ‘vibe coding.’ However, this approach is only effective if human developers review and correct the AI-generated code.
Micron’s Significant Investment in US Semiconductor Manufacturing
Micron Technology, Inc. (MU) is poised to benefit from the AI boom while creating jobs in the US tech sector. The company announced plans to invest approximately $200 billion in US semiconductor manufacturing and research and development (R&D). This investment includes $150 billion in domestic memory manufacturing and $50 billion in R&D, potentially creating an estimated 90,000 direct and indirect jobs.

The investment includes building a second memory fab in Boise, Idaho, and expanding its existing manufacturing facility in Manassas, Virginia. Micron will also bring advanced packaging capabilities to the US to enable long-term growth in high-bandwidth memory (HBM), which is crucial for the AI market. As AI systems become more powerful, they are bottlenecked by memory bandwidth, and HBM provides the necessary bandwidth to leverage these processors effectively.
The expansion plan includes two high-volume fabs in Idaho, up to four high-volume fabs in New York, and the modernization of its Virginia facility. The Idaho fab is expected to start DRAM output in 2027. This significant investment underscores the potential for AI to drive economic growth while creating new job opportunities in the tech sector.
Conclusion
The impact of AI on the tech industry is multifaceted, bringing about both challenges and opportunities. While it poses risks of job displacement, it also drives economic growth and creates new job opportunities in sectors like semiconductor manufacturing. Companies like Micron are at the forefront of this development, investing heavily in manufacturing and R&D. As the tech industry continues to evolve, it is crucial to balance the benefits of AI with the need to mitigate its negative impacts on employment.