The article argues that the narrative around AI is overly polarized, with some claiming it will cause mass unemployment while others dismiss it as ineffective. The author presents a middle ground, suggesting that large language models (LLMs) are tools that enhance productivity without fundamentally disrupting employment. They draw a parallel to historical shifts in programming languages, where each new abstraction layer increased efficiency but did not reduce the number of programmers. Instead of fearing job loss, the focus should be on how LLMs can allow existing workers to produce more, similar to past technological advancements. The author highlights the distinction between well-specified and ambiguous work. LLMs excel at tasks with clear inputs and outputs, like processing forms or translating documents. However, they struggle with tasks requiring nuanced understanding and judgment, such as strategic planning or complex negotiations. Despite widespread deployment of LLMs over the past three years, there hasn’t been a collapse in employment in these ambiguous areas. Instead, productivity tools have helped existing workers do more, without replacing them. The piece critiques the pessimistic view that AI will broadly displace workers while keeping sectors like healthcare and education expensive due to their labor-intensive nature. The author contends that if labor costs drop across the economy, these sectors should also feel the impact. They argue that AI's role is more about enhancing specific work categories rather than causing an all-encompassing economic transformation. Historical patterns show that technological advancements lead to labor market reallocations, with displaced workers finding new roles in sectors that still need human input, like care work or skilled trades. Lastly, the article addresses the misconception that income directly equates to living standards. It encourages a broader perspective: improvements in access to resources and technology can enhance quality of life, even if income levels fluctuate. The current technological landscape offers unprecedented access to information and communication tools, suggesting that living standards can rise even if traditional income metrics change.