This article, "No One is Really Working," explores the apparent discrepancy between the high compensation of early-career professionals in prestigious fields and their actual work output. Using archetypes of a software engineer, a marketing writer, and a strategy consultant, the author argues that many young professionals perform minimal "deep work," instead spending their time on low-effort tasks, social media, or leveraging AI tools. The piece then analyzes several potential economic and social justifications for these high salaries, including the need to mitigate downside risk (paying a premium for reliable employees), attract rare "breakthrough" innovators, prevent talent from starting competitor companies, and perpetuate systemic status or wealth redistribution schemes. The article concludes by questioning which of these justifications will remain durable in the age of AI.
Summary of "No One is Really Working"
The Modern Professional Archetype: The article introduces three fictional young professionals to illustrate its premise:
Adam (Software Engineer): Competent but unmotivated, he performs 0-10 hours of "deep work" weekly. The rest of his time is spent on "mindless coding," meetings with his camera off, and browsing TikTok. He implicitly learned not to work too hard from his manager.
Brenda (Marketing Writer): Her primary value is being "in tune with Gen Z culture" to advise older clients. She works a hybrid schedule and spends significant time in group chats.
Carl (Strategy Consultant): He relies heavily on AI tools like ChatGPT and Claude to produce his work, often transcribing outputs from his personal devices to his work laptop. His main skill is navigating corporate jargon.
The Compensation Paradox: Despite their seemingly low productivity, these archetypes, representing the top ~5% of professionals, command salaries from $100,000 to $300,000. The author questions why this is the case, suggesting their work output does not match their pay in an efficient market.
Theory 1: Paying for Insurance & Breakthroughs: Firms may offer high salaries for two key reasons:
Downside Risk Mitigation: Paying a premium for "better" employees who are less likely to make catastrophic, value-destroying mistakes. This is presented as a form of insurance.
Breakthrough Potential: Paying everyone an inflated salary to attract and retain a single innovator whose one idea could be immensely profitable for the firm.
Theory 2: Preventing Competition: Companies pay high wages to dissuade talented individuals from leaving to start their own competing businesses. By offering a high, stable salary, firms exploit individuals' natural risk aversion.
Theory 3: Systemic & Social Factors: The article explores several macro-level explanations, such as:
Society incentivizes people to join the elite labor force to sort for the next generation of leaders.
Firms and other institutions are complicit in a "status subsidy scheme" to justify the high cost of elite education.
High salaries are a form of "unevenly distributed UBI" that serves as an intergenerational wealth transfer, keeping young elites politically and socially compliant.
The AI Question: The article concludes by posing an open question to the reader: Which of these rationales for high salaries will remain durable as AI becomes capable of performing many of the tasks these professionals are paid for?
Summary of Hacker News Discussion
The Hacker News discussion was largely critical and skeptical of the article's premise.
Lack of Evidence: Commenters repeatedly pointed out that the article's argument is based entirely on "fictional anecdotes" and "manufactured examples," which can be dismissed as easily as they are asserted.
Misunderstanding "Work": Several users challenged the author's narrow definition of work, arguing that tasks described as "mindless coding," participating in meetings, and other routine duties are essential, productive parts of a professional job.
Experience is Not Universal: Many commenters, particularly those in startups, shared that their work lives are characterized by extremely long hours and high stress, directly contradicting the article's archetypes. This suggests the phenomenon described, if real, is likely confined to large, established corporations.
Alternative Explanations: Users offered their own reasons for high salaries in large firms, such as the need to maintain a stable workforce for rare high-load periods or managers hiring to increase their headcount as a measure of power.
Overall Dismissal: The general sentiment was that the essay was "naive," "laughably stupid," or simply "making up a guy to get mad at." A product design director noted that their teams, responsible for hundreds of millions in revenue, are "working all the time."