The most valuable and enduring professional skill is storytelling—the ability to take data, craft a compelling narrative, and persuade people to act. This competency underpins sales, fundraising, and leadership. The foundational skill for great storytelling is strong writing, making it a critical area of study regardless of major.
Many corporate layoffs attributed to AI are actually a result of managerial mistakes like overhiring post-COVID. CEOs find it more favorable to their stock price and reputation to frame cuts as a forward-thinking embrace of AI efficiency rather than admitting to poor demand forecasting or strategic errors.
With AI handling more coding tasks, the enduring value of a CS degree is not the ability to write code but the training to solve complex problems and structure systems. Steve Jobs even referred to computer science as a modern liberal art, emphasizing its foundational, problem-solving nature over its vocational output.
True productivity gains from AI will mirror the adoption of electricity. Early factories that just replaced steam engines with electric motors saw little benefit. The revolution happened when they completely redesigned the factory floor around the new technology. Similarly, companies must reimagine entire workflows around human-AI collaboration.
Instead of worrying about your job title becoming obsolete, categorize your daily tasks into three buckets: what AI can do, what you do *with* AI to up-level your work, and collaborative tasks with people. If you're heavy in the first bucket, it's a signal to actively shift your focus toward the other two.
The current panic over AI stems from a limited view of human capability, a byproduct of an Industrial Age that prized machine-like efficiency. As AI automates those tasks, we are being forced to rediscover core human skills like imagination, creativity, and collaboration that have driven progress for millennia, thus underestimating our own adaptability.