The dawn of the Artificial Intelligence (AI) era brings not only a technological revolution but also a radical reassessment of human value in the labor market. As generative AI tools take over coding, copywriting, and data analysis, the question haunting millions of workers and students is: "What is left for us?" According to Yat Siu, co-founder and chairman of Animoca Brands, the answer lies not in a new technical skill, but in a primal human quality: curiosity.
Speaking recently to CNBC, Siu argued that the ability to ask the right questions and constantly seek knowledge will be the most sought-after trait in candidates. In the past, specialization was the path to success. Today, specialization is at risk of being automated. What cannot be replaced—at least for now—is the internal human drive to understand the "why" behind the data.
The Shift from "How" to "Why"
For decades, our educational systems and corporate structures rewarded execution. Employees were hired for the "how"—how to build a website, how to balance a budget, how to draft a legal document. AI has now become exceptionally proficient at the "how." It can produce results in seconds that previously required days of labor.
Consequently, value is shifting toward the "why" and the "what." Siu points out that curiosity is the engine that drives the effective use of AI. A curious worker does not view ChatGPT or Claude as a threat, but as a partner requiring guidance. The ability to formulate queries (prompt engineering) is actually an exercise in critical thinking and curiosity. If you don't wonder about the limits of the possible, you will never be able to extract from AI the innovative solution that makes a difference.
Curiosity as a Strategic Advantage
In the business environment of Animoca Brands, which stands at the cutting edge of Web3 and gaming, the need for adaptability is a daily reality. Siu emphasizes that individuals with a high "Curiosity Quotient" (CQ) tend to learn faster and integrate new technologies without the fear of obsolescence. In fact, curiosity acts as a form of "immunity" against technological unemployment.
This has profound implications for hiring. HR managers are beginning to look for signs of curiosity in resumes: volunteer projects, engagement in diverse industries, and most importantly, a candidate's ability to describe how they solved a problem by seeking unconventional information. Curiosity leads to polymathy, and in the AI era, the "polymath generalist" gains an advantage over the "narrow specialist."
The Revolutionary Nature of Learning
Yat Siu is not alone in this view. Many labor market analysts agree that "learning how to learn" is the ultimate meta-skill. However, curiosity goes a step further. It is the emotional and intellectual state that makes learning a pleasure rather than a chore.
- Critical Thinking: Curiosity forces us to question the answers provided by AI, avoiding the "hallucinations" of the models.
- Creativity: Connecting seemingly unrelated ideas—something curiosity fuels—remains the bastion of human creation.
- Empathy: Curiosity about the "other" leads to better collaboration and leadership, areas where AI lags dramatically.
Conclusion: The Return to the Human
In conclusion, Yat Siu's prediction is optimistic. Despite fears that AI will render us redundant, the reality may be the opposite: technology is freeing us from repetitive tasks to allow us to become curious explorers once again. The job market of the future will not belong to those who know all the answers, but to those who never stop asking questions. Curiosity is no longer just a hobby; it is the most valuable hard skill one can cultivate.
