Everyone probably has a different definition, and depending on your perspective, the answer can vary. For influencers who use new AI features as part of their content, even if it has little to no practical value in the industry, the entertainment value alone can make it worthwhile.
But for professionals who have been working for years and are actually applying AI in their jobs, these things are essentially just advertising. It’s not that they have no value—it’s just a different perspective.
To me, even though the IT industry evolves rapidly, the things that fundamentally don’t change are what truly hold value.
For example:
When traveling, is it more effective and meaningful to use translation app, or to speak directly with locals in their own language? Some people think AI means there's no need to learn languages anymore. But the real winners are those who continue to learn them anyway—now that the barriers and costs are lower.
Should we use AI to learn and improve work efficiency, or just dive into vibe coding, abandoning all the details—like information security—and risk lawsuits and other consequences?
Truly valuable things always take time to learn and apply. They need to be internalized and become part of you, enabling you to solve real-world problems—not just show short-term, surface-level results.
In other words, the essence of AI is to raise everyone’s baseline capabilities, reduce repetitive tasks, and free up our attention for areas that are more meaningful. But that doesn’t mean it can—or should—completely replace humans.
Rather than focusing solely on prompt engineering, we should prioritize communication and expression skills.
Rather than fully relying on AI, we should make good use of it.
Lately, I’ve been spending less time on social media to reduce meaningless anxiety. It's better to invest that time in exploring tools that are actually useful and learning how to use them effectively.
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