
Rate Of Return<p>Bros, <span class="security-tag" type="security-tag" counter_id="ST/US/NVDA" name="NVIDIA Corporation" trend="0" language="en">$NVIDIA(NVDA.US)</span> is still falling so much today! <span class="security-tag" type="security-tag" counter_id="ST/US/TSLA" name="Tesla, Inc." trend="0" language="en">$Tesla(TSLA.US)</span> too, and <span class="security-tag" type="security-tag" counter_id="ST/US/AAPL" name="Apple Inc." trend="0" language="en">$Apple Inc.(AAPL.US)</span> is also stagnant. I get trapped every time I enter, losing money (currently). Coming to pick people up (sarcastic)?</p>

🚀🧠 Jensen Huang's judgment is actually redefining the "core competencies of the AI era."
If he were a student again today, Jensen Huang says he wouldn't prioritize "coding" as his top priority.
He would prioritize learning one thing: how to converse with AI.
This statement sounds counterintuitive at first, but placed within the real-world usage scenarios of AI, the logic is extremely clear.
Most people treat AI as an upgraded search engine:
Ask a question → Get an answer → End.
What Jensen sees is another level of capability, which he calls the "artistry of interaction"—the ability to treat AI as a tool that can be continuously guided, repeatedly refined, and constantly amplified.
The real gap has never been about "whether you can use AI."
It's about: Do you know what to ask it to do for you, and how to step-by-step approach a better outcome.
"Learning to interact with AI is essentially learning to ask better questions."
The weight of this statement lies in—
AI does not automatically create value; it only amplifies your existing cognitive structure.
If a doctor lacks solid medical judgment, what AI provides is just noise;
If a lawyer lacks a clear argumentative framework, AI is just piling up words;
The same goes for engineers, analysts, and managers.
The real leverage comes from a multiplication formula:
Domain expertise × AI interaction capability = Personal output amplifier
Without professional background, AI's output lacks direction;
Without interaction capability, AI's potential is severely wasted.
This is also why Jensen's statement is not essentially "negating coding," but emphasizing a higher-dimensional shift:
Value is migrating from "execution capability" to "command and judgment capability."
Under this framework, AI will not directly replace you.
But someone who knows better how to drive AI likely will.
And this is precisely the productivity restructuring truly worth long-term attention behind the current explosion of AI infrastructure, toolchains, and applications.
📬 I will continue to dissect the key inflection points as AI moves from "technological breakthrough" to "human capability amplifier," focusing on which companies and which capabilities are becoming the new watershed.
If you care more about long-term structural changes than short-term noise, welcome to subscribe.
#JensenHuang #NVIDIA #AI #ArtificialIntelligence #FutureOfWork #Productivity #TechnologyTrends

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