Author: Lincoln Wang | Founder of MindsLeap | Global Partner at Founders Space | Founder of Founders AI Club
This article was adapted by Lincoln from the MindsLeap AI Insights short video "Andrew Ng: Humans Still Have a Massive Context Advantage Over AI", published on September 4, 2026.
Andrew Ng recently described an idea worth taking seriously: Context Advantage. AI can process text at scale, transcribe audio, organize information, and even make an initial cut of a video. But the hardest part of many jobs is not the volume of information. It is judging the situation, relationships, and subtle signals around it.
There is more than the transcript
Consider a user interview. AI can turn a recording into text and analyze what a participant said. But if someone says, “The product is pretty good,” are they genuinely satisfied?
The answer may depend on their pause, expression, tone, the room, and everything said before and after. Much of that may not appear clearly in a transcript, yet it shapes a product manager's judgment. That is why strong product judgment may remain scarce: it is not only about collecting information, but understanding the context in which information appears.
AI can edit video, but may not find the rhythm
The same issue appears in short-video editing. AI can extract audio, transcribe speech, recognize filler words, and remove obvious mistakes. It is remarkably efficient. Yet the resulting cut can still feel unnatural because the breathing rhythm of a sentence is off.
That rhythm carries intention and emotion. A person can feel that a phrase has not quite landed or needs a little room. AI may not know why unless that standard is made explicit.
The human role is to turn context into something AI can use
Context Advantage is not an argument against AI. It is a practical division of labor: humans perceive and judge first, then make the missing background, quality bar, and feedback explicit for AI.
When building a Skill or a workflow, AI can often understand the broad direction. The fine details that determine whether an output is actually good require people to explain what matters, why it matters, and where exceptions apply. With that context, AI can become increasingly useful in real work.
This article is Lincoln Wang's reflection on Andrew Ng's Context Advantage idea and related production practice.
About MindsLeap
MindsLeap is an AI-native organizational transformation accelerator for entrepreneurs and companies. We help teams move from AI experimentation to real business outcomes through AI strategy diagnostics, founder second brains, digital employees, and FDE delivery.
This article was translated and adapted from the Chinese original with AI assistance.