AI guitar queues burst the general-purpose AI bubble

The longest queue at WAIC wasn't at the large model booths or the robot zone, but at an AI guitar capable of impromptu jamming.

This resembles the scene at CES back in the day where game console booths were livelier than enterprise server booths. People always vote with their feet, and this vote went to things that are "fun to play."

A detail worth noting: The selling point of the AI guitar isn't "generating any melody," but "impromptu jamming." It didn't try to replace musicians, but played the role of a partner who understands your rhythm and joins in with variations at the right time.

Behind this is a silent rebuttal to the AI narrative of the past two years. The hype around general-purpose large models is fading; users have discovered that "omnipotence" often means "master of none." The AI guitar goes the opposite way—it does only one thing, but does it well enough that people are willing to queue for half an hour.

From an industrial perspective, this marks a shift in the focus of AI implementation from "breadth of capability" to "depth of interaction." The value of general AI lies in replacing repetitive labor, while the value of vertical AI lies in creating unique experiences. The latter is harder to replicate and easier to form a moat.

The queueing landscape at WAIC is actually a metaphor: While the industry is still arguing about parameter scale, users have already given the answer through behavior—they don't need more powerful AI, they need AI that understands them better.

The AI guitar is a signal. Next, we will see more "narrow and deep" AI products emerge. Music, painting, writing—each niche scenario might produce a queue-worthy hit. General large models become infrastructure, while true innovation happens at the scenario layer.

Let's wrap it up here.

Original link: https://www.tmtpost.com/8078706.html