AI bubble is inevitable! Robin Li sounds the alarm: PMF is the key to survival.

October 3$6.6 billion funding$150 billion$3.7 billion in revenue$5 billion loss The more serious issue is that the actual application volume of most basic large models in China was relatively low at the time. Even adding up the usage volume of all over 200 large models could hardly match the single usage volume of some developed large models. Repeatedly developing these large models for entrepreneurship is undoubtedly futile, and from a societal perspective, it also means a huge waste in research, talent, and computing resources. Deflating the bubble will eventually accelerate the popularization of technology The trajectory of technological development is like a magnificent journey, from the birth of personal computers to the popularization of the internet, to the rise of mobile internet and short video, and now, artificial intelligence (AI) continues to move forward on this path. In the 1990s, the internet boom swept in, nurturing a group of internet giants like Baidu, Alibaba, and Tencent, which survived after the bubble burst. Although the bubble burst, these companies rose in the gaps, prioritizing commercialization, and successfully driving the rapid development of the consumer internet through product iterations meeting user needs.

Currently, AI technology is rapidly popularizing, with devices like smartphones, TVs, and computers all being labeled as AI. However, do these devices truly bring a new experience to users while upgrading their names? Many manufacturers cannot give a firm answer to this.

In 2024, embracing AI large models has become a trend across all industries worldwide. The technical potential shown by AI large models has been applied to varying degrees in industries, enterprises, products, and scenarios. However, how many companies have truly effectively utilized AI to enhance product market fit (PMF) or increase business value? The reality might not be as desired.

A chief analyst at market consulting firm Forrester once stated: "No one wants to appear in costume at a masquerade ball." This view vividly describes the mindset of many who claim to "embrace AI."

In the future, only when AI is no longer seen as a trend but becomes "ubiquitous yet unnoticed" like the internet and 5G networks, the true AI era will arrive.

Not long ago, former Google executive and AI authority Hinton won the Nobel Prize in Physics, while two scientists from Google DeepMind, Demis Hassabis and John Jumper, shared the Nobel Prize in Chemistry for "protein structure prediction." These achievements mark the accelerated penetration of AI into the physical world and imply a future where AI will eventually take over the physical world.

Even though the current AI development is full of hype, its future still warrants an optimistic attitude from humanity.