#AICrashOrComeback ### Analysis of the Depreciation of AI Technology and Its Potential to Appreciate 100 Times in the Future

#### 1. **Phenomenon of AI Depreciation**

- **Decline in Hype**: Recently, AI has been going through a "de-hype" phase as investors and businesses begin to doubt the profitability of this technology. The stock prices of leading technology companies like Nvidia, Microsoft, and Apple have dropped about 10% since the peak in 2024, reflecting market caution.

- **ROI Challenges**: Many businesses are questioning the return on investment (ROI) from AI. Only 5.1% of American companies are using AI to produce goods and services, down from 5.4% at the beginning of 2024. This indicates a slowdown in the adoption of AI in practice.

- **Overhyped Expectations**: Some AI projects have not delivered the expected results, leading to a feeling that the "AI bubble" is bursting. This is a natural phenomenon in the technology development cycle, similar to the early stages of the Internet.

#### 2. **Causes of Depreciation**

- **High Costs and Unclear Effectiveness**: Companies have invested billions of USD in AI but have not seen commensurate profits. For example, the cost of optimizing AI technology to handle simple tasks can be up to 6 times higher than traditional methods.

- **Lack of Breakthrough Applications**: Currently, AI is mainly used to improve work efficiency (such as coding, translation) rather than creating world-changing applications.

Just like how the market reacted to $BTC