$FET According to multiple media reports, the four major U.S. tech giants (Microsoft, Amazon, Google parent company Alphabet, Meta) plan to invest a total of **$320 billion** in 2025 for artificial intelligence (AI) technology and infrastructure construction, a significant increase from **$230 billion** in 2024. This decision reflects their firm confidence in the long-term strategy in the AI field, despite challenges from emerging competitors like the Chinese startup DeepSeek.

### 1. **Investment Scale and Growth**

- **Total Expenditure in 2024**: The four companies have planned capital expenditures of $230 billion in 2024, primarily for AI infrastructure and data center construction.

- **2025 Goal**: Total investment in 2025 will increase to **$320 billion**, a nearly 40% year-on-year growth, indicating high expectations for the commercialization of AI technology.

### 2. **Specific Investment Plans of Each Company**

- **Amazon**: Plans to invest **$100 billion**, the highest among the four giants. The funds will be focused on AI development and infrastructure for Amazon Web Services (AWS), with CEO Andy Jassy stating that AI is the “biggest business opportunity since the internet.”

- **Microsoft**: Plans to invest **$80 billion** in fiscal year 2025, with more than half allocated for AI data center construction in the U.S., aiming to promote deep integration of AI technology and cloud services.

- **Google (Alphabet)**: Capital expenditures will increase from **$52.5 billion** in 2024 to **$75 billion**, primarily for AI servers and data centers to support its large model Gemini and cloud business growth.

- **Meta**: Plans to invest **$60 to $65 billion**, focusing on generative AI and open-source models (like the Llama series). CEO Mark Zuckerberg believes that 2025 will be a “decisive year for AI,” and large-scale investments will solidify technological leadership.

### 3. **Responding to DeepSeek's Challenges**

- **Technological Impact**: DeepSeek claims that its AI model performance is comparable to OpenAI, but at a fraction of the cost, raising market doubts about the traditional data center investment model.

- **Response from Giants**:

- **Cost Effectiveness**: Microsoft CEO Satya Nadella pointed out that improving AI hardware and model efficiency is a trend, and cost reductions will promote more enterprises to adopt AI technology.

- **Cloud Computing Demand**: Amazon believes that the reduction in AI inference costs will stimulate enterprises' demand for cloud services rather than weaken its business.

- **Open Source Collaboration**: Meta actively appreciates DeepSeek's innovations and plans to integrate some of the results into its own open-source projects to accelerate technological iteration.

### 4. **Strategic Motives Behind Investment**

- **Consolidating Market Position**: Ensuring a leading edge in AI infrastructure (such as data centers and chip clusters) through massive investments to tackle industry competition.

- **Promoting Application Scenarios**: The popularity of tools for AI painting, writing, and video generation is reshaping business models in content creation, advertising, cloud computing, and more.

- **Policy and Global Layout**: The U.S. government is focusing on the economic driving role of AI, while multinational cooperation projects (like OpenAI's partnership with SoftBank on the 'Interstellar Gateway' project) further expand investment scale.

### 5. **Wall Street's Concerns and Exceptions**

- **Uncertainty of Returns**: Investors are concerned that high expenditures may erode profits, especially if AI revenue growth falls short of expectations. For example, the slowdown in Google Cloud's growth previously triggered a drop in stock prices.

- **Meta's Exception**: Due to AI significantly enhancing the precision of advertising, Meta's stock price surged against the trend after its earnings report, making it the only company among the four giants to receive positive market feedback.

### 6. **Future Impact and Industry Trends**

- **Technology Diffusion**: The rise of low-cost AI models may accelerate technology proliferation, but the giants still control core infrastructure, forming a pattern of 'coexistence of technological democratization and monopoly.'

- **Ethics and Risks**: Issues such as data privacy, employment impacts, and ethical concerns (like misinformation) need to be addressed collaboratively by policy and industry.

### Summary

Despite the short-term shocks brought by emerging companies like DeepSeek, U.S. tech giants continue to fortify their moats in the AI field through massive investments. This 'capital competition' is not only about technological advantages but also a struggle for future economic dominance. As AI application scenarios expand, its impact on social productivity and the global competitive landscape will become increasingly profound.