Some big companies like Microsoft, Google, and Facebook are spending a lot of money to make their computers better at thinking and learning. This is called artificial intelligence or AI. They need special parts and places called data centers to help them do this. These companies are not planning to stop spending because they think it's very important for the future. Read from source...

1. The article is titled in a misleading manner by implying that AI investments are only ramping up recently when the industry has been increasing its spending on AI for years. This creates a false sense of urgency and hype around the topic without acknowledging the historical context.
2. The article uses terms like "AI chatbots" and "AI plumbing" which are simplistic and inaccurate descriptions of the complex nature of AI applications and infrastructure. These terms devalue the sophistication and diversity of AI technologies and use cases, creating a false dichotomy between AI chatbots (which are still important) and other AI aspects.
3. The article focuses on the spending numbers without providing enough context or analysis of how these investments are impacting the industry, the environment, society, or ethics. For example, it does not mention the carbon footprint of building new data centers, the ethical implications of AI development, or the potential risks and challenges associated with AI infrastructure.
4. The article relies heavily on quotations from company executives and analysts, which are often biased and self-serving sources of information. These quotes do not provide a balanced or critical perspective on the issue, and they may be influenced by financial interests or corporate agendas.
5. The article does not adequately address the potential consequences or trade-offs of this massive AI infrastructure spending, such as resource allocation, competition, monopoly, innovation stif