On July 6, Goldman Sachs stated in its latest report that the focus of artificial intelligence (AI) investment has begun to extend into the broader real economy. As computing power, electricity, and data centers continue to be rapidly developed, AI has simultaneously entered practical scenarios in manufacturing, energy, logistics, defense, life sciences, and robotics. From 2026 to 2031, global AI capital expenditure related to computing, data centers, and electricity is expected to reach approximately $7.6 trillion, with annual investments increasing from $765 billion in 2026 to $1.64 trillion in 2031. Investments in AI by hyperscale cloud providers may exceed $6 trillion by 2030. The key to future competition will not only be models or chips, but also capital structure, energy supply, industrial data, engineering capabilities, and deployment capabilities.