Goldman Sachs: AI Enterprise Adoption Rate Rises to 21.5%, Data Center Construction Jobs Increase by 290,000

According to TechFlow Research, Goldman Sachs' July AI Adoption Tracker Report shows that the U.S. corporate AI adoption rate rose to 21.5%, an increase of 0.9 percentage points from the previous month, and is expected to reach 24.3% in six months. The Gallup survey shows that 47% of U.S. employees stated that their organizations have adopted AI, higher than 41% in the previous quarter. Semiconductor revenue is expected to reach $834 billion by the end of 2026; AI-related hardware investment has surpassed 2022 levels, reaching $463 billion, accounting for 1.4% of GDP. Data center-related construction jobs have increased by 290,000 since 2022, with an average monthly increase of about 14,000. Layoffs caused by AI cumulatively reached 102,000 in the first half of the year. Goldman Sachs believes that AI is moving from the proof-of-concept stage to the actual deployment stage, economic penetration is accelerating, but the labor impact remains concentrated in specific industries. Academic research shows that AI boosts productivity by an average of about 23%, and industries with higher adoption rates have shown signs of accelerated productivity growth. Goldman Sachs' judgment is that AI is reshaping the economic structure, and the market may be underestimating the depth of AI's integration into the economic system. Goldman Sachs Research Report Analysis: Corporate AI adoption rate rose to 21.5%, data center construction jobs increased by 290,000.