Only $21 for 20 hours of work! SemiAnalysis tested AI outsourcing: highest ROI nearly 94 times According to Beating monitoring, SemiAnalysis, a well-known semiconductor and AI industry research institution, has released its analyst team's AI outsourcing test data. The team continuously tracked 9 real workflows covering company research, financial report delivery, meeting minutes mining, and financial data extraction, and demonstrated the authenticity and structural nature of AI returns through a hardcore comparison of token consumption and labor costs. Actual tests have shown that the return on investment (ROI) of all tasks exceeds 10 times, with most concentrated between 60 and 90 times. One of the company's research tasks only cost $21.33 tokens to replace 20 hours of manual labor, with an ROI as high as 93.8 times. In order to demonstrate the specific benefits of AI tools in practical business, SemiAnalysis has disclosed measured data from multiple representative tasks: • A deep company study on Hewlett Packard Enterprise (HPE) revealed that the token cost is only $21.33, which can replace $2000 worth of labor (taking 20 hours), with an ROI of 93.8 times. Financial data retrieval and Excel email sending, with a token cost of only $1.87, can replace $150 worth of manual labor (taking 3 hours), with a ROI of 80.2 times. For the financial report delivery of Marvel, the token cost is only $2.82, which can replace $200 worth of labor (taking 4 hours), with a ROI of 70.9 times. Building a Slack bot based on token economics reveals a token cost of $58.02, which can replace $1000 worth of manual labor (taking 20 hours) with a ROI of 17.2 times. In addition to internal testing, SemiAnalysis also confirmed the rapid expansion of the entire industry being penetrated by AI through explosive data from external AI programming tools. The organization tracks the GitHub commits of the AI programming agent Claude Code on a daily basis, and data shows that by February 2026, the tool's daily commit volume had exceeded 134000, accounting for about 4.0% of GitHub's total public commit volume, achieving an explosive growth of 42896 times in 13 months. Its latest internal tracking data shows that this growth curve is still continuing to climb upwards. SemiAnalysis believes that once experienced the efficiency leap of compressing 20 hours of tedious tasks into $21 token consumption, analysts' workflows will find it difficult to return to the manual era. However, with compliance and IT restrictions preventing large-scale integration by large institutions such as banks, the true explosion of AI in the enterprise market has just begun. [Original link]