According to Dynamica Beating monitoring, the well-known semiconductor and AI industry research firm SemiAnalysis has publicly released its analyst team's AI outsourcing benchmark data. The team has been continuously tracking 9 real-world workflows covering company research, earnings call transcriptions, meeting notes mining, and financial data extraction. By hardcore comparing Token consumption with labor cost, they have proven that AI returns are genuine and structural. The benchmarks show that the return on investment (ROI) for all tasks exceeds 10x, with most falling between 60x and 90x. One company research task, for example, only cost $21.33 in Tokens to replace 20 hours of manual work, achieving an ROI of 93.8x.
To demonstrate the specific benefits of AI tools in real-world business operations, SemiAnalysis has disclosed benchmark data for several representative tasks:
• In-depth company research for Hewlett Packard Enterprise (HPE): Token cost of only $21.33 replaced $2000 worth of manual work (20 hours), achieving an ROI of 93.8x.
• Financial data extraction and Excel email sending: Token cost of only $1.87 replaced $150 worth of manual work (3 hours), achieving an ROI of 80.2x.
• Earnings call transcriptions for Marvell: Token cost of only $2.82 replaced $200 worth of manual work (4 hours), achieving an ROI of 70.9x.
• Building a tokenomics disclosure Slack bot: Token cost of $58.02 replaced $1000 worth of manual work (20 hours), achieving an ROI of 17.2x.
In addition to internal benchmarks, SemiAnalysis has also used explosive data from external AI programming tools to confirm the rapid expansion of AI penetration across the entire industry. The organization tracks the GitHub commits of the AI programming intelligence agent Claude Code on a daily basis. Data shows that in February 2026, the tool's daily commit volume exceeded 134,000, accounting for approximately 4.0% of the total public GitHub commits and achieving a 42,896x explosive growth in just 13 months. The latest internal tracking data indicates that this growth curve is still on the rise.
SemiAnalysis believes that once analysts have experienced the efficiency leap of compressing a tedious 20-hour task into $21 worth of Tokens, it will be difficult for them to revert to the manual era. However, with compliance and IT restrictions preventing widespread adoption by banks and other large institutions, the true explosion of AI in the enterprise market has only just begun.
