Salesforce to Invest $300 Million in AI Coding with Anthropic Tokens
AI, not engineers for coding: Salesforce to spend $300 million on Anthropic tokens, CEO Marc Benioff says

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Salesforce CEO Marc Benioff announced plans to spend $300 million on Anthropic tokens this year, primarily for AI-driven coding. This decision reflects a shift towards automation in software development, as Salesforce aims to reduce engineering costs and enhance productivity through AI technologies.
- 01Salesforce's investment in Anthropic tokens will significantly reduce development costs, according to Benioff.
- 02The CEO emphasized that AI is transforming jobs rather than eliminating them, with plans to hire 1,000 fresh graduates.
- 03Salesforce has previously laid off around 5,000 employees due to AI automation in various departments.
- 04Benioff's remarks suggest a future where human and AI collaboration is the norm in the workplace.
- 05The $300 million expenditure would position Salesforce as one of Anthropic's largest commercial clients.
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Salesforce CEO Marc Benioff revealed that the company plans to invest $300 million in Anthropic tokens this year, primarily aimed at automating coding processes. During an appearance on the All-In podcast, Benioff described the potential of AI coding agents as 'awesome' and highlighted that this investment would lead to lower development costs for Salesforce. This move aligns with Benioff's previous announcements about halting engineer hiring in 2025, attributing productivity gains to AI technologies. Over the past two years, Salesforce has experienced significant workforce changes, including layoffs totaling nearly 5,000 positions across various departments due to automation. Despite these cuts, Benioff is committed to hiring 1,000 fresh graduates to support the company's AI initiatives. He envisions a future where humans and AI work together, coining the term 'digital labour revolution.' If realized, this investment would make Salesforce one of Anthropic's largest clients, although official confirmations of the figure are pending.
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Salesforce's shift towards AI-driven coding could lead to reduced job opportunities for software engineers while increasing demand for sales representatives to market AI products.
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