AI Creates 2,000 New Jobs at Salesforce
Marc Benioff, CEO of Salesforce, announced at the Agentforce 2.0 event that the company is undergoing a hiring surge, and they’re adding a ‘couple thousand’ employees to sell the company’s AI-focused products. He also revealed that the company has received 9,000 referrals for the 2,000 positions they have opened up. Salesforce announced Agentforce 2.0 on Tuesday, calling it the “digital labour platform for building a limitless workforce.” The company said that Agentforce 2.0 brings in advanced reasoning and RAG capabilities to deliver precise answers to complex multi-step questions. The company also said that the release brings in a new library of integrations and the ability to deploy Agentforce in Slack. Agentforce can perform tasks across Slack, Tableau, and AppExchange. The new release also allows Agentforce to be extended to any system using MuleSoft. Agentforce also features an improved Agent Builder capable of understanding instructions in natural language. “These agents seamlessly combine pre-made skills with custom logic built in Salesforce, offering unparalleled flexibility and speed,” said the announcement. Agentforce 2.0 is the successor to the first iteration, and it is an AI-focused platform that helps businesses create and deploy agents that leverage language models and tools within the Salesforce ecosystem. “I’m not just managing human beings, but I am also managing agents,” Benioff said. A few months ago, he also said that his vision is to empower one billion agents with Agentforce by 2025. Earlier, it was reported that Salesforce is planning to hire a thousand people to help the company sell their AI products. However, Salesforce laid off 700 employees earlier this year in January. In June, reports indicated another round of layoffs, with 300 more employees heading their way out. Salesforce AI Research also recently launched Moirai-MoE, which is described as the first mixture-of-experts time series foundation model. The model aims to empower time series foundation models with a sparse mixture of experts (MoE) and achieve token-level specialisation in a data-driven manner. That said, Benioff is taking the agents’ game seriously – and has regularly engaged in a war of words with Microsoft.“Microsoft rebranding Copilot as ‘agents’? That’s panic mode,” Benioff posted on X. “Let’s be real—Copilot’s a flop because Microsoft lacks the data, metadata, and enterprise security models to create real corporate intelligence…” In another post, he said, “Unlike Microsoft Copilot, Salesforce Agentforce’s Large Action Models (LAMs) leverage both structured and unstructured data across Salesforce’s secure, scalable ecosystem—Data Cloud, Customer 360, Tableau, Flow, & Slack—to drive real-time, intelligent, autonomous actions.”
The company also announced the arrival of Agentforce 2.0.
The company also announced the arrival of Agentforce 2.0. 
["AI (Artificial Intelligence)", "Salesforce"]
["Go", "AI", "data-driven", "ML", "Scala", "Git", "RAG", "Aim", "Salesforce", "foundation models", "R", "AI (Artificial Intelligence)"]
["AI", "ML", "foundation models", "Aim", "RAG", "R", "Go", "Scala", "Git", "data-driven"]
Supreeth is an engineering graduate who is curious about the world of artificial intelligence and loves to write stories on how it is solving problems and shaping the future of humanity.