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On December 18th, Caixin News Agency reported that Mark Benioff, CEO of AI application giant Salesforce, announced on Tuesday that the company is preparing to recruit 2000 new salespeople to promote its newly released AI application tools.
Last month, Benioff just announced plans to recruit 1000 people to "focus on selling artificial intelligence software".
The core reason for the CEO's optimistic doubling of recruitment targets is the rapid development of AI applications in the past few months. Saifushi released its next-generation AI agent platform Agentforce 2.0 on Tuesday, just three months after the company's first release of this product at the end of September.
By the way, Benioff has announced that the third-generation AI proxy platform will be released in May next year!
As the software giant behind the American version of "DingTalk" Slack and the business data analysis tool Tableau, Safran is not only one of the 30 constituent stocks of the Dow Jones Industrial Average in the United States, but also a popular stock in the AI application direction of the US stock market. In the fourth quarter of this year, its cumulative increase has reached 28%, and its market value has exceeded 300 billion US dollars.
(Weekly chart of SEF, source: TradingView)

The Way to Make Money: Helping Enterprises Create an 'AI Workforce'
With the rapid development of AI applications, Saifushi's ambitions are also rapidly expanding. The company has referred to the second-generation AI agent platform as a digital platform that can "build an infinite workforce" - allowing any enterprise to create an endless number of digital workers who can work 24 hours a day through AI.
Benioff introduced that Agentforce 2.0 has new reasoning, integration, and customization capabilities, enabling autonomous agents ("AI workers") to have unprecedented intelligence, precision, and accuracy. The company is seamlessly integrating AI, data, applications, and automation with humans, reshaping the way work is done and enabling any company to build an infinite workforce that truly transforms its business.
More importantly, Saifushi has lowered the threshold for creating AI workers sufficiently. Enterprises only need to describe their requirements in simple language, and the platform can generate their exclusive "AI workers". Relevant adjustments can also be made through a no code interface - but they only need to pay fees to Saifushi.
For the convenience of stock investors to understand, the company has also provided some cases on how to use AI proxy platforms.
For example, the globally renowned human resources service company Adecco has built a complete recruitment process on the Saifushi AI agency platform, including matching candidates, helping adjust resumes, etc., allowing recruiters to focus on more meaningful contacts - now AI can also directly send emails to inquire when candidates are available to arrange interviews and prepare relevant professional interview questions.
(source: video demonstration)

Secret Escapes, a membership based travel company, states that the tourism industry is a 7X24 business that typically faces unique and urgent requests. By setting up AI agents, the company's 60 million European members can receive more personalized solutions - allowing AI to handle numerous routine requests such as canceling orders, updating reservation information, answering flight and luggage status, while customer service personnel can handle more complex temporary requests.
It is not difficult to see that the major prerequisite for the usefulness of AI agents is the need to process large amounts of data in the daily work of enterprises. The more data there is, the greater the value that AI can uncover.
In the financial industry, the "AI agent" established by Royal Bank of Canada can already answer questions such as "how interest rate cuts affect a client's investment portfolio", using the bank's own data and business logic to provide answers and personalized recommendations to financial advisors.
Of course, Saifushi itself is also a customer of its own company. Benioff stated that there is an experimental AI agent on the company's homepage that can answer user queries about the company's products. This page has 32000 conversations per week, and currently about 5000 of them will be upgraded to human customer service, compared to 10000 previously, which is equivalent to reducing the demand for human customer service by half.
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