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LinkedIn's AI hiring agents on track for $450 million in yearly revenue
LinkedIn's new AI tools for recruiters are set to bring in a massive $450 million next year. These smart systems help find the best job candidates faster. Recruiters can now focus on important tasks, saving valuable time. This innovation highlights LinkedIn's commitment to solving real-world problems for its users. The company is making significant strides in AI-powered professional services. LinkedIn, the social network for professionals owned by Microsoft, on Wednesday said that its hiring products using what is known as agentic AI are on track to generate $450 million in sales in the coming year. The sales disclosure for a core â AI â product is new for LinkedIn, which has 1 billion members and makes much of its revenue from selling tools to sales and recruiting professionals. While Microsoft reports LinkedIn's overall sales growth as part of its productivity and business process operating unit, it does not disclose absolute dollar figures for the â network. LinkedIn has launched two primary agentic AI products for recruiters, one for large businesses and one for small â businesses. The systems work by having an AI agent take instructions from a human recruiter to understand what the recruiter is seeking and then sift through LinkedIn profiles to find the best ones for follow-up by the human recruiter. LinkedIn said the products, some of which were in testing for nearly a year before release, are helping recruiters save time and get higher response rates when contacting potential hires. "Recruiters told us half their â day was low-value work, so we made a bet on understanding their pain to get our solution right," Dan Shapero, LinkedIn's new CEO who took over last week, told Reuters in a statement. "That focus on the customer, not racing to launch an AI agent, was the right one and hitting this milestone shows it."
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LinkedIn's AI hiring agents on track for $450 million in yearly revenue
SAN FRANCISCO, April 29 (Reuters) - LinkedIn, the social network for professionals owned by Microsoft, on Wednesday said that its hiring products using what is known as agentic AI are on track to generate $450 million in sales in the coming year. The sales disclosure for a core AI product is new for LinkedIn, which has 1 billion members and makes much of its revenue from selling tools to sales and recruiting professionals. While Microsoft reports LinkedIn's overall sales growth as part of its productivity and business process operating unit, it does not disclose absolute dollar figures for the network. LinkedIn has launched two primary agentic AI products for recruiters, one for large businesses and one for small businesses. The systems work by having an AI agent take instructions from a human recruiter to understand what the recruiter is seeking and then sift through LinkedIn profiles to find the best ones for follow-up by the human recruiter. LinkedIn said the products, some of which were in testing for nearly a year before release, are helping recruiters save time and get higher response rates when contacting potential hires. "Recruiters told us half their day was low-value work, so we made a bet on understanding their pain to get our solution right," Dan Shapero, LinkedIn's new CEO who took over last week, told Reuters in a statement. "That focus on the customer, not racing to launch an AI agent, was the right one and hitting this milestone shows it." (Reporting by Stephen Nellis in San Francisco; Editing by Chizu Nomiyama )
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LinkedIn announced its AI hiring agents are on track to generate $450 million in yearly revenue next year. The agentic AI products help recruiters sift through profiles and identify top job candidates, with new CEO Dan Shapero crediting a customer-centric approach focused on solving real recruiter pain points rather than rushing to market.
LinkedIn, the professional social network owned by Microsoft, disclosed that its AI hiring agents are projected to generate $450 million in yearly revenue over the coming year
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. This marks a significant sales disclosure for a core AI product from the company, which has 1 billion members and derives much of its revenue from selling tools to sales and recruiting professionals2
. While Microsoft reports LinkedIn's overall sales growth as part of its productivity and business process operating unit, it does not typically disclose absolute dollar figures for the network.Source: Market Screener
LinkedIn has launched two primary agentic AI products designed specifically for recruiters, with one tailored for large businesses and another for small businesses
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. These systems operate by having an AI agent take instructions from a human recruiter to understand what the recruiter is seeking, then sift through profiles on LinkedIn to identify the best job candidates for follow-up by the human recruiter2
. The products were tested for nearly a year before their official release, demonstrating LinkedIn's measured approach to deployment.Dan Shapero, LinkedIn's new CEO who took over last week, emphasized the company's deliberate focus on solving real problems rather than rushing to market. "Recruiters told us half their day was low-value work, so we made a bet on understanding their pain to get our solution right," Shapero told Reuters
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. He added that the customer-centric approach to AI, rather than racing to launch an AI agent, proved to be the right strategy, with the revenue milestone validating this decision. LinkedIn reports that the products are helping recruiters save time and achieve improving response rates when contacting potential hires2
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Source: ET
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The $450 million in yearly revenue projection signals strong market demand for AI-powered recruiting solutions that address genuine workflow inefficiencies. By cutting low-value work in half, these tools allow recruiters to focus on strategic tasks like relationship-building and candidate evaluation. This success could accelerate adoption of similar agentic AI systems across other professional services within LinkedIn's ecosystem, potentially reshaping how sales and business process functions operate across the platform. The disclosure also provides rare insight into how individual AI products are performing financially at major tech companies, setting a benchmark for the monetization potential of enterprise AI agents.
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