Salesforce Chief Says 'We Don't Require More Software Engineers'. Here's The Reason Why
Salesforce CEO Marc Benioff is used to making sensational headlines with his comments. His latest statement is no different.
Salesforce, the global leader in cloud computing, won't be looking for new software engineers anytime soon, citing a major boost in productivity driven by artificial intelligence (AI). The decision reflects the company's evolving approach to leveraging technology for operational efficiency.
During an appearance on the '20VC with Harry Stebbings' podcast, CEO Marc Benioff - who is used to making sensational headlines with his comments - discussed how AI has transformed the company’s engineering processes.
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“The advancements in AI have been remarkable,” Benioff said. “Our engineering productivity has increased by 30 per cent, which means we don’t currently require more software engineers. AI has fundamentally changed how we work.”
You can watch the podcast below:
Central to this transformation is Salesforce's use of AI tools, including its proprietary Agentforce platform, which has streamlined workflows and enhanced performance. Instead of expanding its engineering workforce, the company aims to rely on these advanced technologies to address operational and technical demands.
Salesforce Isn't Really Going On Hiring Freeze
While engineering roles are on hold, Salesforce plans to bolster its sales team by hiring 1,000 to 2,000 professionals. This strategic move highlights the company’s focus on scaling its business while maintaining technological efficiency.
Arundhati Bhattacharya, Chairperson and CEO of Salesforce India, reinforced the company’s balanced approach to AI adoption. In remarks shared with The Economic Times, she explained that AI is intended to complement rather than replace human roles.
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AI is designed to handle repetitive tasks, freeing employees to focus on more complex and strategic responsibilities,” Bhattacharya noted. She emphasised that AI-driven efficiencies allow businesses to overcome constraints like limited time and resources, enhancing workforce productivity without causing large-scale job cuts.
Bhattacharya further stressed that as AI adoption grows, it will create new opportunities for strategic roles, fostering a collaborative integration of human talent and technology.