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Salesforce CEO says AI is now doing almost 50% of internal work – Matthew Griffin | Keynote Speaker & Master Futurist
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Salesforce CEO says AI is now doing almost 50% of internal work

WHY THIS MATTERS IN BRIEF

AI is taking jobs already, there’s no doubt, and it’s starting to get noticed.

 

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Salesforce, who recently rolled out the AI Agents platform AgentForce is accelerating its use of Artificial Intelligence (AI) in automating workloads, according to CEO Marc Benioff.

 

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“All of us have to get our head around this idea that AI Agents could do things, that before, we were doing, and we can move on to do higher-value work,” he said in an interview with Bloomberg, noting that the technology currently accounts for – AKA automates – about 30% to 50% of the company’s work.

 

AI and the Future of Work and Skills, by Keynote Matthew Griffin

 

Technology companies are hunting for new ways to trim costs, boost efficiencies and transform their workforce with the help of AI, and so far Amazon, DuoLingo, Google, Klarna, Microsoft, and many others have all come out as said that AI is now doing at least 30% of work which includes everything from customer service and course development through to software development and beyond.

The aftershocks of this emerging reality have already hit the tech industry with Salesforce already having cut more than 1,000 positions earlier this year as it restructured around AI. Other technology companies have made similar moves, including cybersecurity giant CrowdStrike.

 

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Klarna CEO Sebastian Siemiatkowski said the company has shrunk its headcount by 40% due in part to AI investment, while Amazon CEO Andy Jassy said the E-Commerce giant will use AI to reduce roles.

Benioff called the rise of AI in the workforce a “digital labor revolution” with the emergence of the limitless digital workforce estimating that the software company has reached about 93% accuracy with the technology.

“It’s pretty good,” he said, but it’s not “realistic” to hit 100%. He added that other vendors are at “much lower levels because they don’t have as much data and metadata” to build higher accuracy.

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