IBM’s CEO just said the quiet part out loud on AI-related job losses
Arvind Krishna said “we should all feel better” about the influx of generative AI tools
IBM chief executive Arvind Krishna’s latest comments on generative AI-related job losses paint a worrying picture of the fate awaiting workers globally as enterprises look to adopt the technology and streamline productivity.
Krishna shed more light on how the company views recent developments in the generative AI space in an interview with CNBC, noting that the productivity benefits afforded by the technology should not be overlooked by enterprises.
Long-term, he said, generative AI has the potential to “make every enterprise process more productive” and unlock marked benefits for organizations - but that will likely come at the expense of human-held jobs.
“That means you can get the same work done with fewer people,” he said. “That’s just the nature of productivity. I actually believe that the first set of roles that will get impacted are - what I call - back office, white-collar work.”
Krishna’s comments come as no surprise given the widely-documented risks to human workers through generative AI over the last nine months.
“Up to 300 million” jobs globally could be lost to automation in the coming years, according to a report from Goldman Sachs, while a study from McKinsey in July found that administrative roles, such as office support, customer service, and HR will see a decline in roles due to generative AI.
What Krishna’s comments do point to is that the veneer of positive marketing positioning generative AI as a mere support tool for human workers is showing cracks.
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IBM has been bullish on generative AI throughout 2023, and Krishna has been outspoken on the company’s push to deeply integrate these tools within day-to-day operations. In May, the chief exec revealed that around 7,800 staff in non-customer-facing roles could be replaced by AI, equivalent to roughly 30% of staff currently occupying these positions.
The firm has gone so far as to freeze hiring for roles in human resources and assorted “back office” positions in anticipation of automation on these fronts.
IBM isn’t alone in its focus on AI integration and cutting human workforces, however.
Earlier this year, BT announced it plans to lay off tens of thousands of workers in the coming years and automate a slew of roles. The cuts will see the telecoms giant lay off around 40% of its workforce by the end of the decade.
The firm framed this as a strategy to create a “leaner business”, but the focus on integrating AI that forms a key aspect of this strategy will see up to 10,000 roles cut and replaced with AI.
Administrative and “back office” roles aren’t the only positions in the crosshairs amid the generative AI boom either. KPMG research in July found that tasks performed by programmers and software developers are at risk, along with IT support technicians.
Despite this, Krishna appeared insistent that augmenting human workers is still the key focus, and not workforce consolidation and automation.
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“It’s absolutely not displacing, it’s augmenting,” he told CNBC. “The more labor we get, especially if it’s not human based at all, we can create more GDP. We should all feel better about it.”
This position does align with recent analysis from the International Labor Organisation (ILO), which suggested that most jobs and industries are “only partially exposed” to automation, meaning roles are “more likely to be complemented rather than substituted by AI”.
“The most important impact of the technology is likely to be of augmenting work,” the ILO study stated.
Ross Kelly is ITPro's News & Analysis Editor, responsible for leading the brand's news output and in-depth reporting on the latest stories from across the business technology landscape. Ross was previously a Staff Writer, during which time he developed a keen interest in cyber security, business leadership, and emerging technologies.
He graduated from Edinburgh Napier University in 2016 with a BA (Hons) in Journalism, and joined ITPro in 2022 after four years working in technology conference research.
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