Mass layoffs have misplaced their novelty in 2025, with main enterprises saying sweeping job cuts on a rolling foundation all year long. Firms throughout totally different sectors have been affected: Goal terminated 1,800 company roles in October, whereas UPS has now eradicated a complete of 48,000 positions this 12 months alone. However there is a new pattern shaping quite a lot of these employment cuts, one that’s holding CIOs on their toes: Constantly, it is AI that’s named as the rationale behind job elimination.
In a memo to workers, Amazon referred to the 14,000 layoffs it introduced this week as a part of “shifting sources to make sure we’re investing in our greatest bets.” Later, it referenced AI as “probably the most transformative know-how we have seen for the reason that Web.” At Salesforce, the corporate attributed its current layoffs of 4,000 workers partially to the advantages of AI. Even finance has joined in, with Goldman Sachs sharing its plans to cut back human roles the place AI replacements had been possible.
For CIOs, these layoff bulletins are an unavoidable signpost that AI goes to form employment technique for the foreseeable future — and it is the CIO’s duty to forge that path. However is that this a warning, a chance, or perhaps a PR spin?
How Accountable Is AI for Layoffs?
Whereas AI could also be referenced as a constant contributor to current layoffs, not all specialists are satisfied that that is the sincere reality.
“Most claims that AI use is resulting in layoffs are largely overstated, given the present maturation of that know-how inside enterprises,” stated David Linthicum, a cloud and AI subject-matter professional and former chief cloud technique officer at Deloitte Consulting. “Whereas there have been some productiveness beneficial properties, it is to not the purpose the place the power to put off workers is on the degree we’re seeing.”
Reasonably than being a direct results of AI automation, Linthicum stated he views the layoffs as each a correction of earlier over-hiring within the post-pandemic interval and a response to the slowing of gross sales. The reference to AI may as an alternative be a option to put an optimistic spin on the information: Whereas layoffs is perhaps a vital loss, they’re additionally paving the best way for higher efficiency. Lisa Palmer, CEO and chief AI strategist at Dr. Lisa AI, describes this phenomenon as “AI washing.”
“Firms claiming that they’ve gained a lot productiveness from AI use that they’re shedding pointless workers — most often, that is PR spin,” she stated.
Ramesh Dontha, an AI professional, creator, entrepreneur, and thought chief, agreed that attributing job cuts to AI is not the complete image — particularly in terms of IT groups. He described AI as redefining, relatively than changing, IT. In each main layoff wave citing AI, the pattern is not that tech groups are being gutted, he stated; it is that IT is turning into extra strategic and fewer operational.
“The true shift is from upkeep to mannequin administration — from fixing techniques to coaching them,” Dontha stated.
Whereas AI’s duty is debatable, there are two issues everybody agrees on: AI is the first space of focus going ahead, and it’ll change what jobs appear like.
Main IT Groups within the AI Period
For CIOs, the general public emphasis on AI is a double-edged sword. Whereas it could look like the IT division has been elevated when it comes to firm worth, it isn’t impervious to staffing adjustments and even job cuts.
“Many assume IT is protected as a result of it is the implementer of AI — it is not,” stated Wendy Turner-Williams, founder and govt managing director of TheAssociation-AI.org, and strategic advisor for knowledge and AI on the College of Maryland World Campus. “The identical automation that IT deploys throughout the enterprise is being aimed proper again at its personal operations: incident response, QA, service tickets, documentation, even coding.”
Turner-Williams and Dontha each spoke of the vulnerability of IT groups to automation if they don’t seem to be purposefully redirected towards new methods of working. Linthicum was extra optimistic about IT groups’ safety, arguing that they will be wanted to realize the lofty AI targets that corporations are articulating. Nevertheless, this protected class standing could also be solely momentary till the AI options have been developed and launched.
CIOs could also be tempted to try to shield their groups from future layoffs — and this can be a noble aim — however Dontha and others warn that this focus is the incorrect method to the largest query of working within the AI age.
“Defending individuals from AI is not the reply; making ready them for AI is,” Dontha stated. “The CIO’s job is to redeploy human expertise towards high-value work, not protect yesterday’s org chart.”
For Palmer, it’s crucial that CIOs not get distracted by preserving the established order. Whereas it could be tempting to dig of their heels and take the most secure route by way of the AI quagmire, this is not going to reap the rewards they should truly AI-proof their group. She stated she sees workers at each degree, from frontline to C-suite, as in danger if they do not actively adapt, upskill, and transfer quick.
“Many CIOs have created AI insurance policies, constructed AI governance groups, even launched pilots,” Palmer stated. “That is all extraordinarily low-risk, vital work. It is also a good distance from creating worth for his or her companies. That’s what places leaders and their groups prone to downsizing or alternative.”
CIOs Below Higher AI Stress
When an organization describes its layoffs as a part of a redistribution of sources into AI, it shines a highlight on its future AI efficiency. CIOs had been already feeling the strain to search out productiveness beneficial properties and price financial savings by way of AI instruments, however the stakes are actually larger — and really public.
“When AI is cited as the rationale for layoffs, the CIO inherits the clock,” Turner-Williams stated. “Boards and CEOs will anticipate seen ROI, and quick.”
Unsurprisingly, this strain usually results in unproductive outcomes. In keeping with Turner-Williams, it’s common for strain to drive a surge in proofs of idea that focus narrowly on value takeout, relatively than sustainable worth creation. “However dashing ROI hardly ever builds it,” she added.
It is not simply CIOs on the corporations affected which may be feeling this strain. A number of trade specialists described these layoffs as signposts for different organizations: That AI technique wants an overhaul, and that there’s a new operational mannequin to check, with fewer layers, quicker cycles, and extra automation within the center. Whereas they could possibly be interpreted as warning indicators, Turner-Williams careworn that this is not a time to panic.
As a substitute, CIOs ought to use this as a chance to get proactive. She acknowledged that when hyper-scalers restructure, midmarket and enterprise CIOs usually really feel pressured to comply with go well with, to show better effectivity to the board.
“However imitation is not transformation,” she warned. “The smarter response is to pause, not panic. Do not copy the symptom, research the sign. AI does not remove jobs; dangerous AI technique does.”
After Layoffs, Now What?
There isn’t any one-size-fits-all method to AI technique, however trade specialists are notably break up on what motion ought to appear like in response to a mass layoff, whether or not it happens internally or at an trade counterpart.
Dontha spoke of a number of ways in which CIOs can earn some goodwill from the remainder of the chief staff by way of early AI wins. Some boards will anticipate leads to 90-180 days, whether or not that appears like quicker deployments, tangible value financial savings, or shorter incident response occasions. For IT leaders dealing with these calls for, he advisable copilot-assisted service desks to chop decision time by 25% to 30%; AI code assistants to spice up developer throughput by 15% to twenty%; and cloud FinOps AI to cut back inference prices by as much as 40%.
Palmer was much less prescriptive however nonetheless adamant about the necessity to take motion. “Too many leaders are defending their titles as an alternative of defending their corporations, paralyzed by the worry of doing one thing dangerous relatively than the results of doing nothing,” she stated. “[But] opponents aren’t ready.”
She advocated for clear, considerate motion that is led by braveness, relatively than worry. Reasonably than specializing in the potential fallout of an ineffective AI push, she argued that inaction is the largest danger of all.
On the alternative aspect, Linthicum suggested leaders to withstand the push to search out fast wins. He noticed that, for all of the expectations and pleasure round AI’s influence, ROI remains to be fairly elusive in terms of AI tasks. To truly see success, CIOs will certainly have to dedicate extra sources to their AI applications, however he stated he believes the sense of urgency created by these layoffs is “largely misplaced.”
“I’d give attention to their very own wants and transfer to AI, or another know-how, when it is smart for them,” he stated. “Do not comply with the gang.”
Suggesting a method considerably in between these two stances, Turner-Williams stated she believes profitable CIOs would be the ones who can work alongside two separate timelines: the AI initiatives that can have measurable influence in 90 days, and those that can remodel operations over 18 months. She agreed with Dontha’s short-term options, saying that these early beneficial properties will come from improved operation effectivity, however she added the significance of pursuing a bolder reinvention technique alongside.
Finally, Turner-Williams stated, “AI is not only a know-how funding — it is a management stress check.”
