The AI layoffs debate becomes more complex as Salesforce CEO Marc Benioff makes plans to hire 1,000 graduates during AI push, directly challenging the theory that AI will eliminate early-career opportunities.
At the same time, a Gartner survey found that 85% of service and support leaders are increasing human agent responsibilities amid these layoffs, with leaders expected to pursue workforce redesign over elimination.
With this debate still alive and well, AI is reducing certain jobs but also reshaping and increasing the importance of the human roles that remain.
Replying to a post on X, Benioff argued that AI is not eliminating entry-level jobs, but rather shifting them, with new graduates actively being hired to build and operate Salesforce’s latest AI systems.
“We’re hiring 1,000 new grads & interns right now to ride the AI exponential. You are right they said AI would kill entry-level jobs,” he announced.
“Meanwhile these grads & interns are building it – powering Agentforce & Headless360 at Salesforce.”
Redirecting Workforce Spending Toward AI Infrastructure
The recent wave of mass layoffs reflects a structural shift in how large technology firms are reallocating resources rather than a simple story of jobs being directly replaced by AI.
In the case of Oracle, the company cut 30,000 jobs at the end of March as one of its largest ever reductions, driven by financial and strategic planning, redirecting billions of dollars toward AI infrastructure to fund its transition.
By cutting operating costs and freeing capital to compete in an AI-driven market, these companies are prioritizing long-term investment in cloud and AI capabilities over maintaining legacy workforce structures.
This includes shifting resources from labor-intensive functions toward scalable, technology-led growth while reshaping the types of roles it needs rather than eliminating the need for human work entirely.
Salesforce Cuts Contrast With Continued Hiring
Despite these mass layoffs, recent signals from Salesforce and Gartner indicate that the AI layoffs debate is far from resolved and is instead becoming more complex.
Indeed, new LinkedIn’s insights have uncovered that early-career hiring remains a priority for many businesses, with those such as IBM and Accenture having invested in entry-level hiring and training.
With companies continuing to invest in human talent even as automation expands, Gartner’s recent survey shows that only 31% of service leaders are planning AI-driven reductions.
Eric Keller, Senior Director Analyst in the Gartner Customer Service & Support practice, explains that as AI takes over routine tasks, companies face a choice between cost-cutting or shifting human workers into higher-value roles.
“As AI begins to automate simple work, that success creates a new challenge,” he said.
“Service leaders must decide whether to simply do the same work at lower cost or to redeploy human agents into roles that AI cannot replace and that customers value most.”
With most organizations not pursuing outright replacement and instead redesigning work, the workforce is likely to see human agents being reassigned toward higher-value tasks.
Many firms are also gradually reducing headcount through attrition rather than sudden layoffs, while shifting employees into new roles inside the same organization, resulting in a quieter transformation in which job composition changes faster than total employment.
Efficiency Gains vs Customer Expectations
For CX, the layoffs argument aligns with another debate that reflects a structural tension between efficiency and expectation.
Many businesses are now accelerating AI to automate CX because it results now prove it reduces costs, handles large volumes of routine queries, and improves speed and consistency.
As a result, if AI can resolve simple issues faster and cheaper, it becomes the default channel for scale.
However, current customer behavior does not fully align with this automation push, meaning while many accept AI for basic, transactional interactions, they still expect human support for complex, emotional, or high-stakes situations.
This creates a gap between what companies optimize for, cost and efficiency, and what customers value, and even as AI expands, 85% of service leaders are increasing human agent responsibilities and shifting them toward higher-value work that customers care about most, indicating the critical role human involvement plays in customer satisfaction.
“Organizations that only use AI to reduce costs risk missing a strategic opportunity,” Keller continued.
“The real advantage comes from combining AI efficiency with human judgment, empathy and experience to deliver outcomes that technology alone cannot.”
This hybrid work model sees a shift in both directions, with AI handling volume, repetitive queries, and first-line interactions, while human agents take on escalations, problem-solving, and relationship management.
As a result, the struggle persists because both sides are valid, where businesses need automation to remain competitive and control costs, but over-automation risks degrading the customer experience if human access is reduced too far.
This, therefore, means an outcome of an ongoing balancing act in which companies continuously adjust the balance between automated and human, based on customer expectations, operational costs, and the limits of current AI systems.
