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Tech Companies Shift AI Strategies as Human Hiring Remains Essential
(MENAFN) Technology companies are reassessing plans to operate with significantly smaller workforces by relying heavily on artificial intelligence (AI), as some early efforts to substitute human employees with AI have failed to deliver the expected results.
Meta recently abandoned plans for another round of major workforce reductions after its AI-driven efficiency targets were not achieved. The company had considered cutting as many as 60% of employees in certain teams while transferring a large share of their responsibilities to AI agents. However, internal results indicated that the technology was not performing as expected.
Following an initial round of layoffs, Meta decided against additional cuts after internal assessments showed that AI systems were generating technical problems and failing to perform reliably. Employees were also spending more time addressing those issues, reducing the anticipated productivity gains. Meta CEO Mark Zuckerberg later confirmed that the company would not carry out another broad round of layoffs during the year.
Klarna has experienced a similar shift. The Swedish fintech company resumed hiring human employees after relying extensively on AI-powered customer service led to concerns over service quality. The company had previously promoted its AI system as capable of performing work equivalent to hundreds of customer service employees and had significantly reduced its recruitment of human staff.
Klarna CEO Sebastian Siemiatkowski acknowledged that the company had placed excessive emphasis on reducing costs. Under its revised approach, AI will continue to manage routine customer requests, while human representatives will remain available for cases that require personal assistance.
The developments suggest that businesses are not abandoning AI, but are becoming more cautious about the idea that artificial intelligence can completely replace human employees.
Recent technology-sector hiring data also points to a changing workforce structure. Overall recruitment at major technology companies has fallen substantially compared with 2019, while the reduction in software engineering hiring has been considerably smaller. As a result, software engineers now represent a larger share of total technology-sector recruitment.
Jobs focused on artificial intelligence and machine learning have expanded, whereas roles in areas such as design, marketing, and product management have experienced sharper reductions.
Research based on US payroll data has also found no clear evidence of widespread AI-driven job losses across the broader economy. However, employment among workers aged 22 to 25 has been weaker in occupations that are particularly exposed to AI. Researchers indicated that much of this impact appears to come from companies recruiting fewer entry-level employees rather than from large-scale layoffs.
At the same time, technology companies continue to reduce their workforces even as spending on AI increases. The experiences of Meta and Klarna, combined with recent employment trends, indicate that businesses are increasingly using AI to support smaller, more specialized teams rather than attempting to eliminate human workers altogether.
The shift also highlights the limitations of achieving productivity improvements simply by reducing headcount and expecting AI systems to absorb the work previously performed by employees.
Meta recently abandoned plans for another round of major workforce reductions after its AI-driven efficiency targets were not achieved. The company had considered cutting as many as 60% of employees in certain teams while transferring a large share of their responsibilities to AI agents. However, internal results indicated that the technology was not performing as expected.
Following an initial round of layoffs, Meta decided against additional cuts after internal assessments showed that AI systems were generating technical problems and failing to perform reliably. Employees were also spending more time addressing those issues, reducing the anticipated productivity gains. Meta CEO Mark Zuckerberg later confirmed that the company would not carry out another broad round of layoffs during the year.
Klarna has experienced a similar shift. The Swedish fintech company resumed hiring human employees after relying extensively on AI-powered customer service led to concerns over service quality. The company had previously promoted its AI system as capable of performing work equivalent to hundreds of customer service employees and had significantly reduced its recruitment of human staff.
Klarna CEO Sebastian Siemiatkowski acknowledged that the company had placed excessive emphasis on reducing costs. Under its revised approach, AI will continue to manage routine customer requests, while human representatives will remain available for cases that require personal assistance.
The developments suggest that businesses are not abandoning AI, but are becoming more cautious about the idea that artificial intelligence can completely replace human employees.
Recent technology-sector hiring data also points to a changing workforce structure. Overall recruitment at major technology companies has fallen substantially compared with 2019, while the reduction in software engineering hiring has been considerably smaller. As a result, software engineers now represent a larger share of total technology-sector recruitment.
Jobs focused on artificial intelligence and machine learning have expanded, whereas roles in areas such as design, marketing, and product management have experienced sharper reductions.
Research based on US payroll data has also found no clear evidence of widespread AI-driven job losses across the broader economy. However, employment among workers aged 22 to 25 has been weaker in occupations that are particularly exposed to AI. Researchers indicated that much of this impact appears to come from companies recruiting fewer entry-level employees rather than from large-scale layoffs.
At the same time, technology companies continue to reduce their workforces even as spending on AI increases. The experiences of Meta and Klarna, combined with recent employment trends, indicate that businesses are increasingly using AI to support smaller, more specialized teams rather than attempting to eliminate human workers altogether.
The shift also highlights the limitations of achieving productivity improvements simply by reducing headcount and expecting AI systems to absorb the work previously performed by employees.
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