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Key Insights from ZDNET
- Firms that have laid off staff due to AI are now facing remorse over their decisions.
- Forward-thinking leaders are shifting their focus toward creating value instead of merely cutting costs.
- Strategies are in place to help professionals explore new growth opportunities.
The trend of opting for AI-driven layoffs is often perceived as a quick fix for reducing expenses. According to jobloss.ai, a platform that monitors AI-related job losses, approximately 126,000 employees in the United States were laid off between January 2025 and June 2026 due to factors associated with AI.
Ankur Anand, the group CIO of Harvey Nash, highlighted the prevailing mindset among executives regarding AI as a means to achieve cost savings. He noted that initial messages from vendors and consultants have emphasized enhancing productivity, automation, and achieving more with fewer resources. This narrative has reinforced the belief that minimizing headcount is the quickest route to achieving value.
Reevaluating Job Cuts
However, the act of substituting human workers with AI does not guarantee success. There is an increasing recognition among businesses of the limitations posed by AI, leading many to regret their previous job-cutting measures.
Research from Careerminds indicates that eliminating jobs often fails to deliver the anticipated value, with three-quarters of organizations reporting that AI-related layoffs incurred more costs than savings. Alarmingly, around 90% of companies stated they would reconsider their decisions if given another opportunity.
Analyst predictions from Gartner suggest that 50% of companies that reduced their workforce due to AI will likely reinstate employees by 2027.
Anand emphasized that organizations treating AI solely as a tool for cost-cutting are missing out on the larger opportunity to combine technological capabilities with human excellence to create new value. He remarked that a successful AI strategy should not only focus on headcount but rather on fostering growth through innovation.
Looking Beyond Cost Reduction
Steve Lucas, CEO of technology integration firm Boomi, advised that any value-driven approach should begin with a careful examination of the implications of AI-related layoffs. While the evolution of technology will undoubtedly alter job roles, he cautioned that many of the layoffs attributed to AI are often an excuse for companies seeking to reduce costs.
Lucas asserted that while AI will undoubtedly impact employment, much of the blame placed on AI for job losses is premature. He urged professionals to be cautious of experts predicting a total overhaul of the workforce due to AI, as we are still in the early stages of automation.
He remained optimistic about the potential of AI to enhance productivity and improve quality of life, stating that it could lead to longer and healthier lives for many.
Stephen Wood, COO at Rathbones Asset Management, echoed this sentiment, asserting that the impact of AI on the workplace can be positive. He cautioned that while AI can assist with certain tasks, it cannot replace the need for human expertise. Wood argued that skilled professionals remain essential and should not be sidelined by AI advancements.
Fostering New Business Value
Education plays a crucial role in adapting to AI, according to Tim Chilton, a geospatial consultant at the UK’s Ordnance Survey. He has initiated a project to implement Snowflake AI technologies, aiming to provide staff with an interface that allows immediate access to necessary data that might otherwise take weeks to gather.
The goal of this initiative is to empower existing employees through innovation rather than replacing them with AI. Chilton emphasized the importance of finding a balance between technology and human agency, allowing staff to determine the appropriate level of AI integration within their workflows.
This balanced approach mirrors Anand’s insights, where he noted that successful leaders leverage AI to streamline critical processes, enhancing operational efficiency.
- Firms in professional services are using AI to expedite valuations and due diligence processes.
- Software development teams are deploying AI to accelerate feature releases and seize market opportunities.
- Pharmaceutical companies are utilizing AI tools to minimize errors in regulatory documents.
Anand concluded by reiterating that the effective use of AI should focus not on reducing headcount but on exploring growth avenues.
Five Strategic Recommendations
Anand proposed five areas of focus for leaders aiming to harness AI effectively:
- Avoid Defaulting to Layoffs: Cutting jobs in anticipation of AI efficiency can deplete valuable institutional knowledge and stifle innovation.
- Redesign Work, Not Just Reduce It: Utilize AI to reshape processes, allowing humans to engage in more complex and creative tasks.
- Measure Value Beyond Cost: Assess metrics such as cycle time, quality, scalability, and risk reduction, rather than merely focusing on savings.
- Invest in Talent: Provide training to employees to effectively collaborate with AI and develop new roles that capitalize on human strengths.
- Prepare for Workforce Evolution: Aim to create enduring value by adopting AI as a tool for growth rather than merely a means of contraction.
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