The ongoing transformations in the technology sector have resulted in significant layoffs, particularly affecting personnel aged 45 and above. The year 2026 has already witnessed over 73,000 job cuts across 95 companies, including major corporations like Meta, Oracle, and Microsoft, which alone accounted for tens of thousands of affected employees in a single month.

The layoffs are not merely a response to economic pressures but are also driven by a strategic focus on reallocating resources towards artificial intelligence and infrastructure development. Reports indicate that Oracle’s recent reductions were intended to support investments in AI data centres.

Furthermore, many employees who have lost their jobs express concerns regarding the decision-making processes behind these layoffs. Rather than being based on individual performance, layoffs seem to be influenced by a systematic approach prioritising cuts in higher-cost roles. Employees suspect the existence of an unwritten algorithm guiding these decisions.

Shift in Layoff Strategies

The current environment reflects a notable shift in how companies approach restructuring. Traditionally, layoffs involved one-off, subjective decisions; however, organisations are now relying on data-driven models to inform their workforce adjustments. This method focuses on evaluating the cost of an employee in relation to their revenue contributions.

Ankur Agarwal, a recruitment professional with significant experience, asserts that large firms increasingly favour an optimisation approach over traditional layoff practices. Employees whose roles are seen as distant from revenue generation are at heightened risk, particularly if they command higher salaries.

The most affected profiles generally include mid-to-senior individual contributors and those in support functions, such as human resources, marketing, and internal operations. These roles, while essential, are often challenging to quantify in financial terms, making them susceptible to budget cuts.

Impact of Age Bias

Age discrimination within the tech industry is a persistent issue, which has become even more pronounced amid cost-cutting measures. Surveys indicate that many professionals believe age bias is prevalent, with some workers in their late twenties already feeling compelled to enhance their market relevance.

Older employees, often earning higher salaries and positioned further from direct execution roles, face particular disadvantages during layoffs. Agarwal identifies key risk factors: higher-than-average compensation, seniority without management duties, and job roles lacking direct revenue linkages as indicators of vulnerability during workforce reductions.

Two impacted employees shared their experiences, expressing dismay that their years of service and prior contributions seemed to hold little weight when faced with the harsh realities of layoffs. They voiced confusion over the criteria guiding such decisions and highlighted the suddenness of their situation.

As the industry continues to evolve, the emphasis on demonstrating tangible impact in roles becomes crucial. Employees are encouraged to assess their proximity to revenue generation and ensure they can clearly articulate their contributions, as well as to pursue relevant skills that align with organisational priorities.

Networking should be prioritised not as a fallback option but as an integral aspect of career management, enabling individuals to stay attuned to swiftly changing opportunities. Flexibility in job scope and geographic location may also provide an advantage in a market increasingly focused on efficiency and cost-effectiveness.

Long or Short, get news the way you like. No ads. No redirections. Download Newspin and Stay Alert, The CSR Journal Mobile app, for fast, crisp, clean updates!

App Store –  https://apps.apple.com/in/app/newspin/id6746449540 

Google Play Store – https://play.google.com/store/apps/details?id=com.inventifweb.newspin&pcampaignid=web_share