In recent days, reports that Oracle has laid off tens of thousands of employees despite posting strong profits have drawn widespread public attention. Although the figure of 30,000 employees has not been officially confirmed, the story reflects a growing reality: major technology corporations are proactively cutting their workforce while accelerating investment in artificial intelligence.
What troubles many observers is not only the scale of these layoffs, but also how they are carried out. Stories circulating on social platforms, particularly forums like Reddit, suggest that many employees were dismissed abruptly through emails or brief messages. This raises deeper questions not just about business strategy, but about how companies perceive human value in the age of advanced technology.
Artificial intelligence is rapidly becoming the centerpiece of corporate strategy. It is not just Oracle; other major players such as Amazon, Google, IBM, and Atlassian have also implemented significant layoffs in recent years. Notably, these decisions often occur during periods of strong revenue and profitability, suggesting that they are not crisis responses but strategic repositioning for the future.
From a strategic standpoint, layoffs during profitable periods are not as contradictory as they may seem. AI requires enormous capital investment, from data centers and computational infrastructure to model development and ecosystem integration. Reducing labor costs is one of the fastest ways to reallocate resources toward these priorities. At the same time, AI-driven automation is fundamentally changing the nature of many jobs. Roles that involve repetitive tasks, operational processes, or basic support functions are increasingly being replaced by intelligent systems capable of higher efficiency.
Competitive pressure also plays a critical role. Once one company gains an advantage through AI adoption, others are compelled to follow to remain competitive. This creates a chain reaction across the industry, pushing widespread organizational restructuring.
However, experts argue that the issue extends beyond technology to the speed of transition. While AI has the potential to create new job opportunities, these roles often demand more advanced skills. Workers who lose their jobs are not always able to transition immediately, leading to a temporary imbalance in the labor market.
Several international studies suggest that a significant portion of current jobs will be transformed or replaced over the next decade. Yet this transformation will not be uniform. Occupations with repetitive characteristics are more vulnerable, while roles requiring creativity, strategic thinking, and human interaction are likely to remain more resilient.
Beyond economic considerations, ethical concerns are becoming increasingly central. Cases where long-term employees are dismissed without adequate preparation or support have sparked debate about corporate social responsibility. In the past, tech companies often promoted a “people-first” culture. Today, as optimization becomes a priority, employees are sometimes viewed more as adjustable costs than as long-term assets.
In Vietnam, this trend has not yet manifested as dramatically as in the United States, but early signs are emerging. Many businesses are quietly integrating AI into operations, from customer service to marketing and data management. While this may not lead to immediate large-scale layoffs, it is likely to gradually reshape workforce structures in the near future.
When AI Redefines Not Just Work, But How People Are Treated
Viewed broadly, AI-driven layoffs are not a temporary phenomenon. They are part of a deeper structural transformation of the global economy. However, the way this transition is unfolding reveals a critical tension: technology is advancing faster than society’s ability to adapt, and within that gap, workers are the ones most directly affected.
AI offers unprecedented efficiency and new opportunities, but it also forces businesses and societies to confront fundamental questions about responsibility, ethics, and fairness. The future will depend not only on how powerful AI becomes, but on how humans choose to use it and how they treat one another throughout this transformation.
