Operational Excellence (OPEX) Insight – Tuesday - August 18, 2026: The AI Excuse.
Góc Nhìn Vận Hành Xuất Sắc – Thứ Ba, Ngày 18/08/2026: Cái Cớ Mang Tên AI.
Welcome To Operational Excellence (OPEX) Insight Article For The Paid Subscriber-Only Edition.
This is the bilingual post in English and Vietnamese. Vietnamese is below.
Đây là bài viết song ngữ Anh-Việt. Tiếng Việt ở bên dưới.
English
PART 1 – OFFICIAL INFORMATION
The year 2026 has seen a broad wave of workforce cuts, and what stands out is not only its scale but how it is being explained. In the second quarter of 2026, a series of global companies announced large restructuring programs, tied to automation, manufacturing consolidation, outsourcing, and shutting down business lines. The common thread in most of the messaging is a tidy, modern-sounding story: artificial intelligence lets us do more with fewer people.
The names leading the wave are all familiar. From early 2026, technology giants like Meta, Google, Amazon, Salesforce, along with Block, Atlassian, Pinterest, announced significant cuts one after another, and many linked those cuts directly to productivity gains from AI tools. But the phenomenon did not stop at technology. According to industry roundups, the wave spread into automotive, manufacturing, banking, consumer goods, retail, telecommunications, and media meaning it is not a story unique to Silicon Valley, but a systemic cost-cutting trend wrapped in a common explanatory garment.
The way companies describe their own actions is also fairly consistent. They speak of fundamentally redesigning how they operate: automating processes, consolidating facilities, handing functions to outside providers, and reallocating investment toward AI and strategic priorities. From executives’ internal memos to earnings calls, headcount reductions are increasingly framed as the natural outcome of automation, of AI-generated code, and of smaller teams doing more.
But right alongside that tidy story, a counter-current has emerged, and it is worth pausing on. Many observers argue that much of this narrative is “AI-washing” borrowing the AI label to mask a more complex mix of pure cost-cutting, post-pandemic restructuring, and the need to free up cash to fund massive AI infrastructure investments. In other words, not every “AI helps us streamline” is AI genuinely streamlining; often AI is merely a pretty keyword for a financial decision already made.
This is exactly where the story moves beyond personnel news and becomes a serious operational question. Because between cutting people and improving how you operate lie two entirely different things, even though they are usually spoken of as one. A business can reduce headcount while not changing at all how the work is done, and then the old workload remains fully intact, just carried by fewer people, until quality slips or people burn out. Conversely, a business can redesign the process to the point where much of the old work simply no longer needs to exist, and then reducing people is a result, not a starting point.
That difference sounds subtle, but it decides success or failure. And the most notable point is: this is not the first time an idea about redesigning operations has been turned into a pretext for cuts. Three decades ago, a famous management tool walked exactly this path born with the promise of redesigning processes, then misread into a synonym for mass layoffs. That very tool, and its costly lesson, is the sharpest lens for reading the wave of 2026.
