The most brutal truth of the AI era is emerging: a company can be profitable and still let you go. NetEase recently found itself embroiled in controversy. On the surface, it appeared to be a typical rumor associated with a major tech firm, bringing together familiar themes: layoffs, outsourcing, AI, and the gaming industry.
NetEase promptly denied the extreme claim of "AI replacing all outsourced staff," yet the news still caused an uproar. Why? Because, deep down, everyone senses it doesn't seem false. It's not that everyone believes NetEase has already taken such action, but rather that a growing number of people are beginning to believe that some company, in this era, will inevitably do so. This is the truly chilling aspect of the incident.
For many years, the public understood layoffs through a simple logic: a company is struggling, performance is poor, profits are hard to come by, and therefore, layoffs are necessary. This logic once provided a basic sense of security: as long as the company is profitable, the industry is growing, and financial reports are stable, jobs are generally secure. However, the most cruel aspect of the AI era is that it is gradually dismantling this very sense of security.
In the future, a company might lay you off not necessarily because it is unprofitable. It could very well be because it has discovered it can earn more money with fewer people. If layoffs in the past signaled recession, from now on, they may increasingly resemble an upgrade. This is the crucial part of the NetEase controversy that deserves attention. What truly stings is not the question of "will NetEase conduct layoffs?" but the realization it forces upon many: the long-standing causal link between layoffs and poor financial performance is breaking.
Layoffs are no longer just the consequence of bad news; they are becoming a cost-optimization strategy in a prosperous era. Many remain trapped in the old narrative, believing layoffs must indicate corporate troubles. But over the past year, global giants have demonstrated otherwise through their actions.
Meta serves as a prime example. Its "Year of Efficiency" was not a desperate struggle by a dying company, but an initiative by a firm with substantial cash flow and market influence to proactively reshape its organization into a more efficient form. By March 2026, Reuters reported that Meta was still planning further significant staff reductions, with rising AI costs and investments being a key driver.
Amazon is another case. It is far from a collapsing enterprise. On the contrary, Amazon reported a net profit of $21.2 billion in the fourth quarter of 2025, yet it continued with corporate job cuts in January 2026. What does this signify? It means that in this era, layoffs are increasingly less an act of survival and more an act of corporate evolution.
Previously, companies resorted to layoffs when they were on the brink. Now, they may initiate layoffs to redirect funds into models, computing power, automated processes, and new organizational structures. Layoffs once meant decline. Now, they can signal that a company has decided certain roles are no longer worth maintaining.
This is the genuinely uncomfortable part. It's not that the company is failing and therefore doesn't need you. It's that the company is doing fine, yet still concludes you are not cost-effective. The gaming industry is merely one of the first sectors to feel this shift acutely.
Looking overseas, NetEase is not the first company entangled in this narrative. In January of this year, game company Playtika laid off approximately 15% of its staff. Media reports citing an internal CEO memo stated the company aimed to shift from a model reliant on large teams to leaner teams driven by AI and automation. This statement was remarkably direct, almost explicitly linking "AI-driven efficiency" with "workforce reduction."
Square Enix's situation was less explicit. It did not publicly state that layoffs were "due to AI," but while implementing overseas business restructuring and job cuts, it simultaneously announced a goal for generative AI to handle about 70% of its QA and debugging work by the end of 2027. Considering these actions together, the signal is hard to miss: the gaming industry is entering a phase where restructuring layoffs and increased AI automation are happening concurrently.
Why is the gaming industry feeling the pain first? Because it inherently contains numerous procedural, repetitive, and divisible tasks: quality assurance, testing, certain art assistance, basic copywriting, localization, operational asset creation, and debugging. These roles were first outsourced, then taken over by lower-cost teams, and are now being further compressed by AI and automation tools. Put more bluntly: previously, the adversary for these jobs was another, cheaper human. Now, they face competition from a cheaper system.
So, did Ding Lei do something wrong? Framing the question as a moral judgment leads to a tedious answer. From an employee's emotional perspective, some will undoubtedly view it as冷酷. From a corporate management standpoint, he may not be wrong, and might simply be among the first to acknowledge a new reality. The fundamental change underway is not in the values of any single executive, but in how the entire business world calculates human value.
Historically, a company assessed an individual's value primarily based on two factors: your ability to perform tasks, and whether you performed them better than someone else. In the future, this equation will incorporate two harsher variables: your ability to work effectively alongside AI, and whether replacing you with AI and fewer people would yield a cheaper outcome.
This is the truth many have yet to fully grasp: future job seeking will not solely be about proving "I am better than others." It will also require proving that "I am not in the position most easily devalued by technology." This is not a matter of motivational rhetoric; it is a matter of pricing.
Your value will no longer be determined solely by your capability, but also by the cost of replacing you. Your competition will no longer be limited to peers, colleagues, and new graduates; it will include models, automated processes, and an increasingly sophisticated chain of AI tools. This is what should truly concern the average person. The primary fear is not whether AI will take jobs outright, but that from now on, many roles will first experience collective devaluation before potentially being replaced.
What is truly ending is not merely a round of layoffs, but an old consensus: the belief that as long as the company is profitable, employees can generally share in the growth. The future could well see the rise of a new type of company: one with higher revenue, thicker profits, a more expensive valuation, and a stronger stock price, but with fewer employees. And this "reduction" would not be a short-term contraction, a cyclical fluctuation, or a passive response to hardship. It would be the intended, normalized state.
Therefore, the question "Did Ding Lei do something wrong?" misses the point. The issue does not fundamentally lie with Ding Lei. He appears more as someone who has arrived at the threshold sooner than many Chinese companies. Written on the other side of that door is a very stark new reality: as AI enhances efficiency, the first thing to be repriced is not the product, but the person. For the vast majority of ordinary people, the real challenge may not be opposing this trend, but quickly figuring out one thing: when a company no longer primarily needs you to work hard, but needs you to be irreplaceable, what exactly will you use to prove that you should not be replaced?
Comments