Author: TinTinLand
🦞 In early 2026, as the industry raced to embrace OpenClaw’s “Shrimp Farming Guide” as an ultra-powerful work assistant, a wave of layoffs sweeping from North America to Asia showed no signs of slowing. Before the harsh realities of business logic, this lobster “claw” finally turned on colleagues, severing the career aspirations of many young people. So is AI a catalyst for rapid职业 evolution, or an invisible executioner stifling professional imagination?
Meta announces another round of layoffs, with Crypto following suit
Just two weeks ago, tech giant Meta, which recorded annual revenue of $200.966 billion last year, announced plans for a new round of large-scale layoffs, affecting up to 20% or more of its total workforce. On March 19, Crypto.com also announced layoffs, with approximately 180 employees worldwide expected to be impacted—representing 12% of its total staff. This marks the third round of layoffs in the past three to four years, and the rationale this time is not due to market downturn, but rather “restructuring through AI technology adoption.” As major overseas companies相继 announce layoff plans, the underlying cause is no longer primarily a reluctant response to economic challenges, but increasingly a strategic move to deploy AI tools to enhance productivity.
💁🏻 Similarly, according to a Tech Insider data report, the total number of confirmed layoffs in the global tech industry in the first quarter of 2026 reached 45,363, with approximately 9,238 positions explicitly attributed to artificial intelligence and automation, accounting for 20.4%. Concerningly, this layoff trend is accelerating, and the total number of layoffs for the year could exceed 260,000. Below is a partial overview of layoffs by major companies: 👇
- @Block plans to lay off more than 4,000 people, with a reduction rate approaching 50%
- @Gemini has laid off approximately 30% of its staff and is deploying AI tools to improve productivity.
- Crypto.com has laid off 12% of its workforce to advance its enterprise AI transformation.
- The payment tools company Atlassian has announced the layoff of 1,600 employees, representing 10% of its global workforce.
- PIPLabs, the developer of @StoryProtocol, has laid off approximately 10% of its staff to shift focus toward AI intellectual property infrastructure.
OPLabs will lay off 20 employees to streamline operations and reduce coordination costs.
- @AlgoFoundation will lay off 25% of its staff
- Meta is planning large-scale layoffs that could affect more than 20% of employees.
- @krakenfx_ZH is cutting approximately 400 employees, or 15%, and restructuring its leadership team
- @Consensys is laying off 20% of its staff due to macroeconomic conditions and regulatory uncertainty.
Block, a fintech company primarily focused on payment services, sparked considerable controversy in early February when it announced the layoff of approximately 4,000 employees, reducing its workforce from over 10,000 to fewer than 6,000—a decline of nearly 40%. This marked the largest single-wave of layoffs in the AI-related sector to date, fueling anxiety among tech professionals. “When things become this clear, it ignites the fires of resistance,” some remarked. In response, senior executives at Block provided a clear explanation: the layoffs were not due to lack of profitability, but because AI has rendered the company less reliant on human labor.
The career crisis brought by AI is an urgent "everything is happening now" situation
🔭 This approach closely mirrors Salesforce’s layoff logic, where Salesforce stated it aimed to reallocate human resources from repetitive tasks toward AI-related businesses; Block has implemented this even more thoroughly, directly replacing numerous entry-level positions with AI, transforming the company into a lean organization centered around AI. The widespread “right-sizing” across the global tech industry sends a clear signal: AI is not only becoming a helper in human life, but also a challenger to human career survival.
💬 The wave of layoffs by corporate giants brought about by the advanced development of AI technology inevitably brings to mind what @mattshumer_ mentioned in their social media post:
The emergence of each new generation of AI models is not just about better performance, but about transformative leaps in workplace productivity, with update cycles growing ever shorter. "I'm relying on AI more and more, intervening less and less, watching as it takes over tasks I once believed required specialized expertise." We all increasingly feel that, in this era of AI advancing faster than expected, it's no longer a matter of "We'll talk about it in the future"—it's urgent: "Everything is happening now, and you must understand."
👨🏻💻 Analyzing the Layoff Wave:Who Exactly Is AI Replacing?
🤖 Undeniably, the rapid advancement of AI technology is fueling widespread FOMO, and the wave of layoffs, as a delayed correction driven by technological progress, prompts us to reconsider how individuals make career choices and transitions. Professionals are beginning to question whether their roles may be absorbed, and whether basic line jobs should no longer be considered as viable options in job hunting.
🫥 Taking North American tech giant Meta as an example, a 2025 workforce optimization list mentioned shifting from diversified metaverse initiatives to a focused breakthrough in super AI, further strengthening key capabilities such as super model training, cross-modal fusion, and large model architecture iteration, leading to the following three business line adjustments:
Discontinuing the Metaverse business line: Reality Labs department Oculus Studio VR experience designers and senior hardware operations roles with over 3 years of experience → Business transformation
Discontinue AI Infrastructure function line: AI Infrastructure Operations Manager, Technical Operations Department, replaced by top-tier talent due to automation upgrades in the compute scheduling system.
Discontinue R&D business line: Junior researcher at FAIR Lab, focused on traditional AI algorithms → replaced by AI technology
The tasks that LLMs excel at are forcing highly substitutable jobs to the brink.
🧗 It’s not just Meta—companies across industries, including Amazon, Microsoft, Pinterest, and Fiverr, are all pursuing “AI-washing” initiatives to boost efficiency and productivity, systematically phasing out outdated roles, especially those easily replaceable by AI, such as junior coding, human resources, and customer service. Are you aware that your own job might also be heading toward the edge of this AI-driven wave?
📊 On March 5, the U.S. artificial intelligence safety company Anthropic officially released the research report "Labor market impacts of AI: A new measure and early evidence," which no longer estimates what AI could theoretically do, but instead directly analyzes work scenarios from millions of real AI conversations to see what AI is actually doing.
The report mentions a professional ranking list of "observed exposure indicators," with occupations most affected by AI including "computer programmers," "customer service representatives," "data entry clerks," and "market research analysts and marketing specialists"—professions closely tied to the internet and technology industry and characterized by large workforces.
🌪️ The key observation for professions that can be significantly replaced by AI lies in their highly linguistic or structured data tasks, clearly defined operational boundaries, and low dependence on physical perception, emotional communication, or on-site decision-making—features that align closely with the capabilities of AI models. LLMs excel at handling rule-based text and data processing tasks. In contrast, professions relying on physical manipulation, real-time perception, or human interaction are still not fully within AI’s reach.
Finance, media, and logistics—professions affected by AI may exceed expectations.
🌐 Beyond occupational categories such as junior and intermediate computer programmers, which once dominated the list of high-paying jobs, even if you're not in the tech industry, you can't avoid being swept up in this wave of technological change. If your profession has any of the following characteristics, the AI-driven layoff timeline may soon reach your sector:
⚗️ Standardized Q&A, outbound sales, FAQ responses, fixed processes
🧪 Template-based, bulk production, no deep creativity — AI can generate quickly
Mechanical repetition, standardized operations, visual inspection—robots and AI vision fully replace them.
⚗️ Rule review, document generation, process execution — AI can quickly retrieve and compare
⚗️ Standardized code, repeated testing, and templated development can be automatically generated by AI.
💰 Specifically, for example, Kingdee's AI accounting system can automatically handle 85% of accounting tasks, and the Big Four accounting firms have already replaced 30% of entry-level audit roles with RPA. As a result, tasks such as voucher entry, invoice reconciliation, and standardized tax filing performed by junior accountants, tax preparers, and bookkeepers will gradually be replaced by AI, enabling faster execution. Similarly, Tableau AI can automatically generate 70% of routine reports, indirectly leading to the rapid replacement of junior data analysts and data cleaners through AI-driven automated cleaning, labeling, and visualization.
Even for creative roles requiring strong artistic fundamentals—such as content creation and execution positions—there is a new crisis emerging amid the rapid rise of AI-powered tools like ByteDance’s Lingxi, Jimo AI, and Midjourney. The replacement rate for basic roles such as copywriting/SEO editing and product description editing has reached 82%, while the substitution rate for standardized tasks commonly handled by graphic designers—like template-based posters and promotional materials, and basic VI design—is around 70%. Any position that does not require deep empathy and relies heavily on structured, standardized processes is at risk of being gradually replaced by AI—and this replacement is already underway.
In Tesla’s Gigafactory production lines, automation rates have approached 95%, significantly reducing demand for roles in assembly line work and basic quality inspection. Foxconn’s “dark factory” employs robotic arms combined with AI vision technology to achieve welding precision of 0.02mm, rapidly implementing processes such as standardized part assembly, repetitive welding, visual/dimensional quality inspection, and simple material handling. For traditional manufacturing industries, aside from complex decision-making, any task that can be delegated to AI delivers a far superior cost-efficiency ratio compared to manual labor, making this a key direction for future workforce restructuring and optimization.
🧳 Redefine your value,Combat the “career loss” brought by AI
🎫 Within Anthropic’s research report, there’s also a less noticeable set of figures: the entry rate of young people aged 22 to 25 into high-AI-exposure roles has dropped by 14%. Faced with the professional transformation and crisis brought by the AI wave, young people, upon leaving the ivory tower of academia, are now encountering their first entry into the workforce as roles that are “replaceable”—no one has been pushed out, but the door is no longer open to newcomers. Before we have the chance to become experienced professionals and achieve the goal of “outpacing AI,” perhaps we should consider how to leverage today’s technological mindset to secure our ticket to the career红利 of the coming years.
⭐️ The group most at risk of automation is precisely the one least familiar with AI.
So what we need to do is further familiarize ourselves with AI and master it, building irreplaceable technical skills within our professional fields and career opportunities.
Emotion and interpersonal insight: AI has algorithms, but humans have warmth.
🫧 AIGC may simulate language across various production processes, but it still cannot truly understand human emotions—it can generate standardized communication scripts, yet cannot handle complex interpersonal scenarios. Jobs requiring “empathy, active listening, and perspective-taking” should be considered in career planning. Roles such as psychotherapists, high-end sales professionals, and specialized healthcare providers may use AI tools to organize consultation records and generate basic recommendations, but the human element remains essential for building client loyalty through empathetic communication and deep emotional support, leveraging the nuanced skills of human interaction.
Express differentiated thinking and leverage human creativity
🏌️♂️ More and more operators in the internet tech industry are increasingly feeling the threat of AI, yet tools like ChatGPT and Jiyin AI still provide the greatest benefit by rapidly generating drafts, creating images on demand, and streamlining tedious content adaptation processes. Through extensive industry case research and hands-on event execution, human operators continue to refine operational SOPs and methodological insights, addressing the "emotional value" needs of today’s workforce and generating more differentiated, creative ideas that AI cannot conceive.
Moving toward higher-level strategic planning, the core decisions still lie with people.
🗺️ Currently, AI technology demonstrates exceptional strength in handling data and analyzing trends. Even when businesses face opportunities to enter new markets, AI can provide trend insights and recommendations, but the ultimate decision-making responsibility still lies with humans, who must assess risks in light of company strategy, market conditions, and team capabilities. Making sound strategic decisions based on data and experience has become a practical necessity—and is one of the compelling reasons why strategic consulting is a valuable career path for transition and long-term growth.
🐾 A snapshot of the era,How to align the granularity of “AI collaborative coexistence”?
🎙️ The wave of layoffs in the AI era is merely a snapshot of current developments; the core focus of human professional value remains how to skillfully "coexist with AI." Perhaps this crisis is not about elimination, but about reconstruction and differentiation—creativity and substitutability in job roles are evolving simultaneously.
It replaces those who only repeat routine tasks and rewards those who use AI and possess core competencies. For individuals experiencing career disillusionment, it is often those unwilling to change and clinging to outdated skills. AI may not be a job-destroying threat, but rather an efficiency multiplier. Mastering AI and focusing your energy on areas where AI cannot replace human effort is the best strategy—actively embracing change and reshaping your value within it is the key.
☕️ “If you’re sitting at your computer right now, still spending your time taking meeting notes, writing documents, or making PowerPoint presentations, it’s time to start paying attention.”