Author: TinTinLand
🦞 In early 2026, while the industry was immersed in using OpenClaw's "Prawn Farming Guide" as a super assistant for workers, a wave of layoffs sweeping from North America to Asia never stopped. In the face of realistic business logic, this lobster "claw" finally reached out to colleagues and severed the career dreams of many young people. So, is AI an accelerator for rapid career iteration or an invisible executioner strangling career imagination?
Meta Announces New Round of Layoffs, Crypto Follows Suit
Just two weeks ago, tech giant Meta, which had set a record annual revenue of $200.966 billion last year, announced plans for a new large-scale layoff, affecting up to 20% or more of its total workforce; on March 19, Crypto.com also announced layoffs, with about 180 employees globally affected, accounting for 12% of its workforce. As the third round of layoffs in the past three to four years, the reason this time was not a downturn in the market but "AI technology application restructuring"...Overseas giants have successively disclosed layoff plans, but the root cause is no longer an economic "forced move"; instead, it stems from deploying 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 Q1 2026 reached 45,363, with about 9,238 positions explicitly attributed to AI and automation, accounting for 20.4%. Worryingly, this layoff trend is still accelerating, with the annual layoff number potentially exceeding 260,000. Below is a partial list of layoff situations at major enterprises 👇
- @Block plans to lay off over 4,000 people, nearly 50% of its workforce
- @Gemini has laid off about 30% and is deploying AI tools to enhance production efficiency
- @cryptocom has laid off 12%, advancing enterprise-level AI transformation
- Payment tool company Atlassian announced layoffs of 1,600 people, 10% of its global workforce
- @StoryProtocol developer PIPLabs laid off about 10%, shifting to AI intellectual property infrastructure
- OPLabs will lay off 20 people to streamline business and reduce coordination costs
- @AlgoFoundation will lay off 25% of its workforce
- Meta is planning large-scale layoffs, potentially affecting 20%+ more employees
- @krakenfx_ZH cut about 400 employees, 15% of its workforce, and restructured leadership
- @Consensys laid off 20%, citing macroeconomic conditions and regulatory uncertainty
🥽 Among these, the most controversial is the fintech company Block, which announced in early February the layoff of about 4,000 people, reducing its total workforce from 10,000+ to less than 6,000, a drop of nearly 40%, setting a record for the highest number of layoffs in a single AI-related event. This move has sparked tension among tech workers. "When the situation becomes clear, it ignites the flames of resistance." In response, Block's senior management gave a clear explanation: the layoffs are not due to lack of profit but because AI has made so many employees unnecessary.
The Career Crisis Brought by AI Is an Urgent "Happening Now"
🔭 This approach is very similar to the logic behind Salesforce's layoffs. When Salesforce laid off employees, it mentioned reallocating human resources from repetitive work to AI-related business; Block has implemented this action more thoroughly, directly replacing many basic positions with AI, turning the company into a lean organization "centered on AI." The "great slim-down" experienced by the global tech industry sends an important signal: AI has not only become a helper in human life but also a challenger to human career survival.
💬 The wave of layoffs at major enterprises driven by the rapid development of AI technology inevitably reminds one of what @mattshumer_ mentioned in a social media post:
Each new generation of AI models not only performs better but also brings leapfrog improvements in work productivity, with update intervals becoming shorter."I rely on AI more and more, intervene less and less, and眼睁睁 watch it take over tasks I once thought required professional skills."I believe we can all increasingly feel that, in the current rapid development of AI beyond expectations,it is no longer a从容 "let's talk about the future" but an urgent "it's happening now, you must understand."
👨🏻💻 Analyzing the Layoff Wave: Who Is AI Actually Replacing?
🤖 Undeniably, the rapid development of AI technology is催生 a collectively spreading FOMO情绪. As a "belated correction" of technological development, the layoff wave also makes us re-examine how, as the main body, humans make career choices and transitions. Professionals are beginning to wonder if their positions will be merged? Can basic assembly-line work no longer be considered in job hunting?
🫥 Still taking North American tech giant Meta as an example, a 2025岗位调整优化清单 mentioned the need to shift from the多元布局 of the metaverse to超级 AI单点突破, further strengthening key capabilities such as super model training, cross-modal fusion, and large model architecture iteration. Thus, adjustments in the following three business lines emerged:
Eliminate Metaverse Business Line:Oculus studio VR experience designers in the Reality Labs department, senior hardware operation positions with 3+ years of experience → business transformation
Eliminate AI Infrastructure Function Line:AI infrastructure operations managers in the technical operations department, due to automation upgrades in computing power scheduling systems → top talent replacement
Eliminate R&D Business Line:Junior researchers in FAIR labs, positions focused on traditional AI algorithms → AI technology replacement
Work LLMs Excel at Is Pushing Highly Replaceable Positions Toward the Cliff
🧗 These seemingly realistic layoff measures are not unique to Meta. Amazon, Microsoft, Pinterest, Fiverr, and other large and small companies across various industries are exploring optimal paths to enhance human efficiency and productivity through "AI-washing" actions,淘汰传统产能岗位, especially positions easily replaced by AI, such as初级代码编写, human resources, and customer service. So, do you know if the position you are currently in is gradually走向悬崖 in the AI wave?
📊 On March 5, US AI safety company Anthropic officially released a research report"Labor market impacts of AI: A new measure and early evidence". This report no longer estimates what AI can theoretically do but directly analyzes work scenarios from millions of real AI conversations to see what AI is actually doing.
🃏 The report mentions an "observed exposure indicator" occupational ranking list. Those most affected by AI include"computer programmers," "customer service representatives," "data entry clerks," "market research analysts and marketing specialists", and other职业类型 closely related to the internet tech industry with huge employee numbers.
🌪️ The key observation point for these professions being replaceable by AI lies in their task content being highly linguistic or data-structured, with clear operational boundaries, and low reliance on physical perception, emotional communication, or on-site decision-making. This高度匹配 the capability boundaries of AI technology models — LLMs excel at handling text and data processing tasks with clear rules. Professions relying on physical operation, real-time perception, and interpersonal interaction暂时还没办法被 AI 完全“盯上”.
Finance, Media, Logistics: AI-Affected Professions May Exceed Expectations
🌐 Beyond初级计算机程序员 and other职业类目 that once topped the "high-salary professions" list, even if you are not in the tech industry, you will inevitably be swept into this era's technological wave. If your profession has one of the following attributes, then the AI layoff schedule may soon reach this sector:
⚗️ Standardized Q&A, outbound sales calls, FAQ answering, fixed processes
⚗️ Templated, batch production, lacking deep creativity, AI can quickly generate
⚗️ Mechanically repetitive, standardized operations, visual inspection, robots + AI vision comprehensive replacement
⚗️ Rule review, document generation, process execution, AI can quickly retrieve and compare
⚗️ Standardized code, repetitive testing, templated development, AI can automatically generate.
💰 Specifically, for example, Kingdee's AI financial system can automatically complete 85% of accounting processing; the Big Four accounting firms have also used RPA to replace 30% of basic audit positions. Thus, work like voucher entry, invoice review and reconciliation, and fixed-template tax filing done by basic accountants/tax filers/bookkeepers will gradually be replaced by AI and executed faster. Similarly, Tableau AI can automatically generate 70% of常规报表, indirectly leading to the work of junior data analysts/data cleaners being quickly replaced by AI automatic cleaning, labeling, and visualization.
🎨 Even content creation and creative execution positions requiring突出创意 and artistic skills face new crises under the rapid rise of tools like ByteDance's "Lingxi", Jimeng AI, Midjourney, etc. The replacement rate for basic copywriting/SEO editing/product detail editing positions can reach 82%; the replacement rate for templated posters, flyers, and basic VI creation often handled by graphic designers can also reach around 70%. Any position that does not require deep empathy and is highly structured and standardized has the potential to be gradually replaced by AI, and this replacement is already on its way.
🦾 In Tesla's super factory production车间, the automation rate is approaching 95%, with demand for assembly line and basic quality inspection positions significantly reduced; Foxconn's "lights-out factory" uses robotic arms + AI vision technology to achieve welding precision of 0.02mm, quickly implementing processes like standardized parts assembly, repetitive welding, appearance/size quality inspection, and simple material handling. For these traditional industries, apart from complex decision-making, sectors that can be handed over to AI offer a cost-effectiveness return far exceeding traditional manual labor, making them an important direction for future岗位调整 and personnel optimization.
🧳 Reshaping Self-Worth, Saving the "Career Loss" Brought by AI
🎫 Anthropic's research report also contains a less noticeable set of numbers: the入职率 for young people aged 22 to 25 in high AI exposure positions has decreased by 14%. Facing the career transformation and crisis brought by the AI wave, young people, after leaving the象牙塔 of school, now often find their first social收获 to be the career loss of "being replaceable" — no one is kicked out, but the door no longer opens for newcomers. Before even having the chance to become senior employees and achieve the goal of "outrunning AI," perhaps we should think about how to use current technological thinking to secure admission tickets to the career红利 of the next few years.
⭐️ The group facing the highest automation risk is precisely the group most unfamiliar with AI.
Therefore, what we need to do more is familiarize ourselves with AI, master AI, and accumulate technical skills难以被替代 in professional fields and job market opportunities.
Emotional and Interpersonal Insight: AI Has Algorithms, But Humans Have Warmth
🫧 AIGC can perhaps simulate language in various production processes but currently still cannot truly understand human emotions. It can generate standardized communication scripts but cannot handle complex interpersonal scenarios. Work requiring "empathy, listening, and perspective-taking" can be considered for careers. Directions like psychological counselors, high-end sales, professional medical care, etc., can use AI tools to organize consultation records and generate basic suggestions, but作为人的本体 needs to cultivate stickiness with consumers through empathetic communication and deep counseling, leveraging communication skills in interaction.
Differentiated Thinking and Expression, Unleashing Human Creativity
🏌️♂️ More and more operators in the internet tech industry deeply feel the threat of AI. However, the most benefits brought by ChatGPT, Jimeng AI, etc., still lie in quickly generating drafts, producing images on demand, and adapting to platforms in繁复的创作调整流程. As the main body, humans can still沉淀运营 SOP and methodological insights through massive industry case studies and on-site event organization and execution, catering to the "emotional value" of contemporary workers and proposing more differentiated creativity that AI cannot think of.
Moving Towards High-Level Strategic Planning; Core Decisions Still Lie with Humans
🗺️ Currently, AI technology demonstrates extraordinary strength in processing data and analyzing trends. Even in seizing opportunities for expanding into new markets, AI can make trend judgments and suggestions. However, the decision-making主体 still requires humans to bear risks based on company strategy, market environment, and team situation. Making correct strategic decisions based on data and experience becomes a practical need, making strategic consulting a worthy choice for career transition and in-depth job hunting.
🐾 Epitome of the Era, How to Align the Granularity of "AI Synergistic Symbiosis"?
🎙️ The layoff wave in the AI erais merely an epitome of current development. The core direction of human professional value remains how skillfully to "coexist with AI." Perhaps the crisis itself is not about elimination but restructuring and differentiation; the creativity and replaceability of job positions are happening simultaneously.
🎞️ It淘汰的是只会重复劳动的人,奖励的是会用AI、有核心能力的人. For those陷入“职业失落”, they are often the type unwilling to change and clinging to old skills. AI may not be a "job-smashing" career killer but an efficiency amplifier. Familiarizing with AI, mastering AI, and focusing energy on areas AI cannot replace might be the best strategy. Actively embracing change and重塑价值 in change is the core essence.
☕️ "If you are sitting in front of your computer, and your work is still about meeting minutes, writing documents, making PPTs, then you need to start being careful."
