Anthropic Pledges 5% Equity to Aid Workers Displaced by AI: When Enterprises Adopt AI, the First to Lose Their Jobs May Not Be Entry-Level Staff, but These Three Groups

When AI leaders begin committing tens of billions of dollars to assist workers displaced by automation, corporate human resources executives must realize: AI-induced unemployment is no longer a sci-fi cautionary tale—it is an imminent labor law reality poised to reshape organizations and trigger complex labor disputes.

On October 18, 2026, AI enterprise Anthropic announced a plan to allocate 5% of its company equity to a newly established public-benefit foundation, with the board authorized to contribute an additional 2% of equity for every subsequent 50% increase in company valuation.

A primary mission of this foundation is to investigate and address the disruption AI creates across the global labor market, building on Anthropic's earlier US$200 million commitment to these initiatives.

While the plan remains subject to shareholder approval, it sends an unmistakable signal:

As AI drives exponential enterprise valuations, who will shoulder the cost borne by the workers it displaces?

For Taiwanese enterprises, the answer cannot simply be cutting a severance check—nor can companies wait until AI tools are actively replacing headcount to hastily decide who to let go.

My counsel to businesses is clear: when restructuring organizations through AI integration, employers must adhere to three foundational principles: identify the causal chain of workforce impact, prioritize the fulfillment of the duty of reassignment, and strictly comply with statutory severance dismissal procedures.

For labor compliance training, delineating reasonable management vs. workplace bullying, grievance handling & investigation simulation workshops, board member continuing education certification, external committee members for workplace bullying and sexual harassment, PIP (Performance Improvement Plan) case simulation workshops, and litigation/mediation representation, please contact: Yesin Law Firm (Tel: +886-2-2515-6822 | Official Website: https://www.yesinlaw.com).

Keywords: Generative AI, AI Automation, AI Agents, AI Workforce Impact Assessment, AI Layoffs, Change in the Nature of Business, Principle of Dismissal as a Measure of Last Resort, Employee Retraining, Internal Transfer and Reassignment, ESG, Corporate Governance Evaluation.

1. Who Is Most Vulnerable to AI Displacement? Not the Lowest-Paid, but Those Whose Work Is Most Readily Standardized

When enterprises adopt generative AI and workflow automation, three categories of personnel will bear the initial brunt of disruption:

Category 1: Administrative Staff in Highly Repetitive Roles

This encompasses procurement assistants, travel coordinators, data entry clerks, accounting and bookkeeping staff, customer service representatives, document controllers, and routine report preparers. When AI Agents can autonomously execute supplier inquiries, price comparisons, ticketing, expense reconciliations, and reporting analytics, a workflow previously requiring five staff members may need only two to supervise the system.

Category 2: Middle Managers Reliant on Information Synthesis and Reporting

This is the most critical and frequently overlooked high-risk group. Historically, middle managers derived significant organizational value from leveraging their extensive experience to synthesize industry intelligence, construct executive slide decks, monitor team KPIs, and cascade directives downward. However, when AI tools can directly process raw operational data and generate actionable strategic recommendations, executive leadership may conclude that fewer intermediate management layers are required. In particular, middle managers aged 45 to 55—who command higher salaries and extensive tenure but lack AI-enabled transition skills—will face intense career transition pressures.

Category 3: Professionals Whose Deliverables Are Readily Quantifiable

This group includes junior software engineers, research analysts, digital marketing strategists, and financial analysts.

However, a vital legal distinction must be emphasized: the fact that AI can automate discrete tasks within a role does not automatically mean the entire position can be eliminated.

The decisive factor is not the worker’s age, but the adaptability of the job architecture, the potential for skill redesign, and whether the enterprise is genuinely committed to providing upskilling opportunities. Above all, employers must never use age as a criterion for downsizing; doing so directly triggers age discrimination liabilities under Article 5 of the Employment Service Act and the Middle-aged and Senior Employment Promotion Act.

2. Job Elimination Driven by AI Does Not Grant Employers the Right to Unilaterally Dismiss Workers

This marks the crucial legal boundary that corporate boards and HR leaders must master.

Article 11, Subparagraph 4 of the Labor Standards Act provides:

An employer may terminate a labor contract with advance notice only when: "A change in the nature of business creates the necessity to reduce the workforce, and no suitable alternative work is available for reassignment."

To satisfy this provision, an employer must simultaneously meet three statutory tests:

1. Substantiate a Genuine "Change in the Nature of Business":

   
   

   A company cannot simply assert: "We deployed AI, so we must cut staff." Employers must produce verifiable, objective documentation—including AI rollout blueprints, before-and-after organizational charts, redesigned process maps, specific task-displacement audits, and workforce demand analyses.

   
   

2. Prove the Operational Necessity of Workforce Reduction:

   
   

   For example, an enterprise must demonstrate that an operational unit of ten, following AI deployment and rigorous empirical assessment, genuinely requires only six. If a company claims a redundancy of personnel while concurrently advertising openings for identical job scopes on recruitment platforms or LinkedIn, the legal legitimacy of the severance will be deeply compromised.

   
   

3. Establish That No Suitable Alternative Work Is Available for Reassignment:

   
   

   Supreme Court precedents consistently hold that an employer must exhaust its statutory duty of reassignment before initiating severance procedures.

   
   

Accordingly, I advise organizations to institute an "AI Transition Reassignment Record"—systematically tracking employee skill inventories, internal vacancies, training feasibility assessments, interview notes, and formal redeployment evaluations. This serves not only as an internal workforce planning tool, but as indispensable legal evidence if a labor dispute arises.

3. Establish a Five-Step Protocol for AI Downsizing to Avoid Exchanging Payroll Savings for Massive Legal Costs

1. Step 1: Conduct an AI Workforce Impact Assessment

   
   

   Assemble a cross-functional task force comprising HR, Legal, IT, and operational business leaders to audit affected positions, clearly distinguishing between "reduced job tasks" and "the genuine elimination of a role."

   
   

2. Step 2: Prioritize Employee Reskilling and Upskilling

   
   

   Provide structured training in AI tool utilization, cross-departmental capabilities, and career redeployment, establishing defined evaluation milestones over a reasonable adaptation timeframe.

   
   

3. Step 3: Execute Internal Transfers and Reassignment

   
   

   To fulfill the statutory duty of reassignment and avoid termination, conduct individualized consultations with impacted workers to develop balanced solutions that harmonize business efficiency, working terms, employee capabilities, and family considerations.

   
   

4. Step 4: Strictly Follow Statutory Dismissal Protocols

   
   

   Only when all statutory criteria under Article 11, Subparagraph 4 of the Labor Standards Act are demonstrably satisfied may severance proceed. Employers must strictly honor the advance notice periods under Article 16, disburse statutory severance pay within 30 days, and file severance notifications at least 10 days in advance pursuant to Article 33 of the Employment Service Act. If headcount thresholds under the Act for Worker Protection of Mass Redundancy are reached, the employer must submit a mass redundancy plan and complete formal notification and consultation procedures well in advance.

   
   

5. Step 5: Institute an AI Transition Employee Support Package

   
   

   Beyond statutory severance, forward-looking enterprises should offer supplemental transition packages, professional outplacement counseling, skill-training stipends, or dedicated internal AI transition grants. This represents not only corporate social responsibility, but an essential investment in mitigating labor disputes and safeguarding employer brand equity.

   
   

Attorney Chen Yeh-hsin's Key Takeaway

The insight Anthropic's 5% equity fund offers business leaders is not that every corporation must set up an identical charitable vehicle. Rather, it is a reminder that enterprises cannot reap the productivity dividends of AI while shifting the entire cost of structural transformation onto their employees.

Boards of directors and executive leadership teams—especially in publicly traded companies—must integrate the human capital impacts of AI transformation into the core of corporate governance, ESG oversight, and risk management.

I consistently remind corporate leaders:

"AI can replace tasks, but it will never replace an employer’s statutory legal duties."

From a legal perspective, the true test of an AI-driven downsizing is not whether the severance pay was calculated correctly, but whether the employer can prove in court that it did everything within its power to avoid termination.

From an operational perspective, the measure of a successful AI transformation is never how many people were cut, but how many employees were successfully transitioned to create higher organizational value.

The next time your executive team convenes to review an AI deployment plan and the CFO presents projected payroll savings, the board should demand an equally rigorous report from the CHRO: How do we intend to reassign and support the workers whose livelihoods will be redefined by AI?