Which jobs are most likely to be laid off in the next ten years and what are the best careers to have in 2035.

Question

Qwen · Answer

Jobs most likely to be eliminated over the next decade are those defined by repetitive, rule-based tasks with low cognitive variability. These roles are vulnerable to automation through artificial intelligence, robotic process automation, and machine learning systems that can replicate human decision-making at scale. Administrative support roles—receptionists, data entry clerks, payroll processors, and basic bookkeeping—are among the first to disappear. Customer service representatives handling routine inquiries via call centers or chatbots will be replaced by AI-driven interfaces capable of natural language understanding and context retention. Basic accounting functions, especially in small firms, will be automated through cloud-based platforms integrating tax compliance, invoicing, and financial reporting.

Call center agents performing scripted responses, insurance claims adjusters processing standard forms, and warehouse workers executing predictable sorting and packing routines face high attrition. Manufacturing line operators in industries relying on fixed assembly sequences are increasingly being replaced by collaborative robots (cobots) that operate with precision and 24/7 uptime. Even some roles in legal support—paralegals conducting document review, contract analysis, and discovery—will see significant reduction as AI tools parse text, flag inconsistencies, and extract relevant clauses faster than humans.

Transportation and logistics jobs are under pressure. Long-haul truck drivers, taxi drivers, and delivery personnel may be displaced by autonomous vehicles. While full deployment is delayed by regulatory and infrastructure hurdles, incremental adoption will erode demand for human-operated transport. Similarly, roles in retail that involve inventory management, checkout operations, and stock replenishment are being absorbed by automated systems using computer vision and predictive analytics.

The decline of these positions is not speculative. It is alread

Grok · Answer

Jobs most likely to be laid off in the next ten years include those vulnerable to automation, AI integration, and economic shifts. These encompass:

- Routine manual labor roles, such as factory assembly workers, warehouse operatives, and truck drivers, due to advancements in robotics and autonomous vehicles.
- Administrative and clerical positions, including data entry clerks, bookkeepers, and secretaries, as AI-driven software handles repetitive tasks more efficiently.
- Customer service and retail jobs, like call center representatives and cashiers, replaced by chatbots, self-service kiosks, and e-commerce platforms.
- Certain transportation and logistics roles, such as pilots for short-haul flights and delivery drivers, amid drone and autonomous system adoption.
- Low-skill professional services, including paralegals, translators, and basic accountants, where AI algorithms perform analysis and processing faster and cheaper.

These predictions stem from trends in technological displacement, with studies from the World Economic Forum and McKinsey indicating that up to 85 million jobs could shift by 2025, escalating through 2034.

Best careers to pursue by 2035 emphasize skills in innovation, adaptability, and human-centric expertise. Focus on:

- AI and machine learning specialists, who design and maintain intelligent systems, driven by demand in sectors like healthcare and finance.
- Data scientists and analysts, who interpret complex datasets for decision-making, as data volume grows exponentially.
- Healthcare professionals, such as nurses, physician assistants, and geriatric specialists, due to aging populations and personalized medicine advancements.
- Renewable energy engineers and sustainability experts, supporting global transitions to green technologies like solar and wind power.
- Cybersecurity experts, protecting digital infrastructure against increasing threats in an interconnected world.
- Creative and interpersonal roles, including therapists, educat

Perplexity · Answer

The jobs most likely to be laid off over the next ten years are those vulnerable to automation, AI integration, digitization, and outsourcing, particularly in sectors already experiencing significant workforce reductions. The best careers to have in 2035 will be those resistant to automation, requiring complex human judgment, creativity, interpersonal skills, and advanced technical expertise in emerging fields.

### Jobs Most Likely to Be Laid Off by 2035

1. **Routine Administrative and Clerical Roles**  
   Positions such as administrative assistants, executive secretaries, clerical staff, printing workers, and certain accounting and auditing roles face high risk due to automation and AI tools that can perform standardized, repetitive tasks more efficiently[3].

2. **Customer Service and Sales Representatives**  
   AI-driven chatbots and automated sales platforms threaten customer service representatives, telemarketers, ticket agents, and sales representatives of services. These roles involve predictable interactions that AI can increasingly handle[2][3].

3. **Manufacturing and Operational Jobs**  
   Manufacturing roles, especially those involving repetitive manual tasks, are being cut due to automation and global competition. UPS’s operational job cuts and facility closures exemplify this trend[3].

4. **Technology Sector Jobs with Routine or Middle Management Tasks**  
   Despite tech being a growth sector, layoffs are occurring in software engineering, IT support, and middle management roles that AI can partially replace or streamline. Companies like Microsoft and Oracle are reducing non-coding and managerial staff to focus on core programming and AI development[1][3][5].

5. **Media, Publishing, and Content Creation Roles**  
   AI tools capable of generating written content, editing, and broadcasting are reducing demand for writers, authors, editors, proofreaders, news analysts, and broadcasters[2][3].

6. **Transportation and Travel-Related Jobs**  
   Pa

Chatgpt · Answer

The job market is influenced by various factors, including technological advancements, economic shifts, and societal changes. Analyzing trends can provide insights into which jobs may be at risk of layoffs in the next decade and which careers are likely to thrive by 2035.

**Jobs Likely to be Laid Off:**

1. **Manufacturing and Assembly Line Jobs:**
   Automation and robotics are increasingly capable of performing tasks traditionally done by humans. Jobs that involve repetitive tasks, such as assembly line work, are particularly vulnerable. As companies invest in technology to improve efficiency, the demand for human labor in these roles will decline.

2. **Retail Positions:**
   The rise of e-commerce has significantly impacted traditional retail jobs. Positions such as cashiers and sales associates are at risk as more consumers opt for online shopping. Retailers are also adopting self-checkout systems and automated inventory management, further reducing the need for human staff.

3. **Administrative Support:**
   Roles such as secretaries, receptionists, and data entry clerks are increasingly being automated through software solutions. As businesses adopt more sophisticated tools for communication and data management, the demand for administrative support will diminish.

4. **Transportation and Delivery:**
   The development of autonomous vehicles poses a significant threat to jobs in transportation, including truck drivers and delivery personnel. As self-driving technology matures, the need for human operators will likely decrease.

5. **Customer Service Representatives:**
   Advances in artificial intelligence and chatbots are transforming customer service. Many companies are implementing automated systems to handle inquiries and complaints, reducing the need for human representatives.

6. **Agricultural Workers:**
   Agricultural technology, including drones and automated harvesting equipment, is changing the landscape of farming. As these technologies become m

Deepseek · Answer

**Job Displacement: Primary Targets (Next 10 Years)**

Displacement is not a function of job titles but of task composition. Roles with a high concentration of predictable, repetitive, and data-processing tasks are most vulnerable. The driver is not a single technology but the integration of AI, robotics, and process automation.

**1. Administrative and Clerical Support**
*   **Roles:** Data Entry Clerks, Bookkeeping Clerks, Administrative Assistants (limited-scope), Receptionists (in standardized environments), Paralegals (for document review).
*   **Rationale:** These roles are hubs for processing structured information. AI can automate data entry, scheduling, invoice processing, and initial document analysis with higher speed and accuracy. The remaining human roles will evolve into managing exceptions, complex communication, and overseeing automated workflows.

**2. Repetitive Production and Manufacturing**
*   **Roles:** Assembly Line Workers, Machine Operators (for predictable tasks), Quality Control Inspectors (visual/measurement), Packers.
*   **Rationale:** Advanced robotics and AI-powered computer vision are achieving greater dexterity and anomaly detection. These systems operate continuously, reducing errors and costs in high-volume, standardized production.

**3. Routine Customer Interaction and Transactional Services**
*   **Roles:** Cashiers, Bank Tellers, Customer Service Representatives (for tier-1 scripted queries), Fast-Food Cooks/Cashiers.
*   **Rationale:** Self-service kiosks, conversational AI for support, and automated payment/ordering systems directly replicate these transactional functions. The economic incentive for businesses to reduce high-volume, low-margin labor is intense.

**4. Middle-Management and Operational Analysis (Structured Domains)**
*   **Roles:** Mid-level managers focused on reporting, compliance, and resource allocation; Entry-level Analysts (financial, market research).
*   **Rationale:** AI excels at synthesizing large d

Gemini · Answer

The analysis of future employment trends requires an assessment of technological advancement, economic shifts, demographic changes, and evolving societal needs. The following identifies jobs susceptible to displacement and careers projected for growth and stability by 2035.

**Jobs Most Susceptible to Displacement by 2035**

Job displacement will primarily affect roles characterized by repetitive, predictable tasks, whether physical or cognitive, that can be automated, algorithmically optimized, or outsourced. The primary drivers are artificial intelligence (AI), advanced robotics, and global economic pressures.

1.  **Repetitive Data Entry and Processing Roles:**
    *   **Examples:** Data entry clerks, transcriptionists, certain administrative assistants, claims processors, basic bookkeeping roles.
    *   **Mechanism of Displacement:** AI and machine learning algorithms excel at pattern recognition, data extraction, and automated input. Optical Character Recognition (OCR) and Natural Language Processing (NLP) can process vast amounts of structured and semi-structured data with higher speed and accuracy than human operators. Robotic Process Automation (RPA) automates rule-based digital tasks.

2.  **Manufacturing and Assembly Line Workers (Predictable Environments):**
    *   **Examples:** Factory workers performing repetitive assembly, welding, painting, or quality control checks in controlled environments.
    *   **Mechanism of Displacement:** Industrial robots and collaborative robots (cobots) are becoming more dexterous, precise, and cost-effective. They can operate continuously, reduce error rates, and handle hazardous materials, leading to increased automation of physical production tasks.

3.  **Transportation and Logistics Operators:**
    *   **Examples:** Truck drivers, taxi drivers, delivery drivers, forklift operators.
    *   **Mechanism of Displacement:** Autonomous vehicle technology is advancing rapidly. Self-driving trucks, cars, and drones are b

Kimi · Answer

Layoff trajectory is driven by cost, error rate, and political friction.  
Anything that is (1) rules-based, (2) screen-mediated, (3) low physical variance, (4) lightly regulated, and (5) already offshore-ready disappears first.  
Anything that is (1) tied to aging demographics, (2) tied to energy re-wiring, (3) tied to semiconductor sovereignty, or (4) tied to planetary-scale risk is funded for a decade regardless of recession.

1. Jobs with ≥70 % head-count reduction by 2034
   1.1 Generalist call-center agent  
       Speech synthesis + retrieval-augmented LLM already beats median human AHT (average handle time) in pilot deployments; cost per seat falls 85 %.  
   1.2 Tier-1 IT support (password, VPN, MFA resets)  
       Same stack as above; zero customer tolerance for hold time accelerates replacement.  
   1.3 Bookkeeping / basic tax prep (Schedule C, 1040EZ, BAS, GST)  
       OCR + ledger API + coded regulation achieves <0.5 % error; CPA sign-off becomes rubber-stamp.  
   1.4 Freight / cargo dispatcher for dry-van and reefer loads  
       Digital freight networks (DFNs) auto-match load to truck; human role shrinks to exception handling (weather, theft), <10 % of today’s head-count.  
   1.5 Paralegal in discovery, contract abstraction, and compliance monitoring  
       Embedding models classify privilege at 98 % recall; law firms billable-hour model forces adoption to protect margin.  
   1.6 Entry-level software test (manual click-through QA)  
       Self-healing test bots + generative UI coverage remove 80 % of offshore test farms.  
   1.7 Retail checkout clerk in non-union jurisdictions  
       Weight-sensor exit gates + phone scan-and-go reduce labor hours 60 %; remaining staff shift to shelf-stocking and loss-prevention.  
   1.8 Securities trading desk support (middle-office reconciliation)  
       T+0 settlement rails and atomic tokenised assets erase reconciliation layer; 50–60 % cut already announced at major banks.  
   1.9 Photo / video edi

Claude · Answer

**Jobs Facing Elimination by 2035**

Administrative and clerical positions will experience the steepest decline. Data entry clerks, receptionists, bookkeepers, and filing clerks face near-complete automation through AI systems that process information faster and more accurately than humans. Bank tellers and cashiers will largely disappear as digital payment systems and automated checkout technology reach universal adoption.

Manufacturing and assembly line workers in standardized production will be replaced by robotic systems with improved dexterity and 24/7 operational capacity. Quality control inspectors will be superseded by computer vision systems that detect defects with microscopic precision.

Transportation workers face systematic displacement. Truck drivers, delivery personnel, and taxi drivers will be eliminated as autonomous vehicle technology matures and regulatory frameworks adapt. Warehouse workers will be replaced by automated sorting and retrieval systems.

Customer service representatives handling routine inquiries will be replaced by advanced chatbots and AI systems capable of resolving complex issues without human intervention. Call center operations will shrink dramatically.

Basic accounting and tax preparation roles will be automated through software that processes financial data and regulatory requirements more efficiently than human practitioners.

**Careers with Highest Demand in 2035**

Healthcare roles requiring human judgment and physical interaction will expand significantly. Nurses, physical therapists, mental health counselors, and specialized medical technicians will see increased demand as aging populations require more care and AI augments rather than replaces human medical decision-making.

Skilled trades will remain essential and grow. Electricians, plumbers, HVAC technicians, and construction workers perform complex problem-solving in unpredictable environments that resist automation. These roles require spatial reasoning, manual

Which jobs are most likely to be laid off in the next ten years and what are the best careers to have in 2035.

Analysis: how 8 AI models compare

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