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Decoding the Future Workforce: How AI and Language Models are Reshaping Employment Opportunities

6/3/2023

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As we stand on the cusp of a new era in technological innovation, the transformative power of artificial intelligence (AI) and large language models has become increasingly apparent. These advancements have captivated the world’s imagination, evoking excitement, apprehension, and hope. In this rapidly shifting landscape, it is essential to understand how these technologies will impact our professional lives and reshape employment opportunities in the coming years.

This article projects industries that are poised to flourish as well as those that may experience job losses due to AI, highlighting high-growth job titles and those facing potential decline. By decoding the future workforce, we aim to empower individuals with the knowledge needed to adapt and thrive in an AI-driven world.


Industries likely to increase employment due to AI and large language models:
  1. Healthcare and Biotechnology: Personalized medicine, telemedicine, drug discovery, and diagnostics
  2. Renewable Energy and Smart Grids: AI-driven energy management, grid optimization, and advanced materials
  3. Cybersecurity: Adaptive security measures, threat prediction, and anomaly detection
  4. Data Science and Analytics: Advanced data analysis, visualization, and decision-making support
  5. Autonomous Vehicles and Transportation: Self-driving cars, smart traffic management systems, and vehicle maintenance
  6. EdTech: Personalized learning paths, immersive technologies for training/education, and content generation
  7. Robotics and Automation: Intelligent manufacturing processes, automated warehousing/logistics systems
  8. Smart Cities Infrastructure: IoT-based urban management systems (waste management, public safety)
  9. Entertainment Media & Gaming: AI-generated content (movies/music), virtual reality experiences/games
  10. Customer Support & Service Optimization: Chatbots for customer service/support tasks

Industries likely to lose jobs due to AI and large language models:
  1. Traditional Manufacturing: Assembly line workers replaced by automation/robotics technology
  2. Retail Trade (brick-and-mortar): Sales clerks replaced by e-commerce/chatbots/automated kiosks
  3. Administrative Support Services (repetitive tasks): Data entry clerks/accounting technicians outsourced/replaced by AI solutions
  4. Call Centers & Telemarketing Services: Reduced workforce due to chatbot/customer service automation
  5. Banking & Finance (routine tasks): Tellers replaced by ATMs/digital banking platforms; basic financial analysts replaced by robo-advisors
  6. Transportation & Warehousing (manual labor): Delivery drivers/manual laborers displaced by autonomous vehicles/drones/robots 7- Agriculture & Farming (low-skilled jobs): Fieldworkers replaced by agricultural drones/sensor-based technologies
  7. Hospitality/Tourism (entry-level jobs): Front desk clerks replaced by automated check-in systems; basic concierge services replaced by AI chatbots
  8. Print Media & Journalism: Traditional publishers/editors decline in demand due to AI-generated content/news
  9. Legal Services (repetitive tasks): Para-legal professionals losing job prospects due to advanced AI document processing

Top ten job titles with highest growth due to AI and large language models:
  1. Data Scientists & Machine Learning Engineers
  2. AI/ML Researchers
  3. Cybersecurity Analysts/Engineers
  4. Bioinformatics Specialists/Data Analysts
  5. Robotics Engineers/Mechatronics Engineer
  6. Artificial Intelligence Ethicists/Policy Advisors
  7. AR/VR Developers and Designers
  8. Autonomous Vehicle System Engineers
  9. Smart City Planners/IoT Specialists
  10. User Experience (UX) Designers for AI Applications

​Top ten job titles with highest job loss due to AI and large language models:
  1. Assembly Line Workers (factory/manufacturing)
  2. Retail Salespersons/Cashiers
  3. Data Entry Clerks/Administrative Assistants
  4. Call Center Representatives/Telemarketers
  5. Bank Tellers/Routine Financial Analysts
  6. Drivers/Warehouse Workers (manual labor)
  7. Fieldworkers/Agricultural Laborers (low-skilled)
  8. Hotel Front Desk Clerks/Basic Concierges
  9. Newspaper Publishers/Journalists/Editiors(Print media)
  10. Paralegals/Legal Assistants
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    “Margi has been recognized as one of the Top Career Transition Coaches by Coach Foundation.”

    "I help individuals, families, and organizations navigate complicated career transitions and build strengths-based careers."

    -- Margi Williams, MSIOP, CPC

    Author

    Margi is a certified Career Strategist who’s privileged to partner with candidates navigating complicated career transitions.
     
    Amid an historic economic recession, she built a career management boutique from the ground up, empowering thousands of candidates to thrive in a competitive labor market since 2010. With personal experience navigating an unexpected corporate restructuring, she actively cultivates strategic partnerships that build and strengthen the talent space.
     
    Combining training in psychological theory and assessment with a passion for career development and operational excellence, she designs and mobilizes talent mobility methods and frameworks that improve job satisfaction, worker engagement, and organizational performance.
     
    With a Master of Science in Industrial/Organizational Psychology and Bachelor of Business Administration, she's collaborated with highly renowned job boards and outplacement firms like CareerBuilder, Careerminds, iHire, Impact Group, Indeed, RiseSmart, and the White Hawk Group.
     
    She maintains active memberships with the Society of Industrial and Organizational Psychology (SIOP), National Career Development Association (NCDA), and Career Thought Leaders Consortium (CTL). 

    View my profile on LinkedIn

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