ai AI disruptive innovation

πŸ’Ό Introduction

We investigate the potential implications of Generative Pre-trained Transformer (GPT) models and related technologies on the U.S. labor market. Using a new rubric, we assess occupations based on their correspondence with GPT capabilities, incorporating both human expertise and classifications from GPT-4. Our findings indicate that approximately 80% of the U.S. workforce could have at least 10% of their work tasks affected by the introduction of GPTs, while around 19% of workers may see at least 50% of their tasks impacted. The influence spans all wage levels, with higher-income jobs potentially facing greater exposure. Notably, the impact is not limited to industries with higher recent productivity growth. We conclude that Generative Pre-trained Transformers exhibit characteristics of general-purpose technologies (GPTs), suggesting that as these models could have notable economic, social, and policy implications.


πŸ“ˆ List of professions that AI cannot replace

πŸ“ˆ Top 10 Emerging IT.

  1. Data Analysts and Scientists
  2. AI and Machine Learning Specialists
  3. General and Operations Managers
  4. Software and Applications Developers and Analysts
  5. Sales and Marketing Professionals
  6. Big Data Specialists
  7. Digital Transformation Specialists
  8. New Technology Specialists
  9. Organisational Development Specialists
  10. Information Technology Services

πŸ“ˆ Top 30 Emerging.

  1. Therapists: Empathy and human connection are crucial for mental health counseling, which AI cannot fully replicate.
  2. Social workers: Addressing complex social and emotional issues requires deep understanding of human experiences.
  3. Early childhood educators: Young children need human interaction for cognitive, social, and emotional development.
  4. Nurses: Human empathy, adaptability, and judgment are essential for patient care
  5. Artists: Creativity, emotion, and personal expression are uniquely human traits.
  6. Writers: AI cannot replicate the nuances of human experience or convey emotions as effectively.
  7. Chefs: AI cannot fully understand the complexities of taste, texture, and presentation in creating unique culinary experiences.
  8. Hairstylists: Personal style, creativity, and client relationships are vital to success in this industry.
  9. Personal trainers: Motivation and understanding individual needs are key, requiring human interaction.
  10. Event planners: Creativity, problem-solving, and people skills are essential for successful event planning.
  11. Construction workers: Manual labor, adaptability, and on-site problem-solving are difficult to fully automate.
  12. Occupational therapists: Treatment plans require a deep understanding of human physiology and personal circumstances.
  13. Archaeologists: Interpretation of historical context and cultural nuances requires human analysis.
  14. Marine biologists: Fieldwork, ecological understanding, and adaptability to dynamic environments are difficult for AI to replicate.
  15. Ethicists: Moral reasoning, cultural understanding, and empathy are essential for ethical decision-making.
  16. Diplomats: Human judgment, cultural sensitivity, and relationship-building are critical in diplomacy.
  17. Clergy: Spiritual guidance and counseling require a deep understanding of religious and personal beliefs.
  18. Electricians: Troubleshooting and adaptability to unique situations are necessary skills for this job.
  19. Plumbers: Problem-solving and hands-on skills are crucial and difficult to automate.
  20. Small business owners: Entrepreneurship involves creativity, innovation, and personal risk-taking.
  21. Architects: Designing buildings requires creativity, understanding human needs, and the ability to adapt to unique constraints.
  22. Veterinarians: Medical care for animals requires empathy, diagnostic skills, and adaptability to different species.
  23. Coaches: Motivating athletes and understanding individual needs requires human connection and leadership.
  24. Landscape architects: Designing outdoor spaces involves creativity, human preferences, and environmental awareness.
  25. Urban planners: Long-term planning for cities requires understanding human needs local culture, and sustainability goals.
  26. Musicians: Live performances and emotional connection with the audience are crucial for musicians.
  27. Actors: Conveying emotions and embodying characters are uniquely human abilities.
  28. Scientists: AI can assist with data analysis, but human curiosity and intuition drive scientific discovery.
  29. Lawyers: Complex legal issues require human judgment, interpretation, and advocacy skills.
  30. Judges: Applying the law to unique cases requires empathy, ethical reasoning, and human judgment.

πŸ“‰ List of professions that AI can replace

πŸ“‰ Top 20 Declining: here is a chart of 20 jobs that GPT-4 can potentially replace, along with the human traits.

being replaced:

JobHuman trait replaced
Data Entry ClerkSpeed and Accuracy
Customer Service RepresentativeCommunication and Empathy
ProofreaderAttention to Detail
ParalegalResearch and Organization
BookkeeperMathematical Skills
TranslatorLanguage Proficiency
CopywriterCreativity and Writing
Market Research AnalystAnalytical Skills
Social Media ManagerContent Creation and Curation
Appointment SchedulerTime Management
TelemarketerPersuasion and Communication
Virtual AssistantMultitasking and Organization
TranscriptionistListening and Typing Skills
News ReporterFact-checking and Writing
Travel AgentPlanning and Coordination
TutorKnowledge and Teaching
Technical Support AnalystTroubleshooting and Problem-solving
Email MarketerWriting and Targeting
Content ModeratorCritical Thinking and Judgment
RecruiterInterviewing and Assessment

Generative AI use cases


🧠 AI leaders to watch

One way to find out where AI is heading: follow the money. Here’s our analysis of the AI application providers attracting the most attention and funding.

What are the hottest use cases for AI? And which business activities is it most likely to disrupt?

One way to gauge that is to look at which application providers entered the year with the most momentum. These are companies offering solutions for specific—sometimes very specific—corporate or consumer activities, rather than big foundation model players like OpenAI, Google DeepMind, or Anthropic.   

Below, we highlight 24 companies to watch in 2024, including 15 “must-know” leaders that already have gained customer traction and market support and 9 “emerging disrupters” that are attracting investor attention and market recognition in this rapidly evolving space. (For more on our selection, see the Methodology section.)

Company Application type Funding round Total funding Category
Adept AI Enterprise operations Series B $415,000,000 Must-know
AssemblyAI Audio and language Series C $158,120,000 Must-know
Captions Multimedia Series B $40,000,000 Emerging
Character.ai Character building Series A $150,000,000 Must-know
Cresta Customer experience Series C $151,000,000 Must-know
Descript Multimedia Series C $100,000,000 Must-know
ElevenLabs Audio and language Series B $101,000,000 Emerging
Glean Enterprise operations Series D $358,200,000 Must-know
Harvey Industry: Legal Series B $106,000,000 Must-know
Hippocratic AI Industry: Healthcare Series A $118,000,000 Emerging
Inworld AI Industry: Gaming Series A $125,700,000 Emerging
Jasper Marketing and sales Series A $131,000,000 Must-know
Luma AI Multimedia Series B $68,500,000 Emerging
Magic Code development Series B $145,125,000 Emerging
Midjourney Multimedia N/A Self-funded Must-know
Observe.AI Customer experience Series C $214,020,000 Must-know
Perplexity AI Consumer search Series B $165,300,000 Emerging
Replit Code development Series B $222,020,000 Must-know
Runway Multimedia Series C $236,500,000 Must-know
Synthesia Multimedia Series C $156,600,000 Must-know
Tabnine Code development Series B $57,050,000 Emerging
Tome Marketing and sales Series B $75,300,000 Must-know
Typeface Marketing and sales Series B $165,000,000 Emerging
Writer Workflow automation Series B $126,000,000 Must-know
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