This text discusses the potential impact of AI on the job market, specifically focusing on the economic practicality of using AI for automating tasks in the workplace, with a specific emphasis on computer vision. The study finds that currently, only about 23 percent of wages paid for tasks involving vision are economically viable for AI automation. The research examines the feasibility of AI in automating specific tasks and suggests a more gradual integration of AI into various sectors. It explores the potential reduction in AI system costs and the implications of AI-as-a-Service platforms. The study’s implications extend beyond immediate economic considerations and highlight the need for further research into AI’s scalability and its potential to create new job categories.
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| AI automation | Gradual integration | AI’s integration in various sectors | Cost modeling advancements |
| Feasibility of AI | Meticulous examination | More systematic evaluation of technology adoption | Costs of implementation and maintenance |
| AI as a service | Shift in business model | Democratization of AI access, emergence of new business models | Scalability and wider application |
| New job categories | Shift in job market | Focus on managing, maintaining and improving AI | Automation of certain jobs |
| New business models | Emergence of new models | Adoption of AI for specific tasks, improved productivity | Advances in AI technologies |
| Policy development | Broader societal impacts | Navigating challenges and opportunities presented by AI | Advancements in AI integration |
| Reduced AI costs | Quickened growth | Improved productivity, employment, and living standards | Transformation of business and work practices |