1. AI Computer Vision Technologies Not Yet Economically Viable for US Businesses
2. Identifying Vision Tasks that Could be Automated by AI
3. Cost Comparison Between AI and Human Labor for Vision Tasks
4. Cost-Effectiveness of Automating Vision Tasks using AI
5. Impact of AI Adoption on Job Availability and Earnings
6. Uneven Adoption of AI and Potential Increase in Inequality
7. The Future of Automation and Government Preparation
The study found that AI computer vision technologies are not yet economically viable for most US businesses, with only 8% of businesses having tasks that are cost-effective to automate using AI. The rush to adopt generative AI has already negatively impacted the availability of jobs and earnings of human freelancers, and regions with faster AI adoption have experienced greater job losses. While there is potential for significant automation of human work in the long run, governments need to start preparing for it. As the costs of training and developing AI technologies drop, it is likely that automation and AI will contribute to increasing inequality across firms and workers.
AI technology has the potential to automate vision-related jobs, but currently, it comes with a hefty price tag. The cost of implementing AI for tasks such as image recognition or visual inspection is still too high for many businesses. While the technology continues to advance and become more affordable, for now, the high costs are a barrier to widespread automation of vision-related jobs.