Gartner analysts believe that the use of generative AI models in companies will decline due to the copyright issue.

Generative AI is increasingly being used in many companies to relieve employees of repetitive tasks. Although this is widely accepted, the coin also has a downside. Gartner predicts that the copyright aspect of AI models will slow the adoption of AI models and lead to lower returns.

Copyright issue

Generative AI models are trained on the basis of large amounts of data. This data comes from the Internet and is often the work of others. They have rarely given permission to use their work to train AI models. For example, the American New York Times recently filed a complaint against OpenAI for using copyrighted material.

According to Gartner, companies will move to a preemptive approach to protecting their copyrighted works, which will cost AI companies more time and money. This slows down the adoption of new AI technology and results in lower returns.

Own language models

In addition to adopting existing AI models, many companies are starting to develop their own AI models. Gartner predicts that by 2028, more than 50 percent of companies that have developed their own language models will abandon them due to cost, complexity and technical debt.

Gartner also predicts that by 2027, 60 percent of companies will fail to realize the expected value of their AI use cases due to inconsistent ethical governance frameworks. Executives will not consider ethics when moving forward with AI. They will then broadcast this to their employees. “Organizations must translate principles into practical policies; People won’t adopt it if D&A leaders don’t do it,” said Rita Sallam, Distinguished VP Analyst at Gartner. “Find influential allies to make governance a strategic business driver and make ethics a clear priority in the governance discussion.”