New Delhi . After the entry of AI, all the companies around the world started focusing on this technology. However, a latest report to this case has made shocking revelations. Companies are placing a big bet on AI, but even after this, almost all enterprises of Enterprises are still in the early stages.
MIT has released the Genai Divide: State of Ai in Business 2025 report. It states that Enterprises have placed a big bet on generative AI, but the start of rapid revenue does not seem to be successful.
That is, after the arrival of AI, companies felt that their revenue would grow rapidly, but this did not happen. Even after integrating powerful new models, only about 5 percent AI pilots programs have been successful. Companies have shown a boom in adopting AI, but not more companies have benefited from it.
Why AI Integration is failing?
The reason for this is due to lack of eternal expedition, poor integration and special adoption. After the arrival of this report, questions are arising whether the condition of AI industry will be like a bubble. For the past several years, people were being told that AI tools like Chatgpt, Claude and Gemini could change the way the workplace works.
From automated content creation to customer service chatbot, it was being speculated in every sector that AI would reduce the cost in the coming days and increase the productivity. But there is a lot of difference between the perception of the people in MIT’s research and the outbreak of businesses.
Only 30 percent work will be able to do AI
It has been found in the Test that advance AI models can handle only 30 percent office task with the handle. Human beings will have to do further work. However, people will definitely get benefit of AI tools at individual level.
MIT’s study has found that the reason for the failure of AI adoption at the enterprise level is the learning gap. Companies are rapidly implementing AI, but most did not invest these tools according to their own. These tools have been prepared on large LLMS, which are not made to meet special needs.