
Tahir Qureshi
Tahir Qureshi is a senior sub-editor at India.com with an experience of about two decades. He holds a master’s in English literature and a PG (Diploma) in Mass Communication. He has come to online j ... Read More
New Delhi: Artificial Intelligence is in trend, and it will be used in almost every application soon, say the industry news. It is believed that with the advent of this technology, companies and businesses will generate more revenue. But, in reality, the pilot projects of most companies are stuck at the initial stage.
Massachusetts Institute of Technology (MIT) has released a report titled ‘The GenAI Divide: State of AI in Business 2025’, in which shocking facts were put forward. The report shows that even though companies have placed a big bet on generative AI, no major change has been seen in increasing revenue.
According to the report, only 5% of the AI pilot programmes run by companies around the world have been successful. Even after the integration of powerful AI models, companies did not get the expected results, due to which this technology has not been able to prove fully effective now.
Many reasons are being given behind the failure of AI integration, including unrealistic expectations, poor integration and lack of proper adoption. Companies want rapid change, but are not investing enough in the training and research required for this.
In the last few years, it was said that AI tools like ChatGPT, Gemini and Cloud would completely change the workplace. But the report shows that at present, AI can handle only up to 30% of office tasks reliably. The rest of the work will depend on humans.
AI has definitely proved beneficial for companies in areas like automated content creation, customer service chatbots and data analysis. But the dream of reducing costs and increasing productivity on a large scale has not been fulfilled yet.
According to media reports, MIT’s study found that the biggest problem in adopting AI at the enterprise level is the learning gap. Companies implemented AI tools rapidly, but did not invest in customising them according to their needs, due to which the results were weak.
Experts believe that the real benefit of AI will be found only when companies adapt these tools according to their business model. In the coming times, the way of adopting AI will change, and only then will this technology prove to be a real game changer in reducing costs and increasing productivity.
Many reasons are being given behind the failure of AI integration, including unrealistic expectations, poor integration and lack of proper adoption. Companies want rapid change, but are not investing enough in the training and research required for this.
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