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Recently, MIT has conducted a research where they found out that only 5% of businesses are successfully using AI whereas about 95% businesses are failing to get ROI. 80% explored, 40% deployment rate, 20% reach pilot stage and only 5% have reached the production level where they are actually producing something to generate revenue.
Here's why:
• Learning Gap — Most of the AI tools can't remember or improve over time, so they stay shallow and fail to give service.
• Generic vs. Custom Tools — Tools like ChatGPT thrive, but custom enterprise versions often feel misaligned with workflows.
• Shadow AI Use — Employees use personal AI tools, bypassing enterprise systems, creating security and integration issues.
• Investment Bias — 70% of budgets go to marketing (easy wins), while high-ROI areas like operations remain underfunded.
• High adoption, low transformation — The rate of adopting AI is high, but giving a proper training and actually making those AI do some real work related with the fundamental is really rare because of lack of skill.
• Industries Late Approval — The main industries where AI is being used widely are media, telecom, and tech industry. On the other hand, majority of the industries are not willing to use or integrated AI into their business. The main reason for this is the apathy of business owners. And it will take time.
