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India leads global AI maturity, report finds
India, China and the US lead the scores, while the UK, Japan, and the Netherlands lag in areas such as investment, training, and supplier engagement, the report notes.
FILE PHOTO: Figurines with computers and smartphones are seen in front of the words / REUTERS/Dado Ruvic/Illustration
Indian businesses are among the most receptive in the world for Artificial Intelligence (AI) integration, a new report by British Standards Institution (BSI) has found.
According to the International AI Maturity Model published by BSI India is the most AI-mature market, scoring 4.58, followed by China at 4.25, and the United States at 4.0.
The report was complied by surveying 932 business leaders across nine countries and seven sectors. Metrics included attitudes and actions related to investment, training, communications, and safety. “On all measures, China and India led the way, with the US in third place, followed by Australia,” the report stated.
It found a significant gap between the perceived necessity of AI and the concrete steps being taken. While 76 percent of international business leaders believe failing to invest in AI will result in a competitive disadvantage, 30 percent feel their businesses are not investing enough in AI tools.
The report also found that only 44 percent of businesses have an AI strategy, with lower percentages in the Netherlands (28 percent) and Japan (21 percent), and higher in the US (54 percent) and China (60 percent). While 93 percent globally recognize the importance of an ethical approach to AI, only 29 percent are aware of significant moves by their businesses to implement such policies.
AI engagement varies globally, with US (59 percent) and German (55 percent) leaders prioritizing employee involvement in AI tool testing, compared to only 31 percent in the UK. Similarly, 66 percent of US business leaders prioritize informing employees about AI use, whereas only 24 percent in Japan and 36 percent in the Netherlands do the same.
BSI CEO Susan Taylor Martin emphasized the importance of trust in AI’s future. " While the Model shows diverging paths thus far on AI, its mass adoption and integration into work and life is a marathon, not a sprint. Success is not about being first, but about building trust,” she said.
The research highlights the importance of long-term strategies, cross-border collaboration, and moving from intention to action to build trust in AI.
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