India ranks first in adoption of GenAI across Asia-Pacific: Deloitte India

The report said that GenAI could significantly affect 17 per cent of working hours across the Asia Pacific, amounting to almost 1.1 billion work hours annually

According to a report by Deloitte India released on Thursday, India leads the Asia-Pacific region in the adoption of Generative Artificial Intelligence (GenAI), with 93 percent of students and 83 percent of employees actively using the technology. However, the report notes that only half of these employees believe their managers are aware of their use of this technology.

The report, titled "Generative AI in the Asia Pacific: Young Employees Lead as Employers Play Catch-Up," is based on a survey of 11,900 individuals across 13 countries. It predicts a dramatic 182 percent increase in daily GenAI usage over the next five years.

GenAI is expected to impact 17 percent of working hours in the Asia-Pacific, translating to approximately 1.1 billion work hours annually. The report highlights that GenAI users in the region save an average of 6.3 hours per week, with Indian users saving even more, approximately 7.85 hours weekly. This additional time reportedly enhances skill acquisition among Indian users.

Furthermore, 86 percent of Indian users of GenAI reported improved productivity, while 83 percent of users across Asia-Pacific felt the technology bolstered their ideation capabilities.

Despite these benefits, the report indicates that many businesses may not be fully leveraging GenAI, with 75 percent of users stating that their organizations lag in adopting the technology. It underscores the necessity to overcome challenges associated with GenAI implementation.

Anjani Kumar, partner (consulting) at Deloitte India, emphasized the need for comprehensive engagement and understanding of AI’s capabilities to fully exploit this transformative technology. "To fully use this transformative technology, it is crucial to address implementation challenges and deepen our understanding of its capabilities. Despite its clear benefits, obstacles such as implementation complexities, risk aversion, and knowledge gaps impede widespread adoption," Kumar stated. He also suggested that leaders should leverage these technologies not only for efficiency gains but to fundamentally redesign business models and processes.