In 2025, the focus is on Agentic AI, the next big thing after generative AI, which is set to transform the way we work and live. Microsoft chief Satya Nadella recently discussed how AI is entering a new phase, moving beyond admiration of its capabilities to actually implementing bold initiatives.
Nadella highlighted how agentic AI will revolutionize businesses. At the same time, Nvidia CEO Jensen Huang, at CES 2025, also emphasized the importance of intelligent AI agents that can work across various sectors. Tech giants like Salesforce, Google, and IBM are all talking about agentic AI and its potential.
Despite the rapid progress in AI innovation, many companies are not fully prepared to adopt these technologies. According to a recent EY India report, only 15% of enterprises have implemented generative AI in production, with 34% completing proof of concepts and 11% in the process of implementing successful POCs. The report also states that 36% of organizations have not even started experimenting with AI, highlighting the early stage of adoption.
To become AI-ready, organizations must have a solid AI strategy, a strong data foundation, optimal infrastructure, skilled talent, and a governance framework in place. IBM’s APAC AI Outlook 2025 report shows that Indian businesses expect AI to drive innovation, revenue generation, cost savings, and increased employee productivity.
While companies are still struggling to choose the right AI tools, employees are already investing in generative AI apps for personal productivity. AI analyst Kashyap Kompella suggests focusing on a few key tools that suit your specific needs, rather than getting overwhelmed by the vast number of choices available. By leveraging the right tools, individuals can significantly enhance their productivity in various tasks such as coding, app development, and video production.
Overall, the shift towards agentic AI signifies a new era in artificial intelligence, with the potential to revolutionize industries and processes. It is essential for organizations to assess their readiness for AI adoption and collaborate with technology partners to identify high-impact use cases and integrate AI seamlessly into their workflows.
