With the big buzz around Agentic AI (the next big thing after generative AI), 2025 is certain to be the year that artificial intelligence truly changes the way we work and live. During a recent visit to India, Microsoft CEO Satya Nadella not only praised the capabilities of AI, but also talked about how we are taking the next stage of AI by actually doing something bold and big. We talked about what is going on.
Nadella touched on how agent AI will transform business. Around the same time, at CES 2025, Nvidia CEO Jensen Huang also talked about intelligent AI agents that work across sectors. In fact, every technology company from Salesforce to Google to IBM is developing agent AI, an action-oriented, empowered AI agent capable of performing complex tasks that goes beyond generative AI that primarily focuses on content. I’m talking about.
still in early stages
But while these AI innovations are moving quickly, how prepared are companies to adopt them?
According to a recent report from EY India, even when it comes to generative AI, the needle doesn’t seem to be moving much. It found that only 15 percent of companies surveyed had deployed GenAI in production, 34 percent had completed a proof of concept (POC), and 11 percent had successfully gone live with a POC. He said he was working on it. 8% of those who have experimented with GenAI reported challenges achieving tangible results.
“A significant 36 percent of survey participants have not yet begun experimentation, reflecting the early stages of adoption,” the report notes.
To successfully implement AI, your data must be ready. However, only 3% of companies surveyed said they were ready.
So what does it take for an organization to become AI-ready? Siddhesh Naik, Country Leader, Data and AI Software, IBM India and South Asia. “Based on our discussions with clients across a variety of industries, it is clear that implementing AI is complex as it requires coordinating a variety of factors.”
main elements
“An AI-ready organization must integrate key elements such as a solid AI strategy, strong data foundation, optimal infrastructure, skilled talent, and a governance framework,” Naik explained. I will. Looking ahead, all organizations need to conduct a realistic readiness assessment to accurately identify strengths, weaknesses, and roadblocks. You should then work with your technology partner to identify high-impact use cases, select the right AI tools, and redesign workflows for seamless integration. ”
Naik said the focus on AI is moving from low-risk, non-core use cases to its deployment into core business functions to improve productivity, competitive advantage and return on investment. It says that it is transitioning. According to IBM’s APAC AI Outlook 2025 report, the top areas where Indian businesses expect AI to deliver long-term benefits are innovation (26%), revenue generation (21%) and cost reduction (12%). %) and improved employee productivity. (12 percent).
While organizations are still grappling with purchasing the right AI tools, anecdotal evidence shows that employees are far ahead of the curve by investing in generative AI apps that help them improve their personal productivity. However, as AI analyst Kashyap Kompella points out: “You probably have too many tools, numbering in the thousands. Don’t be confused by the amazing selection. Just take advantage of 3 to 5 tools, depending on the type of work you do, and you’ll be much more productive. You can.”
His recommendation for non-technical generalists is to get one LLM with a premium subscription to ChatGPT. It comes with several built-in tools such as Dall-e for basic image generation. Other useful tools include Fireflies for note-taking and summarization of online meetings, MacWhisper (on Mac) for audio transcription, GPTZero (useful for editors) for AI-written text detection, and Online Surveys /Perplexity for research summaries and more.
Certain tasks like coding, app development, video development, etc. have precise and dedicated tools.
