The news of Agentic AI adoption surging, with 58% of India's Global Capability Centres (GCCs) moving beyond mere experimentation, fills me with a familiar sense of validation, and perhaps a touch of unease [https://cio.economictimes.indiatimes.com/etnewsletter.php]. It is striking how the conversations I initiated years ago about the pervasive nature of artificial intelligence and its impact on our lives are now unfolding as concrete realities.
I recall my writings from 2017, where I pondered how technology, particularly AI, would dispose of our notions of privacy. In "Seeing AI through Google Glass ?" [http://emailothers.blogspot.com/2017/07/re-for-attn-shri-sadanand-gowdaji_25.html], I vividly imagined a future where devices like Google Glass would not just record, but interpret, read emotions, and listen to every word, making personal information inherently public. I even cited Eric Schmidt (Email: ) and Jared Cohen (Email: jared.cohen@gs.com) from Google, who, in their 2013 book "The New Digital Age," had already predicted the impossibility of controlling what others capture and share. This current surge in Agentic AI adoption is a direct evolution of that foresight.
Agentic AI systems, by their very design, are meant to take initiative and make decisions autonomously. This is precisely what I was anticipating when I discussed how our devices and appliances would increasingly take over decisions in our lives, simply by observing us 24/7. Whether it was a refrigerator ordering food based on eating habits or a self-driving car knowing your details after saving your life, the core idea was that AI would act on information gathered, often without explicit permission [http://emailothers.blogspot.com/2017/07/re-for-attn-shri-sadanand-gowdaji.html].
The debate between [Elon Musk]() (Email: ) and Mark Zuckerberg (Email: ), which I reflected upon in "Artificial Intelligence : Destroyer of Privacy ?" [http://emailothers.blogspot.com/2017/07/re-for-attn-shri-sadanand-gowdaji_26.html], highlighted these divergent views on AI's future. While Zuckerberg envisioned an AI assistant like Jarvis learning from daily interactions to enhance life, Musk warned of its dangers. The reality of Agentic AI in GCCs today leans heavily into the scenario of AI accumulating, filtering, and analyzing human intelligence on a massive scale. This isn't just about surveillance anymore; it's about systems acting on that data, autonomously driving business processes.
When I wrote "Privacy does not live here !" [http://emailothers.blogspot.com/2017/07/privacy-does-not-live-here.html], I listed an extensive array of personal information that technology would inevitably collect and share. Agentic AI, with its capacity to execute tasks based on learned patterns and data, accelerates this trend. The fact that India GCCs are now operationalizing these systems beyond experimental stages indicates a profound shift [https://fr.linkedin.com/company/analytics-india-magazine]. This isn't just theory anymore; it's operational strategy, further blurring the lines of what we once considered private. The challenge, as I pointed out years ago in "Supreme may Propose : Technology will Dispose" [http://emailothers.blogspot.com/2017/07/re-for-attn-shri-sadanand-gowdaji_25.html], is not whether we can stop this, but how we adapt and perhaps even embrace this inevitable march of technology [https://cio.economictimes.indiatimes.com/news/corporate-news].
Regards,
Hemen Parekh
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