From AI Experiments to AI Infrastructure: How Atul Kumar Is Thinking About the Next Generation of Intelligent Systems
Artificial intelligence is moving into a new phase. The early excitement was largely about what generative AI could produce, including conversations, images, software and automated content. As businesses begin incorporating AI into products, operations and decision making, the more important question is becoming whether these systems can be trusted to work in the real world. This is an area that has increasingly shaped the work of Atul Kumar, a product and innovation architect whose work spans enterprise AI, intelligent automation, AI powered manufacturing and emerging agentic systems. Rather than focusing only on increasingly capable models, Kumar's work looks at the wider environment required to make AI useful, dependable and responsible in practice.
This perspective is evident in Kumar's technical writing for platforms including HackerNoon and DZone. In The Hardest Part of AI Isn't the Model Anymore, he examines issues such as evaluation, memory, monitoring, cost and governance, arguing that an AI system cannot be considered reliable simply because its answers appear convincing. His work also explores the rise of AI agents and AI workers, where systems are beginning to move beyond answering questions and toward performing tasks. This development raises broader questions for organisations around permissions, accountability and human oversight. Kumar has approached these issues as part of the changing relationship between AI and the workplace.
