In this episode of the Thinking Tech series, Samudhra Senthil, enterprise evangelist at ManageEngine, explores a surprising paradox at the heart of modern innovation. Despite publishing more research than ever, the pace of groundbreaking discovery is actually slowing down. From the overwhelming flood of unverified information to the rise of AI tools reshaping how we think and work, this episode unpacks the forces stalling scientific progress. It asks whether artificial intelligence (AI) is the cure or part of the problem. Tune in for a thought-provoking look at how we can balance AI’s efficiency with the deep, curious thinking that drives true innovation.
What you’ll learn:
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Why the pace of innovation is slowing down despite record levels of research output
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How the complexity and volume of modern information is burying potentially disruptive ideas
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What a study of 45 million papers reveals about the declining impact of new research
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How AI tools like Elicit and Perplexity are changing the way researchers work
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The risks of over-relying on AI, from distortions to the erosion of deep, original thinking
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Why AI may be widening the innovation paradox, making iteration easier while stifling true breakthroughs
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How to strike the right balance between AI efficiency and the human curiosity that drives real discovery
