Suri Nuthalapati

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AI‑native startups are scaling faster than ever—some hitting milestones that traditional SaaS firms took years to reach. But things are starting to move even faster. A recent analysis by Stripe suggests AI startups reach $1 million in revenue in about 11.5 months compared with 15 months for the earlier top SaaS models. That velocity comes not just from better algorithms but from a fundamentally different organizational posture. Meanwhile, many legacy firms are still navigating the early stages of adoption—pilots, governance debates, technical debt struggles—and too often fall short of meaningful impact. According to Boston Consulting Group, 74% of companies struggle to derive value from AI, with just 26% achieving scale beyond proof of concept. The Senior Executive AI Think Tank brings together leaders immersed in machine learning, generative AI and enterprise AI applications. Their collective wisdom reveals that competing with AI challengers demands more than tech upgrades—it requires deep structural and cultural shifts. In this article, they explore those shifts and offer actionable strategies for traditional organizations to close the gap.

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The recent release of TIME’s 2025 TIME100 AI list underscores how much attention is focused on foundation models, generative agents and consumer‑facing AI tools. Yet a closer look suggests that many powerful AI applications are still flying under the radar.  That’s where the Senior Executive AI Think Tank comes in—a curated group of experts in machine learning, generative AI and enterprise AI applications who combine technical depth with executive perspective. In this article, they use real-world insight to examine which industries and use cases are underrepresented in lists like TIME’s and explore the biggest AI frontiers that deserve attention now.

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The debut of GPT‑5 has sparked renewed debate among enterprise leaders about how generative AI will drive business innovation. As adoption accelerates—with Gartner estimating that over 80% of enterprises will deploy generative AI applications or APIs by 2026—the question isn’t just what AI can do but how organizations can deploy and orchestrate it effectively. Drawing on their industry experience, members of the Senior Executive AI Think Tank—a curated group of leaders in machine learning, generative AI and enterprise AI applications—offer their first impressions of GPT‑5, their vision for its strategic implications and actionable, strategic guidance for navigating this next wave of innovation.

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As artificial intelligence investment reaches record highs, investors face the challenge of distinguishing between transformative opportunities and market hype. Members of the Senior Executive AI Think Tank reveal where AI delivers immediate returns, which sectors promise long-term value and why the smartest money is flowing toward specialized solutions and infrastructure plays rather than flashy consumer applications.

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The FDA’s new generative AI tool, Elsa, could signal the start of AI-native government operations—streamlining scientific reviews, increasing public transparency, and reshaping how trust is earned in digital-era governance. But as Elsa ushers in new efficiencies, AI leaders warn: Success depends on human oversight, ethical frameworks, and explainable systems.