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What if the first three months of 2026 quietly changed the entire trajectory of AI?
In this Season 17 finale of XTraw AI, we step back to examine the biggest global signals shaping artificial intelligence across industries, governments, and technology ecosystems. From the rise of autonomous agents and the intensifying race for compute, to new governance frameworks and evolving AI business models, Q1 2026 revealed how quickly AI is becoming the operating system of modern organizations.
Join us as we unpack the six forces driving the AI landscape and what they mean for leaders, builders, and innovators navigating the next wave of transformation.
In this episode:
• The rise of AI agents and platforms — how AI is moving from chat assistants to workflow automation across enterprises and governments.
• The global race for models, compute, and data — why chips, infrastructure, and long-context models are becoming geopolitical and economic battlegrounds.
• Trust, regulation, and AI economics — from the EU AI Act and model safety frameworks to emerging monetization models shaping the future of AI.
You can reach @Sesh @Manjeet @Lukas @Raghu
Website @ XTraw AI
By Venkata"Raghu Banda"5
11 ratings
What if the first three months of 2026 quietly changed the entire trajectory of AI?
In this Season 17 finale of XTraw AI, we step back to examine the biggest global signals shaping artificial intelligence across industries, governments, and technology ecosystems. From the rise of autonomous agents and the intensifying race for compute, to new governance frameworks and evolving AI business models, Q1 2026 revealed how quickly AI is becoming the operating system of modern organizations.
Join us as we unpack the six forces driving the AI landscape and what they mean for leaders, builders, and innovators navigating the next wave of transformation.
In this episode:
• The rise of AI agents and platforms — how AI is moving from chat assistants to workflow automation across enterprises and governments.
• The global race for models, compute, and data — why chips, infrastructure, and long-context models are becoming geopolitical and economic battlegrounds.
• Trust, regulation, and AI economics — from the EU AI Act and model safety frameworks to emerging monetization models shaping the future of AI.
You can reach @Sesh @Manjeet @Lukas @Raghu
Website @ XTraw AI