Episode 76: When AI Becomes Software: Lessons from 2025, Expectations for 2026

Episode 76: When AI Becomes Software: Lessons from 2025, Expectations for 2026

2025 was the year AI accelerated everything — code, decisions, delivery, and expectations.

But acceleration came with lessons.

In this episode, we reflect on what actually changed when generative and agentic AI entered real production systems — not demos, not labs, but software that teams had to run, maintain, and be accountable for.

This conversation explores why prompting was never engineering, how autonomy without structure created fragility, why no-code didn’t remove complexity, and what it really means to design AI systems that behave reliably over time.

2026 isn’t about using smarter models or moving faster.
It’s about building AI like software — with constraints, resilience, domain intelligence, and accountability designed in from the start.

If you’re building, deploying, or operating AI systems in the real world, this episode sets the tone for what comes next.

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Episode 93: Physical AI — The Next Frontier for Agentic Systems

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Episode 92: The Intelligence Dependency Problem — A Hidden Risk in Agentic AI

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Episode 91 : The Token Shock — Why Companies Are Running Out of AI Budget

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What happens when organizations discover that their AI budget is disappearing faster than expected?In this episode of Agentic AI: The Future of Intelligence Systems, we take a deep dive into one of th...

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