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S1E20 Is Your Data AI-Ready? The Semantic Layer and the Last Mile Problem
Most enterprise AI projects don't fail because of the model. They fail because of data, specifically, the gap between having data and having data an AI can actually understand and act on. This is the…
S1E19 The Forward Deployed Engineer: What the Role Really Means (And What We Should Actually Call It)
Popularized by Palantir, the term "Forward Deployed Engineer" is everywhere right now.But what does it actually mean, and is it even the right label? In Episode 19, the AI, Actually crew digs into…
How to 10x Your Individual Productivity with AI
Most companies are announcing AI strategies and running pilots that go nowhere. Meanwhile, individuals using AI every day are quietly getting 10x leverage on their work, and the gap is widening.The…
S1E17 AI Consulting Isn't Dead, The Hourly Rate Is & And Why POCs Aren't Enough
Every week, someone declares that AI will make consultants obsolete. What we actually see is AI breathing new life into consulting, with practically every model maker teaming up with consulting firms…
S1E16 Will Vibe Coding Kill Software Engineering?
Every week, someone declares that vibe coding will kill software development. Every week, they're wrong — but not for the reasons most people think.The real story isn't about job loss. It's about an…
How Businesses Can Actually Get Started with AI
Enterprise AI adoption is accelerating — but most organizations are still stuck debating tools like ChatGPT while a smaller group is deploying AI agents that operate like digital colleagues.The gap…
Autonomous Agents in the Enterprise and How AI is Disrupting SaaS
Artificial intelligence has crossed a major threshold. AI is no longer confined to answering questions in a chat window. It's sending emails, scheduling meetings, moving data between systems, and…
Building Software 10x Faster with AI: A Real-World Walkthrough
What happens when AI coding agents enter the development process? AnswerRocket's team built a production-ready CRM in just four weeks, showing what's possible with next-generation software…
AgentOps: Why Keeping AI Agents Running Is Harder Than Building Them
As enterprises deploy AI agents into production, a new operational challenge emerges: how do you monitor and maintain systems that don't fail with error codes, but instead drift subtly away from…
Open AI’s Playbook for Scaling AI, Why Generalists Are Winning, and Revenue-Driven ROI
The old IT playbook is officially dead. Quarterly release cycles, endless approval committees, and throwing requirements over the wall? None of that works when AI models evolve every few weeks. In…
Google's Gemini 3 Breakthrough and Bold AI Predictions for 2026
The race for AI dominance just shifted. Google's Gemini 3 launch was a coordinated ecosystem play that could reshape how enterprises think about AI infrastructure. In this episode, Pete Reilly sits…
What’s Actually Working in Enterprise AI: Business Value, Success Predictors, and Agent Ops
Are most AI projects really failing, or are we just too early to judge? In this episode, we cut through the headlines to talk about what's actually happening with enterprise AI adoption. Our team…
The Decade of the Agent, Enterprise AI Reality, and Why Waiting Will Cost You
Andrej Karpathy just dropped a reality check: 2025 isn't the "year of the agent,” it's the decade of the agent. But does that mean enterprises should hit pause on their AI initiatives? Not even…
OpenAI Dev Day Reactions and What It Takes to Get Agents in Production
OpenAI's Dev Day dropped some major announcements this month, but is AgentKit really revolutionary or just another "me too!" moment? The AI, Actually crew shares their reactions to the latest OpenAI…
Breaking Down Nate B. Jones' 6 Engineering Principles for AI Agents
Tired of AI agents that forget context mid-conversation or drift subtly off course in production? You're not alone. In this episode, the AI, Actually crew unpacks six critical engineering principles…
The $10T AI Opportunity, Forward Deployed Engineers, Year of the Agent Check-In, and Replit Agent 3
Sequoia says AI is a $10 trillion opportunity. But how do you actually capture it? In this episode, the AI, Actually crew tackles the gap between AI's promise and its practical deployment in the…
Kimi, Shadow AI, Machine Learning vs. LLMs, Prompt vs. Context Engineering, and Local Models
The AI Actually crew tackles the pressing concerns keeping enterprise leaders up at night: shadow AI infiltrating organizations, the crucial distinction between machine learning and LLMs, and why…
AI Pilot Failures, Agent Disruption, and the AI Talent War
The MIT study claiming 95% of AI pilots fail has everyone talking—but what's really behind these failures? In this episode, the AI, Actually crew tackles the hard truths about why enterprises…
Why 95% of AI Pilots Fail, Building Effective Agents, Computer Use, and MCP
Is your enterprise AI pilot part of the 95% that's failing? MIT's latest research just confirmed what many suspected: almost all enterprise AI initiatives are floundering. In this episode, we dig…
Vibe Coding, Enterprise AI Struggles, and GPT-5
Is your company's AI strategy stuck in the sandbox? You're not alone. Despite the endless hype, many large companies are finding their AI projects are stuck in the experimental stage. In this…
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AI, Actually has published 20 episodes since August 2025, covering topics in Business, Technology.
AI, Actually is currently highly active with new episodes every 2 weeks. Average episode length is 42m.
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