Hosted by AnswerRocket · 🇺🇸 US · EN · 21 episodes
Established thought leaders with verified media credentials.
Tired of the AI hype? So are we. Welcome to AI, Actually: the podcast that cuts through the noise and gets real about how artificial intelligence can work for your business. In each episode, our resident AI and business transformation experts–along with occasional industry guests–hold a candid, jargon-free conversation on what it takes to get actual value from AI.Join us as we tackle topics like: the real difference between the latest LLM models, why generic AI can't make sense of your messy company data, how to get your GenAI use case off the ground, and what the rise of AI agents means for your business. This is your practical playbook for putting AI to work. No PhD required.AI, Actually is produced by AnswerRocket. Since 2013, our enterprise AI solutions have helped Fortune 500 companies achieve measurable results through their AI transformations. This podcast is where we share what we’ve learned.
AnswerRocket hosts AI, Actually, a business show with 21 episodes published.
The token bills are arriving, and a lot of teams do not like what they see. Halfway through 2026, the promise of cheap, abundant intelligence is colliding with enterprise reality. Behind the headlines about new models an
Everyone is waiting for the next model to make their AI problems disappear. The teams getting real value already figured out the model was never the hard part. In this episode, the crew reacts to Nate B. Jones and his ar
Everyone is waiting for the next model to make their AI problems disappear. The teams getting real value already figured out the model was never the hard part. In this episode, the crew reacts to Nate B. Jones and his ar
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 last mile problem, a
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 one of the hottest buzz
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 real story isn't abou
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 for delivery support
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 explosion in softwar
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 between experimentati
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 operating with its own c
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 development. In this episode, P
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 expected performance? In
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 this episode, Pete Reil
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 down with Andy Sweet,
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 tackles the disconnect b
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 close. In this episode, th
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 releases, and digs in
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 for building reliable
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 enterprise. From bold pre
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 context engineering matt
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AI, Actually is hosted by AnswerRocket. The show is categorised under business (technology) and has published 21 episodes.
AI, Actually has published 21 episodes.
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