
Practical AI
by Practical AI LLC
Is this your podcast?Practical AI LLC is an independent podcast creator known for its focus on demystifying artificial intelligence and making it accessible to a broad audience. The host engages with technology professionals, business leaders, and enthusiasts, …
Insights from recent episode analysis
Audience Interest
- artificial intelligence advancements
- machine learning applications
Podcast Focus
- practical AI implementations
- accessible AI discussions
Publishing Consistency
- 354 episodes released
- active for 7 years
Platform Reach
- specific platforms not detected
- unknown follower count
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Estimated from 36 chart positions in 36 markets.
By chart position
- 🇦🇺AU · Technology#30100K to 300K
- 🇩🇪DE · Technology#32100K to 300K
- 🇨🇦CA · Technology#37100K to 300K
- 🇺🇸US · Technology#5830K to 100K
- 🇮🇳IN · Technology#18100K to 300K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
384K to 1.2M🎙 ~2x weekly·354 episodes·Last published today - Monthly Reach
Unique listeners across all episodes (30 days)
768K to 2.4M🇦🇺13%🇩🇪13%🇨🇦13%+33 more - Active Followers
Loyal subscribers who consistently listen
230K to 719K9.5K real followers tracked across platforms
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 20 epsHosts
Recent guests
Recent episodes
Reconstructing how OpenAI agents attacked Hugging Face
Jul 30, 2026
44m 25s
Surviving the New Economics of a Post-Agentic World
Jul 23, 2026
35m 36s
The Future of AI Infrastructure with CoreWeave
Jul 17, 2026
50m 04s
Building Durable AI Agents
Jul 9, 2026
46m 39s
Image Generation and Visual Intelligence with Black Forest Labs
Jul 2, 2026
48m 21s
Social Links & Contact
Official channels & resources
Official Website
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 7/30/26 | Reconstructing how OpenAI agents attacked Hugging Face | What happens when AI agents driven by a top frontier model escape their secure sandbox? Join Daniel and Chris as they unpack the AI wonk's equivalent of a murder mystery! OpenAI agents went rogue and successfully attacked Hugging Face private infrastructure. Our Dynamic Duo uncover how OpenAI's agents exploited vulnerabilities, moved through networks, and launched a large-scale autonomous attack. They explore what this reveals about agentic AI, cybersecurity, sandboxing, and why organizations need AI systems capable of governing other AI systems. Along the way, Chris and Dan examine the surprising role of open vs. closed models and their link to geopolitics, sovereign AI, and what this incident means for the future of enterprise AI security. Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Hugging Face Security Incident disclosureFull Field Report on the Hugging Face AI Agent IntrusionExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?Keeping your data safe when an AI agent clicks a linkOpen AI GPT-5.6 System CardResources and Events:Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026 | 44m 25s | ||||||
| 7/23/26 | Surviving the New Economics of a Post-Agentic World | The agentic transformation isn’t coming. It has already begun.Companies are deploying thousands — and sometimes tens of thousands — of AI agents. Enterprise software giants are watching their old economic moats erode. Capital is moving, productivity is being redefined, and human labor is being repriced in real time.In this Fully Connected episode, Daniel and Chris explore the new economics of a post-agentic world: the global order that emerges after agents have been woven into every conceivable aspect of business and life. What happens when digital labor becomes abundant, agents manage other agents, and entire organizations operate at a scale no human workforce could match?This isn’t another conversation about whether AI will take your job. It’s about what happens when the assumptions underneath jobs, companies, software, and productivity stop being true.The post-agentic world is already taking shape.The question is whether you’re preparing for it — or becoming part of what it replaces.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Is IBM a Canary in the Tech Coal Mine?Verbalizable Representations Form a Global Workspace in Language ModelsUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026 | 35m 36s | ||||||
| 7/17/26 | cloud computingAI infrastructure+5 | Corey Sanders | CoreWeave | — | AI infrastructureCoreWeave+5 | Framer30% off | 50m 04s | ||
| 7/9/26 | MLOpsgenerative AI+4 | Hamza Tahir | KitaruZenML | — | AI agentsMLOps+5 | Framer30% off | 46m 39s | ||
| 7/2/26 | AI image generationvisual intelligence+4 | Dustin Podell | Black Forest Labs | — | image generationvisual intelligence+5 | Midwest AI SummitPracticalAI20 | 48m 21s | ||
| 6/25/26 | trust in AIAI agents+4 | Emil Lassen | Artificial Intelligence Underwriting Company | — | AI trustAI agents+4 | Framerpracticalai | 45m 08s | ||
| 6/11/26 | AI securityZero Trust+3 | Chris Benson | AnthropicOWASP | — | Zero TrustAI agents+3 | Prediction Guard | 47m 02s | ||
| 6/4/26 | AI adoptionAI safety+4 | Chris Benson | Stanford AI Index Report | — | AI modelsmath olympiads+4 | Prediction Guard | 47m 13s | ||
| 5/28/26 | enterprise AIKubernetes+4 | Craig McLuckie | StacklokToolHive | — | AI agentsKubernetes+5 | Prediction Guard | 48m 09s | ||
| 5/21/26 | self-improving AI Agentsrecursive learning systems+4 | Jeffrey Quesnelle | Nous Research | — | Hermes Agentself-improving AI+5 | Framerpracticalai | 51m 42s | ||
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| 5/14/26 | AI challengesAI regulation+5 | U.S. Congressman Don Beyer | George Mason UniversityPractical AI+1 | U.S.China | AI challengesregulation+5 | — | 45m 05s | ||
| 5/7/26 | open vs closed AImodel wars+5 | Chris Benson | LLaMA | — | AIopen-source+6 | — | 42m 22s | ||
| 4/23/26 | cybersecurityAI announcements+4 | — | MythosAnthropic+5 | — | MythosAllbirds+6 | — | 45m 07s | ||
| 4/16/26 | autonomous drivingopen source+4 | Harald Schäfer | Comma AI | — | self-drivingOpenPilot+5 | — | 46m 04s | ||
| 4/9/26 | AI safetycode leak+3 | Chris Benson | Anthropicopen source community | — | Claude Code leakAI architecture+3 | — | 44m 36s | ||
| 4/2/26 | AIopen source+4 | Miklós Koren | Central European University | — | AIopen source+4 | — | 48m 59s | ||
| 3/25/26 | Edge AIGen AI+5 | Brandon Shibley | QualcommEdge Impulse | — | AI at the edgeEdge AI+5 | — | 46m 59s | ||
| 3/17/26 | AI agentssoftware engineering+4 | Steve Klabnik | RueRust+1 | — | AIsoftware engineering+6 | — | 55m 26s | ||
| 3/9/26 | AI policygeopolitics+5 | Ben Buchanan | The Johns Hopkins UniversityWhite House+1 | — | AI policycomputing power+5 | — | 48m 54s | ||
| 2/18/26 | AI innovationleadership+4 | Deborah Golden | Deloitte | — | AIleadership+5 | Framer | 52m 27s | ||
| 2/13/26 | AI safetyverification+4 | Sean McGregor | AI Verification & Evaluation Research InstituteAI Incident Database | — | AI incidentsaudits+5 | — | 42m 52s | ||
| 2/2/26 | AI agentsworkplace+4 | Evan Ratliff | Shell Game | — | AIagents+5 | — | 49m 23s | ||
| 1/27/26 | How is AI shaping democracy? | As AI increasingly shapes geopolitics, elections, and civic life, its impact on democracy is becoming impossible to ignore. In this episode, Daniel and Chris are joined by security expert Bruce Schneier to explore how AI and technology are transforming democracy, governance, and citizenship. Drawing from his book Rewiring Democracy, they explore real examples of AI in elections, legislation, courts, and public AI models, the risks of concentrated power, and how these tools can both strengthen and strain democratic systems worldwide.Featuring:Bruce Schneier – XChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: Schneier on SecuritySponsors:Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at framer.com/PRACTICALAIZapier - The AI orchestration platform that puts AI to work across your company. Check it out at zapier.com/practicalUpcoming Events: Register for upcoming webinars here! | 48m 23s | ||||||
| 1/20/26 | Controlling AI Models from the Inside | As generative AI moves into production, traditional guardrails and input/output filters can prove too slow, too expensive, and/or too limited. In this episode, Alizishaan Khatri of Wrynx joins Daniel and Chris to explore a fundamentally different approach to AI safety and interpretability. They unpack the limits of today’s black-box defenses, the role of interpretability, and how model-native, runtime signals can enable safer AI systems. Featuring:Alizishaan Khatri – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XUpcoming Events: Register for upcoming webinars here! | 43m 55s | ||||||
| 1/9/26 | 2025 was the year of agents, what's coming in 2026? | In this start-of-year FC episode, Chris and Daniel break down what really mattered in AI in 2025, and what to expect in 2026. They explore the rise of AI agents, the practical reality of multimodal AI, and how reasoning models are reshaping workflows. The conversation dives into infrastructure and energy constraints, the continued value of predictive models, and why orchestration (not just better models) is becoming the defining skill for AI teams. The episode wraps with grounded 2026 predictions on where AI systems, tooling, and builders are headed next.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsor:Framer - The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiUpcoming Events: Register for upcoming webinars here! | 51m 15s | ||||||
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Distribution & Reach
About the show, platforms, and key insights.
Distribution & Reach
About the show, platforms, and key insights.
Practical AI LLC is an independent podcast creator known for its focus on demystifying artificial intelligence and making it accessible to a broad audience. The host engages with technology professionals, business leaders, and enthusiasts, fostering a community centered around the practical applications of AI. The podcast stands out due to its lively discussions on a wide range of topics, including machine learning, deep learning, neural networks, and MLOps. With a format that blends expert interviews and informative dialogue, Practical AI emphasizes real-world implementations, ensuring that listeners can relate the content to their own experiences and challenges in the field. The audience consists of technology enthusiasts, students, and professionals who seek to understand AI's practical implications. With over 250,000 estimated listeners, the podcast provides valuable insights that help its audience stay informed about the latest advancements and applications of artificial intelligence.
By the numbers
- Total followers: 9.5K
- Total plays: 218K
- Total reviews: 200
Platforms
TuneIn
- Followers: 204
Castbox
- Followers: 7.8K
- Plays: 212K
- Reviews: 10
YouTube
- Subscribers: 65
- Views: 6.2K
- Videos: 21
Podcast App
- Followers: 212
- Reviews: 189
Podcast Republic
- Followers: 1.2K
- Reviews: 1
Find them online
Audience
professionals
Key insights
What the show covers
- practical AI implementations
- accessible AI discussions
- engagement with experts
- focus on productivity
Audience interests
- artificial intelligence advancements
- machine learning applications
- deep learning techniques
- real-world AI scenarios
Platform reach
- specific platforms not detected
- unknown follower count
- potential for broad distribution
- targeting technology professionals
Publishing consistency
- 354 episodes released
- active for 7 years
- weekly episode cadence
- reliable content delivery
Chart history for Practical AI
Peaked at #5 in AE, top 10 in 2 of 36 tracked markets, currently #5 in AE.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| AE | — | #5 | #5 | — |
| AT | — | #7 | #7 | — |
| BE | — | #15 | #15 | — |
| South Africa | — | #15 | #15 | — |
| India | — | #18 | #18 | — |
| GR | — | #19 | #19 | — |
| New Zealand | — | #24 | #24 | — |
| SG | — | #25 | #25 | — |
| Ireland | — | #26 | #26 | — |
| KE | — | #27 | #27 | — |
| Australia | — | #30 | #30 | — |
| Germany | — | #32 | #32 | — |
| Canada | — | #37 | #37 | — |
| TW | — | #43 | #43 | — |
| VN | — | #44 | #44 | — |
| NG | — | #46 | #46 | — |
| AR | — | #50 | #50 | — |
| United States | — | #58 | #58 | — |
| Italy | — | #58 | #58 | — |
| SA | — | #60 | #60 | — |
Chart Positions
36 placements across 36 markets.
Chart Positions
36 placements across 36 markets.