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14 May 2026
AI policy debates, cybersecurity vulnerabilities, economic disruptions, ethical risks, international collaboration, and philosophical questions on AI consciousness and human alignment dominate discussions on balancing innovation with governance and societal impact.
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13 May 2026
A detailed analysis of the enterprise AI market highlights Anthropic's rise, Nvidia's exclusion as a hardware provider, and ongoing volatility without a clear dominant player by mid-2026.
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12 May 2026
AI in software development requires balancing its speed and automation with human accountability for safety and ethics, emphasizing rigorous quality practices, community-driven adoption, critical thinking, and oversight to ensure AI complements rather than replaces human judgment.
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11 May 2026
AI transforms development workflows via tools like Codex, AI-driven CI/CD, and Notion integrations, streamlining tasks, boosting productivity, and enabling collaboration, while addressing challenges like meeting fatigue and promoting spec-driven development for efficient human-AI collaboration.
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Challenges in AI infrastructure focus on strained data centers, energy demands, and cooling systems, emphasizing sustainable energy management, collaboration between hardware/software sectors, and AI-driven optimizations for efficiency and scalability.
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7 May 2026
AI integration into physical systems via embedded tech in retail, manufacturing, and logistics is driven by microelectronics democratizing access, emphasizing infrastructure and edge applications over model types, while navigating challenges in scalability, tooling, and aligning AI with real-world business needs.
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6 May 2026
AI integration in organizations empowers non-technical employees to collaborate on AI initiatives via accessible platforms, fostering innovation through gamified metrics, cross-functional teams, and culture-aligned tools.
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5 May 2026
Integrating AI into enterprises via HTTP calls and existing infrastructure requires balancing language agnosticism, deterministic frameworks like GOAT, Java/Kotlin over Python for reliability, and prioritizing explainability, human oversight, and alignment with business logic over overreliance on AI for simple tasks.
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How I AI, hosted by Claire Vo, interviews and case-studies from people using AI. Released as Audio and Video
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Making artificial intelligence practical, productive and accessible to everyone.
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AI Native Developer, hosted by Guy Podjarny and Simon Maple. Interviews looking at how Software Developers are using AI. Released as Audio and Video.
View episodesEnterprise AI show - was previously The Cloudcast. Episodes available as video on Youtube and full transcript (check show description for link).
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