The future of AI just took a major fork in the road. In this episode, we break down how Apple and Google’s latest announcements at WWDC 25 and I/O 25 reshape the debate between on-device and cloud-based AI.

Apple is going all-in on privacy-first, on-device intelligence, while Google is betting on powerful cloud-augmented AI. Understanding these divergent strategies is crucial for product teams looking to build scalable, cost-efficient, and trustworthy AI-powered experiences.

💡 Key Topics We Cover:
✅ Apple’s on-device LLM, new dev tools, and privacy play
✅ Google’s multimodal Gemini AI, real-time assistants, and XR integrations
✅ Trade-offs in latency, privacy, cost, and tooling across both platforms
✅ Strategic advice for product teams navigating hybrid AI deployments
✅ Koombea’s approach to helping companies make the right AI infrastructure choices

🎙️ Whether you're building mobile apps, AR experiences, or enterprise tools, this episode will help you decide where your AI models should live—and why it matters.

📢 What’s your take? Which approach fits your product needs best? Vote in our poll below! 👇