#bigtechai

In this video, we talk about how AI augmentation helping humans in industries like healthcare, finance, and education. Instead of replacing people, AI works alongside human expertise to improve decisions and increase productivity. 2025 wasn't just about smarter models—it was about an entire ecosystem evolving around us. Developer toolkits matured, Big Tech made billion-dollar bets, and AI went from experiment to production infrastructure across every major industry. In this episode, Mac Goswami and Sam Dey break down what actually happened: the frameworks that made AI development accessible, Google vs. Microsoft vs. Meta's strategic plays, and how healthcare, finance, education, and creative industries are being transformed—with appropriate guardrails.

2025 wasn’t just the year AI models got smarter—it was the year the entire ecosystem finally snapped into place. In this episode, Mac Goswami and Sam Dave break down what actually happened: the frameworks that made AI development accessible, Google vs. Microsoft vs. Meta's strategic plays, and how healthcare, finance, education, and creative industries are being transformed—with appropriate guardrails. What we cover: ► The maturation of AI dev platforms (Vercel AI SDK, LangChain, LlamaIndex) that compress weeks of work into hours ► Vector databases and RAG frameworks hitting production readiness ► Why observability tools became the most underrated development of 2025 ► Google's aggressive Gemini push, Microsoft's Copilot-as-platform strategy, and Meta's open-source gambit with Llama ► Amazon's infrastructure play and the GPU vs. TPU battle heating up ► Healthcare AI: diagnostics, drug discovery, and clinical documentation (with human oversight) ► Finance applications: fraud detection, portfolio analysis, and compliance reporting ► The EdTech dilemma: AI literacy vs. academic integrity ► Startup survival strategies when Big Tech enters every space ► 2026 predictions: multimodal integration, on-device AI, and continued consolidation Key insight: AI moved from experimentation to production at scale. The augmentation pattern won over the replacement narrative—across every industry, successful AI applications enhanced human expertise rather than replacing it.