ÜBER DIESE EPISODE
Steven Sinofsky, Aaron Levie, and Martin Casado join MTS to discuss the widening gap between Silicon Valley and enterprise AI adoption, why agents should be treated more like humans than software, and what headless SaaS means for the future of work.
--
Brought to you by:
Granola - The AI notepad. Try it once and never go back. https://granola.ai/mts
Kong - The AI connectivity platform. Connect APIs, LLMs, agents, and systems with serious security and governance. https://konghq.com
Blitzy - Autonomous software development for enterprise codebases. Ship 5x faster. https://blitzy.com
Merge - OpenAI, Dropbox, and Ramp use Merge to connect thousands of agents and tools to build AI right. https://merge.dev/mts
AdQuick - Make your brand a billboard. Out-of-home advertising as easy to scale as digital. https://adquick.com
Macroscope - AI codebase understanding for engineering leaders. https://macroscope.com/mts
MTS is a live news and interview show covering technology, business, politics, and culture as it happens.
X | https://twitter.com/MTSlive
YouTube | https://www.youtube.com/@mtsituation
Spotify | https://open.spotify.com/show/4HUNNmV1pjV7CW6Lphm1rM
Apple | https://podcasts.apple.com/us/podcast/mts/id1891088763
Substack | https://mtslive.substack.com/
--
Timestamps:
(00:00) Introduction
(00:23) The gap between Silicon Valley engineering and general enterprise knowledge work
(03:55) Challenges of centralizing AI projects in large organizations vs. secular trends
(08:19) Architectural shifts: Integrating AI into products vs. viewing AI as a user/agent
(10:41) Integration hurdles: Permission sets, legacy data systems, and human context
(15:16) Role of systems integrators (SIs) and change management in enterprise AI deployment
(19:23) The "End-to-End" argument: Treating AI agents as employees rather than software
(23:34) Salesforce's move toward headless software and new agentic business models
(37:49) How agentic workflows improve underlying scaffolding and end-user products
(40:54) The productivity trap: Creating more entropy and "fake productive" work through AI
(50:13) Optimism on jobs: Why increased complexity and software creation drive hiring
--
Note: This podcast is not investment, legal, or tax advice, and is intended for informational and entertainment purposes only. Hosts and guests may hold positions in the companies and securities discussed; do your own research before acting on anything you hear
