Retool CEO David Hsu on Why AI Models Are No Longer the Bottleneck
Technovation with Peter High (CIO, CTO, CDO, CXO Interviews)Show Notes
The smartest AI model may no longer be the biggest constraint on enterprise AI.
In this episode of Technovation, Peter High speaks with Retool Co-Founder and CEO David Hsu about why the next frontier is the “harness” around the model: the context, tools, governance, and human approvals that allow AI to do meaningful work inside an enterprise. David explains why knowledge workers are still too often acting as the API for AI, how enterprises can democratize software development without sacrificing security, and why model flexibility matters as costs and capabilities change rapidly.
The conversation also explores the future of SaaS, the growing cybersecurity implications of AI-generated code, and how David’s background in philosophy shapes his thinking about intelligence itself.
This episode is presented by ElevenLabs — Bringing technology to life. Learn more at elevenlabs.io
More from Technovation with Peter High (CIO, CTO, CDO, CXO Interviews)
AI layered onto a broken process doesn’t fix the process; it just runs it faster. Prakash Kota spent his first 18 months at UKG consolidating two legacy companies into unified CRM, ERP, and data systems before any AI conversation began. Now, as Chief Transformation Officer, he is shifting the question from “what tools can we deploy?” to “what outcome are we trying to reach?” That discipline extends to the customer funnel, where AI-assembled signals travel with a prospect through every handoff, and to sales reps, where an autonomous assistant pushes pre-meeting briefs before a rep has to ask, reclaiming the 40–50% of call-prep time currently spent on research.
The binding constraint on AI adoption is not access to tools. It is the organizational fear and mindset shift required to reimagine work entirely.
Healthcare has accumulated friction that patients have come to accept as normal. Novant Health’s Chief AI Officer is systematically dismantling it.
Most generative AI programs stall at the pilot stage. Zoetis reached 95% computer-based colleague adoption.
The next generation of technology giants may not be built in software. They may be built in factories.