Arpan Shah on AI Agents, Venture Capital, and the Future of Knowledge Work
Technovation with Peter High (CIO, CTO, CDO, CXO Interviews)Show Notes
Artificial intelligence is changing how knowledge work gets done, and AI agents may be the next major leap.
In this episode of Technoventure, Peter High speaks with Arpan Shah, General Partner at Spark Capital, about how AI is reshaping research, investing, software development, and enterprise productivity. Arpan shares how he uses AI agents to accelerate diligence, synthesize information, and expand his own capacity as an investor, while also exploring the future of AI infrastructure, model competition, security, and stablecoins.
Key topics include:
How AI agents are transforming knowledge work
Why AI demand may outpace compute supply for years
The evolution of token economics and enterprise AI adoption
Security challenges created by increasingly capable AI systems
How stablecoins could reshape global financial infrastructure
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.