Justin S.
Partner & Co-Founder at Remix Partners
Key Insights from Justin S.
The jagged frontier, where AI outperforms in some tasks but fails in others, and its capabilities are continuously in flux.
CEOs must be direct users of AI tools. Think of learning AI like learning to ride a bike: no amount of theory substitutes for falling, getting back up, and finally figuring it out.
Three paths to integrating AI: technique (low lift), jig (custom tool), tool (enterprise software).
AI won’t replace your team—but it will reshape how they work, buying back time for creative, strategic pursuits.
Notable Quotes from Justin S.
"Model monogamy might be holding your business back."
"Everything works with everything—your choice of AI no longer depends on your office suite."
"Tackle AI resistance by creating culture, confidence, and clarity."
"The fast fashion era of SaaS is very soon."
Frequently Asked Questions about Justin S.
How can SMBs prioritize AI investments without getting overwhelmed by hype?
Justin recommends the AI Opportunity Matrix, plotting capabilities by business differentiation importance and AI disruption risk. Identify bottlenecks like repetitive tasks or missed opportunities, then map to high-value areas. Start with low-lift 'techniques' using frontier models like Claude or ChatGPT before custom 'jigs' or enterprise 'tools.' Develop model fluency across providers—avoid monogamy—and experiment hands-on. At Remix Partners, they maintain multi-model subscriptions (~$250/month/person) for optimal task matching, emphasizing ROI through time savings and opportunity creation over cost-cutting alone. Governance evolves across creation, operation, and application layers, with legal involvement. [AI for SMBs](https://aiforsmbs.remixpartners.ai)
What is the 'jagged frontier' in AI and why does it matter?
Coined by Justin, the 'jagged frontier' describes AI's uneven capabilities—excelling in some areas while failing unpredictably in others, with constant flux. Unlike productized AI that trims edges for consistency, frontier models offer power but require governance. Leaders must test edges regularly to track evolution, prioritizing where AI augments differentiation. This mindset shifts from hype to pragmatic strategy, as Justin advises in podcasts: use models promiscuously, prototype rapidly, and abstract task-level wins to systems. [S2G Podcast](https://www.youtube.com/watch?v=60zGY0JPkfw)
How has Justin's experience at IDEO and Food Genius shaped his AI approach?
At Food Genius, Justin scaled data analytics to $150MM+ sales impact post-US Foods acquisition, teaching data-business alignment. At IDEO, he integrated data science via Datascope acquisition, exceeding revenue 30% with perfect retention, blending design and tech. These inform Remix's GenAI focus: strategy-proficiency-planning-guidance. He teaches at Illinois Tech, publishes weekly insights, and boards nonprofits/VCs, ensuring real-world grounding. [LinkedIn](https://www.linkedin.com/in/justinmassa)
What role does ethics and governance play in enterprise AI adoption?
Justin outlines three layers: creation (model training), operation (deployment), application (business use)—each needing evolving policies. Legal teams must engage, especially application-level, as capabilities shift. Build AI-first cultures via change management, pilots, and roadmaps. Remix provides ongoing market intel and reviews to filter noise, ensuring ethical, impactful scaling. [IDEO U](https://www.ideou.com/blogs/inspiration/how-to-invest-in-ai-for-your-business)
Justin S. — Areas of Expertise
- Generative AI Strategy
- AI for SMBs
- Design Thinking & Data Science
- Business Transformation
- Innovation Consulting
- Venture Design
- AI-driven strategies
Justin S. — Show Appearances
- Mornings in the Lab (2025-05-09)
Justin S. — Signal Brief
Signal Score: 21/100
Generated 2026-04-16T01:26:37.809Z