Brian Halligan, HubSpot co-founder and Sequoia's in-house CEO coach, shares his frameworks for building and scaling tech companies. He details his LOCKS framework for evaluating founders, offers tactical advice on hiring "spiky" talent over consensus picks, and discusses the future of go-to-market strategies in the age of AI.
Euro Beinat (Prosus Group) and Mert Öztekin (Just Eat Takeaway.com) discuss the practical challenges of scaling AI, focusing on developer productivity, the role of AI agents in automating the 'long tail' of tasks, and the critical importance of change management and governance to foster an AI-native culture without stifling innovation.
David Anderson explains his "Value Flywheel Effect" framework, a model for continuous cloud modernization that joins business and technology strategy. He details how creating psychological safety, a robust serverless-first technology strategy, and a focus on system design over code builds the necessary momentum and shared context to harness future technologies like AI effectively.
Bryan Catanzaro, NVIDIA's VP of Applied Deep Learning Research, explains the business rationale behind developing open models like Nemotron. The strategy is twofold: to drive internal systems R&D for future hardware and to support the broader AI ecosystem, which in turn expands NVIDIA's market.
Ethan Mollick, author of "Co-Intelligence", discusses the necessity for US firms to reignite their experimental approach to management to successfully adopt AI. He introduces his "Leadership, Lab, and Crowd" framework for fostering internal innovation and cautions against over-reliance on external consultants and opaque vendor solutions, urging companies to empower their "secret cyborgs" to drive productivity.
In this live podcast episode, a panel of AI founders and investors unpacks the '2026 AI Market Outlook & Playbook.' They share practical strategies for startups to achieve real-world traction, focusing on the shift from experimental AI to outcome-driven agentic systems. Key topics include building multimodal experiences, the importance of a proprietary 'validation layer,' mastering customer pain points for growth, and the ethical responsibility of building the next generation of AI.