TL;DL
No time to listen to podcasts? We’ve got you covered. TL;DL (Too Long; Didn't Listen) is a series summarizing takeaways from top thinkers and doers in tech.
ShopeePay CEO on BNPL: why relying on late fees will fail
ShopeePay’s Alain Yee explains why BNPL survival depends on freezing accounts early, not late fees, and why standalone lenders are losing ground.
OpenAI warns building for today will cause technical debt
OpenAI’s Tara Seshan and Nan Yu share why AI teams need shorter planning horizons, rapid prototyping, and real user feedback.
Atlassian CEO on AI teams: why uniform goals destroy ROI
Atlassian’s Mike Cannon-Brookes explains why AI affects teams differently, and why visual software still matters even as AI agents take on more work.
From finishing tasks to driving ROI: A VC product guide
Felicis’ Peter Deng explains why products must solve real customer problems, and how AI is changing how companies hire and evaluate startups.
Why AI video is fine (and how YouTube judges the output)
YouTube CEO Neal Mohan explains why audience choice, not gatekeepers, decides success now, and how creators should approach AI content responsibly.
From cheap AI data to human judgment: A fund manager guide
TIFF Investment Management’s Tom Duffy explains why fund managers need niche expertise, human judgment, and patience as AI commoditizes data.
What connected AI agents mean for the future of B2B sales
SaaStr’s Amelia Ibarra and Jason Lemkin explain how custom AI tools built on past customer data doubled revenue and transformed renewal outreach.
Ex-Discord boss on product: why group consensus is a trap
Former Discord product head Peter Sellis explains how clear ownership, product focus, and restraint can help teams move faster.
How Certis builds employee trust to scale security bots
Certis Group CEO Tian Beng Ng explains why fast AI decisions need human accountability, and why digital employees require the same oversight as staff.
Microsoft CEO on AI safety: why agents are insider risks
Microsoft CEO Satya Nadella explains why AI agents create new security risks, and why avoiding vendor lock-in is key to controlling profit margins.



