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How we restructured Airtable’s entire org for AI | Howie Liu (co-founder and CEO)
Duration: 01:40:41
August 31, 2025
- Howie Lou describes a shift towards CEOs becoming individual contributors again, diving into code and product details to navigate the rapid changes and paradigm shifts brought on by AI, particularly to remain relevant.
- Air Table has reorganized into "fast thinking" and "slow thinking" groups to accelerate AI investments; The former ships rapid new capabilities while the latter focuses on deliberate, premeditated bets such as infrastructure and scaling.
- Lou emphasizes that success in the AI era requires upskilling across product, engineering, and design roles, and he encourages his team to "play" with AI products to get a sense of what's possible, experiment, and iterate with shorter timelines.
Inside the little-known expert network quietly training every frontier AI model | Garrett Lord (Handshake CEO)
Duration: 01:09:50
August 24, 2025
- Handshake's new AI data labeling business is experiencing explosive growth, leveraging their existing network of students and alumni to provide high-quality training data to frontier AI labs.
- The key to Handshake's competitive advantage in AI data labeling is their access to a highly engaged and expert audience, enabling targeted recruitment and higher-quality data compared to traditional methods.
- Companies should consider how AI may unlock new opportunities to leverage existing assets, as Handshake's AI data business is disrupting not only the AI ecosystem, but their decade-old core recruiting business as well.
How Intercom rose from the ashes by betting everything on AI | Eoghan McCabe (founder and CEO)
Duration: 01:23:20
August 21, 2025
- Intercom successfully pivoted from a late-stage SaaS business to an AI-first company with its AI agent, Finn, experiencing rapid growth and significant market success, driven by the necessity to disrupt themselves before being disrupted.
- The company's transformation required a shift to a wartime company mindset, embracing significant cultural changes, aggressive cost-cutting, and a top-down, founder-led approach, resulting in substantial employee turnover and initial internal resistance.
- The speaker predicts agents will expand far beyond CX taking over repetitive and mechanical tasks along with the need to work harder by hiring AI natives and learning to code from them.
Why ChatGPT will be the next big growth channel (and how to capitalize on it) | Brian Balfour (Reforge)
Duration: 01:29:11
August 17, 2025
- Brian predicts a new distribution platform, likely centered around Chat GPT, will emerge in the next six months, offering a growth opportunity for companies.
- Incumbents can copy ideas faster, orgainc distribution has declined, and AI has increased the competition, but companies can get escape velocity faster than before if they can get on to emerging distribution platforms quickly.
- Companies need to play the new distribution game by placing focused bets and integrating with platforms like Chat GPT while anticipating the inevitable closure and monetization phase to strategically exit before it's too late.
The one question that saves product careers | Matt LeMay
Duration: 01:32:09
August 14, 2025
- More product managers are being laid off due to teams doing "work around the work," emphasizing the need to focus on opportunities with real business impact.
- Many product teams fall into a "low impact PM death spiral" by adding minor features, making the product complicated and making it harder to build anything of high impact.
- Individual product teams can become "impact-first" by setting team goals close to company goals, keeping impact a priority at every step, and connecting every bit of work to measurable impact.
How ChatGPT accidentally became the fastest-growing product in history | Nick Turley (Head of ChatGPT at OpenAI)
Duration: 01:35:38
August 9, 2025
- ChatGPT's immense success originated from a hackathon project, evolving from internal testing to widespread adoption after Sam Altman's tweet, showcasing the importance of unexpected opportunities and rapid deployment.
- OpenAI envisions ChatGPT evolving beyond a simple chatbot into a highly personalized "AI in your pocket", designed to understand user goals, take action, and build long-term relationships, aiming to eventually assist with various tasks across different aspects of life.
- Key to ChatGPT's rapid growth and high retention is a product development approach where the model ITSELF is treated as the product, necessitating continuous improvement based on user cases, and integrating new capabilities like search and personalization.
He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more
Duration: 01:28:57
July 31, 2025
- Bret Taylor believes the AI market is evolving towards agent-based business models, where agents are the new app, automating tasks and driving productivity gains.
- A key to success across various executive roles is embracing a flexible professional identity and focusing on maximizing impact by strategically prioritizing the most important tasks each day.
- While AI is transforming software development, understanding computer science principles remains crucial for effectively managing code-generating machines and ensuring system-level robustness, necessitating a shift toward more verifiable and context-aware programming systems.
Pricing your AI product: Lessons from 400+ companies and 50 unicorns | Madhavan Ramanujam
Duration: 01:11:43
July 27, 2025
- A core thesis of the book is that enduring businesses must master both market share and wallet share, requiring equal attention to acquisition, monetization, and retention strategies.
- Common founder traps include disruptors not expanding and focusing too much on acquisition while moneymakers nickel and dime customers or set prices too high, and community builders train customers to expect more for less.
- In AI, pricing models should prioritize capturing the value provided, especially given the measurable impact on labor budgets, with a shift toward outcome-based models offering the greatest pricing power.
Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann
Duration: 01:14:59
July 20, 2025
- Anthropic is less affected by current AI researcher recruiting wars because their employees are mission-oriented, choosing to impact the future of humanity over simply making money at companies like Meta.
- Scaling laws are accelerating, not plateauing, with more frequent model releases and saturation of existing benchmarks requiring new, more ambitious challenges to reveal continued progress in AI intelligence.
- Achieving safe and aligned superintelligence requires prioritizing safety research alongside AI development to ensure the AI understands and acts in accordance with human values, mitigating potential X-risks that could have existential consequences.
The AI-native startup: 5 products, 7-figure revenue, 100% AI-written code | Dan Shipper (co-founder/CEO of Every)
Duration: 01:34:57
July 17, 2025
- Dan Shipper believes AI will ultimately reshore American jobs, making US-based workers more cost-effective by leveraging AI tools for enhanced productivity.
- Shipper advocates for non-coders to embrace cloud code and similar tools, enabling them to process and analyze local files extensively without the limitations of traditional chat interfaces, ultimately delegating tasks to AI agents.
- Shipper measures AGI by the 'leash' an agent can operate independently profitably, suggesting true AGI arrives when AI agents run continuously and autonomously, requiring minimal intervention due to economic viability.