He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more
1. Prioritize High-Impact Tasks Daily
Every morning, ask yourself what is the most impactful thing you can do today to maximize the likelihood of achieving your goals, even if it’s something you don’t initially enjoy.
2. Maintain Flexible Founder Identity
As a founder, cultivate a flexible view of your identity, allowing yourself to transform into whatever role the company needs you to be at any given time, from selling to engineering.
3. Practice Intellectual Honesty in Problem Diagnosis
When diagnosing problems (e.g., losing a deal), maintain intellectual honesty to uncover the true root cause, rather than accepting surface-level explanations that might be misleading.
4. Question Solutions Aligned with Your Strengths
Be self-aware that you might subconsciously favor solutions that align with your personal strengths; by default, question if your ‘superpower’ is truly the best solution or if it’s chosen out of comfort.
5. Understand the “Why” Behind Advice
When receiving advice, repeatedly ask ‘why’ to understand the underlying framework and experiences informing the counsel, allowing you to apply it with nuance rather than as a rigid rule.
6. Reflect to Improve Judgment
After making a bad decision, dedicate time to reflect on it, understand the ‘why,’ and continuously work to improve your judgment, as this is crucial for entrepreneurial and product management success.
7. Solicit Diverse External Advice
Actively seek advice from a diverse range of people outside your immediate circle to gain broader perspectives and identify potential blind spots in your strategy.
8. Discern Advice Quality from Confidence
Recognize that the confidence with which someone delivers advice does not correlate with its quality; exercise good judgment to evaluate the substance of the advice.
9. Create Differentiated Product Experiences
Avoid simply creating a better copy of an existing product; instead, aim to build an entirely new, compelling, and differentiated experience to increase your chances of success.
10. Reimagine, Don’t Just Digitize
When developing new products with new technologies, disassemble existing concepts and reassemble them into an entirely new experience, rather than just digitizing what came before, to create meaningful breakthroughs.
11. Design Systems for Uncontrolled Input
When designing products, especially those with user-generated content, focus on creating systems that can produce a delightful experience even with messy, uncontrolled input.
12. Add “Sizzle” to Your Product
Incorporate elements that, while not the core value, create excitement and viral moments, acting as ‘sizzle to the steak’ to attract widespread attention.
13. Distinguish Initial Use from Enduring Value
When designing products, understand the difference between why users initially decide to use it and what provides its enduring value, as these are related but distinct.
14. Learn Systems Thinking via Computer Science
Study computer science to develop strong systems thinking, which is crucial for operating code-generating AI machines and solving complex problems at scale, even as the act of coding evolves.
15. Maintain Loose Attachment to Job Methods
Cultivate a very loose attachment to the specific methods and tools you use to perform your job, as AI will significantly transform how work is done.
16. Leverage AI as a Personalized Tutor
Encourage children and students to use AI tools like ChatGPT as personalized tutors that can adapt to their learning style (visual, audio, reading) and provide tailored explanations and quizzes.
17. Encourage Constructive AI Use in Learning
Actively encourage children to use AI tools like ChatGPT constructively in their learning process, treating it as a powerful utility for problem-solving and skill acquisition.
18. Avoid Frontier Model Startups
Startups should generally avoid building frontier or foundation AI models due to the immense CapEx requirements and the rapid deterioration of model value, making it an unviable business model for most.
19. Assess Risks in AI Tooling Market
When building AI tooling, be aware of the risk that large foundation model providers may offer competing products; differentiate strongly to ensure continued customer choice.
20. Build Applied AI Agents
For startups, focus on building applied AI agents that deliver specific business outcomes, as this market segment offers higher margins and will likely evolve into a product-centric SaaS model.
21. Adopt Outcomes-Based Pricing
Shift towards outcomes-based pricing for your software, especially AI agents, as it aligns your business model with customer value, drives true productivity, and is measurable.
22. Align Pricing with Customer Business Outcomes
Structure your pricing model to directly align with the measurable business outcomes achieved by your customers, such as paying per resolved customer service interaction, to foster partnership and shared success.
23. Implement AI Self-Reflection for Robustness
Improve the robustness of AI systems by having AI supervise AI, such as using one agent to find errors in another, to significantly increase accuracy and reliability.
24. Root Cause AI Errors for System Improvement
When AI tools produce incorrect outputs, perform root cause analysis to understand why (e.g., lack of context) and adjust the system or context engineering to prevent future errors, rather than just fixing individual instances.
25. Create Virtuous Cycles with AI for Improvement
Design AI systems to enable a virtuous cycle of continuous improvement, where AI helps identify opportunities, diagnose frustrations, and suggest new capabilities to enhance performance.
26. Select Go-to-Market Based on Purchase Process
Carefully choose your go-to-market strategy (developer-led, product-led growth, direct sales) by thoroughly considering the specific purchasing and evaluation processes of your target customers.
27. Reconsider Direct Sales for AI
For AI products where the buyer and user are often different, consider leveraging direct sales as a go-to-market strategy, as it has become more relevant in the AI market.
28. Study “Jobs to Be Done” Framework
Read ‘Competing Against Luck’ to understand the ‘Jobs to Be Done’ framework, which provides a valuable perspective on delivering product value, and consider using AI to summarize it.
29. Read “Endurance” for Grit
Read ‘Endurance,’ the true story of Shackleton’s expedition, for an unparalleled example of grit and resilience, which can be inspiring during challenging entrepreneurial times.
30. Invent the Future
Embrace the motto ‘The best way to predict the future is to invent it’ to drive an entrepreneurial mindset focused on building and creating new things.