» Delegate the same kinds of task to an AI agent as you would to an intern
» Generative AI won’t help you find product differentiators
» Evals are a way of checking the quality and effectiveness of your LLM and AI tools
» Learning their skills hands-on is the best way to appreciate specialists’ roles
» A good roadmap can be a valuable way of showing reliability and building trust
» CEOs fall on a spectrum of ‘only assigning work’ and ‘collaborating with staff’
» Master the genAI tools relevant to your skillset before someone less experienced makes you redundant
» Rank stacking has fallen out of favour because it breeds internal sabotage and mediocrity
» Orgs drift between varying degrees of horizontal and vertical ‘coupling’
» We are arguably in 3 AI bubbles: speculative, infrastructure and hype
» Better methods than roadmaps exist when there’s a broad gap between vision and execution
» A PM’s vibe coded prototype is just another way to dictate requirements to the team
» Just because you can build features more quickly doesn’t mean you should build them
» Greater strategic discipline than ever is needed to build worthwhile products
» AI may help you ship faster, but validating what you shipped still takes time
» In large complex organisations, transparent, written communication helps to avoid misinterpretation
» A strategy is just a wishlist if you never actually follow through on a decision
» What are the factors that lead us to trust someone (or an AI tool)?
» Vibe coding is great for prototyping; but for production code, dev teams still rule
» What happens when anyone in your org can build and ship product?
» GenAI is creating a productivity disparity between companies using it by default and those which are not
» Investors are increasingly valuing companies based on ‘revenue per employee’ (≈ efficiency)
» Job interviews are a terrible way to assess how someone will perform in role
» All genAI companies are evil, but some are less evil
» Accumulated inefficiency has come back to bite organisations – what to do about it
And is the increasing reliance by junior developers on AI coding assistants storing up a generational skills shortage for the future – ‘professional debt’, if you will?
» Implementing AI means assessing user needs and your data sources
» AI technologies run the risk of creating harm — how are you planning for that?
» LLMs and genAI open up new vectors for novel attacks that need to be countered
