How is AI changing digital product development?
Most answers agree AI accelerates and automates product development, shifting focus from routine tasks to judgment, creativity, and adoption, though some caution it may risk mediocrity without human craft.
11 answers
Answers


Marty Cagan
Partner · Silicon Valley Product Group
Human judgment and craft
Marty Cagan says the difference between a great product and a mediocre one is human judgment and craft, since the models are trained on the average and converge on mediocrity.
Mind the Product · Watch on YouTube
Ravi Mehta
Angel Investor · Traveljoy
Reducing build cost
Ravi Mehta says AI is reducing build cost: it made building software much cheaper, which puts the hard parts of product work—judgment, craft and customer understanding—in sharper focus.
Ravi on Product · Ravi on Product · Read

Josh Elman
Director of Product Management · Apple
Empowering higher‑order work
Josh Elman says AI should empower people to do their jobs better rather than eliminate them, and that automating easier tasks helps move to higher-order thinking.
The answer starts at 30:50.
Newcomer Podcast · Listen on Apple Podcasts
Jonathan Evens
Product Lead · Google Deepmind
More prompting
Jonathan Evens says the process is moving from traditional machine learning engineering to more prompting, where much is done by iterating on prompts and building eval sets.
Mind the Product · Watch on YouTube

Ben Celebicic
Chief Product and Technology Officer (CPTO) · Hinge
Accelerating feedback loops
Ben Celebicic says the biggest value he sees at Hinge is speeding up the feedback loop: he can prototype without engineering support and learn much faster whether an idea is worth building.
Product School · Watch on YouTube

Lars Grønnegaard Hansen
CPO and Co-Founder · Dreamdata
Rapid prototyping
Lars Grønnegaard Hansen says AI is changing product building by making rapid prototyping realistic: his company can now build prototypes close to the real product at an effort that was previously impossible.
The answer starts at 35:10.
Attributed - A podcast by Dreamdata · Listen on Apple Podcasts

Tara Seshan
Member of Product Staff · Openai
Expanding possibilities
Tara Seshan says the most effective users of AI tools don't just automate rote tasks but use them to expand the set of things they are capable of doing, widening their range of possibilities so they can realize more of what's in their head.
Lenny's Podcast · Watch on YouTube

Sachin Rekhi
Course Creator · Reforge
Automating research and execution
Sachin Rekhi says AI is changing product building by automating research and execution, with skills for user research and day-to-day tasks that free him for higher-value work.
Reforge · Watch on YouTube

Rohan Varma
Product, Codex · OpenAI
It multiplies output
Rohan Varma says AI multiplies output rather than shrinking it, because the right frame is leverage: teams can do 5x more things, with each role moving from doing the work to directing agents.
The VC Corner · The VC Corner · Read

Daniel Herrington
Chief AI Officer · The Zebra
Automating code generation
Daniel Herrington says AI now automates code generation: his team spawns agents to write code fixing errors in carrier API connections, and skips reviewing the pull request when whether it works is verifiable.
The Software Leaders Uncensored Podcast · The Software Leaders Uncensored Podcast · Listen at 14:10
Faith Forster
Chief Maker · Discoveree For Product Leaders & Managers
Focus on adoption
Faith Forster says AI changes the definition of done: because it’s quick and easy to build or change features, it’s no longer about the feature so much and is now about adoption.
Mind the Product · Watch on YouTube
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