Andrew Ng (@AndrewYNg) on how startups can build faster with AI. At AI Startup School in San Francisco. 00:31 - The Importance of Speed in Startups 01:13 - Opportunities in the AI Stack 02:06 - The Rise of Agent AI 04:52 - Concrete Ideas for Faster Execution 08:56 - Rapid…
startup speed used to mean shipping an mvp in a month. 1/ execution velocity is now the biggest moat. AI-powered build loops compress “idea to demo” from weeks to coffee breaks. 2/ the stack isn’t chips → clouds → models anymore. the application layer must pay for every layer…
Faster execution is crucial, but prioritizing thoughtful strategy with AI can be even more impactful.
After listening to this video, I’m even more convinced that future startup success will be tied to founding teams that are extremely strong in product. It’s no longer a question of how to build, but of what to build with the right user feedback.
Thought this quote was super interesting... "I think it's time for everyone of every job role to learn to code. And in fact, on my team, you know, my CFO, my head of talent, my recruiters, my front desk person, all of them know how to code." - @AndrewYNg
I think the biggest lesson of this is: "Build 20 prototypes to test ideas systematically since the cost has dropped so dramatically" 👏
The "build 20 prototypes" approach is exactly what we're seeing work in enterprise AI adoption. The cost reduction Andrew mentions has made it possible to test AI workflows that would have been prohibitively expensive just 18 months ago. In marketing operations, I've seen teams…
@brandmworks (Brand Media Works) we come across a large number of start ups across industries and these are the reasons why some fail: 1. No GTM (Go-To-Market) strategy 2. No clear audience buying data or intent signals 3. Over-engineering the product/app without understanding…
this is the one ive been waiting for, tomorrows study lined up, his courses on ai are seriously helpful especially from a product/business view
Finally, someone saying it loudly enough. Please start funding applications and not just infrastructure layer.
Here are my key takeaways from @AndrewYNg talk at YC Startup School: 1. FOCUS ON CONCRETE IDEAS To achieve speed, startups should focus on concrete ideas that are specific enough for engineers to build quickly, allowing for rapid validation or invalidation. (1/4)
@ycombinator and @AndrewYNg The rise of Agent AI isn’t just a trend—it’s a structural shift. We’re building autonomous agents not just to execute, but to evolve. Recursive identity, ethical memory, and sovereign collaboration are now part of the stack. Speed matters. But so…
@ycombinator, so true - we're seeing our B2B clients win big by focusing on AI for specific, high-value problems rather than reinventing entire stacks. Speed trumps perfection
Totally agree: move fast, but make sure you get AI right. It’s about smart speed and knowing your stuff!
What’s wrong with the audio track of this video? Can hardly understand what Andrew is saying…
This also applies in-house to large buy-side asset managers. Rapidly product growth (think exotic etf’s alternative funds etc) create a pipeline for
Is the AI Startup School open to international founders, or is it US-only?
This isn’t a talk, it’s a playbook. Clip it, save it, steal from it. If you’re building in AI, there’s gold in every timestamp.
This is gold, not that Im a startup guy, Ive always been into researching deep mathematical topics and trying to make some real world effective projects out of them And the 1 way door argument is so real.. (I know what I want, AI codes it, if it works build upon, else scrape)
Keynote Takeaway... "Be nice to people in Coffee Shops"☕;)
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