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Great question. My rough framing is that AI has given engineering a 100x boost, product 10x, and design 5x. That imbalance creates real strain: engineers can merge lots of individual changes while the overall UX gets less coherent, and designers burn out trying to keep up.
Design is a deep craft. It takes thought and a view of the whole experience. We haven’t given designers tooling that matches how quickly we can now produce code.
That’s why we’re building Inspect for designers. The ambition is to give them the 200x boost. Then engineers can be the ones trying to keep up :)
Will on-site commerce search be a casualty or a net winner from agents doing more and more shopping on behalf of the users?
Seems that it's possible to argue either way.
There’s a significant delay between the pace of consumer AI and what enterprise is *actually* using & being offered by vendors. It’s often the case in tech cycles but the contrast today is a lot more jarring.
@apeatling Super interesting @apeatling! Given open source has been really beneficial to agent awareness of platforms, why do you think that’s the case?
Italian trains be like, let’s have 1000 people disembark and board in five minutes.
But then, here is a lake with a mountain with a picturesque town with a palazzo with sailboats. 100x rinse and repeat.
One thing dhh forgets to mention in his excellent keynote is that the “decades of chiseling code by hand” were a direct pre-requisite to AI now excelling at the same. We’ve all helped build this wonder. https://t.co/vWnd7Cg9ue
just got off the phone with a new engineer hire at a portco with a very wise insight
“AI has been replacing my job since I got a CS degree, yet I’m busier than ever - we can all just be more ambitious”
this is the same insight that the inimitable @JensenHuang has for us all
People rest when things are settled. Nothing about this is settled. Every week the map redraws itself and you either keep up or wake up irrelevant. That's exhausting and also the most alive I've felt in this industry. Both things are true at once.
In my first company, as a founder in early 20s with compsci background, I actively seeked out experts in GTM, sales, FP&A just to understand how those functions work.
Today I can get any specific question on those fields answered at a very high level of proficiency in a few keystrokes with Claude on Saturday morning.
What does it mean for human start-up exec expertise? It’s very important to be extremely current about where the edge in your field has been in the most recent 3-6 month window, and knowing how to practice it. Having a human network to bring in talented hires. Ability to execute, not just pattern match.
The opportunity is only bigger for the best of the best - and not there the way it used to be for those underinvesting in staying *very* current.
Salesforce’s excellent results are a timely reminder that having years and years of system of record data *is* an AI moat after all. Having Slack doesn’t hurt either!