I rarely read your stuff not because I don't think they are relevant because we are in the same circles. But I have to say this one resonated with me so much as someone who moved into data infra as chatgpt big launched two years ago. I have felt what you’re feeling and continued to feel so.
I am noticing the same at AI startups but much less so in traditional tech non AI native companies, where even the AI enablement steps take a while mostly because of people and change management. Any suggestions on how to accelerate the transformation?
I love this post. Recently, a friend asked me, "What roles are you looking for?". Wrong Question.
"What problems are you looking for?" I want to solve problems and use the applicable skills I learnt and acquire new ones along the way. and discard some.
"Plan in 2-3 week directional bets, not quarters" is the most practical AI career advice I've come across, especially for people like me who work within major corporations and are constrained by the tools that they can use. So many people get analysis paralysis... instead, I encourage them to pick one process where you can use public information and test an AI-assisted version! Evaluate honestly and move on.
A lot of director-level and VP-level roles exist primarily as connective tissue (i.e., synthesizing inputs, tracking decisions, navigating stakeholders), which AI is getting better at everyday... What remains is judgment (knowing what the output should look like, catching what the AI misses, evaluating whether the recommendation is right for this specific situation), and the people who can layer judgment on top of their coordination skills have more leverage than ever.
Each bet teaches you something about what AI is actually good at in your specific domain. That's a form of judgment that compounds, and judgment is the skill that's appreciating while coordination depreciates.
The people running these small bets are building the muscle that matters most, even if nobody at their company knows they're doing it. The 2-3 week bet is the right unit of experimentation for someone who can't wait for permission.
You’re essentially talking about continuous product discovery and core product development! :)
As a B2C founder this is completely true and helpful
This really spoke to me. I am seeing the same trends in partnerships. AI tools are changing how partners go to market.
Sounds like a stressful and fragile time to be in the software market 😅
I'm a Lovable user and just recently discovered very competitive solutions like v0.ai, base44 and rocket.new...
Being unique in thia market is definitely super challenging!
That meme is 100% on point for any role really 🪄
I rarely read your stuff not because I don't think they are relevant because we are in the same circles. But I have to say this one resonated with me so much as someone who moved into data infra as chatgpt big launched two years ago. I have felt what you’re feeling and continued to feel so.
I am noticing the same at AI startups but much less so in traditional tech non AI native companies, where even the AI enablement steps take a while mostly because of people and change management. Any suggestions on how to accelerate the transformation?
working on an ai app right now and i feel this deeply. thx for sharing, always super valuable!
I love this post. Recently, a friend asked me, "What roles are you looking for?". Wrong Question.
"What problems are you looking for?" I want to solve problems and use the applicable skills I learnt and acquire new ones along the way. and discard some.
"Plan in 2-3 week directional bets, not quarters" is the most practical AI career advice I've come across, especially for people like me who work within major corporations and are constrained by the tools that they can use. So many people get analysis paralysis... instead, I encourage them to pick one process where you can use public information and test an AI-assisted version! Evaluate honestly and move on.
A lot of director-level and VP-level roles exist primarily as connective tissue (i.e., synthesizing inputs, tracking decisions, navigating stakeholders), which AI is getting better at everyday... What remains is judgment (knowing what the output should look like, catching what the AI misses, evaluating whether the recommendation is right for this specific situation), and the people who can layer judgment on top of their coordination skills have more leverage than ever.
Each bet teaches you something about what AI is actually good at in your specific domain. That's a form of judgment that compounds, and judgment is the skill that's appreciating while coordination depreciates.
The people running these small bets are building the muscle that matters most, even if nobody at their company knows they're doing it. The 2-3 week bet is the right unit of experimentation for someone who can't wait for permission.
I want to know more about what you discuss with chatgpt when it comes to different growth loops. Interested to give prompts to me.