"AI does not eliminate expert human knowledge work. It dramatically increases the volume of work being done, and none of that work is differentiated or valuable unless a human being is involved."
“The most disruptive thing about AI for PMs is its shown that the leverage of coaching people up and working through them just isn’t the singular source of leverage it once was. Especially if those people are – through no fault of their own – deeply average. But that leverage is only available to people who still know how to do the work.”
😬 the corollary to the “100x engineer”
I wonder if there is some sort of Tipping Point (book) insight where “good enough” skills vary depending on the product/business/industry
Bottom line: AI pushes us all to be ICs for much of our work
@ericries Most marketing campaigns selling content are effectively ai summaries, aren’t they? The author writes and speaks about parts and pieces of the core concepts in the book (in this case) which motivates people to buy and read the source.
the reliable heuristic right now is to take whatever mba consensus says & invert it. largely cuz business frameworks are equilibrium models & we’re not in an equilibrium.
strategic planning, moat building, competitive analysis, yada yada yada.. all of it assumes a stable env but even the macro elements drastically get f’ed like every few months.
the entire grammar of conventional business strategy was built for a world where the rate of change was slow enough to plan around or even think about. that world is gone.
Great insight… we have to remember that the pace of change in software is far beyond anything we’ve seen, so we need to adjust expectations accordingly and try to figure out
a) what skills/experience is required to turn ai slop into magic *right now*
and
b) how those skills/that experience required might change (in your domain) in the coming days/weeks as the models and harnesses improve
the challenge isn’t the code it’s the judgement and systems design embedded in it. That’s why vertical experts who understand engineering are so valuable
As always with every/dan, this article is good because the writing was done by a person/people who use this technology daily plus have the skill of distilling/capturing what those using the technology daily are feeling as they use it
This is one of the most impressive “agent” tools I’ve seen… dang I really want to try it!
Openclaw gave people a picture of what is possible with the currently available technology, now packaging of the technology in a way that’s more accessible to nondevs (like this) is the next obvious step.
I've been personally burning through billions of tokens a week for the past few months as a builder. Today I'm excited to announce Hyperagent, by Airtable.
An agents platform where every session gets its own isolated, full computing environment in the cloud — no Mac Mini required. Real browser, code execution, image/video generation, data warehouse access, hundreds of integrations, and the ability to learn any new API as a skill.
Deep domain expertise through skill learning. Teach the agent how your firm evaluates startups or how your team runs due diligence — now anyone on the team gets output that reflects your actual methodology, not a generic template.
One-click deployment into Slack as intelligent coworkers. These aren't bots that wait to be @mentioned — they follow conversations, understand context, and act when relevant.
And a command center to oversee and continuously improve your entire fleet of agents at scale.
We're onboarding early users now. https://t.co/kctMfFCQqG
You should probably expect waves of rolling market disruption as AI use cases become clear in various industries, and markets reprice companies as a result.
We're all still fumbling in the dark with agents, but some patterns are emerging (and some disappear quickly again!), and it's our role as software makers to make use of it all along the way. Here are some quick notes from one of those internal sessions sorting it all at 37s.