Tim Cook: "Despite this table being so small, you could put every Apple product on it. Every single one that we ship today."
"Most companies begin to do larger and larger and larger portfolios because it's so easy to add. It's hard to edit. It's hard to stay focused.
Yet we know we'll only do our best work if we stay focused.
The hardest decisions we make are all the things not to work on. There are lots of things we'd like to work on, that we have interest in, but we know that we can't do everything great."
(Charlie Rose || 2014)
Coding is basically the pinnacle of what you could reasonably automate with AI, and yet we still need human engineers to oversee agents for them to be effective.
The AI models are trained on an incredible amount of sophisticated code. The users are highly technical and can use the latest tools quickly. The work is “verifiable” because you can test an app. The outcomes are often removed from the quality of the code (you can have sloppy code but the app can still work). And the context for the agent is often already digitized and sitting in the codebase.
That’s an incredible amount of benefits that AI coding agents get to work with. Some of those apply to knowledge work, but most don’t in areas where the work needs to be fully reviewed to be useful, or where data isn’t as abundantly digitized. This makes the job for agents in knowledge work more complicated.
So if with all of that, engineers still remain in very high demand, the risks are going to be less than what’s perceived for other areas of knowledge work. Agents will let people do far more than they did before, but the people don’t go away.
Outside of engineering superiority.
...The reason @elonmusk is one of the richest men alive, is that he obsessively creates VALUE - like common sense (duh) VALUE for his CUSTOMERS... Far beyond what a single "person" pays.
Thank you, Elon, for your contributions. @xai
Ye & 80,000 fans singing "Heartless" at SoFi Stadium 🏟️
"That's what 80,000 people sound like ladies and gentlemen... they said I'd never be back in the states. Two sold-out concerts." https://t.co/UC3T4ILSdj
Start your content engine by feeding Claude your core beliefs and deal background in a 30 minute voice calibration session.
Create a thesis bank of 20 topics with 3 angles each for 60 posts worth of material.
Use Buffer or Taplio to schedule everything so posting happens whether you have brutal weeks or smooth ones
Fortune 500 banks need 350 million dollar partnerships with companies like Infosys to deploy AI agents across their operations.
A boutique advisory firm in Chicago just built similar AI infrastructure for processing client research and proposal generation at a fraction of that enterprise cost.
The firms that don't see this shift coming will lose mandates to competitors who installed AI workforces while they were still manually drafting reports
Which manual workflow in your business should have been automated six months ago but you keep putting it off.
Every day you delay automation a competitor gets further ahead by operating with AI agents while you're still doing everything by hand.
Reply with the one repetitive task that's eating up your team's time right now
Stop manually creating research briefs before every client call when AI agents can build them automatically using real-time data.
Set up systems that generate follow-up reports the same day meetings happen instead of whenever someone remembers to write them.
Install AI infrastructure that works continuously rather than tools you have to prompt every single time
Everyone thinks the AI revolution means better chatbots but they're completely missing the real shift happening right now.
Companies like Infosys are deploying autonomous agents that process insurance claims and generate code without any human prompting required.
We've moved way past the ChatGPT phase into building entire execution layers that operate independently