/goal and other fully automated AI agents are cool, but not a great model for the future of work with people. Instead you want your AI to know when to ask you GOOD questions, maybe because it is stuck, maybe because your taste matters, maybe because you would find it interesting.
NEW: Amazon has reportedly scrapped its internal AI leaderboard as costs soared, with a senior executive telling staff: “don’t use AI just for the sake of using AI.”
CEOs are quietly realizing the AI replacement plan has a problem.
Two problems, actually.
One: the token costs for running AI agents are now exceeding what they were paying the employees they fired.
Two: when the tokens run out, the AI stops. Just stops. No continuity. No workaround. Just a spinning wheel where your workforce used to be.
You fired humans to save money and bought a subscription that bills you into a corner.
The employees you let go knew what to do when things broke.
The AI just invoices you for the outage.
And then there’s the permission problem nobody wants to talk about.
To do its job, the AI agent needs access. Full access. Your systems, your patents, your contracts, your future plans. Everything you spent years building, handed over to a process that has no loyalty, no discretion, and no skin in the game.
You didn’t hire a replacement.
You gave a stranger with no soul the keys to everything you own.
Enjoy.
Top 5 AI stories in Africa last week:
-GITEX Kenya drew 280+ enterprises, 140 speakers, and 100 investors from 75 countries to define Africa's AI roadmap for digital sovereignty.
-Africa has 18 months to build its own AI foundations before becoming permanently dependent on foreign platforms.
-10 West African banks are positioned for AI adoption in 2026, with Nigeria's Moniepoint leading as the region's first AI chatbot for the informal economy.
-Strive Masiyiwa backs a new African AI and infrastructure fund.
-Kenyan startup Aphorion Labs ran production-grade AI on a $5 server at GITEX Kenya.
#AfricaAI
this was probably my favorite read on AI this year. kudos to Dan for writing it
his core point:
more AI = more work for humans, not less
this seems to be universally true: AI is helping everyone get more done, but me and everyone i know is working more than ever, not less
here's why that's happening:
1. AI is really good at the stuff humans used to be good at. writing, coding, design, research. it can do all of it now, fast and cheap
2. so everyone starts using it. the person in customer support is shipping code. the engineer is writing blog posts. the marketer is making videos. way more stuff gets made
3. but everyone is using the same AI. so the stuff it makes all starts to look the same
4. when everything looks the same, people get bored of it. they can smell it a mile away. it becomes worthless
5. so now what's valuable is the opposite. stuff that doesn't look like everything else. stuff that's actually good. stuff that fits the exact moment
6. and the only one who can do that is a human who knows what they're doing. someone who can look at what the AI made and say "this part is good, this part is bad, do it again like this"
7. that human now has way more work to do than before. because the AI is making 10x more stuff, and all of it needs a human to make it actually good
you can see this play out every time a new AI model drops.
people panic that the jobs are gone.
but the same thing happens every time. the AI gets really good at the part of the job that used to be hard.
that part becomes easy and cheap. and the humans who used to do it move up to a new harder part the AI can't do yet
example: writing a decent blog post used to be a skill. now AI can do it in 10 seconds. so the human job moved up a level.
now the skill is knowing which blog post to write, who it's for, and whether the one the AI wrote is actually any good
the bar keeps moving up. the humans keep moving with it
even when AGI shows up, someone still has to tell it what to work on and check if the work is any good
the easiest way to see why is to think about a toddler for a second.
a toddler can't write code, can't summarize a spreadsheet, can't pass a single benchmark. the AI beats him at everything
but the toddler wants stuff.
he wants to poke the balloon with a fork. he wants to see if you'll laugh when he throws his food. he comes up with his own little experiments all day long
the AI doesn't want anything. it just sits there until someone tells it what to do
that gap doesn't close.
the AI can do the work. but a human still has to be the one who wants something done in the first place, and who decides if what came back is actually what they wanted
at Every (Dan's company), they've automated everything they possibly can.
and they have more human work to do than ever. that's the proof
the people who win this are the ones who get good at directing the AI.
> telling it what to work on
> checking if the work is any good
> and pointing it at problems nobody has figured out how to solve yet
that's the new skill.
not doing the work yourself, but rather knowing what work is worth doing and whether the AI actually did it well
read the full piece, it's worth it
Top AI stories in Africa today:
- East Africa��s largest tech and AI event wrapped up today, the region’s biggest conversation yet on AI governance and investment.
- The AI Skills and Compute Africa Foundation was officially launched in Kigali this week.
- South Africa, Kenya, Nigeria, and Egypt are pushing for greater independence from global AI supply chains.
- African startups have raised just $708M in equity funding so far in 2026, as AI dominates investor attention.
Principales actualités de l’IA en Afrique aujourd’hui :
- Le plus grand événement tech et IA d’Afrique de l’Est s’est terminé aujourd’hui, abordant les enjeux de gouvernance et d’investissement dans l’IA.
- La Fondation AI Skills and Compute Africa a été officiellement lancée à Kigali cette semaine.
- L’Afrique du Sud, le Kenya, le Nigeria et l’Égypte cherchent à réduire leur dépendance aux chaînes d’approvisionnement mondiales de l’IA.
- Les startups africaines n’ont levé que 708 millions de dollars en 2026, l’IA concentrant l’essentiel de l’attention des investisseurs.
#AIAfrica #IAAfrique
You can now create and manage automations in the same workspace as your agents.
Automations are now available in the Agents Window. For the next 7 days, all agent runs for newly created automations are 50% off.
@Dan_Jeffries1 Thank you! Learning about AI should be a priority for future generations given all the capabilities at our disposal especially in other parts of the world where the conversation is still limited.
Top stories in AI today:
- Elon Musk loses lawsuit against OpenAI, Microsoft
- Cursor’s Composer 2.5 nears coding frontier
- 3D model anything with Claude and Blender
- Odyssey’s multimodal, multiplayer world models
- 4 new AI tools, community workflows, and more
In this video, we explain what Agile methodology is, how it works, and why it matters for project delivery https://t.co/tlXKNgk6as
You’ll learn about Agile principles, popular frameworks like Scrum and Kanban, and the key benefits that make it effective in dynamic environments.