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AI-first smartphone

Is this an iPhone killer… or just a very expensive experiment? OpenAI is reportedly working on an AI-first phone 😳 Not just Twitter noise. There are real...

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Original source: Google Docs import

Is this an iPhone killer… or just a very expensive experiment?
OpenAI is reportedly working on an AI-first phone 😳
Not just Twitter noise.
There are real supply chain signals:
– MediaTek
– Qualcomm
– Luxshare
Timeline looks slow:
→ specs around 2026–2027
→ possible production ~2028
So yes… early.
But the idea is the interesting part.
Today’s phones are built around apps.
You open things:
Bank.
Maps.
Email.
Uber.
OpenAI is betting on something else:
You don’t open apps.
You just tell the device what to do.
“Book me a flight.”
“Move money.”
“Plan my week.”
And it handles it.
That’s not a UI tweak.
That’s a different OS logic.
Because agents don’t fit well into iOS or Android.
Those systems were built for:
permissions, notifications, app boundaries
Agents need:
memory, context, autonomy
That’s a foundation shift.
From apps → to actions.
The hard part is not building it.
It’s getting people to switch.
Hardware is hard.
Distribution is harder.
Ecosystems are sticky.
And Apple + Google are not exactly sleeping.
So this feels less like “new phone coming”…
and more like the start of another interface war.
Funny thing – we spent 15 years learning how to use apps.
Now the bet is: we stop using them entirely.
If you're building anything in this space – products, infrastructure, ecosystems – this is exactly the kind of shift where strategy starts to matter a lot more than execution.
I do 1-hour sessions on these transitions – where markets are actually moving and how to position around them:
https://zcal.co/axlindholm/1hour
Curious – would you actually switch to an AI-first phone?
#AI #technology #startups

May 08, 2026 -

Talent sourcing directly inside ClaudeHiring didn’t just get automated.
It got… dehumanized. And not yesterday.
Funny thing – HR was probably one of the first industries to lose its human face.
In the 90s, you applied to a handful of jobs, spoke to real people, and had a clear “yes” or “no”.
In the 2000s, it scaled – job boards, CV databases, recruiters juggling dozens of roles.
Today?
Hundreds of applications per role.
70–80% of candidates never get a response.
Automated filters reject you before a human even sees your name.
We optimized hiring for efficiency: and quietly removed human dignity from the process.
Now we’re adding AI on top of that.
Nova Recruiter inside Claude is a good example:
You describe a role once, and an agent handles sourcing, scoring, outreach, replies, scheduling.
It’s fast. It works.
But here’s the uncomfortable part:
If the system was already broken…
are we fixing it, or scaling the problem?
Because hiring is not just a workflow.
It’s one of the most emotional processes in a person’s life!
Rejection. Uncertainty. Identity.
And yet we treat it like CRM automation.
Maybe HR is actually the first place where AI should be guided not just by engineers… but by psychologists.
People who understand how humans experience these systems.
Because right now, the tech is getting better.
But the experience? Often worse. People are tired of this.
And here’s what’s coming next:
Gen Z won’t tolerate this.
If they have to send 300 applications just to get one human response…
they will break the system before the system adapts.
And honestly, maybe that’s what’s needed.
This is exactly why platforms like Kunsta are interesting.
They push back on this dynamic and force something very simple:
a human response. Real. Direct. Clear.
Every time.
Not perfect. But directionally right.
If you care about where hiring is going – or want to experience a more human version of it:
https://kunsta.eu/
Curious – is AI going to fix hiring… or just make a broken system faster?
#AI #hiring #futureofwork