New in @NoemaMag: "What the AI Consciousness Question Conceals"
The industry built instruments to see inside the model. It built almost nothing to see what happens to the human.
That asymmetry has consequences — and they are already measurable.
https://t.co/z5DfG51w8f
Two questions for your team:
What can you do today that you couldn't a year ago?
What could you do a year ago that you can't today — not without the tool?
The AI gap your dashboard can't see. From Alexandre Klaser & Jim Highsmith.
https://t.co/kiC00FsWIT
NASDAQ Flash Crash: $1 trillion gone in minutes. NYSE avoided it — humans on the floor noticed the drift.
Same design error, now at AI scale.
The architecture exists. We built it.
https://t.co/u83NQ9zWqP
Amazon, Anthropic, OpenAI, Google, Microsoft — five companies, same story: AI systems their own engineers cannot control.
You are building your business on these foundations.
How is that acceptable?
https://t.co/u83NQ9zWqP
New in @NoemaMag: "What the AI Consciousness Question Conceals"
The industry built instruments to see inside the model. It built almost nothing to see what happens to the human.
That asymmetry has consequences — and they are already measurable.
https://t.co/z5DfG51w8f
The AI consciousness debate is intellectually fascinating. It also conceals the question that matters for every organisation deploying AI right now:
Does the arrangement make the human more capable — or quietly less so?
The answer depends entirely on how you build it.
"The most dangerous drift looks like success: continued efficiency applied to yesterday's assumptions."
If you're deploying AI at scale, this is the question underneath all the other questions.
https://t.co/J5JosZYhIW
# Twitter/X Post — Barton Friedland (Personal)
Your AI is hitting every target. But are those targets still worth hitting?
New piece with Mark Beliczky and Klemen Kocic.
https://t.co/J5JosZYhIW
#AIGovernance#EnterpriseAI
Every AI dashboard measures speed. No AI dashboard measures whether the people using it are still capable of the work.
Efficiency flattens. Capability compounds.
The hare sprints and stops. The tortoise never stops.
https://t.co/PBVyw1FS7L
#AI#Augmentation#FutureOfWork
In failed integration, the human disappears and the technology remains visible. In successful integration, the technology resolves and the human becomes more present.
Every organisation is building one of these. New essay: The Resolution of Intelligence.
https://t.co/MkVDsq3jYP
Agents can traverse.
They can map.
They can optimise the route.
But they do not want a different world.
In the age of agents, execution scales.
Intent becomes scarce.
A short reading from this week’s piece: What Agents Cannot Want.
https://t.co/oupfk6Eu7u
#AI
Agents can optimise, adapt, and execute at machine speed. What they cannot do is want a different world. That's not a limitation of the technology. It's the whole point.
https://t.co/oupfk6Eu7u
#AIStrategy#AgenticAI#Augmentation
Speed without steerability is not strategy.
When judgement is displaced into systems,
momentum replaces authorship.
And change becomes possible only through crisis.
Judgement cannot be automated without being lost.
It can, however, be deliberately designed for.
#Judgement#AI
When judgement moves upstream into AI systems, intervention moves downstream.
What could have shaped value early becomes corrective action later — expensive, visible, political.
The cost of automation isn’t delay.
It’s misallocation.
https://t.co/im84hLdOc2
#AI#Judgement
Judgement hasn’t vanished in AI-driven organisations.
It’s been pushed downstream.
Leaders remain responsible — often after the real choices are already closed.
An essay on judgement displacement, AI, and the hidden cost to strategy and value:
https://t.co/im84hLdOc2
#AI
Thinking isn’t efficiency.
It’s friction.
It’s refusal.
If AI only speaks the language of compliance, it narrows us.
If it unsettles, it can enlarge us.
https://t.co/t7VYjqkuX8
#HumanCentredAI#Augmentation