Dr. Joerg Storm

Your success, my mission | CIO | CTO | Mercedes-Benz, (ex) Siemens | The only newsletter you need for Tech/AI🔔drstorm.substack.com🔔 Follow for posts about business & Tech/AI

I am 𝗗𝗿. 𝗝ö𝗿𝗴 𝗦𝘁𝗼𝗿𝗺, 𝗮𝘂𝘁𝗵𝗼𝗿 and 𝗳𝗼𝘂𝗻𝗱𝗲𝗿 𝗼𝗳 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝘄𝗼𝗿𝗹𝗱’𝘀 𝗹𝗮𝗿𝗴𝗲𝘀𝘁 𝗔𝗜 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿𝘀, read by 𝟱70,𝟬𝟬𝟬+ 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝟭𝟵𝟳 𝗰𝗼𝘂𝗻𝘁𝗿𝗶𝗲𝘀, with a combined 𝟭.4𝗠+ 𝗳𝗼𝗹𝗹𝗼𝘄𝗲𝗿𝘀 𝗼𝗻 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

I run a 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗺𝗲𝗱𝗶𝗮 𝗮𝗻𝗱 𝗮𝗱𝘃𝗶𝘀𝗼𝗿𝘆 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 spanning LinkedIn, a leading AI newsletter, and a C level podcast, reaching 𝗖𝗘𝗢𝘀, 𝗖𝗜𝗢𝘀, 𝗖𝗧𝗢𝘀, 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀, 𝗮𝗻𝗱 𝘀𝗲𝗻𝗶𝗼𝗿 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗺𝗮𝗸𝗲𝗿𝘀 worldwide.

My focus is helping leaders move from 𝗔𝗜 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝘁𝗼 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻, while building 𝗮𝘂𝘁𝗵𝗼𝗿𝗶𝘁𝘆, 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗺𝗽𝗮𝗰𝘁.

What I do

𝟭. 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗚𝗲𝗻𝗔𝗜 𝗮𝗻𝗱 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗔𝗱𝘃𝗶𝘀𝗼𝗿𝘆
I advise enterprises and scale ups on 𝗔𝗜 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆, 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗲. The focus is execution, not theory.

𝟮. 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 𝗮𝗻𝗱 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗚𝗿𝗼𝘄𝘁𝗵
As Founder and CEO of 𝗗𝗿. 𝗦𝘁𝗼𝗿𝗺 𝗔𝗱𝘃𝗶𝘀𝗼𝗿𝘆 𝗚𝗺𝗯𝗛, my team runs global 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆, 𝗰𝗼𝗻𝘁𝗲𝗻𝘁, 𝗮𝗱𝘀 𝗮𝗻𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 end to end. We deliver 𝗴𝗿𝗼𝘄𝘁𝗵 from startups to 𝗙𝗼𝗿𝘁𝘂𝗻𝗲 𝟱𝟬𝟬 companies.

𝟯. 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗕𝗿𝗮𝗻𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗧𝗵𝗼𝘂𝗴𝗵𝘁 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽
We position leaders as 𝗰𝗿𝗲𝗱𝗶𝗯𝗹𝗲 𝘃𝗼𝗶𝗰𝗲𝘀 and convert visibility into 𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗶𝗮𝗹 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗶𝗻𝗯𝗼𝘂𝗻𝗱 𝗱𝗲𝗺𝗮𝗻𝗱.

𝟰. 𝗣𝗼𝗱𝗰𝗮𝘀𝘁, 𝗞𝗲𝘆𝗻𝗼𝘁𝗲𝘀, 𝗮𝗻𝗱 𝗧𝗲𝗮𝗰𝗵𝗶𝗻𝗴
I host an 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗔𝗜 𝗽𝗼𝗱𝗰𝗮𝘀𝘁 with CEOs, CIOs, CTOs, and founders, and work globally as a 𝗸𝗲𝘆𝗻𝗼𝘁𝗲 𝘀𝗽𝗲𝗮𝗸𝗲𝗿, 𝗺𝗼𝗱𝗲𝗿𝗮𝘁𝗼𝗿, 𝗮𝗻𝗱 𝗱𝗼𝗰𝗲𝗻𝘁 for International Management.

Who we work with

Our clients include 𝗡𝗩𝗜𝗗𝗜𝗔, 𝗔𝗪𝗦, 𝗔𝗹𝗶𝗯𝗮𝗯𝗮, 𝗛𝘂𝗮𝘄𝗲𝗶, 𝗘𝗬, 𝗪ü𝗿𝘁𝗵, 𝗟𝘂𝗳𝘁𝗵𝗮𝗻𝘀𝗮, 𝗥𝗲𝗽𝗹𝗶𝘁, 𝗚𝗮𝗺𝗺𝗮, 𝗦𝘆𝗻𝘁𝗵𝗲𝘀𝗶𝗮, and leading AI driven enterprises worldwide.

If you want to 𝗳𝘂𝘁𝘂𝗿𝗲 𝗽𝗿𝗼𝗼𝗳 𝘆𝗼𝘂𝗿 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝘀𝗰𝗮𝗹𝗲 𝗔𝗜 𝗯𝗲𝘆𝗼𝗻𝗱 𝗽𝗶𝗹𝗼𝘁𝘀, or 𝗯𝘂𝗶𝗹𝗱 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗶𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲, feel free to connect.

For collaborations and inquiries
digitalstormweekly@gmail.com

To book a conversation
https://topmate.io/dr_joerg_storm

Founder, Publisher

The "Digital STORM" weekly is one of the fastest-growing AI newsletter in the world, with thousand of readers working at companies like Apple, Meta, Google, Microsoft. 

Its all about AI, Future Trends, Digital Transformation for executives, decision makers, industry leaders and all others which want to grow

>> Most AI coding tools will never survive inside real companies.

Not because they are bad.

But because they break the moment reality shows up.
- Large codebases.
- Multiple repos.
- Legacy logic.
- Security.
- Cost control.

That is where most tools collapse.

What just changed is that agentic coding is finally moving from solo developers to real teams.

Qoder has officially launched its 𝗧𝗲𝗮𝗺𝘀 𝗣𝗹𝗮𝗻 and this is not another autocomplete upgrade.

This is about system level understanding, not prompt level tricks.

Qoder can reason across 100000 plus files, multiple repositories, internal docs, APIs, and frameworks at the same time.

That matters because enterprise software is not written in isolation.
It is negotiated across systems.
The biggest shift is Quest Mode.

Instead of guessing prompts, teams define a structured spec.
- Qoder breaks it into tasks.
- Agents execute them in parallel.
- Outputs are verifiable and production ready.

Add centralized billing.
SSO.
A unified knowledge base.

This is not about speed alone.
It is about trust.

Agentic coding only works when teams can rely on it.

Check it out here: https://aisecret.co/Joerg

Honest question: Will AI coding stay assistive or become infrastructure?

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👋 Greetings! I'm Joerg, a founder, publisher, and digital transformation leader with over 25 years of global experience in implementation, innovation, entrepreneurship, and leadership. My mission is to help executives, decision makers, and industry leaders leverage AI to accelerate their productivity and growth. 

Through my AI newsletter, Digital STORM, I reach thousands of readers at companies like Apple, Meta, Google, and Microsoft, sharing insights, trends, and best practices on AI and digital transformation. 

As an advisory board member, I also support organizations with strategic guidance and intercultural management expertise. I have a Ph.D. in Economics and International Management, a PMP certification, and an IMD Digital Transformation Graduate credential.

I  offer 1:1 coaching, mentoring, and intercultural management, project management expertise to help you unlock your personal potential and drive digital transformation. 

If you want to join me on this digital journey, follow my hashtag #drstorm on LinkedIn, and let's connect. 

Book a 1:1 call with me here: https://topmate.io/dr_joerg_storm.

🎯For Collabs DM or reach out via email at digitalstormweekly@gmail.com

>> Harvard just removed the velvet rope.

Let that sink in.

The same AI education once reserved for a 200000 dollar degree
- is now online
- free
- complete
- and unfiltered.

This is not marketing content.
Not a teaser.
Not highlights.

It is the real curriculum.
Full lectures.
Full frameworks.

The exact mental models shaping the next generation of leaders.
Here is the uncomfortable truth most people miss.

𝗧𝗵𝗲 𝗯𝗮𝗿𝗿𝗶𝗲𝗿 𝗶𝘀 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 𝗮𝗰𝗰𝗲𝘀𝘀.
𝗧𝗵𝗲 𝗯𝗮𝗿𝗿𝗶𝗲𝗿 𝗶𝘀 𝗱𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗲.

Harvard did not lower the bar.
They removed the gatekeeper.

Six open tracks now cover what the market quietly expects leaders to understand
1️⃣ Generative AI strategy
2️⃣ Machine learning logic
3️⃣ Data science foundations
4️⃣ Computational thinking for executives
5️⃣ Edge AI
6️⃣ High dimensional analysis

This is not about becoming an engineer.
It is about not becoming irrelevant.

Knowledge is no longer scarce.
Execution is.

Harvard opened the door.
𝗪𝗵𝗼 𝗶𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗮𝗹𝗸𝗶𝗻𝗴 𝘁𝗵𝗿𝗼𝘂𝗴𝗵

Find the links below:

1️⃣ Generative AI for Leaders
Strategy and policy from the Harvard Kennedy School
🔗 https://lnkd.in/drpQDwMk
2️⃣ CS50 AI with Python
How intelligent systems actually think
🔗 https://lnkd.in/dRWVXa6m
3️⃣ Data Science Machine Learning
Build a real recommendation engine
🔗 https://lnkd.in/d9STFdNm
4️⃣ CS50 for Business
Computational thinking for executives
🔗 https://lnkd.in/dpKPt-sV
5️⃣ Fundamentals of TinyML
AI on tiny edge devices
🔗 https://lnkd.in/dgfyBhkC
6️⃣ High Dimensional Data Analysis
When Excel breaks
🔗 https://lnkd.in/dXSt3JKj

𝗡𝗼𝘁𝗲
Courses 3, 5, and 6 are free via Audit This Course


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Founder of one of the world’s largest AI newsletters (557K+ readers) | 1.36M LinkedIn Followers | Social Media & LinkedIn Growth Agency | Enterprise GenAI & Strategy Advisor | Docent & Keynote Speaker

>> 𝗧𝗵𝗶𝘀 𝗶𝘀 𝘄𝗵𝘆 𝗔𝗜 𝗰𝗮𝗻 𝗽𝗼𝗶𝘀𝗼𝗻 𝗶𝘁𝘀𝗲𝗹𝗳.

𝗜𝗻 𝟭𝟬𝟭 𝗶𝘁𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝗿𝗲𝗮𝗹𝗶𝘁𝘆 𝗺𝗲𝗹𝘁𝘀.

You ask an AI to perfectly recreate an image.
Then you feed the output back into itself.

- Again.
- Again.
- Again.

At first, nothing looks wrong.

Then details soften.
Edges blur.
Reality starts bending.
By the end, it looks like accidental Picasso 🎨

Not because the model is broken.
But because it is doing exactly what it was designed to do.

This is 𝗺𝗼𝗱𝗲𝗹 𝗱𝗿𝗶𝗳𝘁 in visual form.
Each generation learns less from reality
and more from a slightly degraded version of itself.

That is the real warning.
If AI systems increasingly train on synthetic data, they do not converge toward truth.

They converge toward stylized self imitation.

This is not just an image problem.

The same effect applies to text, code, research, and decisions.

Once models mostly learn from models, reality fades out.

That might be the biggest hidden risk in the AI race.

Are we accelerating intelligence or slowly training systems to forget the real world?

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🚀 Leverage AI, boost your career, and master the future with over 80+ AI
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>> NVIDIA just changed self driving forever.

And most people missed why.

With 𝗔𝗹𝗽𝗮𝗺𝗮𝘆𝗼, NVIDIA introduced the first autonomous vehicle system that does something new.

It reasons.

Until now, self driving systems saw the world and reacted.
Detect object.
Trigger rule.
Execute maneuver.

Alpamayo adds a missing layer.
𝗣𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 → 𝗿𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 → 𝗮𝗰𝘁𝗶𝗼𝗻.

In the demo, the car does not just slow down.
It explains why.

Why a pedestrian looks uncertain.
Why a construction zone changes priorities.
Why yielding now reduces future risk.

That explanation layer unlocks everything.

- 𝗗𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴.
- 𝗧𝗿𝘂𝘀𝘁.
- 𝗥𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿𝘆 𝗮𝗽𝗽𝗿𝗼𝘃𝗮𝗹.

Autonomy does not fail at 80 percent.
It fails at 99 percent.

The last one percent is where accidents live.
Reasoning is how you attack it.

This is not just about cars.
It is the beginning of 𝗽𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗜.

Are we ready for machines that can explain their decisions?

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Irina Shekhovtsova Hayley Grossman

Founder of one of the world’s largest AI newsletters (570K+ readers) | 1.4M LinkedIn Followers | Social Media & LinkedIn Growth Agency | Enterprise GenAI & Strategy Advisor | Docent & Keynote Speaker

>> Apple is not behind in AI.

Apple is quietly building AI infrastructure.

Look at the photo.
Dozens of Mac minis, racked and wired like a mini data center.

Not for web apps.
For running models locally.

For years the narrative was simple.

- No frontier model.
- No flashy chatbot.
- No arms race.

But Apple optimized for something else.

𝗟𝗼𝗰𝗮𝗹 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲.
Unified memory.

- High memory bandwidth per euro.
- Hardware and OS designed as one system.

That combo unlocks a truth most AI discourse ignores.
Inference often loves 𝗺𝗲𝗺𝗼𝗿𝘆 more than raw FLOPS.

The real world is 𝗯𝗮𝘁𝗰𝗵 𝘀𝗶𝘇𝗲 𝟭.
Most workloads do not need a GPU furnace.

So developers are doing the obvious.
They scale horizontally with Macs.

They keep data private.
They run models offline.

They pay indie prices for enterprise capability.
The irony is perfect.

The company accused of doing nothing in AI
might become the company that makes AI boringly deployable.

Are we watching Apple “catch up” or watching Apple win the constraints game again?

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>> 𝗔𝗜 𝗶𝘀 𝗻𝗼𝘁 𝗮 𝘁𝗼𝗼𝗹.
𝗜𝘁 𝗶𝘀 𝗮 𝗰𝗮𝗿𝗲𝗲𝗿 𝗲𝗾𝘂𝗮𝗹𝗶𝘇𝗲𝗿.

Jensen Huang called it: 𝗔𝗜 𝗶𝘀 𝘁𝗵𝗲 𝗴𝗿𝗲𝗮𝘁 𝗲𝗾𝘂𝗮𝗹𝗶𝘇𝗲𝗿. 
And the uncomfortable part is this.

A 20 year old with the right AI stack can compete with someone who spent 20 years building status, credentials, and process.

Not because the 20 year old is smarter.
Because the interface changed.

You can now rent expertise.
- AI as your tutor.
-AI as your researcher.
- AI as your writing partner.
- AI as your coding partner.

Tools like 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 are pushing “vibe coding” into real workflows. 

Medical copilots like 𝗢𝗽𝗲𝗻𝗘𝘃𝗶𝗱𝗲𝗻𝗰𝗲 bring evidence to the point of care. 

This is a redistribution of advantage.
The winners will not be the most experienced.
They will be the most 𝗔𝗜 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱.

Do you think AI is making things fairer
or just changing who gets left behind?

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Irina Shekhovtsova Hayley Grossman

>> The biggest risk with 𝐆𝐞𝐧𝐀𝐈 right now

isn’t missing out.

It’s 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐲𝐨𝐮’𝐫𝐞 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐚𝐡𝐞𝐚𝐝.
That assumption is where
𝐩𝐫𝐨𝐠𝐫𝐞𝐬𝐬 𝐪𝐮𝐢𝐞𝐭𝐥𝐲 𝐬𝐭𝐚𝐥𝐥𝐬.

The hype phase is over.
The 𝐫𝐞𝐚𝐥 𝐰𝐨𝐫𝐤 has begun.

Using prompts and 𝐩𝐮𝐛𝐥𝐢𝐜 𝐦𝐨𝐝𝐞𝐥𝐬
is now 𝐛𝐚𝐬𝐞𝐥𝐢𝐧𝐞, not an advantage.

What matters is how deeply AI is
𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐢𝐧𝐭𝐨 𝐫𝐞𝐚𝐥 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬.

Most teams are stuck in the middle.
They know how to 𝐜𝐡𝐚𝐭 𝐰𝐢𝐭𝐡 𝐦𝐨𝐝𝐞𝐥𝐬
but struggle to build
𝐝𝐚𝐭𝐚-𝐚𝐰𝐚𝐫𝐞, 𝐠𝐨𝐯𝐞𝐫𝐧𝐞𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬.

That gap will decide
who 𝐬𝐜𝐚𝐥𝐞𝐬
and who 𝐟𝐚𝐥𝐥𝐬 𝐛𝐞𝐡𝐢𝐧𝐝.

The next winners won’t just be
“𝐀𝐈 𝐩𝐞𝐨𝐩𝐥𝐞.”
They’ll be 𝐝𝐨𝐦𝐚𝐢𝐧 𝐞𝐱𝐩𝐞𝐫𝐭𝐬
who apply AI with 𝐩𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 inside their field.

𝐇𝐞𝐫𝐞’𝐬 𝐭𝐡𝐞 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐫𝐞𝐚𝐥𝐢𝐭𝐲:

• 𝐁𝐚𝐬𝐢𝐜𝐬 are mandatory, not differentiating
• 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 is the hardest and most valuable step
• 𝐀𝐠𝐞𝐧𝐭𝐬 + 𝐝𝐨𝐦𝐚𝐢𝐧 𝐦𝐚𝐬𝐭𝐞𝐫𝐲 define the future
• 𝐒𝐤𝐢𝐥𝐥𝐬 will depreciate faster than before

Which step of the 𝐆𝐞𝐧𝐀𝐈 𝐣𝐨𝐮𝐫𝐧𝐞𝐲
is taking most of your focus right now?

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♻️ Repost this to help your network.
Follow Dr. Joerg Storm for no-BS AI insights & tools.

>> 𝐓𝐡𝐞 𝐀𝐈 𝐏𝐥𝐚𝐲𝐛𝐨𝐨𝐤 𝐈𝐬 𝐁𝐞𝐢𝐧𝐠 𝐑𝐞𝐰𝐫𝐢𝐭𝐭𝐞𝐧

𝐚𝐧𝐝 𝐦𝐨𝐬𝐭 𝐥𝐞𝐚𝐝𝐞𝐫𝐬 𝐚𝐫𝐞 𝐧𝐨𝐭 𝐫𝐞𝐚𝐝𝐲.

AI is no longer a tool you “test.”
It’s becoming infrastructure - quietly reshaping healthcare, productivity, and who actually gets leverage.

In this week’s DIGITAL STORM weekly, we break down five shifts that matter to CEOs, CXOs, and founders:

🔹 CES 2026 made it undeniable: AI is no longer a feature — it’s the operating system of the physical world.

🔹 From chips and cars to robots and homes, Physical AI has moved from demos to deployment.

🔹 AI will create millions of jobs and erase millions more — reskilling is no longer optional, it’s survival.

🔹 The real winners won’t ship better tools, but stronger ecosystems spanning compute, data, energy, and trust.

🔹 As AI scales sameness, leaders who know what not to optimize will be the ones who stay premium.

This LinkedIn post gives you the signal.
The full analysis, resources, and playbooks live on Substack.

Why serious operators read DIGITAL STORM weekly on Substack:

1️⃣ Earlier access than LinkedIn
2️⃣ Full context, not summaries
3️⃣ Podcasts, eBooks, mega-prompts, and private resources
4️⃣ Optional Premium for less than the price of a coffee per month
5️⃣ 7-day free trial. Cancel anytime.

More than 557,000 decision-makers already follow DIGITAL STORM weekly.

👉 Subscribe here — but read it on Substack (also free but much better):
🔗 Subscribe now: https://lnkd.in/eFNvmcYa

PS: The risk isn’t AI replacing leaders.
The risk is leaders who don’t understand how fast the rules are changing.

🔁 Share this before your competitors internalize it first.

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#ai #genai #business #digitaltransformation #digital

>> Here’s the #1 thing most leaders misunderstand about AI agents.

They don’t improve interfaces.

They 𝗲𝗿𝗮𝘀𝗲 𝘁𝗵𝗲𝗺.

Eric Schmidt recently said
“User interfaces are going to go away.”

That should stop every CEO and product leader mid scroll.

Because AI agents do not need buttons.
- They speak language.
- They understand intent.
- They generate tools on demand.

For 50 years, we lived inside the WIMP model.
- Windows
- Icons
- Menus
- Pointers

It was a brilliant abstraction.
But it assumed humans must adapt to machines.
That assumption is breaking.

We are entering the age of 𝗲𝗽𝗵𝗲𝗺𝗲𝗿𝗮𝗹 𝗨𝗜.

You do not navigate software anymore.
You 𝗲𝘅𝗽𝗿𝗲𝘀𝘀 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀.

AI builds the interface only when needed.
Then it disappears.
- No dashboards.
- No eight layer menus.
- No static layouts.

This is not UX 2.0.
It is a 𝗻𝗲𝘄 𝗵𝘂𝗺𝗮𝗻 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗰𝗼𝗻𝘁𝗿𝗮𝗰𝘁.

The desktop killed the command line.
Touch killed the mouse.

AI agents may kill the interface itself.
Are you designing products for screens or for 𝗶𝗻𝘁𝗲𝗻𝘁?

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