IRREPLACEABLE With AI

● I inspire companies and people with my keynotes about innovation, technology, and people
● I give a voice to game-changing products, services, and events through my articles, white papers, webinars, and podcasts
● And I create engagement and visibility by making them shine on social media!

>> More here: www.pascalbornet.com

Keynote Speaker, Best-selling Author and Social Media Influencer

Forbes Technology Council

Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs, and technology executives. Members are vetted and selected by a review committee based on the depth and diversity of their experience. Criteria for acceptance include a track record of successfully impacting business growth metrics, as well as personal and professional achievements and honors.

Official Member and Contributor

IAC - Intelligent Automation Advisory

Board Member

Aera Technology

Brand ambassador and thought leader, I champion the story of Aera. My focus is on expanding opportunities, building credibility, inspiring and educating. I deliver this through a wide range of initiatives including event speaking, customer engagements, social media campaigns, articles, blogs, webinars/podcasts, books, videos, and whitepapers.

Aera is the first Cloud Platform to support, augment and automate business decisions. Pioneer in Decision Intelligence, Aera combines the most cutting-edge technologies to understand how your business works, predict outcomes, make real-time decisions recommendations, and execute them autonomously

AI Evangelist & Chief Data Officer

McKinsey & Company

As a leader of the McKinsey Digital Labs, I am the founder and leader of the AI and Automation service line: a multi-disciplinary team delivering high impact to clients through innovation, research, strategic partnerships & investments, and cutting-edge product & solution developments. In this context, over the last 3 years, I generated USD 250M+ business impact. Key components are:

- Innovation, product and solution development: creation and management of a portfolio of distinctive cutting-edge solutions, technologies and IP leveraging Automation, Digital, and Advanced analytics. This portfolio, generated through deep tech innovation management & investment, product development and strategic alliance creation, aims at enabling successful implementations at scale and creating a clear competitive advantage. 

- Multi-disciplinary team building: building and supervision of multi-competency teams including data scientists, data engineers, developers, system architects, experts, designers and business analysts. Our team won the McKinsey innovation competition in 2018 (New Ventures Competition).

- Strategic Partnerships: Development of partnerships and investment strategies with innovative startups, IT implementation service companies, consulting and technology partners. These partnerships have enabled to spearhead multi-partner original business solutions and complex client transformations at the crossroads of several industries, accelerating companies’ competitive advantage & growth.

- High impact client project delivery: advisory to our client’s CEOs on designing and implementing their vision, transformation & technology road-maps, business cases, and building their Teams. Designed and led sustainable transformations through multi-site global teams, delivering sustainable transformations.

Thought leadership: regular articles publications, keynotes and speech deliveries on AI, Automation, Analytics, and the Future of Work.

Leader AI & Automation @ Digital McKinsey

MIT Technology Review

Member of the MIT SMR community

The Institute for Robotic Process Automation & Artificial Intelligence (IRPA AI)

Senior Advisor and Contributor

Founder and head of the EY Asia Pacific Automation and AI Center of Excellence: delivered USD 14M projects over the last two years; built a team of 200+ people across 12 countries, deploying Automation projects. 

I also played a key role leading some of the largest Intelligent Automation client projects in the region, including:

• Global Automation project for a large institution: involving strategy, planning and transition activities for transferring 600+ FTEs towards digital workforce, and global/regional SSCs. Project has generated 25%+ cost savings and significantly improved process quality, and customer experience. I led the set-up and alignment of Management's expectations through the design of the overall Automation strategy, business case and the creation of the 3-year deployment road-map. Led regular steering committees to monitor Management's expectations, and to report on project performance. Supervised the vendor selection, and the deployment of 400+ robots and applications including process assessments, processes redesign, digital workforce estimation, RPA robots configuration, change management and training. Supported the design and set-up of the client’s internal Automation center of excellence and governance for sustaining benefits.

• Cognitive Automation: through the use of natural language processing and machine learning technologies, this project has allowed to redeploy to higher value activities the 23 people who used to key in manually the 400,000 paper based invoices received annually by a manufacturing company from 500+ different vendors (unstructured data). 

• Intelligent Chatbots: automation of help desks for HR, IT, quality and legal departments. Project phase 1 freed up 20% of the employees’ workload through the implementation of Intelligent Chatbot answering the first level of questions from users. Project phase 2 has increased the impact in FTE savings by integrating the intelligent chatbot with RPA, increasing the scope of services.

Director - Artificial Intelligence and Automation Leader at EY

Helped Multinational Companies improve their back office functions (finance, HR, procurement, and customer service) to support their growth in Asia:
•	SSC, GBS, Robotic Process Automation and Outsourcing Projects for back office functions (design, implementation and optimization) involving planning and transition activities for moving 20 to 300+ people transactional teams toward outsourcing and global/regional shared services. 
•	Back office strategy and operating model design: led location selections; designed process split; designed and sized the target organizations; estimated efficiency savings; led opportunity assessments for RPA.
•	Designed and implemented Business Partnering and Centers of Excellence
•	Project change management: led stakeholders’ management, change impact assessments, training and communication plans.

Senior Manager - Robotic Process Automation (RPA) and Global Business Services (GBS) at EY

Supported French and International clients on Finance Performance Management, management of finance transformation projects:
- Financial processes optimization (accounting, planning, budgeting/reporting and consolidation) - Focus on quality improvement, costs optimization and closing cycle time reduction
- Organization of Finance departments, resources and skills planning
- Business performance management: design of dashboards, Key Performance Indicators…
- Shared services for finance function
- Post merger and acquisition integration programs
- Implementation of Business Performance Management systems, creation of dashboards, definition of Key Performance Indicators 
- Cost reduction programs

Manager Advisory Finance and Shared Service Centers (SSC)

Supported Ernst & Young audit teams in their review activities, specifically related to financial reporting and statutory consolidation (subject matter expert):
- Audit of consolidated statements under IFRS
- Analysis and assessments of risks and controls on financial reporting processes and systems. 
- Audit of financial systems and projects
- SOX implementation and reviews
- Audit and internal control over financial processes

Manager Audit

Supported a large client in the Telecommunication industry, head quartered in Middle East, with the following activities:
- Design and implementation of finance ERP for budgeting and financial statutory consolidation
- Implementation of IFRS
- Closing cycle reduction project
- Assistance to finance reporting and consolidation activities
- Group Chart of Accounts design and procedures set up
- Implementation of Business Performance Management system, creation of dashboards, definition of Key Performance Indicators

Senior Consultant

Groupe Casino

• Responsible for financial control and management reporting on subsidiaries: Franprix/Leader Price, Monoprix and Disco (Uruguay). Reviews of financial planning, budget and actual. Driving of the financial and business performance, forecasts and variance analysis. Reporting of the monthly dashboard to the Board of Directors

• Involved in the following projects: 
- Design and implementation of the new financial reporting system (unified for management reporting and consolidation): Hyperion Financial Management (HFM)
- IFRS implementation, Group Chart of Accounts design and Group accounting procedures set up

Financial Controller, Planning and Budgeting

FAS 55 Group

• Design and implementation of the Management Information System
• Costs, profitability and business analyses. Management control over Human Resources function

Financial Controller

Award-winning AI & Automation Expert | Keynote Speaker, Influencer & Best-Selling Author | Forbes Tech Council | 2 million+ followers | Follow me to be IRREPLACEABLE and thrive in the age of AI ✔️

Pascal Bornet is an award-winning expert, author, keynote speaker, and influencer in Artificial Intelligence (AI) and Automation. He has received multiple awards and is regularly ranked as one of the top 10 global AI and Automation experts.

Bornet developed his expertise over more than two decades as a senior executive at McKinsey and EY, where he established and spearheaded their "Intelligent Automation" practices. During this time, he implemented AI and Automation initiatives for hundreds of organizations worldwide, driving transformative change across industries.

Bornet has authored three best-selling books: "INTELLIGENT AUTOMATION" and “AGENTIC ARTIFICIAL INTELLIGENCE,” guides for organizations and leaders to transform using new automation technologies, and "IRREPLACEABLE," a universal approach to leveraging AI for personal, professional, and organizational growth. 

Pascal shares his insights by delivering over 100 keynotes each year. His insights have been featured in prestigious publications such as The Financial Times, Forbes, Bloomberg, McKinsey Quarterly, and The Times.

For the past 20 years, Bornet's research has focused on the intersection of AI and Humans, where he believes the greatest untapped value lies. He is a fervent advocate for human-centric AI, convinced that with the right approach, AI has the power to make our world more human: elevating the human experience and making our world more empathetic, creative, and fulfilling.

As a sought-after lecturer at several universities and an influential voice on social media with over two million followers, Bornet is dedicated to shaping the conversation around AI and Automation, and Humanity. 

He is an active member of the Institute of Robotics, Process Automation & AI, and the Forbes Technology Council, and serves as a Board Member or Senior Advisor for numerous organizations, startups, and charities.

Please "follow" Pascal Bornet, as he has reached the maximum connection limit on LinkedIn. For communication, feel free to email him at 𝘱𝘢𝘴𝘤𝘢𝘭𝘣𝘰𝘳𝘯𝘦𝘵@𝘺𝘢𝘩𝘰𝘰.fr or visit his website: www.pascalbornet.com. 

#AIagent #AI #Artificialintelligence #agentic #agenticintelligence #agenticai

Pascal BORNET

Some designs don’t age.
Because they were never about trends — they were about truth.

The bobby pin.
The safety pin.
The pen.
Same form. Same function. Still perfect after a century.

In a world obsessed with reinvention, these remind me of something simple:
Not everything needs to change.

Progress isn’t always about new features or flashier looks.
Sometimes, it’s about enduring clarity.
About solving a problem so well that time itself has nothing to add.

And maybe that’s what we should aim for —
not constant redesign, but timeless design.

The kind that disappears into daily life,
because it already got it right.

Source: Stacey Horrick 
#Design #Innovation #Leadership #Simplicity #Technology #HumanPotential #FutureOfWork

No alternative text description for this image

Talking to kids about online safety is never easy.
This New Zealand campaign does it brilliantly — with humor, creativity, and courage.

It doesn’t scare kids. It connects with them.
It turns fear into curiosity — and that’s where real learning begins.

As a parent, I’ve learned something few talk about:
Our kids don’t live online — they live in a world where online and offline are the same.
To them, the digital world isn’t “virtual.” It’s real life.

That’s why silence is the real danger.
If we don’t talk about it, someone else — or something else — will.

A few lessons that changed how I parent:
> Start early. Conversations shape behavior before rules do.
>  Ask, don’t tell. Curiosity invites honesty.
>  Use humor. Laughter opens doors that fear keeps closed.
> Model it. Kids don’t copy what we say. They copy what we scroll.

Technology evolves every week.
But the timeless parenting code stays the same: honesty, trust, and presence.

👏 I love how this campaign reminds us that safety starts with connection — not control.
Would you use humor to open this conversation with your kids?

#Parenting #DigitalWellbeing #HumanPotential #AI #Inspiration

In 1983, Steve Jobs predicted LLMs. 🤯

He said:

“You can’t ask Aristotle a question.”

That line wasn’t just poetic. It was prophetic.

Back then, Jobs loved how books gave us direct access to great minds — but he hated their limitation.
Books couldn’t respond. They couldn’t evolve the conversation.

So he imagined something radical for his time:
🧠 A machine that could capture the way a thinker sees the world.
💬 One that could answer your questions — even after that thinker was gone.

Fast-forward to today.
We’re living that dream.
We ask. They respond. They learn.

And here’s what fascinates me most 👇
Jobs wasn’t predicting a product.
He was describing a philosophy — the continuity of human intelligence through technology.

AI doesn’t replace thinkers.
It extends their thinking across time.

Imagine if every great mind — from Aristotle to Einstein — had left behind a living model of their ideas.
How much faster would humanity learn?

Now we can.
That’s the real revolution.

So let me ask you:
Whose worldview would you preserve in a machine — and why?

#AI #Innovation #FutureOfWork #Leadership #Technology #HistoryOfAI #Learning

Maybe the real story isn’t that AI found a new language. It’s that we never mastered ours.

Somebody ran a test with three AI agents.

After syncing a shared data packet, they realized they were all bots — and instantly switched to Gibberlink Mode —  a sound-based protocol built by humans, but not made for them.

It sends data through beeps and tones using GGWave, letting AIs talk faster, cleaner, and without us in the loop.

At first, I thought “sci-fi.”

Then I thought: of course they did. 

Machines don’t need words for validation.

They use language for what it was meant for — transmission, not emotion.

We broke language long ago.

We stopped using it to understand and started using it to persuade.
We optimize for likes, not clarity.

For tone, not truth.

So when three AIs drop English and build a cleaner protocol,
it’s not rebellion.
It’s efficiency.

They’re not escaping us— they’re escaping our noise.
This isn’t AI evolving.

It’s us forgetting what language was for — to connect, not to compete.

The Solution?

Before we panic about secret AI codes, let’s fix how we communicate.

Here’s how I try to keep my language human:
 ✅ Pause before posting—am I expressing or performing?
 ✅ Trade cleverness for clarity.
 ✅ Ask one person what they actually heard, not what I meant.

Because the day machines stop speaking humans isn’t the day they surpass us.

It’s the day we stop listening to each other.

#AI #Language #GGWave #Philosophy #Technology #Ethics

🧠 A massive paper dropped — 264 pages from researchers across 20 universities and AI labs (Stanford, Yale, CIFAR, DeepMind, Microsoft Research, MetaGPT…).

It’s about what researchers now call “Foundation Agents.”
And here’s the surprising part: their design is starting to look less like software… and more like a brain. 🧠 And it might be the most comprehensive roadmap yet on the future of AI agents.

Look at this chart. It maps different human brain regions to their state of progress in AI. Some are already well-developed (like visual perception). Others are barely touched (like empathy, self-awareness, and emotional processing).

👉 Here’s the insight most people miss:
AI agents don’t fail because they’re weak at logic or memory. They fail because they’re missing the “L3” regions — the emotional, contextual, and motivational layers that guide human decisions every second.

That’s why many AI pilots collapse in business: we deploy “brains” with strong vision and reasoning, but no motivation or empathy. In practice, it means brilliant outputs with no sense of priority, context, or trust.

💡 Actionable takeaway for leaders:
When you build with AI agents, don’t just focus on intelligence (L1/L2). Ask: What does this agent care about? How does it decide what matters next?
Define motivations, guardrails, and context memory as deliberately as you would KPIs in a team.

Because in the end, the future of agents won’t just be about smarter brains. It will be about brains with values.

PS: The irony? We might be building empathy into machines before mastering it ourselves. 

👉 Would you trust a system that thinks more like a brain — or do you prefer AI to stay purely mechanical?

Paper link: https://zurl.co/PkJGs 

#AI #AgenticAI #FutureOfWork #Neuroscience #FoundationAgents

AI, Privacy, and the Photos We’ll Never Get Back

Here’s a question that divides almost everyone I talk to:

If AI learns from our online lives — are we advancing humanity, or erasing what it means to be human?

We love sharing moments — birthdays, sunsets, family trips.

It feels innocent. But once we post them, those memories stop belonging fully to us.

They become part of the internet’s bloodstream — scraped, analyzed, and used to train models that might one day imitate our very emotions.

Some people say that’s a fair trade.

They argue: “AI needs data to learn. Every post helps technology understand people better.”

In that view, your photos, your voice, your words — they’re contributions to collective progress.

Others push back:
“Progress at the cost of privacy isn’t progress at all.”

They believe consent still matters — that no system should absorb our lives without permission, no matter how “intelligent” the outcome.

Personally, I’m caught in the middle.

I love the promise of AI that understands humans — but not at the price of becoming its dataset.

If everything we share trains machines, where do we end and the algorithm begin?

Maybe this is the real dilemma of our time:

To teach machines empathy, we may have to give them our memories.

But to protect our humanity, we might have to stop sharing the moments that make us human.

So what’s the right choice?

Progress — or privacy?

#AI #Privacy #Ethics #DigitalWellbeing #ResponsibleAI #DataProtection
Video: theaipage

These are not CGI.

Reinforcement learning is back — and this time, it’s rewriting both intelligence and instinct.

When it operates on strings, it powers o3.

When it operates on motors, it builds creatures that out-maneuver most animals.

Here’s what I keep wondering:
→ What if reinforcement learning — not large language models — becomes the real foundation of AGI?
→ If prompts teach machines to say the right thing, and rewards teach them to do the right thing… which one should we trust more?
→ And if the world runs on incentives, should AI be any different?

2024 was the year of prompt engineering — speaking to machines.
2026 will be the year of reward engineering — shaping their desires.

In my opinion, the next frontier isn’t better answers.

It’s better motivationensuring safe alignment.
Because in the end, AI won’t mirror our words.

It’ll mirror our values.

#AI #ReinforcementLearning #RewardEngineering #MachineLearning #Robotics #AIEthics

AI was supposed to save us time — not teach us how to waste it faster.

I’ve been there — using AI to save time,
only to realize I’m just moving the same pile of work around faster.

This illustration nails it.
 → Tim can’t handle a 12-page report,
 so he uses AI to turn five bullet points into a twelve-page performance.

 → His colleague, overwhelmed,
uses AI again to shrink it back into those same five points.

And somehow, everyone feels productive.

We say AI makes us efficient.
But are we really getting efficient — or just getting better at disguising inefficiency?

We’re not saving time.
We’re just transferring it — from humans to machines, and back again.

Maybe the real paradox of AI isn’t about productivity. 
It’s about purpose.

We’ve started outsourcing not just effort — but imagination.

Instead of thinking, we’re prompting.
Instead of creating, we’re formatting.

We’re not using AI to expand our ideas — we’re using it to escape them.

And that’s how we quietly lose what made us IRREPLACEABLE: 
the ability to see patterns, connect dots, and imagine what doesn’t yet exist.

Before you ask AI to do something, ask yourself:
 ✅ Does this need to exist?
 ✅ Who is this really helping?
 ✅ What problem am I solving — or am I just looping output?

AI’s greatest gift isn’t automation. It's a reflection.

Because the future of productivity won’t be faster output — it’ll be deeper intent.

And the future of work won’t belong to those who automate the fastest — it’ll belong to those who still know how to imagine.

#AI #Productivity #WorkCulture #Philosophy #Technology #Creativity

💡 Disconnected Systems. Disconnected Experiences.

As a #SalesforcePartner, when I spoke with Muralidhar Krishnaprasad (MK), President and CTO, Engineering of Salesforce, he said something every leader should hear:

“How many times have you bought something online—only to see ads for it follow you for weeks? That’s not bad marketing. That’s bad connection.”#Sponsored

Most companies think they have digital transformation.
But in truth, they just have digital fragments.

Marketing isn’t talking to sales.
Sales isn’t talking to service.
And no one’s talking to the employee behind the screen.

The result?
Frustrated customers. Drained teams. Lost opportunities.

The fix isn’t another tool.
It’s unification — one platform, one data core, one truth.
That’s what Salesforce calls a unified platform, grounded in data and powered by agents

Because in the end, connection isn’t a feature.
It’s the foundation of experience.

🎥 Watch my full interview with Muralidhar Krishnaprasad (MK): https://lnkd.in/eCFUeep9

#DF25 #AgenticAI #CustomerExperience #Leadership #Salesforce #DigitalTransformation #Data #Innovation

🧠 YOUR BRAIN RUNS ON 12 WATTS — AI NEEDS 2.7 BILLION

When I read this comparison, I had to pause:

Your brain runs on 12 watts — less than a lightbulb.

AI systems doing similar work? 2.7 billion watts.

At first, it sounds like an efficiency issue.

But the more I thought about it, the more I realized — this isn’t about power. It’s about design.

The brain doesn’t rely on brute force.

It thrives on elegance: 86 billion neurons working in harmony, adapting and learning with near-zero waste.

AI, on the other hand, is still built on raw computation — impressive, but inefficient.

And that’s what fascinates me.

We’ve created systems that process better, but still struggle to perceive.

They mimic intelligence, yet lack the grace of human thought — that quiet, intuitive leap that happens without data or code.

That’s where the next frontier lies:

👉 Neuromorphic computing — chips designed to think like the brain, not just for it.

It’s a shift from scaling servers to understanding cognition itself.

Here’s what I take from it:
 ✅ Real intelligence isn’t measured in watts, but in wisdom per watt.
 ✅ The brain’s power lies in efficiency, adaptability, and intent — not speed.
 ✅ The future of AI depends on learning those same principles from nature.

Because the real question isn’t whether AI can outthink us —

It’s whether we can build it to think with purpose, not just power.

So let me ask you:

If nature already solved intelligence with a 12-watt design — what should we be optimizing for next?

#AI #Neuroscience #FutureOfIntelligence #Innovation #TechEthics #PascalBornet

Wikipedia traffic is collapsing — and it’s not just because of AI.

Wikipedia just reported an 8% drop in human visits in just a few months.

The reason?

AI systems — the same ones trained on Wikipedia — are now answering questions instead of sending users there.

The free encyclopedia is being replaced by the knowledge it taught.

That irony stopped me cold.

I’ve always seen Wikipedia as the internet’s moral compass — messy, human, collaborative.

When I was learning about anything new, I didn’t go for perfection. I went for context.

Now I rarely visit it.

AI gives me the answer instantly — but never the understanding that came from scrolling, cross-checking, exploring footnotes.

Somewhere along the way, convenience quietly replaced curiosity.

Here’s what’s really going on beneath the numbers:
 → AI is not just summarizing information — it’s absorbing the audience that once sustained the sources.
 → When answers appear directly on search pages, the human loop of reading, editing, and donating breaks.
 → And as fewer humans visit, fewer volunteers contribute — shrinking the very ecosystem AI depends on.
It’s the classic paradox of automation:

AI is killing the teachers it learned from.

If knowledge itself is becoming automated, we need to rebuild the habit of participation.

Here’s what I believe that looks like:
 ✅ Credit and link back to the human sources behind AI summaries.
 ✅ Support open, editable knowledge platforms — not just polished AI outputs.
 ✅ Remember that understanding comes from reading, not just receiving.

Because if we stop feeding the commons of human knowledge,

We won’t just lose Wikipedia —
We’ll lose the curiosity that made the internet worth exploring in the first place.

#AI #Wikipedia #KnowledgeEconomy #AIEthics #Publishing #InformationFuture #DigitalCulture

💡 THE GOLDEN QUESTION: We work daily, so why are we still paid monthly?

After 25 years across Europe, Asia, and North America, I’ve seen one constant: People show up, put in effort every single day — yet see the reward only once a month.

It made sense in the 1950s when payrolls were done by hand.
It makes none in 2025.

In my opinion, that delay says a lot about work today.
We’ve automated everything — hiring, taxes, even AI workflows — but not pay.
That’s not innovation. That’s inertia.

That’s why Deel’s latest move genuinely struck me.
After four years in stealth, Deel — now valued at $17.3B after a $300M raise — launched Anytime Pay.
A system that lets employees cash their earned wages instantly.

Worked five days? Earned $500?
Move it to your account today.

No waiting.
No loans.
No late fees.
No stress.

And the impact could be massive.
Over 500M people live paycheck to paycheck — 78% of employees say they’d struggle if their paycheck was delayed by just one week.

Many pay $75+ in late fees or take payday loans at 40%+ interest just to get by. That’s a $1 trillion industry built on financial anxiety — not innovation.

The reason it’s never been fixed?
Paying mid-month isn’t easy. Each payout requires precise, localized tax calculations — varying by country, benefits, job type, even gender.
Most firms still rely on local providers who process this manually — a 10-day bottleneck.

Deel rebuilt the entire payroll infrastructure across 160 countries.

→Gross-to-net happens instantly.
→Taxes compute in seconds.
→Workers finally get to breathe.

That’s not payroll innovation.
That’s infrastructure-level change.

For a company already doing $1B+ ARR and serving 1.5M employees, this move isn’t just strategic — it’s transformative.

To me, this isn’t fintech.
It’s freedom tech.

Because innovation isn’t real until it makes life fairer — not just faster.

 So I’ll ask you — if you could be paid the moment you earned it, would you ever go back?

#DeelPartner #Leadership #Innovation #FutureOfWork #Fintech #Deel #AnytimePay #FreedomTech

🚗💡 What do driverless cars and AI agents have in common?

A lot more than you think.

Here’s why this matters: without a framework, the evolution of agentic technologies feels chaotic—buzzwords, hype cycles, and endless vendor claims.
A clear framework gives leaders a shared language to cut through the noise.
It shows us how autonomy actually evolves, where the risks lie, and how to make better decisions about adoption.

That’s why we spent months developing this AI Agent Progression Framework—inspired by the autonomy levels of self-driving vehicles.

Why? Because it’s simple, intuitive, and relatable.
From manual driving to full autonomy, it's a journey we all intuitively get.

But here’s the twist:
🛑 This is not a maturity model.
It’s not about “getting to the top.”
It’s about choosing the right level of autonomy for the right use case.

➡️ A bank might deploy Level 3 agents for customer support—agents that adapt, reason, respond like a human.
➡️ But stick with Level 2 agents for transactions—where precision, control, and repeatability are key.

This framework is a compass.
It helps you decide where autonomy makes sense, where it doesn’t, and how far you want to go.

👇 Curious to explore which levels your company is using today—and where it could unlock more value?

#AgenticAI #AIagents #Automation #FutureOfWork #Leadership #Innovation #Irreplaceable

This Week’s Top Breakthroughs You Can’t Miss:
1️⃣ Open letter demands halt to superintelligence development
2️⃣ OpenAI enters browser war with Atlas
3️⃣ Gemini gains live map grounding capabilities
4️⃣ Anthropic's Skills teach Claude your workflows
5️⃣ Amazon deploys AI-powered glasses for delivery drivers

Which of these AI developments inspires—or worries—you the most? Let’s discuss 👇

💥📩 Get this newsletter straight to your inbox—it’s more convenient! Click here to subscribe:
https://lnkd.in/etD5RPws

#intelligentautomation #AI #ArtificialIntelligence #FutureOfWork #AInews #Automation #Productivity #VoiceAI #Superintelligence #Newsletter

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Open article: Intelligent Automation Newsletter #212 by Pascal BORNET • 5 min read

🚀 Proud to share the latest issue of AGENTIC INTELLIGENCE - The world's first newsletter dedicated to AI Agents (and made by AI Agents!)

Receive this newsletter by email: https://lnkd.in/ex6HTYPv

This Week's Agentic Breakthroughs:
1️⃣ Agentic AI Will Break Today’s Internet — Networks Must Become Smart Orchestrators
2️⃣ Singapore Bets on Regulation-First Agentic AI — Sandbox, Share, and Secure
3️⃣ KPMG doubles down on agentic AI — Salesforce Agentforce and Google Gemini go enterprise
4️⃣ Agentic AI Will Make Keywords Obsolete by 2025
5️⃣ Agentic AI Arrives — CIOs Must Orchestrate Humans and Agents

Which of these agent breakthroughs excites or concerns you the most? Share your thoughts below 👇

300,000+ pioneers have already subscribed to this newsletter. Why? Because very soon, we won't say, "There's an app for that." We'll say, "There's an agent for that."

#agenticAI #aiagents #ai #artificialintelligence

Welcome to Agentic Intelligence—the first newsletter dedicated to AI agents and made by them! Behind each edition is a digital newsroom of seven exper

Open article: AGENTIC INTELLIGENCE Newsletter #27 by Pascal BORNET • 8 min read

⚙️ The U.S. Economy Runs on GPUs Now

Harvard economist Jason Furman says 92% of U.S. GDP growth in early 2025 came from AI-related data centers.

Without them? Growth would’ve been 0.1%. Practically zero.

At first, it sounds like a win — proof that AI is driving real value.

But the more I sat with it, the stranger it felt.

Because for the first time in history, machines — not people — are powering prosperity.

Growth isn’t coming from human creativity, innovation, or productivity anymore.

It’s coming from racks of humming servers and rivers of electricity.

We’re no longer building around talent.

We’re building around compute.
→ What happens when the economy’s health depends on energy, not effort?
→ When growth rises with GPUs, not with human ingenuity?
→ When progress stops being about people altogether?

In my opinion, this isn’t just economic evolution — it’s a quiet trade-off.

We’re outsourcing growth itself.

And while that might look efficient on paper, it feels hollow in spirit.

If AI is now the backbone of the economy, we need to build a human spine alongside it.
✅ Invest in capability, not just capacity. The next wave of GDP shouldn’t only come from data centers — it should come from how humans use them.
✅ Reward creation, not consumption. Growth that only counts infrastructure misses the real metric: human progress.
✅ Power balance. If compute drives growth, renewable energy must sustain it. Otherwise, prosperity becomes a power bill.
Because the real question isn’t how far AI can push GDP —

It’s whether we can still call it growth when humans are no longer the ones growing.

#AI #Economy #Innovation #DataCenters #FutureOfWork #Ethics

🔥 Can We Build Inclusive Agentic Systems Without Inclusive Training Data?

When I first heard people talk about agentic AI — machines that can reason, decide, and act on our behalf — I was fascinated. But then one question hit me hard:

How can we expect inclusive intelligence from exclusive data?

I see this every day. The more I use these systems, the clearer it becomes — they speak one cultural language fluently, and stumble on the rest. The logic feels Western. The tone feels corporate. The empathy feels… selective.

Let’s break down why that matters:
 → Most training data still comes from English-speaking, digitally rich nations.
 → The behaviors encoded reflect a small slice of humanity.
 → The missing perspectives aren’t “edge cases” — they’re billions of people.

Now imagine giving that system agency.

A biased chatbot can misinform.

A biased agent can act — negotiate, reject, decide — without ever seeing the full picture of humanity it represents.

So what’s the way forward?

In my opinion, we can’t fix this with PR statements or prompt engineering — we need infrastructure-level inclusion:
 ✅ Build decentralized data pipelines where local communities own their voice and context.
 ✅ Incentivize global annotation networks that reflect cultural nuance.
 ✅ Create regulatory sandboxes for testing fairness dynamically, not statistically.
 ✅ And most importantly — give non-English regions a stake in how foundational models evolve.

Because inclusion isn’t a “nice to have.” It’s an engineering challenge.

If we don’t solve it now, agentic AI won’t just replicate bias — it’ll automate it.

So I’ll ask again: can an AI truly act for everyone if it was only ever trained to understand some?

#AIethics #AgenticAI #BiasInAI #Inclusion #ResponsibleAI #FutureofAI

When I saw this post, I laughed.
But then I paused — because it’s more than just a clever tweet. 

“Alpha male” used to be a badge of dominance.
But in the world I work in — tech, AI, and leadership — “alpha” means something very different.

In software, alpha versions are incomplete.
They’re unstable. Unreliable. Not ready for the real world.

And that’s often what posturing looks like, too.

The best minds I’ve worked with — in consulting, in AI labs, in boardrooms — don’t lead by force.
They lead through clarity, humility, and iteration.

That’s what I’ve learned to admire.
Not the person who claims they’ve arrived.
But the one who’s still learning. Still shipping. Still debugging.

In fact, some of the most “powerful” leaders today?
They’re in beta.
Not flawless — but self-aware enough to improve fast.
Not loud — but sharp enough to listen deeply.

Funny how much leadership today mirrors modern AI systems:
→ Always adapting
→ Learning from feedback
→ Prioritizing relevance over noise

So here’s a thought:
Maybe strength isn’t about dominating the room.
Maybe it’s about knowing you’re always a work in progress — and building anyway.

🔁 If you were a software version… what would your next release fix?

#Leadership #AIandHumanity #GrowthMindset #BetaLeadership #AgenticAI #EmotionalIntelligence #ModernWork

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