Introduction

This is the first thing.

From Automation to Augmentation

So very quickly about Homo Promptus, I told you about the mission.

We have one mission which is really to augment, to make win the culture of augmentation rather

than automation.

So indeed to adopt this AI in a human -centered but intentional way.

And we are looking at beyond the technology, what is changing in an organization, especially

for the business leaders.

So we talked tonight a lot about the leaders on our side.

What are the new responsibilities of the leaders?

The New Responsibilities of Leaders

The first thing, it's simple, is the center of gravity of leadership has shifted already.

We know knowledge, especially the curated knowledge, is abundant now.

Everyone can get access to, we're discussing that, about very deep analyses very quickly.

And the second is interpretation becomes scarce.

course, making sense of the complexity, it's what's going to differentiate all of us.

And the third is like meanings, and that's a good news, remains human, and we will decide

what is relevant, what is ethical, what is important.

We are not going to outsource that, but these values are going to be challenged by AI.

Agency as the New Frontier

And the last one is agency is the new frontier.

year the leader must use this intelligent system but they need to orchestrate it with intention

and that was not clear and we will see the result what was our role with ai so it's a that's why i

say uh right is the leaders they really need to change completely their cognitive postures

i would say not only the leaders all of us and there is a major paradox every week we hear new

new AI tools, we see that adoption is growing everywhere

very fast.

Why AI Initiatives Fail

And yet, we have failure rates that remain extremely high.

These are all reports.

You must have seen that in the past years,

high level of projects that are abandoned,

high level of initiative that failed, value delivery lower,

pilot failure above 95%.

Treating AI as a Tech Project

And the main reason is because most of the organizations, they still, right now, approach

AI like a technological project.

The key question they ask themselves is, which tools should you use?

Which process should automate?

Who should own that?

We still have this conversation.

I still have now, and I drop this question, asking, which tools do you use?

It's like to ask, which laptop do you use to understand what you're doing?

It’s a Cognitive Transformation

And so the AI adoption is not an IT upgrade, it's a business transformation, and it's even

deeper a cognitive transformation.

So AI project, they fail because the technology, it's not the technology barriers, we have

major barriers in terms of the process, the organization, and even deeper the human and

cultural barrier, which have not been framed in all these pilots.

So this is what we wrote is when the transformation fails, the moment it forgets the humans, it was meant to empower.

Forgetting the Humans

I was in Geneva last week.

I had three CIOs for 30 minutes talking about AI adoption strategy.

And in 20 minutes, no one used the word people and business.

That was for me the best way to say why it's failing.

Two Transformations: Individual and Organizational

So there are two transformations.

There is one individual.

Becoming Homo Promptus

We are all going to become homopromptus.

We are homo sapiens for 300 ,000 years.

Knowledge was our superpower.

That was what was differentiating us.

It was the people who know.

Today, AI knows everything faster than you can type.

So the next step for evolution for human beings is definitely not to get stronger memory or to get more information.

information, it's better questions.

So the homo promptus is the one who naturally prompts, the one who orchestrates information

and the collaboration between AI and humans, challenges the machine, co -creates intentionally,

and blends intuition with computational power.

It's a lot of work, but it's a completely different power than the one of the homo sapiens.

Hybrid Intelligence: One Brain, Two Minds

One brain, two minds, one hybrid intelligence.

Your hybrid intelligence will be different than the others.

We won't have the same hybrid intelligence.

So, the future belongs to the one who can harmonize intuition and computation, creativity

and scale, context and analysis.

Leading Hybrid Organizations

And the transformation is not on the individual level, this is the challenge for the leader,

we are not going to work in some way, guess what?

Managing homopromptus, organization, hybrid organization of homopromptus and agent is

going to be very different than the way we are now, so they need to develop an AI native

culture.

I didn't put the definition there.

So what is really changing for us, I say you should have put us, I mean I'm not that different, but in the past two, three years of experimentation we start seeing initial trends and the first truth.

Emerging Truths from the Field

AI Replaces Tasks, Not People

First, AI is replacing tasks, that's true, not people.

It's because we link people to tasks that we have these big titles it's going to replace.

It's replacing tasks and it's rewiring every job, that's true.

Bottom-Up Innovation and Zero-Cost Prototyping

the second one is innovation is coming from the bottom bottom up and driven by b2c this is quite

unique we have seen all the wave of digital transformation mainly driven by b2b and mainly

the innovation was coming from the top the leaders are clueless that's also the reason it's a mayhem

of the pilot because they cannot even give guidance those who are at the bottom they know

more how this AI can be useful, but they don't have the guidance on the top.

Another one, and we discuss that a lot, is the zero -cost prototyping that reshuffle business.

Both business IT is extremely easy and costless to develop anything.

You were telling me about developing not only an app, a website, any tool, you don't need

money.

Now, before to do a business plan, a market research, an idea of business, you will need

need six months, $10 ,000, $20 ,000.

1Now you do that in one day, $0.

What is expensive is when you bring that to scale.

So that changed, obviously, a lot of things in the

conversation.

The Real Divide: Thinking With vs. Using AI

And the fourth one is what I was mentioning, is actually

the cognitive and the cultural gap that will matter more than

the technology gap.

The real divided, the real digital divided, will be

between the one who think with AI and the one who use AI.

Rather than use the one who use AI, not you.

everybody will be using AI but there are some they will be using to think with AI

Turbulence Ahead: Jobs, Skills, and Hiring

and some just to delegate to AI so let's be honest in the next two two years yes

you will say something okay next two years is gonna be tough for everybody so

when I hear say is on now my job is not it's gonna be not easy because this

transformation is for everybody we know hiring is freezing now is they are

blocking all the entry -level roles I was in Bruxelles there was a lady who

finished the master and she told me no one in my batch has found a job after three months that

never happened they are freezing all the the entry i'm sorry i know i know i shouldn't say that to

you but you know that better than me don't worry it's going to be the same situation soon now is

the entry level after is also the high skill role so there will be more competition for your job so

there are new skills that are much more important and we monitor companies who are much more

more advanced and progressives in the AI, they change the way they assess people.

What Companies Now Assess

They are looking at your capacity in a methodical way to leverage AI.

And I saw even interviews are very different than what we experience.

AI-First Instinct

First, AI first instinct, the capacity to start thinking with AI,

not getting to AI when you're stuck.

Easy to say, it happened a lot when we talked, we forgot to do that.

Hybrid Intelligence

Second is hybrid intelligence, knowing how to think with AI.

so yes there is a method there is barriers that you need to to break to go there the third one

Metacognition

is extremely important is very difficult is metacognition it's understanding how you think

and how you learn thank to AI it's an amazing cognitive mirror scaffold you can really understand

we were discussing that you know I understood myself AI explained that myself in a way that

that I couldn't have imagined.

Rapid Creation

And the last one is rapid creation,

turning idea into prototype fast.

As I was saying, this is important.

This shouldn't be a philosophical or existential

journey.

You can really do stuff.

So these are kind of skills that will

help you to be relevant in doing this transformation.

Four Meta-Skills for Effective Collaboration

So posture is before the technique.

To collaborate effectively with AI,

we identify four meta skills.

Prompt Literacy as Intent Expression

Obviously, the prompt literacy, but not only

only the art of prompting, is really the ability to express

an intent clearly, combining linguistic precision, empathy,

and framing.

And you see that the collaboration is definitely

exponentially increased.

Synthetic Intuition

Synthetic intuition, as well, is to merging your human

contextual judgment and the machine -generated

hypothesis.

Even when you know, even when you have experience, the

the machine will give you scenario you couldn't imagine.

When you combine this, it's extremely powerful.

Discernment

Discernment, we discussed that a lot.

Capacity to figure out, to spotting bias,

recognizing illusory pattern, but also to understand

when you're having something intelligent as a conversation,

when it's in the right direction,

this as well is something you need there.

Co-Creativity and Depth of Dialogue

And the last one is co -creativity.

It's engaging in this interactive dialogue

where ideas evolve between human and model.

there was two statistics that really struck me in 2024 the average shot or

interaction was like one point something then this year is 2 .7 if we believe AI

is like to have a smart friend how much you can get out of a conversation when

you only ask or interact 2 .7 time most of us we don't go further three or four

interaction and is actually as you know when you are in dialogue in interactive

dialogue after half an hour it's exponential the the level of insight I

leave to material we also develop a methodology to prompt in a different way

Building the Right Posture

you I let you but thanks Henry so how to build a nutshell that posture that Henry

The Five Professional Senses

mentioned so at home campus we we look at what professionals actually do

cognitively not by jump function but by patterns of thinking and we found that

actually every profession every expertise is built on top of five

cognitive senses the first one analyze is making sense of complexity the second

Second one, design is basically about structuring ideas, solutions, etc.

Then comes decision making, decide, weighing trade -offs and committing to your decision.

Then create, which is imagining, reframing and generating.

And finally, last but not least, improve refining iterating learning.

So, of course, these senses existing long before AI and they are what define us as humans and professionals.

But now with AI, there is a possibility to improve each of these senses dramatically.

If we engage AI intentionally, as Henry said.

So before touching any tool, please ask yourself first, which sense am I activating right now?

What kind of thinking process I expect the model to amplify?

This is actually where your journey to intentionality begins.

From Senses to Agents

Step 2.

Once you combine one of the professional senses with a role, an objective, something powerful happens.

Actually, you are just designing your first AI agents that will behave as extension of your cognition.

For example, an analyst agent that can challenge your assumptions, no matter your level on the corporate ladder.

A designer agent that structures plans, workflows, etc.

A decision agent that will simulate the trade -offs that you are looking at, for example.

A creative agent that will reframe your ideas to adapt them to the best to your target audience, for example.

And of course, the improvement agent that will refine and iterate constantly.

So agents are not magic.

They are basically the structured expression of your thinking posture.

And when leaders, they learn to design agents this way, AI, as Henry said, stops being a tool.

It becomes a part of the cognitive capabilities of your organization.

This is a target.

What To Do Tomorrow Morning

So what should we do?

What should you do tomorrow morning?

Three Practical Moves

Three things.

Very simple.

1Before starting every task, choose clearly your role, objective and professional sense.

Don't open your AI tool until you have done it.

Two, use AI to clarify thinking, not to replace it.

And ask AI how it can help you to improve, to explore your assumptions, to map trade -offs, test IDs, etc.

And three, very important one, measure progress differently.

Not in terms of time saved, but in terms of quality of questions, clarity of reasoning, speed for prototyping.

Conclusion and Next Steps

hybrid intelligence it's definitely a practice and it every time you do it it gets better

Key Takeaways for Leaders

so we close with a few takeaways so clearly ai is not here to to replace the leader but the leaders

have to do some homework here they have to learn to think with the eye and obviously the the the

leaders who don't use ai is going to be they are going to be replaced they're going to be out of

the the relevancy you don't need more tools i think we now we realize we have a lot of technology

there is another tool is what is missing is intentionality and so the point is smart start

small start building your approach we will all have different approach the role the objective

and the professional sense and build up on this and if you repeat this day after day your

organization will develop a strategy for selecting training integrating your ai agents and it will

We will develop a strategy that will be built on human judgment, not hype or some specific tools.

And this is how collaboration with AI becomes natural, fluid, and very powerful.

Stay Connected and Keep the Dialogue Going

And we have a last ask.

Please contact us, connect with us.

If you have questions and would like to hear your voice, your experience as well on AI, your doubts, your fears,

we are very interested as well.

We come out sometimes here.

an event like this one is to hear your story so feel free to reach out to us don't be shy

follow us connect us tell a I disagree because ABC love to hear that not not

tonight because I had enough today but but okay it's your good is that good for you