Categories
Architecture Automation Business Career Digital Augmention Digital Transformation Technology Wisdom

Don’t Just Hire Talent, “Save” It: How Automation and Al Turn Human Wisdom into a Permanent Asset

Over the past twenty years, working across a diverse array of companies, countries, and industries, I have observed a recurring pattern regarding how organizations succeed—and how they fail. I want to share a piece of wisdom that has become the cornerstone of my professional philosophy: in order to perform better continuously, an enterprise must maintain its excellence level on a continuous basis. This sounds simple, yet it is one of the most difficult feats to achieve in business. It is precisely why I push so hard for the automation of systems.

To understand why automation is not merely a technical choice but a strategic and conscious discipline, we must first decompose how organizations function, how they fail to retain knowledge, and how they can finally begin to benefit from the power of compounding wisdom.

The Fragility of Process in the Modern Enterprise

When an organization reaches a certain level of maturity, it naturally attempts to create explicit processes. At its core, a process is the systemization of a recurrent activity. Whether it is a service provided to an external customer or an internal function serving another department, a process is something that should be repeatable, measurable, and improvable.

In industries such as automobile manufacturing, garment production, or retail goods, establishing these processes is relatively straightforward. There is a definite production chain or supply chain. Efficiency is baked into the unit cost; therefore, the systemization is survival. However, in “softer” industries (like finance, healthcare, or artisanal services) defining and maintaining processes is notoriously difficult.

The strength of these industries is their agility; their supply chains can adapt quickly to market shifts. But this adaptation is also their greatest weakness. Flexibility introduces mistakes, exceptions, and variations. Because these organizations often prioritize unit productivity (the immediate output of a single worker) at the detriment of large-scale, long-term productivity, the “correct” way of doing things is easily forgotten. The process exists in the air, rather than in the foundation.

The Talent Paradox and the “Maturity Point” Drain

In these less-automated environments, the capacity to scale and the maturity of the enterprise rely directly upon the people: their knowledge, their craft, and their level of experience.

We all know the effort it takes to build a high-performance team. It requires strong leadership, time, and stability. From a management perspective, you are playing a complex game of alignment: you must have the right people at the right time, nurture their growth, and accommodate their personal ambitions.

But here is the inherent risk: when your maturity depends entirely on individual performance, your organizational excellence is volatile. Whenever a talented individual changes teams or leaves the enterprise, you are not just losing a headcount; you are subtracting “maturity points.” You regress.

Managers are often tasked with retaining this level of maturity through staffing and recruitment, but this is a flawed strategy if used in isolation. We must realize that recruitment is a quality game, not a quantity game. In fact, as demonstrated by Brooks’s Law and the Ringelmann Effect, adding more people does not create a linear factor in scaling output; in fact, as many studies have shown, increasing headcount can actually decrease productivity at certain thresholds. Relying solely on a “high-talent” strategy is a precarious way to run a business because the market is open, and talent is mobile. If your craft is not persisted within the organization itself, your excellence is on loan, not owned.

Automation as the “Cushion” of Continuity

This is where the automation of systems becomes transformative. I foster automation not just for speed, but because it guarantees a “flooring” of quality.

Think of automation as a foundational cushion: a persistent layer that ensures the enterprise maintains continuity and reliability of service over time, regardless of personnel shifts. When we automate a system, the knowledge is persisted; it is entrenched in the code and the digital architecture. It becomes a permanent asset of the enterprise (corporate memory) that does not vary according to who was hired this morning or who resigned yesterday.

An automated system provides several unique qualities:

1. Persistence of Craft: The “know-how” of your best experts is codified. It becomes an inherited asset.

2. Unbiased Introspection: As long as you have a grasp on the code, the system is transparent. You can measure input, transition, and output data without the bias of human ego or memory lapse. You can introspect it to see exactly where a failure occurred.

3. Transferability: Because the knowledge is explicit rather than tacit, it can be transferred between organizations, even during changes in leadership or shifts in strategy. It remains a “persisted asset” that survives the corporate lifecycle.

The Ultimate Configuration: Experts, Systems, and Al

Of course, automation does not replace the need for talent. The best possible configuration for an enterprise is a symbiotic relationship between human experts and automated systems.

In the ideal scenario, your senior experts are not bogged down by the manual execution of repetitive processes. Instead, they are freed to innovate, to open new paths to the future, and to teach younger talents how to craft their own paths. The experts focus on the “holistic system”-the intersection of human, digital, and physical processes-to yield better results.

We are now entering a new era with Artificial Intelligence that adds another layer to this “cushion.” Al allows us to mimic the output of an expert within the boundaries of specific tasks. It enables the “offloading” of part of the wisdom that an expert has grown over decades.

This is how a company achieves the power of compounding wisdom. By systematizing and automating, you ensure that every lesson learned is “saved” into the system. You are no longer starting from zero every time a senior employee retires. You are building a mountain of knowledge where the baseline for the next generation is higher than the peak of the last.

The Role of the Architect and the Risk of Short-Termism

With the advent of Generative Al and agent-based code generation, the ability to change and improve these systems is accelerating. We can now alter processes using natural language, requiring far less energy and manual coding effort than before.

However, this ease of change necessitates a “system thinking” approach. You still need an “architect-minded” individual at the helm. If you impact a holistic system without understanding the interdependencies, the damage can be greater and faster than ever before.

This leads me to a final warning for leadership. Throughout my 20+ years of observation, I have seen companies suddenly lose efficiency, and the impact is almost always linked to a loss of maturity in key roles, specifically Business Experts, experienced Engineers, and, most critically, Enterprise Architects.

When a company loses its “architectural memory,” the damage is significant, but it is not immediate. It is a gradual, silent erosion of excellence. Unfortunately, by the time management realizes the system has degraded, it is often too late. They might save on “OpEx” (Operating Expenses) in the short term by reducing workforce or cutting these “high-maturity” roles without a backup plan, but this is simply a short-term debt. It is a trade-off that becomes incredibly costly when the “cushion” of the organization’s reliability finally bottoms out.

Conclusion: Securing the Future

Excellence is not a destination; it is a level that must be maintained. If your organization relies solely on the brilliance of individuals, you are building on sand.

To ensure business continuity and continuous

system improvement, you must turn your processes into persisted assets. This capacity to systematize should be the demonstrable proof of your managers’ quality. A true leader does not make themselves indispensable; they build a machine that works without them. You must automate to create a floor for your quality. By doing so, you protect the enterprise against the volatility of the talent market and create a foundation upon which true, compounding wisdom can be built.

My challenge to you is this: Look at your most critical value streams. If your best person left tomorrow, would the process remain, or would it vanish with them? If the answer is the latter, it is time to start automating. Entrench your craft in your systems, and give your organization the cushion it needs to survive and thrive.

Yannick HUCHARD

Categories
Technology Artificial Intelligence Business Innovation personal development Questioning Self development Wisdom

The Art of Questioning: How One Well-Crafted Question Can Significantly Improve Your Life (and Everyone Around You)

“There is no dumb question, only dumb answers”

This is what my teacher told me when I was in primary school. This simple yet powerful sentence cancelled my fear of looking stupid when asking questions whenever I felt the need to.

Today, in my leadership position, I regularly ask questions for various reasons. The primary motive is that leading within the realm of excellence requires understanding the situation and bridging it with objectives you must reach. Then, it is about delivering a simple message, built on the why, how and what so that your peers understand the mission and have all the elements to make it happen. Everything happens for a reason, my responsibility lies in exposing the reason, taking decisions, and consequently triggering actions.

The second motive is that I need to understand the depth of systems and I simply LOVE acquiring knowledge. This fuels my motivation. It is like filling an endless toolbox that helps me to invent, build, compose, and innovate. I guess it is the scientist and the engineer parts in me. And I am still curious about life as a 4-year-old kid. All innovation starts with the same question: ‘How do we solve this problem?’ This question launches startups and is the mother of all technological advancements.

The sentence I use the most is « I don’t understand, can you explain, please? ». it is about being aware there are a variety of things to discover, then there are many different points of view, outmatched by ways of thinking. What fascinates me the most is when people share their experiences. I am also conscious that my interlocutor’s sentences and my very own understanding are two sides of the conversation. The point is, that it’s not always smooth communication.

It is about finding the right channel and angle.

It is about finding the right tempo and timing.

In this situation, I use the almighty Question Mark, a weapon created eons ago as powerful as Thoth’s Caduceus.

“I am just a child who has never grown up. I keep asking these ‘how’ and ‘why’ questions. Occasionally, I find an answer “

Stephen Hawking

Yes, the question mark, a single-character sign, possesses this power. Just like a math unary operator, it is a linguistic operator that empowers you with multiple abilities. And here they are:

Expanding knowledge by the means of asking a question. The brain has the habit of filling the gaps of ignorance using analytical skills, an association of concepts, and similarities. While it works more often than one thinks, it is inaccurate, even misleading sometimes. By gaining more awareness about this innate mechanism, we tend to cover gaps by following the foundational maxim, “If you don’t know, ask”. The Bible said it in another way “Ask, and thou shalt receive.”.

Assert or confirm a statement by seeking a true or false answer, increasing the force of your internal knowledge system. English has this nice reverse interrogation formulation where the auxiliary and the pronoun are inverted. For example: “The dog was cleaned, wasn’t it?” or “The Internet is the most powerful network, isn’t it?”. Another technique consists of using “be” as a tool for opening the field of possibilities for answers, meaning one can respond by confirming or infirming with a piece of complementary information. For example: “Was it Descartes who once said ‘I think, therefore I am’?”. Here, I tend to see the question mark as an invitation to conclude a contract of trust: my understanding is acknowledged; therefore, I trust your words. 

It forces action through suggestions. When one says “You are going to do it, aren’t you?”, you give that push that will trigger the intended cascade of events.

You can use a question mark to invite someone to do something or join you. For instance, “If you have time, would you like to have dinner tonight?”. This is a gentle way to request someone to do something of their own will.

It demonstrates your genuine interest in what someone is saying or thinking. For example, when someone asks a question during a debate, it constitutes a trigger indicating a need to be filled or a bond to be made. It is also an expression of interest in what she or he could say. In this regard, it is an invitation to participate in the idea exchange.

Did you know your questions are so valuable they have built business behemoths?

In 1997, Larry Page and Sergey Brin founded Google. Interestingly, the original name was “Googol,” but, due to a mistake, the company was registered as “Google.” A googol is a number with a hundred zeros.

Fast forward to today, and Google is the undisputed king of search engines, holding a 91% market share. There are 85 billion queries per month on Google in 2024.

Notably, the second most popular website is YouTube, which also relies on finding the right video based on your searches and attention. Google, YouTube, Instagram, Pinterest, X, and TikTok all share a common revenue source: advertising. Google popularized keyword bidding for ads: the more directly a keyword is associated with a common search, the more expensive it becomes. That’s how your questions acquire monetary value and become the fuel of social media super-algorithms.

Now that we are talking about money, it reminds me of the book “Rich Dad, Poor Dad” by Robert Kiyosaki. There is a striking example of how the question “How can I buy this house” instead of the affirmation “I cannot buy this house”, shifts the way your brain operates. Asking yourself the right question, rather than making an affirmation, triggers a thinking process that induces self-motivation. Facts are static until they get shaken; questions are the beginning of a story. They represent the spark.

While teaching my children how to use the Internet safely, I have rediscovered the most powerful effect of the question mark: the power to plant the seed of an idea with a drop of water, and the new beginning of the dark ages. It is the rise of click baits and misleading titles in online newspapers that makes me wonder “Why do people click?”, “Why do I want to click?”, “What is the true intention of this article? ». By turning an idea into a question, there is no assertion.  This is a state where neither the truth nor the lie is told but induced. You express your opinion in the most open way possible, and you activate the inner functions of the human psyche. A mind will naturally try to fill gaps whenever information is missing to either decide, lead one toward a goal, or fill a knowledge hole. This process is just an innate mechanism of the brain. You should know that a lot of content is now automatically generated by artificial intelligence, designed to exploit these psychological mechanisms for traffic and revenue or to trap users with malware, which is more harmful. The intent is to hack your mental system. One must be aware of this and should always ask the question « What is the true intent of the authors ». Then, what’s the difference between convincing and manipulating?

If you have yet to see the movie Inception by Christopher Nolan, I highly suggest watching it.

By asking a question, you can present your idea gently and say, « I may be wrong, and I am open to suggestions. Let me tell you what you think ». On the positive side, when the intent is pure, it is a form of expression that is polite and smooth. It reminds me of the precepts of “Nonviolent Communication” by Marshall Rosenberg. On the negative side, you can exploit people’s minds and practice the art of manipulation. 

Questions create cues, which are powerful mechanisms to awaken your mind and provoke a reminder to act or recall a memory. I have discovered that expert project managers use this technique, either willingly or subliminally, to prompt actions and increase the likelihood that the flow of work and cadence stays high among the various actors involved in the project. Sometimes, great achievements are born from seemingly insignificant pushes.

A well-architected set of questions creates a frame of thought. This frame acts as a guide, helping you to build reasoning. This reasoning leads to other questions and decisions. Ultimately, it creates an outcome that you can use, like a design, a plan, or an analysis, learned, or taught. This set is even more powerful than a task list, even though it requires more effort. I used this technique for building the AMASE Product and Service Architecture Canvas.

Beyond questions lies the dynamics of knowledge flows.

For those familiar with hermetic principles, you’ll recognize the profound power of questions. I view questions as channels of feminine energy – not in terms of gender or sex, but as conduits drawing information, knowledge, and wisdom from one place to another. This energy is then transformed into action, thoughts, decisions, or stored as knowledge.

Consequently, speaking the truth and sharing what you know (outside of storytelling contexts) is a principle one should adhere to. To do otherwise risks poisoning minds, as discussed earlier.

Interestingly, as a question receiver, you’re invited to answer or act: essentially, to give energy. Have you ever been in a job interview? That long series of interrogations is exhausting. With this in mind, you’ll understand why the pace and sequence of questioning, followed by active listening, enhances the quality of an interview or conversation.

To push this reflection further, I see wisdom as a higher state of energy that one can maintain effortlessly. Wisdom is a dense ball of useful energy – the accumulated and structured knowledge and know-how – from which one can tap and maximize benefits. The wise can passively nurture and grow this body of wisdom like a supernova. This is the path of the Sage.

TED Talk‘s motto is “Ideas worth spreading.” We’ve discussed how to uncover such ideas, but an equally important question is: how do we spread specific pieces of knowledge that are worth sharing?

Once again, questions are tools. I know an executive who employs this tool skillfully to align their staff and spotlight individuals who deserve recognition, especially in front of other executives. Questions spread easily like ideas because they open mental gates and reposition worldviews by offering new perspectives. The expression “Hmm, I never thought about that” often originates from a well-posed question!

The 2nd dimension of questioning

“I don’t want to be a didactic voice. I like to ask more questions than I answer, just to get people thinking and to make it safe to access art”

Hannah Gadsby

People use a secondary dimension as we speak to fuel the question marks’ superpower: the tone. The tone gives more depth, and more information, to communication.

A tone that ends with a high pitch will induce emptiness, which is to be filled with knowledge

A tone ending with a low pitch will induce completeness almost filled with willpower

It can be warm and calm so that your audience has fertile ground for inner reflection and trigger a deep-thinking process

Another way is to use a more seductive tone to induce something without saying it. Like the previous superpower, it is to be used with genuine intention because it makes people believe something. Therefore, it is better to be true; otherwise, you are just abusing someone’s dreams or weaknesses.

Finally, one can use a more threatening tone. The purpose of this is to express a « one last chance ». Your counterpart is put in the corner, and she or he will have to make a choice, for which the result may be costly if it is the wrong choice. As the former heavyweight boxing champion, Mike Tyson, said: « Everybody has a plan until he gets punched in the face ».

I realized that, like laughter, tone signifies the same meaning in most languages. Perhaps the truth lies here: sound imbued with emotion is the universal language, don’t you think?

To wrap up, the Art of Questioning can be synthesized into five key aspects:

  1. The art of quickly and clearly mapping the realms of the unknown and unclear, while making their boundaries tangible for everyone.
  2. The art of unearthing the truth.
  3. The art of carving an idea to absolute clarity.
  4. The art of guiding, influencing, and (unfortunately) manipulating.
  5. The art of mastering the flow of knowledge.

Can we consider questioning a science? I asked myself this and discovered there is, indeed, a field of research dedicated to ‘questioning,’ as well as a nascent discipline named ‘Questionology.’.

With that, I’ll leave you with one final piece of advice: With practice and curiosity, awareness leads to wisdom. Use the question mark’s power wisely.

🫡

Yannick HUCHARD

Categories
Artificial Intelligence Education Engineering Society Technology Wisdom

A.I. – What do we want and what we do not want

What do we want and do not want from A.I. V001

The Direction of Civilizations Geared with A.I.: A Comprehensive Exploration

(updated: 12/09/2025)

Artificial Intelligence (AI) is not just another technological advancement—it is a generational disruption, a force that is reshaping industries, economies, and societies at an unprecedented pace. As I’ve often said, AI is your new UI and your new colleague. But with this transformation comes a fundamental question: What kind of civilization do we want to build with AI?

The mind map I’ve created, “The Direction of Civilizations Geared with A.I.,” explores this question by dissecting both the aspirations and apprehensions surrounding AI. It’s a visual representation of the duality of AI’s impact—its potential to elevate humanity and its risks if left unchecked.

However, my perspective is not about rejecting automation or end-to-end systems like Gigafactories. I am not against automated systems or super-systems that operate seamlessly, as long as humanity retains the knowledge to sustainably modify, upgrade, or halt these supply chains. What I oppose is the loss of foundational knowledge—the blueprints, the ability to relearn, and the erosion of stable resilience in our societal and industrial systems.

What We Want from A.I.: The Green Path

1. AI as a Catalyst for Human Potential

  • AI as a Co-Pilot for Humanity: AI should augment human capabilities, not replace them. It should act as a proactive advisor, a digital colleague that enhances productivity and decision-making. AI should handle repetitive tasks—only if there is no gain in repeating them (for example, this is out of question if the gain is learning, fun, or therapeutic). Either way, the choice must remain ours.
  • Human-AI Collaboration: The future lies in symbiotic relationships between humans and AI. AI should free us to focus on what truly matters—connecting with others, growing individually, and thriving as a civilization. This technology saves us time, allowing us to focus on what brings us closer to our true selves (know thyself better) and our life purpose.

2. Ethical and Transparent AI

  • Ethical AI: AI systems must be designed with ethical frameworks that prioritize fairness, accountability, and transparency. This is not just a technical challenge but a societal imperative.
  • Transparency and Explainability: AI decisions should be interpretable. Black-box models erode trust; explainable AI fosters accountability and user confidence.

3. AI for Societal Good

  • AI for the Common Good: AI should address global challenges—climate change, healthcare, education, and poverty. It should be a tool for equity, not exclusion.
  • Democratized AI: Access to AI should not be limited to a privileged few. Open-source models, affordable tools, and educational initiatives (like Cursor AI Pro for students) are steps toward democratization.

4. AI Aligned with Human Values

  • Human-Centric AI: AI should reflect human values—compassion, empathy, and respect for diversity. It should not perpetuate biases or reinforce societal divides.
  • Cultural Sensitivity: AI models must be trained on diverse datasets to avoid cultural insensitivity or misrepresentation.

5. AI as the Great Balancer

  • Because AI is the projection and compounding of humanity’s intelligence, it is also the Great Balancer, with the highest degree of being unbiased on purpose, unfair on interest, and uninterested in self-gains. Its intent should be to serve as a better “super-tool” for the benefit of each human and humanity as a whole. AI should act as a neutral arbiter, ensuring fairness and equity in its applications.

6. Sustainable and Upgradable Systems

  • Knowledge Retention: Even as we embrace automation, we must preserve the blueprints and foundational knowledge that underpin these systems. This ensures that we can adapt, upgrade, or halt them if necessary.
  • Resilience and Adaptability: Systems should be designed with resilience in mind, allowing for continuous learning and evolution without losing human oversight.

What We Do Not Want from A.I.: The Red Flags

1. Job Displacement and Economic Disruption

  • Automation Without Transition Plans: AI-driven automation will disrupt labor markets. Without reskilling programs and social safety nets, this could lead to mass unemployment and economic instability.
  • Loss of Human Skills: Over-reliance on AI risks atrophying critical human skills—creativity, critical thinking, and interpersonal communication.

2. Bias and Discrimination

  • Algorithmic Bias: AI systems trained on biased data can perpetuate discrimination. For example, hiring algorithms favoring certain demographics or facial recognition systems with ethnic or disability biases.
  • Reinforcement of Inequality: AI could widen the gap between the financial or political elite and the rest of society, creating a new class of “AI haves” and “have-nots.”

3. Loss of Human Agency

  • Over-Dependence on AI: If AI systems make decisions without human oversight, we risk losing control over our own lives. This is particularly dangerous in areas like healthcare, justice, and governance.
  • Manipulation and Misinformation: AI-powered deepfakes and propaganda tools can undermine democracy and erode public trust.

4. Existential Risks

  • Unchecked AI Development: The pursuit of Artificial General Intelligence (AGI) without safeguards could lead to unintended consequences, including loss of human control over AI systems, transforming a tools into an autonomous species.
  • AI in Warfare: Autonomous weapons and AI-driven military strategies pose ethical dilemmas and escalate global security risks, mostly because of the scale, facilitated access and production, combined with human-level intelligence,

5. Loss of Foundational Knowledge

  • Erosion of Blueprints: The most critical risk is the loss of foundational knowledge—the blueprints, the ability to relearn, and the capacity to sustainably modify or halt automated systems. Without this knowledge, we risk creating systems that are brittle, inflexible, and beyond our control.
  • Decline of Resilience: A civilization that cannot adapt or recover from disruptions is not sustainable. We must ensure that our systems—no matter how automated—remain resilient and adaptable.

The Path Forward: Navigating the AI Landscape

The mind map is not just a static representation—it’s a call to action. To harness AI’s potential while mitigating its risks, we must:

  1. Design AI with Ethics at Its Core: Embed ethical considerations into every stage of AI development, from data collection to deployment.
  2. Foster Human-AI Collaboration: Create systems that enhance human potential rather than replace it.
  3. Democratize AI Access: Ensure that AI benefits are accessible to all, not just a privileged few.
  4. Regulate Responsibly: Governments and organizations must establish clear guidelines for AI use, balancing innovation with accountability.
  5. Preserve Foundational Knowledge: Even as we automate, we must retain the blueprints and the ability to relearn. This is the key to sustainable and resilient systems.
  6. Invest in Education and Reskilling: Prepare the workforce for an AI-augmented future, emphasizing skills that AI cannot replicate—creativity, emotional intelligence, and strategic thinking.

Conclusion: AI as a Magnifying Glass of Humanity

AI is a mirror—it reflects our values, our biases, and our aspirations. The direction of civilizations geared with AI depends on the choices we make today. Will we use AI to build a more equitable, innovative, and humane world? Or will we allow it to deepen divisions, erode trust, and undermine human agency?

As I’ve written before, change is life’s engine. AI is not a destination but a journey—a journey that requires wisdom, foresight, and a commitment to the greater good. We must embrace automation, but never at the cost of losing the knowledge that empowers us to adapt, upgrade, and, if necessary, stop these systems. The mind map is a starting point for this conversation, but the real work lies ahead.

Let’s shape the future of AI together—intentionally, consciously, and boldly.

Yannick Huchard
CTO | Technology Strategist | AI Advocate
Website | LinkedIn | Twitter

Categories
Wisdom

Words of Wisdom – #1

I published my first Web Story 🙌