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3,1 Double-Loop-Learning 3,2 Double Experience 3,3 AI and Key Roles
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Lesson 3,3 · Communication · Focus — AI and Key Roles

AI — and key roles

I think AI will free up enormous amounts of time and resources. We are rapidly approaching a “one-third society”, where a small elite holds power, while the rest either grow up or approach the end of their lives.

Input, not output
You control the input, but not the output.

A person wearing clear data glasses in a dark room, a grid of glowing figures and readouts reflected across the lenses and their face
Let us speak of humanity, kindness, families, and safety in a changing world.

We are facing a paradigm shift. Nothing will ever be the same again. Artificial Intelligence — AI — is here to stay. As leaders, our responsibility is clear: we must guide this development in service of what is human, not what is superhuman.

In the year of our Lord, 2025 — the year Pope Leo XIV was elected, Donald Trump led the U.S. under a new MAGA term, and Putin still dreamt of a full-scale occupation of Ukraine — things were already happening behind the scenes. Things that would change everything. Forever.

The key concepts to understand are: machine learning, artificial intelligence, superintelligence. The input is still chosen by whoever is wearing it.

You control the input, but not the output

What started out innocently — with translation tools and language apps — gained speed with ChatGPT, and evolved rapidly among the most resourceful players into machines and programs that learn from their own learning. So quickly, in fact, that few can keep up, let alone control what is unfolding. Yes, it sounds frightening. But it can also be deeply tempting: to shape the new world order, rather than become slaves to it.

Input, output diagram — a monitor icon labelled input feeding into a microchip labelled AI, which produces a speech bubble labelled output

I choose the latter. That means becoming conscious of our roots as human beings — our needs, our inner resources, and our values. What serves creation and ecological balance will serve humanity. What destroys that balance, or undermines our fragile human essence, must be resisted, in partnership with the best that new intelligence can offer. Because we would make mistakes: machines will not be neutral. Just like in the human mind, good and evil will battle for control inside the programs that shape the future.

How an organisation can be structured around AI

An organisation utilising AI can be structured in different ways. The most common models include:

Decentralised AI usage

AI is applied across various departments, but there is no central unit managing the overall AI strategy.

Centralised AI team

A dedicated AI unit develops models and solutions for the entire organisation.

Hybrid model

AI expertise is concentrated in a central unit, while solutions are implemented directly within different business areas.

We cannot blindly trust ChatGPT

“Or any other system. We must choose — or create — our own intelligence bubbles, aligned with the values and visions we hold for a good life. In the coming years, competing knowledge universes will vie for global and even interplanetary influence. A digital elite will maintain the systems. Wars will no longer be fought on battlefields, but by machines — robots guided by algorithms that choose and act according to their own logic, values, and ambitions.”

“It may, paradoxically, free up vast amounts of time and resources. We are hurtling toward a ‘One-Third Society’ — where one-third governs and controls, one-third is either growing up or nearing the end of life, and the rest of us, those in the middle, may suddenly find ourselves gifted with time.”

“Time to think. Time to create. Time to write, play, imagine. Time to rediscover our artistic and emotional humanity, in contrast to cold technology and superintelligent forces.”

In the meantime, we must lead this transition. With thoughtful strategies — like the SGL model, perhaps — we must rethink how we organise our systems, our communities, and our leadership. Time to think, and somewhere to do it. This is the half no system can take over.

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Key roles

SGL: key roles in an AI-driven organisation

Strategic leadership

Chief AI Officer (CAIO)

Leads the organisation’s AI strategy, ensuring alignment with overall business objectives.

Chief Data Officer (CDO)

Responsible for data governance, data quality, and the organisation’s data infrastructure.

AI Ethics & Compliance Officer

Ensures that the use of AI aligns with the company’s core values, legal requirements, ethical guidelines, and regulatory standards.

Executive Coach Officer (ECO)

Leads an HR unit dedicated to group coaching and mentoring, grounded in compassion and human-centred development.

Are you able to decide: the right person for the right task? The question above is decided in rooms like this one, long before the roles are filled.

Technology & development

AI/ML engineers

Design, develop, and implement machine learning models and AI systems.

Data scientists

Analyse data, build predictive models, and refine algorithms to support decision-making and innovation.

Data engineers

Manage data architecture, data pipelines, and ensure integration between data systems and AI applications.

MLOps engineers

Automate, scale, and monitor machine learning models in production environments, ensuring reliability and performance.

Your turn

Home Lesson 3,3

  • Think: AI is my partner, not my helper.
  • Think: why is this an important distinction?
  • Think: what is the worst case that can happen when I use AI in my studies or work?
  • Think: how will I view AI from now on?
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