Leaders & executive management
For decision-makers who want to place generative AI strategically and make better decisions about tools, skills, governance and next steps.
01Talks & Keynotes
← Back to the offeringMaking AI understandable. Without hype. With an eye on real work.
Generative AI changes not just tools, but ways of working, expectations and decisions. In my talks and keynotes I make sense of what is already relevant today, what's underrated, what's overrated and what actually matters for organizations. Clearly, sharply and with examples that make you realize: this isn't science fiction, it's next week.
Why this topic matters now
Between fascination, uncertainty and pressure to change, what's needed is a clear sense of orientation.
Many organizations have now tried generative AI. At the same time it often stays unclear what really follows for their own work: Which tasks change, which tools make sense? Where do productivity gains arise, where are the risks? And how do you talk about AI without falling into euphoria or rejection?
That's exactly where my talks come in: they create a shared understanding, connect technological development with the concrete reality of work, and help teams, leaders or clients discuss the next steps on a sounder basis.
Who it's for
For events where AI shouldn't stay abstract.
Internal company events
For townhalls, employee events, learning days or internal sessions where a shared understanding of AI can take hold.
Client events & business breakfasts
For formats in which clients or partners should get an understandable, current and practical view of AI.
Departments & knowledge work
For teams in marketing, HR, communication, product development, back office or operations who want to understand how their daily work is changing.
The benefit
After the talk, it's clearer where AI can really be put to work.
Not every question is answered. But the right questions are on the table: What is useful short term? What is structurally significant? Which developments should you watch? And where should an organization build practical experience sooner rather than later?
Good AI talks don't deliver ready-made silver bullets. They help you recognize patterns, and ideally change how people talk about AI.
Possible topics
Content is tailored to the occasion, audience and sector.
AI in knowledge work
What changes when research, writing, analysis, presentations and concepts no longer start from scratch? And what does that mean for roles, quality and collaboration?
From tool to way of working
Generative AI is more than a new input field. What's decisive is how people formulate goals, give context, review results and integrate AI into existing workflows.
Agentic working
The next phase isn't only about better answers, but about systems that support chains of tasks: researching, structuring, drafting, checking, improving and executing.
Opportunities, limits and risks
Hallucinations, data protection, confidentiality, copyright, the AI Act, quality assurance and the question of when it's better not to use AI.
AI for leaders
What leaders need to understand in order to talk not just about tools, but about skills, processes, responsibilities and realistic productivity gains.
Societal impact
AI doesn't only change companies. It touches education, the public sphere, media, trust, power structures and the question of which skills become more important.
Example talk titles
One topic, several possible angles.
AI doesn't just change tools. AI changes work.
An understandable overview of generative AI, concrete applications and the consequences for knowledge work.
From prompting to agentic working
Why the next AI phase isn't about better prompts, but about a new way of leading tasks.
What leaders should know about generative AI
Orientation for decisions around tools, governance, skills and realistic implementation.
AI in the enterprise: between hype, risk and productivity
A sober assessment of what works today, what's overrated and where to begin.
Formats
From a short opener to an in-depth keynote.
Short talk
A compact entry point for internal events, leadership circles or client events. Ideal when a topic should be opened up and clearly framed.
Keynote
The right setting for larger events. Clear, sharp, with examples from practice and a clear view of the developments ahead.
Talk with discussion
For groups that want to dig into specific questions after the talk: impact on their own organization, sensible next steps, risks and concrete areas of application.
How it works
No off-the-shelf standard talk.
Briefly clarify what it's about
Occasion, audience, sector, prior knowledge, desired depth and conditions are clarified together.
Prepare it precisely
Content is selected to fit the audience: more strategy, more practice, more risks, more future outlook, depending on what's needed.
Deliver the talk
On site or online. Understandable, structured and with concrete examples that also reach people without a technical background and give them the language to talk about it afterward.
Why with me
I don't talk about AI from a distance. I work with it.
For more than 25 years I've worked where technology, digital products and the reality of work meet. For 15 of those years I ran an online marketing agency and, together with my team, delivered hundreds of digital projects: from websites, apps and platforms to campaigns and custom solutions.
In doing so I was almost always at the interface between clients, departments and development. I know the language of technology, but also the questions, expectations and uncertainties on the business side. This translation work is exactly what's decisive for AI talks: making complex developments understandable without oversimplifying them into something false.
Today I work in product development and product management at Dolphin Technologies, mainly in the insurance sector. From that work and from projects with banks, I know the demands of regulated industries: data protection, governance, compliance and existing processes play a central role there.
I use generative AI every day for research, writing, analysis, prototypes, automation and agentic working. So I'm not talking about an abstract future topic, but about a way of working that I use myself and bring to talks so that even a mixed audience can follow and comes away wanting to try it out themselves.
Gerald Aichholzer
Advisor, trainer & speaker on generative AI
What remains
A good talk creates orientation and the shared language to keep the conversation going.
Shared understanding
Participants gain a shared language for generative AI, beyond buzzwords.
Realistic picture
Opportunities become visible without ignoring limits, risks and organizational questions.
Concrete follow-up questions
After the talk it's clearer where it's worth experimenting, which questions need to be settled internally and which next steps make sense.
Frequent questions
What often gets clarified beforehand.
Is the talk also suitable for people with no prior AI knowledge?
Yes. The content is explained so that people without a technical background can follow well. At the same time, the talk stays relevant for people who already work with AI.
Can the talk be adapted to our sector or audience?
Yes. Examples, focus and depth are agreed beforehand. A leadership format needs a different angle than a client event or an internal learning day.
Is it only about ChatGPT?
No. ChatGPT may appear as an example, but the talk treats generative AI as a broader development: new ways of working, new tools, new roles and new demands on organizations.
Can the talk also lead to a workshop?
Yes. A talk often works well as an entry point. If you want to work more concretely afterward, a workshop, training or sparring format can build on it.
Does the talk have to be very technical?
No. The talk can be kept deliberately non-technical. It's not about explaining models in detail, but about what generative AI means for work, decisions, organizations and concrete next steps. The technical depth can be adjusted if needed.
When it should get more practical
Talks create orientation. Workshops bring AI into the work.
02
Workshops & training
For teams that don't just want to understand generative AI, but apply it practically to their own tasks.
03Coding for Non-Coders
For people without a programming background who want to build small tools, prototypes and automations with AI.
04AI transformation & sparring
For organizations that want to introduce AI more systematically, prioritize use cases or build internal enablement formats.
Inquiry
Planning a talk or a keynote on generative AI?
Tell me briefly what it's about: occasion, audience, desired format, location and rough timeframe. I'll get back to you with an assessment of which angle would make sense.