Talks & keynotes
For client events, leadership, internal gatherings and conferences. Clear, sharp, engaging and with concrete examples from practice.
I help companies, teams and leaders understand what generative AI really means. And how to use it today: practically, productively and responsibly. Clearly, concretely and with enough energy to turn skepticism into curiosity.
Generative AI isn't just another digital tool. It changes how we research, write, analyze, decide, communicate and build products.
Every organization is at a different point. Some, smaller and mid-sized companies in particular, want to get started pragmatically without getting lost in strategy papers. Others need a properly safeguarded path through governance, data protection and compliance. Both are right. What matters is that the next steps fit your own reality.
That's exactly where I come in: with clear talks, hands-on workshops and concrete formats for organizations that don't just want to watch AI, but use it meaningfully.
For client events, leadership, internal gatherings and conferences. Clear, sharp, engaging and with concrete examples from practice.
Hands-on formats for teams and departments. No dry theory, no sit-back-and-watch tool demo, just trying things out together, reflecting and applying it to your own day-to-day work.
For people without a programming background who have ideas, processes or problems that AI can suddenly turn into small tools, prototypes or automations.
For organizations that want to introduce generative AI in a structured way, identify use cases or build internal enablement formats, with realistic next steps.
The first phase of AI: we ask questions and get answers. The next phase: we set goals, and AI systems help us carry out more complex tasks step by step.
In my workshops I show what this way of working already looks like today: AI researches, structures, writes, analyzes, codes, checks and improves. Not perfectly. But good enough to reorganize work.
What changes when texts, analyses, presentations, research and concepts no longer start from scratch?
What do you need to understand to make good decisions about tools, processes, risks and skills?
Concrete application in marketing, HR, back office, communication, product development and internal organization.
Better results don't come from magic prompts, but from clear goals, context, iteration and review.
Hallucinations, data protection, confidentiality, the AI Act, quality assurance and when it's better not to use AI.
AI isn't only an efficiency topic. It changes work, education, the public sphere, media and power structures.
I don't explain 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: websites, apps, platforms, campaigns and custom solutions, for small companies as much as for large enterprises.
My role was often the interface between clients, departments and development. Understanding requirements, translating possibilities, clarifying expectations and turning ideas into workable digital products: that was always a central part of my work. I've often seen myself as a mediator, translator and connector.
For around ten years I've worked at Dolphin Technologies in product development and product management, mainly in the insurance sector. From that work and from projects with banks in recent years, I know organizations where innovation can't be thought of separately from data protection, governance, compliance and existing processes.
Today I use generative AI every day: for research, writing, analysis, product ideas, prototypes, automation and new ways of working. What interests me isn't the short-term effect, but how technological possibilities turn into genuinely useful tools and better processes that pay off in everyday work.
My strength lies in making complex technological developments understandable, sparking enthusiasm and staying realistic at the same time. I speak the language of departments, management and development, and connect these perspectives where AI is meant to make a concrete difference.
Good AI formats need more than tool demos. They need relevant tasks, typical documents, concrete questions and tangible results.
That's why I work where AI should actually make a difference day to day: on research, writing, data, decisions, prototypes and processes.
Also for people without a technical background.
With exercises, demos and concrete application.
Mindful of limits, risks and error tolerance.
Aligned with the audience's actual work.
No long lead time, no off-the-shelf standard presentation. Three steps are enough to develop a format that fits your audience and your occasion.
A short conversation about goal, audience, occasion, desired format and scope. From that emerges what makes sense and what doesn't.
Content, examples and exercises are tailored to your real work. Relevance beats completeness.
The talk or workshop is delivered, with the aim that something remains afterward: understanding, methods and concrete next steps.
I've designed and delivered AI talks and workshops for a range of audiences: from beginners through departments to leaders and company events.
Gerald conveys generative AI thoroughly and positively, sparking amazement with his examples. His enthusiasm for the subject keeps him constantly up to date, with a seemingly endless wealth of experience. He relates today's possibilities to data protection and internal governance.
The webinar showed our e-commerce businesses in very concrete terms how they can use AI in everyday work. Gerald conveys the topic in a practical, clear way and without technical hurdles.
In the KI-Stammtisch, Gerald Aichholzer skillfully combines current developments with hands-on exercises and creates an immediate connection to everyday work. From the works council's perspective, that is especially valuable because employees can make sense of AI early on and recognize new opportunities.
Notes, observations and essays on generative AI, agentic working, productivity, organizations and the things we still talk about too little as a society.
AI has doubled my productivity. And that raises questions almost no one is discussing: what does it mean for the world of work?
22 Mar 2026
A hands-on test shows: RAG isn't AI with a company memory, it's a search engine with an AI surface. Why “partial retrieval” is the more honest name.
18 Jun 2025
A grotesque biology homework task as a symptom: why bans and absurd assignments aren’t an answer to AI in school. Media literacy is.
22 Mar 2025Tell me briefly what it's about: audience, occasion, desired format and rough timeframe. I'll get back to you with a quick assessment of what would fit.