Speaking

Speaking

Sven Spöde helps marketing and communication teams make sense of AI pressure and turn it into better decisions, better systems, and better work.

The best rooms are the ones that want practical clarity: where GenAI helps, where judgment still matters, and how teams can build ways of working that do not collapse under tool pressure.

Selected contexts

Selected contexts

  1. 2026 Upcoming HNU Connect From AI experiments to sustainable communication practice

    AI in communications is no longer a side topic, but a capability question that cuts across tools, workflows, governance, and team design. HNU Connect is interesting because the format does not treat AI as a standalone demo topic: across recent editions it has linked marketing automation, regulatory orientation such as the EU AI Act, everyday AI tools for communication work, and broader questions about how digital communication changes professional practice.

    This session takes the next step and asks what has to change once organizations move beyond pilots. Instead of staying with prompts and isolated use cases, it looks at roles, decision paths, governance, and structured knowledge. Once generative AI becomes part of communication work, the challenge is no longer experimentation itself, but building workflows that remain usable, brand-safe, and durable under real operating conditions.

  2. 2026 Upcoming CommTech Academy CommTech Academy Summer School 2026

    AI in communications is no longer a side topic for communication teams, but a capability question. The AG CommTech Summer School brings together the disciplines that usually remain fragmented—automation, analytics, workflows, knowledge, and team design.

    The session pushes the conversation beyond prompts toward memory and operating structure. Once AI becomes part of communication work, knowledge management stops being an archive problem and becomes a performance problem.

  3. 2026 AG CommTech Less documents, more knowledge objects – How ZEISS builds AI assistants systematically

    AI assistants in communications do not fail first on prompting, but on the structure of the knowledge beneath them. This AG CommTech interview describes a shift from document logic to context logic: use cases, training, and governance are built in parallel, and communication knowledge is extracted from portals, campaign material, reporting, and best practices instead of being left inside files and slides.

    The decisive move is to treat brand rules, personas, messaging, channel requirements, and regulatory constraints as explicit, versioned knowledge objects. Once knowledge becomes modular, machine-readable, and governable, AI stops being a loose layer on top of content production and becomes part of the operating model.

  4. 2026 China Netzwerk Baden-Württemberg New co-spokesperson of the CNBW AI Working Group

    This CNBW announcement records Sven Spoede’s appointment as co-spokesperson of the CNBW AI Working Group. It describes his background through the CNBW podcast “China Ticker”, GenAI work for marketing and communications at ZEISS, AI-native communication approaches, and experience in digital marketing in China.

    The proof here is intentionally narrow and public: an appointment note that places this work inside the CNBW AI working-group context.

  5. 2025 China Ticker China Ticker #54: KI-Allianz Baden-Württemberg and practical AI adoption

    This episode places AI in the context of regional innovation policy and applied adoption. Within a broader China Ticker format, the segment on the KI-Allianz Baden-Württemberg looks at how ecosystems, institutions, and local cooperation shape capability beyond headline-level announcements.

    The focus therefore shifts away from abstract AI futures toward the conditions under which implementation becomes possible: coordination, enablement, shared learning, and regional networks.

Talk angles

Talk angles

01 How to use GenAI in marketing and communication work Keynote / Workshop

Most teams do not need another prompt demo. They need a grounded way to decide where GenAI actually helps in content, research, planning, workflow design, and routine execution.

This talk starts from the practical questions I keep hearing in public seminars, conference stages, and industry panels: what GenAI is good for, where it creates risk or rework, and how teams can use it without losing trust, judgment, or operational clarity.

Good starter session for teams moving from curiosity and pilots into deliberate daily use.

02 Most AI failure is context failure Keynote / Executive workshop

Most AI projects do not break because the model is weak. They break because the team never agreed on the brief, the source material, the guardrails, or who gets to decide.

This talk looks at where that shows up in marketing and communication work, and what changes once context stops being an afterthought and becomes part of the operating model.

Useful for teams drowning in prompt activity but starving for shared context.

03 Brand as coordination technology Keynote / Panel

As soon as people and AI both produce language, brand stops being decoration. It becomes the thing that keeps tone, judgment, boundaries, and review logic from drifting apart.

This talk looks at brand as working infrastructure: how it can give teams and machines a shared frame without turning everything into bureaucracy.

Best for organizations where brand, governance, and AI execution have drifted apart.

04 Disciplined attention in the age of generated noise Fireside chat / Keynote

AI can generate more options than any team can use. That does not remove the need for attention; it raises it.

This talk is about how teams protect signal, keep judgment intact, and stop confusing more output with more progress.

Fits leadership rooms dealing with overload, acceleration, and weak signal selection.

05 From tool hype to context-literate operating models Executive workshop / Keynote

Most organizations do not need another AI pilot. They need an operating model that still works once the first wave of enthusiasm is over.

This talk looks at how tools, roles, memory, approvals, and context have to fit together so teams can move faster without getting messier.

Useful when tooling already exists, but execution still feels brittle or person-dependent.