After networking at the table fair, the event continued in the lecture hall with a topic that currently leaves hardly any marketing and sales departments untouched: the influence of AI on sales and marketing – today and in the coming years.
Stephan Sigrist opened with four guiding questions that framed the afternoon:
- What effect does AI have on us as humans and our culture?
- With what effect does it already generate world-class output today?
- How can this effect be understood – and how do we best use it in sales & marketing?
A strategic framework made it clear: It's no longer just about individual tools but about business models, positioning, and the culture of value creation as a whole.
Rados Djokic demonstrated using HP's own «AI for Workforce» approach how concrete this already looks today: on-device agentic AI combined with cloud AI frontier models – secure, responsive, and cost-efficient. Using the example of an account plan, it became apparent how many work steps – from market research to CRM maintenance – are already taken over by AI, while the human-only reviews and approves: four hours of manual work per customer thus become a short review step, a tangible example of how generative AI moves from hype to measurable benefit.
Pascal Blank showed in the deep dive how data, segmentation, and AI make sales and marketing measurably more efficient. Using the principle «One Signal. Three Contexts.» He explained how the same customer signal – such as a repeatedly viewed product – must lead to different reactions depending on the context: orientation for new customers, a suitable offer for existing customers, or help with an open service case. At the execution level, he pinpointed the division of roles: the system calculates, the AI interprets, and the human implements – only in interplay does the «growth engine» emerge.
Sophie Hundertmark dedicated herself to AI visibility. Her central thesis: AI affects the entire customer journey, not just the beginning – the effect is most expensive in the consideration phase, where the shortlist is created. At the same time, she pointed out a paradox: declining click numbers do not automatically mean less success, because those who come via an AI chat are often already pre-decided and convert better. Therefore, the relevant metric is not the traffic but the question of whether and how a company is mentioned by the AI at all – a simple self-test allowed this to be tried out directly on site.
Four different perspectives, a common denominator: AI is not only changing how marketing and sales work but increasingly also where and through what companies are still visible at all.