MarTech 2026: Where Autonomous Agents Are Making an Impact—and Where Humans Seem Irreplaceable
Autonomous AI agents, radical efficiency gains, and new operating models: The MarTech Apéro on Bleicherweg in Zurich demonstrated just how rapidly marketing and sales are changing. But amid the frenzy of algorithmic precision, one question arises: Where has the genuine, shared experience gone—and how much of a human touch can this transformation accommodate?
The view from the 12th floor on Bleicherweg over Lake Zurich provided the perfect backdrop that evening: Where the gaze usually sweeps far across the water, the discussion also centered on foresight and strategic direction. Experts, executives, and industry leaders gathered at the Swiss Life Asset Managers offices to explore the current state and future prospects of digital value creation—an inspiring setting that also served as the backdrop for brief video interviews during the reception that followed.
Dr. Ralf Strauß provided a well-founded, if sobering, introduction with the results of the Marketing Tech Monitor 2026: Between 70 and 80 percent of tech and CRM projects fail or fall short of their goals—resulting in an annual economic loss of approximately 20 to 21 billion euros in «sunk costs» in the DACH region alone. The root cause rarely lies in software quality, but rather in internal shortcomings: Only 6 percent of companies in the DACH region have mastered their data, and hardly anyone understands their customer journey based on genuine, data-driven outside-in insights.
«For the past ten years, you've been talking about tools. For the past three years, you've been talking about AI applications. Over the next five years, we'll be talking about this: What, exactly, does the organization look like in this context?»
- Dr. Ralf Strauß, Managing Partner, Marketing Tech Lab
The Agent Workforce: Autonomous Swarms Instead of Isolated Prompts
Dr. Sebastian Denef (CEO of Agents Inc HQ) demonstrated that artificial intelligence has long since moved beyond the stage of isolated text prompts. The real technological leap is being driven by so-called workforce agents: networked systems consisting of thousands of specialized micro-agents that map real-world business processes autonomously, error-free, and without hallucinations.
Denef illustrated the potential using concrete, real-world examples:
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Predictive Market Intelligence: Swarms of agents monitor global platforms and social media channels such as TikTok and Instagram around the clock to reliably predict trends, customer sentiment, and even strikes days in advance.
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Fully Automated Trade Promotion Management: Instead of spending days on manual preparation, agents can handle the entire process of creating print-ready InDesign marketing materials—including image placement, ERP price integration, seal verification, and layout costing—in just 20 minutes and with four clicks.
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Autonomous B2B Nurturing: After events, agents independently conduct technical discussions via WhatsApp, send presentations, schedule calendar appointments, and seamlessly enter data into CRMs such as Salesforce.
„Never trust the demo. It’s never been easier to build a cool demo with AI. But the last mile is the hardest. AI agents are only 10 percent AI—90 percent is processes, data hygiene, and clean workflows.“
- Dr. Sebastian Denef, CEO of Agents Inc. HQ

Heiko Schäfer, CEO of the Mammut Sports Group, confirmed this focus on efficiency from the company’s perspective. With about 500 active AI users in-house every day, the outdoor equipment manufacturer is pursuing a clear strategy: no expansion of positions in central administrative functions, but rather maximizing the leverage of the existing workforce.

„We’re growing, but we’re not hiring anyone new for our central functions. That’s a very clear message: Step up your game. AI won’t replace people, but people who master AI will replace those who don’t.“
- Heiko Schäfer, CEO of Mammut Sports Group
Retail & Campaigns: A Shift Is Coming for Agencies
Thomas Schwetje (Member of the Executive Board / Head of Digital & Customer) explained in an interview how the Swiss retail giant Coop is tackling this issue. Like the industry as a whole, Coop is still at the beginning of a long development journey, but it is already making targeted use of the technology—especially on the production side of campaigns to increase output and efficiency, while the core creative process remains heavily human-driven.
A prerequisite for this, even in large companies, is clear process mapping: AI can only be effectively integrated once workflows are clearly mapped onto a technology roadmap. Schwetje sees external partners facing immense pressure to take action:
„On the one hand, the biggest challenge is getting our own employees on board. On the other hand, we need to get the agencies to work sufficiently with AI—because if they don’t, we’ll do it ourselves or with partners who consistently think “AI-first.’ A massive change is coming for the agencies, and many aren’t ready for it yet.”
- Thomas Schwetje, Head of the Digital & Customer Division, Coop
When it comes to new buzzwords—such as ad formats integrated directly into LLMs (like ChatGPT)—Schwetje, however, urges caution: In such cases, he says, it’s important to first wait and see how users actually respond and how the technology is adopted in the market, rather than blindly rushing to follow every trend.
Human First: Transformation Starts in the Mind
Host Tim Alexander, CMO of Swiss Life Asset Managers, demonstrated how a holistic realignment can be achieved. With an interdisciplinary team of 44 employees, the company is fundamentally restructuring its marketing and communications stack—focused on five target groups and a consistent integration of internal and external perspectives.

„We’re not talking about just throwing a few tools together here and there. We need to completely rethink our tech stack. Technology is the enabler, but ultimately, people are at the center—both our employees and our relationships with our customers.“
- Tim Alexander, CMO of Swiss Life Asset Managers
Elke Guhl also emphasized the indispensable role of human leadership and warned against the trap of focusing solely on speed: Algorithms do not improve a poor process; they merely make it go bad faster. True differentiation does not arise at the data level, but rather where human judgment and creative courage guide technology.
The Potential of Personalization and the Power of Community
Despite all the justified fascination with autonomous workflows, scalable agents, and efficiency gains, the evening also brought to light a key question for the future of brand management and consumer psychology:
How do we balance individual precision with a collective sense of togetherness?
If, in the future, algorithms tailor every message with surgical precision to an individual’s profile, this will open up unimagined potential for relevance in one-on-one dialogue. At the same time, marketing must not lose sight of a key driving force: the herd instinct. Consumption is and remains, to a large extent, a social phenomenon—shaped by collective enthusiasm, shared rituals, status symbols, and the need to be part of a community. A mountain hike in Mammut gear, the weekly grocery shopping for a family celebration, or an investment in values that span generations are rarely decisions based purely on data; they are rooted in a sense of belonging, identification, and shared emotion.

In the future, when autonomous shopping agents screen platforms and make preliminary decisions, the operational interface will indeed shift to the digital realm. Yet trust, brand enthusiasm, and cultural relevance arise where people experience brand worlds together and connect with one another through genuine dialogue.
The winners of this transformation will therefore not be those who completely dehumanize every touchpoint. They will be the brands that use AI as an invisible, high-performance backbone to create space for what truly matters: genuine human connection, personal relationships, and brand experiences that bring people together.



