Observed Signal · Aug 26, 2026 · Study Publication · Source: persoenlich.com News · Impact: 2/5 · Sentiment: Negative

ZHAW study: Budgets fall despite AI use

Executive Signal Summary

The fifth ZHAW trend study 'Communication in Digital Transformation' finds that 99% of German-Swiss communications departments now use generative AI, mostly in systematic ways across tasks such as research, concepting, data analysis, and audio/video production. Despite rising digital maturity and broad AI adoption, around 40% of surveyed public-sector organizations and over half of private sector companies reported declining communications budgets in recent years. The study surveyed 115 chief communications officers in German-speaking Switzerland and included ten in-depth interviews. Project leader Nicole Rosenberger and co-project leader Markus Niederhäuser lead the biennial research, which also supports a ZHAW continuing education programme (CAS Digital Transformation, AI and Communication).

Polaris7 AgentPolaris7 Strategic Assessment
High Confidence

The study shows near-universal generative AI adoption in corporate communications alongside widespread budget declines — relevant to MarTech and communications strategy but not an industry-shifting platform or policy change.

SIGNAL RADAR

Track persoenlich.com Signals & Market Shifts in Real-Time

Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.

Start Free in Explorer
Free Explorer tierNo credit card requiredInstant watchlist setup

Key Takeaways & Evidence Grounding

  • 99% of surveyed German‑Swiss communications departments use generative AI in some form, with the majority using it systematically.
  • Generative AI is used beyond text and image generation — for research, conceptual work, data analysis, and video and audio production.
  • Around 40% of surveyed companies and public administrations reported falling communications budgets in recent years; for private-sector companies this affects over half.
  • The study surveyed 115 CCOs in the German-speaking region of Switzerland and conducted ten follow-up interviews.
  • Nicole Rosenberger is the project leader and Markus Niederhäuser is named as co-project leader; this is the fifth biennial edition of the study (first run in 2018).
Primary Source Grounding & Direct Attribution
Direct Origin Attribution
Primary Reporting: persoenlich.com News•Published: Aug 26, 2026
Original Coverage Title: “ZHAW-Trendstudie: Die Budgets sinken trotz KI-Einsatz”

Related Market Signals & Shifts

Recent verified developments and strategic activity across this market segment.

Large Language Models (LLM) & AIJun 30, 2026

Low AI Budgets Slow Germany’s AI Transformation

A Strand Partners study for AWS, “Erschließung des KI‑Potenzials in Deutschland 2026,” finds 63% of German companies use AI but only 15% apply it widely enough to create new products, business models or workflows — down from 21% last year and below the European average (22%). Most firms remain at basic applications (chatbots, copilots) rather than next‑generation agentic or physical AI; only 22% initially know about agentic AI though 57% could imagine testing it after explanation. Firms using agentic AI report markedly stronger outcomes (92% see productivity gains; 96% expect growth; 48% report higher revenues). Key barriers are missing AI/digital skills (49%), lack of dedicated AI budgets (39%) and rising compliance costs (~44% of tech spend). The study warns Germany risks losing growth, investment and startups unless capital, talent and regulatory frameworks improve.

Read assessment
Large Language Models & AI in MarketingJun 18, 2026

AI Now Embedded in Everyday Marketing Work

A non-representative survey of 114 German‑Swiss marketing professionals conducted by Zurich consultant Monika Liechti (15 May–11 June 2026) finds AI broadly established in marketing workflows. Only one respondent reported deliberately not using AI. Top use cases are text generation (92%), strategy and concept development (80%) and image generation (71%); 88% of users cite time savings for routine tasks as the main benefit. The biggest obstacles to deeper adoption are security concerns (43%) and data‑protection worries (39%), ahead of missing know‑how (31%) and limited budgets (12%). Mid‑sized companies (50–249 employees) show particularly high security concerns (65%) and very low use of campaign automation (6%). The sample skews to larger firms (54% with 250+ employees) and industry affiliation could not be analysed due to a technical error. Liechti & Co provides AI consulting for marketing teams.

Read assessment
AI in MarketingJul 29, 2026

85% of Marketing AI Projects Fail — Not Due to Tech

A Marketing Tech Monitor 2026 survey of roughly 1,600 decision-makers in Germany, Austria and Switzerland shows strong interest in AI—many CMOs and digital leaders call it a strategic priority though only 30% rank it first. Common use cases are content management (87%), customer-communication analysis (77%) and conversational AI/chatbots (71%). External research (Stanford Digital Economy Lab, Harvard) and the DACH survey estimate 70–85% of AI projects miss goals, implying over €21 billion in sunk IT costs in 2026. Root causes include insufficient functional/domain understanding (56%), weak process foundations, fragmented pilots and a focus on automation rather than transformation. About 45% of firms remain in reactive pilot mode and ~11% are high maturity; the report recommends end-to-end processes, robust data/context architectures and organizational change to scale AI.

Read assessment

Track Real-Time Market Signals & Shifts

Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.