Research
AI Monitor

AI Monitor. Where companies really stand on AI.

The AI Monitor is a joint research project by Teklens (publisher), ETH Zurich and the University of St.Gallen. We measure AI readiness along six validated dimensions and give companies an evidence-based view of where they stand.

Publisher
Teklens
Academic partners
ETH Zürich
University of St.Gallen
Live data

Where companies stand today

Six dimensions, 184 valid responses (100 with demographic breakdowns). Filter by industry, size, role or region – the clusters are cut so the biggest differences show up immediately.

Headline findings

What the data says

Six findings that hold for the whole sample – they don't change with the filter.

4.0 vs 2.6
Will beats structure

AI acceptance sits at 4.0 of 5; only 5% are resistant. But reconfiguring is at 2.6 – 61% can't adapt processes after rollout. The workforce is ready. The organisation can't keep up.

3.6 → 3.3
Commitment without budget

Management support reaches 3.6 of 5. The moment it's about resources and vision, the score drops to 3.3 and 30% land in the bottom third. Leadership commits verbally, not financially.

60 vs 44
The adaptive gap

Internal Assets leads at 60, External Alignment trails at 44 – a 16-point gap. Static maturity (people, leadership, tech) was built faster than the ability to adapt and align externally.

62 vs 15
Industry matters more than size

Tech Foundation ranges from 62 (Technology & Software) to 15 (Healthcare & Life Sciences) – 47 points. No other dimension spreads this wide. Where AI meets legacy systems, the technical base collapses.

1001–5000 leads
Scale isn't maturity

The 1001–5000 cluster leads on nearly every dimension. The very largest (5001–10000) drop off, sometimes below mid-market. More employees doesn't mean more AI maturity – often the opposite.

40% compliant, 41% without substance
Compliance is declared, not embedded

40% rate themselves as largely compliant with the EU AI Act. Of those, 41% have weak operational governance (≤3 of 5). Self-assessment runs ahead of practice.

Industry
Size
Role
Region
20406080100LeadershipInternalAssetsTechFoundationDataEngineExternalAlignmentDynamicCapabilities
Average (benchmark)n=184

Basis: 184 valid responses (100 with industry/size attribution), AI Monitor 2026 – ETH Zurich / University of St.Gallen. Values are self-assessments normalised to 0–100. Industry, size and role are grouped into readable clusters (weighted mean).

Methodology

Quantitatively measured. Differentiated by organisational level.

The study combines standardised self-assessments with organisational triangulation (CxO/Board/Owner vs. VP). From the responses we derive scores per dimension, an overall company score and a variance analysis that surfaces perception gaps.

0
Dimensions
0
Questions
0
Org levels (CxO vs. VP)
Inside the report

What you receive

Take part in the AI Monitor

The study is open to companies of every size. You receive your results as a personalised report.