A shared picture before the next investment.
Leaders rate AI readiness twelve points higher than the operational layer. Activity isn't what's missing – a shared view of where you stand is.
What this means for leadershipSix validated dimensions, an evidence-based picture of your starting position. The finding that runs through the data: acceptance isn't what's missing – the ability to keep adapting data, processes, roles and governance is.


Four questions produce your personal Context Maturity score. You then receive a recommended Teklens experiment and the adjacent AI-readiness benchmark for your industry.
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Teklens will publish anonymised, aggregated patterns from these assessments, with sample sizes, segment limits and a clear separation from the joint AI Monitor research with ETH Zurich and HSG.
Continue to the industry benchmarks162 responses, six dimensions. Filter by industry, size, role or region – and see where the gaps open up. The full report follows in autumn 2026.
Acceptance is not the bottleneck: staff embrace AI – 4.0 of 5, just 6% push back. What is missing is the ability to adapt data, processes, roles and governance at the same pace. Six findings show where that gap opens up.
Adoption scores 66 of 100; the groundwork beneath it – clean data, integration, governance, the ability to adapt – sits at 50. People moved faster than their organisations could follow.
87% get AI tools from their employer – and 6 in 10 also use personal ones. That work runs with no security review and no audit trail.
The top of the house puts AI readiness at 54 of 100; the people doing the daily work put it at 42. Twelve points apart – there is no shared picture.
Strong on what stays put – people, culture, leadership (60 of 100). Weak on what keeps moving: adapting processes, working with partners, keeping up with regulation (44).
Backing for AI scores 3.6 of 5. Once it is about budget, people and a plan, it slips to 3.3 – encouragement is free.
When several people from one company answer, their scores land about 30 points apart. Colleagues a desk away rate the same organisation completely differently.
The same evidence, a different consequence depending on what you own.
Leaders rate AI readiness twelve points higher than the operational layer. Activity isn't what's missing – a shared view of where you stand is.
What this means for leadershipAdoption is ahead of the foundation. Data quality, integration and adaptable processes decide whether AI reaches production safely.
What this means for engineeringContext: the Monitor figures shown are international self-assessments. Regional segments indicate direction; they are not a representative DACH benchmark.
Basis: 162 valid responses (106 with demographic attribution), AI Monitor 2026 – published by Teklens, in collaboration with ETH Zurich and the University of St. Gallen. Values are self-assessments normalised to 0–100. Industry, size and role are grouped into readable clusters (weighted mean). Regional segments indicate direction; they are not a representative DACH benchmark.
Standardised self-assessments, triangulated across organisational levels (CxO/Board vs. VP). Scored per dimension and per company, plus a variance analysis that surfaces perception gaps.
For the DACH region there is an additional academic deep dive (HSG master’s thesis, 64 valid responses, mostly senior management). Its sharpest finding: openness to change is the highest-scoring of all 19 questions – "adapting structures and processes" the lowest. Exploratory, not a representative benchmark.
Published by Teklens, in collaboration with the research partners University of St. Gallen (HSG) and ETH Zurich.

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How the research becomes a decision: AI Leadership Lab