AI Monitor 2026 · Published by Teklens
How ready are organisations for AI?
Openness is there. The ability to change the way work gets done is missing. The AI Monitor 2026 measures six dimensions of AI readiness and shows where organisations stand and what sets them apart.
- 6
- dimensions
- 19
- items
- 64
- organisations, DACH analysis
- 165
- responses, Europe
Self-assessments collected March to May 2026. Exploratory, not a representative benchmark.
Key findings
Three findings that set the tone
The DACH analysis draws on 64 cleaned self-assessments, mostly from senior decision-makers. The European survey shows the same pattern across 165 responses.
Six dimensions, three readiness profiles
Pick a readiness profile and compare it with the overall mean. The full explorer also compares hierarchical levels and all 19 items.
- LeadershipLeadership4.583.512.35
- People & capabilitiesInternal Assets4.533.472.73
- Technology foundationsTech Foundation4.173.121.95
- DataData Engine4.112.672.31
- Governance & ecosystemExternal Alignment3.582.442.43
- AdaptabilityDynamic Capabilities4.132.661.84
Takeaway: The advanced profile scores above 4 on five dimensions and only 3.58 on External Alignment. The intermediate and early-stage profiles are practically level on External Alignment (2.44 versus 2.43).
Profiles of n = 12 (advanced), 27 (intermediate) and 25 (early-stage) · Mean on the maturity scale 1 (least developed) to 5 (most advanced) · Probst 2026, Table 5
- 01
Openness meets adaptation gaps
Employees' openness to change scores 3.94 of 5, the highest of all 19 items. The ability to adapt structures and processes scores 2.47, the lowest. The bottleneck is not acceptance but the way work is organised.
DACH analysis, n = 64, maturity scale 1–5. European survey: 4.01 versus 2.59 (n = 165 and 163).
Chapter 06: AdaptabilityFigure 17Openness to change versus the ability to adapt structures - Q6 InnovativenessOpenness to change3.944.01
- Q18 Reconfiguring (Structures)Adapting structures and processes2.472.59
Takeaway: In the DACH analysis, openness (Q6) scores 3.94 and adapting structures and processes (Q18) 2.47. The European survey shows the same pattern: 4.01 versus 2.59.
Item means per analysis · Mean on the maturity scale 1 (least developed) to 5 (most advanced) · Probst 2026, Appendix B
- 02
Three profiles show different starting points
A cluster analysis splits the 64 organisations into an advanced profile (12), an intermediate one (27) and an early stage (25). Adaptability separates them most sharply; on external alignment the intermediate and early-stage profiles are level.
DACH analysis, n = 64. K-means with three clusters; shares describe the sample, not the market.
Readiness profiles in detailFigure 10 Takeaway: 12 of 64 organisations (18.8%) fall into the advanced profile, 27 (42.2%) into the intermediate one and 25 (39.0%) into the early stage.
n = 64 organisations · Number of organisations and share in percent · Probst 2026, Table 5
- 03
External conditions remain a challenge
Governance, ecosystem and the handling of the EU AI Act score low across all three profiles. Even the advanced profile reaches only 3.58 here, its sole score below 4. The gap is systemic, not company-specific.
DACH analysis, n = 64. Gap between the advanced profile (n = 12) and the early stage (n = 25) in scale points.
Chapter 05: Governance & ecosystemFigure 12Gap between the advanced profile and the early stage per dimension - AdaptabilityDynamic Capabilities2.29
- LeadershipLeadership2.24
- Technology foundationsTech Foundation2.22
- DataData Engine1.80
- People & capabilitiesInternal Assets1.79
- Governance & ecosystemExternal Alignment1.16
Takeaway: The gap is widest on Dynamic Capabilities (2.29 scale points) and narrowest on External Alignment (1.15). External alignment barely separates the profiles; adaptability separates them most sharply.
Advanced n = 12 versus early stage n = 25 · Difference of means in scale points (1–5) · Probst 2026, Appendix C
The European survey (n = 165) confirms the order: leadership and people ahead, data and adaptability behind. The model behind it rests on a review of 52 international studies; the comparison sits in the «What is AI readiness?» chapter.
Dimensions
Five foundations and the ability to move them
Leadership, people, technology, data and governance form the foundations. Adaptability shows whether you can keep developing them. The study chapter explains the framework and all six dimensions in detail.
Contents
The path through the edition
Twelve pages in reading order, each with a short answer, a figure and a table. Every page leads on to the next; at the end of the edition the AI readiness check is waiting.
- Introduction
- Foreword3 min readMake decisions stick.
- What is AI readiness?3 min readWhat does organisational AI readiness mean?
- Key findings4 min readWhat does the AI Monitor 2026 show?
- Six dimensions
- 01 · Leadership & strategy3 min readHow does leadership enable AI readiness?
- 02 · People & capabilities3 min readWhat capabilities does your team need for AI?
- 03 · Technology foundations3 min readWhat technology foundations does AI need?
- 04 · Data readiness3 min readHow ready is your data for AI?
- 05 · Governance & ecosystem3 min readHow well is your organisation aligned externally?
- 06 · Adaptability4 min readHow should workflows change for AI?
- Synthesis
- Readiness profiles4 min readWhich readiness profiles do the data show?
- Methodology & sources5 min readHow was AI readiness measured?
- Practical application4 min readWhat should your company change now?
- Afterwards
AI Readiness Check
Twelve questions, your readiness profile. Each dimension of your profile links back to the matching AI Monitor chapter.
Your readiness profile
- 01Leadership & strategy
- 02People & capabilities
- 03Technology foundations
- 04Data readiness
- 05Governance & ecosystem
- 06Adaptability
PDF edition
The AI Monitor 2026 as a PDF
Every chapter in landscape format to read, share and present: findings, figures, interpretation and sources. Enter your email address; the download starts right away, and we also send you the link by email.
We email you the link and occasionally get in touch about the AI Monitor. No sharing, unsubscribe any time. Privacy
Publisher
Published by Teklens
The AI Monitor 2026 rests on a two-stage study design. In the first stage, Teklens surveyed organisational AI readiness across Europe; that survey of 165 participants is the Teklens pre-study for the 2027 edition, whose research partner is ETH Zurich with TUM. In the second stage, a master's thesis at the University of St.Gallen examined the DACH region in depth. This edition focuses on those DACH results, Swiss AI readiness, and uses the European values as a reference.
- Survey period
- March to May 2026
- Scale
- 19 items, maturity levels 1 to 5
- Profiles
- K-means, three clusters
- Limits
- Self-assessment, exploratory, segments below five cases not shown
- Stage 1Teklens pre-study165 participantsTeklens pre-study AI Monitor with 165 participants across Europe. Research partner for the 2027 edition: ETH Zurich with TUM.ai-monitor.ch
- Stage 2DACH deep diven = 64 organisationsMaster's thesis at the University of St.Gallen (Probst, 2026) focused on Germany and Switzerland: maturity scale 1 to 5, three readiness profiles. Written in collaboration with Studyond.studyond.com
- This editionInterpretation by TeklensDACH analysis, Europe as referenceTeklens presents the DACH analysis and interprets it against the European pre-study and international studies.
Both analyses come from the same survey but were filtered differently. They are therefore reported separately and never combined. All values are self-assessments; the samples are exploratory and not representative.
Research authorship of the thesis rests with its author. Foreword, interpretations and recommendations are by Teklens as publisher and are labelled as such. ETH Zurich with TUM is the research partner for the 2027 edition and the thesis was written at the University of St. Gallen; neither is a reference customer.
The team behind the AI Monitor
Teklens publishes the AI Monitor. The team connects academic depth with practical product work.

Next step
Where does your team stand? The AI readiness check.
Twelve questions on the same six dimensions and five maturity levels. After each answer you see the study value; at the end your profile and the Activities from the AI Product Playbook that help first.
Free, no login. A self-assessment for orientation, not a statistically validated profile assignment.





