Answer capsule
IMD currently publishes four percentages attributed to 2024 participants in its five-day AI Strategy and Implementation program, including reported learning, application, practical steps, and relevant ideas. A program buyer should request the cohort size, response rate, exact questions, collection timing, missing responses, and follow-up method before treating those percentages as evidence of competence, transfer, or business impact.
What the source establishes
- IMD’s current page lists AI Strategy and Implementation as a five-day on-campus program in Lausanne with a published fee of CHF 10,900.
- The page lists multiple 2026 and 2027 dates and currently marks the 14–18 September 2026 session full.
- IMD attributes four percentages to participants who attended in 2024: 98% for fresh knowledge, 100% for application, 93% for practical steps, and 95% for relevant tools or ideas.
- The visible program page does not by itself state the respondent count, response rate, exact instrument, comparison, follow-up duration, or independently measured organizational outcome.
Classify each percentage at the evidence level it supports
The direct answer is to treat the displayed figures as provider-reported participant statements until the method supports a stronger label. Fresh knowledge and relevant ideas may measure reaction or perceived learning. A statement that a participant could apply something is different from observed application, sustained behavior, improved decision quality, implementation, or business value. Record the construct, exact item, response scale, numerator, denominator, eligible population, timing, and who administered the collection. Do not combine four different questions into one universal program-outcome score.
Request the cohort and response record
Ask which 2024 session or sessions were included, how many participants enrolled, attended, completed, received the survey, and responded, and whether partial responses or favorable categories were combined. Request the collection point, reminders, anonymity, sponsor visibility, translations, exclusions, missing-data treatment, question order, and whether the provider, a platform, or an independent evaluator performed the analysis. Self-selection and immediate post-program optimism can materially affect interpretation. A 100% figure is not informative without knowing the population and what counted as application.
Match enrollment to curriculum and transfer conditions
Use the current page to verify format, location, duration, fee, audience, curriculum, faculty, dates, capacity status, and certificate eligibility, then compare those facts with the participant’s actual learning job. Before purchase, name the leadership decision or capability, prerequisite knowledge, protected attendance, company material allowed in class, accessibility, sponsor expectation, post-program owner, application opportunity, and evidence due after return. Strong participant sentiment cannot repair a mismatch between the course and the learner’s role, readiness, organizational authority, or available transfer environment.
Measure transfer without borrowing the provider percentage
Set a buyer-owned baseline and follow-up for a bounded capability: explain a decision, challenge an assumption, evaluate evidence, frame an experiment, or apply a governance concept in a real review. Preserve the work sample, observer, rubric, period, practice opportunity, support, and limitations. Recheck dates, seat status, content, faculty, fee, travel, admissions, accessibility, cancellation, credential path, and terms before committing. IMD is the provider source; current enrollment records, method documentation, participant needs, sponsor authority, and qualified learning, accessibility, measurement, finance, privacy, procurement, and legal review control.
Turn this source into a reviewable decision
For AI Leadership Programs for Executives, use this briefing as a dated decision record rather than a substitute for the source. Preserve IMD, the exact URL, the August 15, 2026 review date, the supported facts above, the editorial interpretation, the limitations, and any buyer-specific evidence. Link that record to the decisions most directly affected: Cohort and peer design; Applied work and feedback; Learning job and level; Transfer to organizational work. State whether the source changes the scope, evidence requirement, control, sequence, or only the language used to describe the decision.
Before action, name the accountable owner, affected population and workflow, exact offering or configuration, source data and rights, human decision point, exception and appeal path, complete cost, expected benefit, failure and stop conditions, retained evidence, and next review date. Keep official facts, provider statements, buyer observations, representative tests, measured outcomes, editorial inferences, and unknowns visibly separate. Reopen the record when the source, offer, model, integration, data, policy, population, responsible person, or measured result changes.
Limitations and unknowns
IMD is the provider source. Its current AI Strategy and Implementation page describes program format, location, duration, fee, dates, session status, audience, curriculum, faculty, testimonials, certificate eligibility, and four percentages attributed to 2024 participants but does not independently establish the respondent population, response rate, full instrument, comparison, follow-up, participant fit, competence, transfer, implementation, career effect, or business outcome. Current program, enrollment, and method records, participant needs, sponsor authority, and qualified learning, accessibility, measurement, finance, privacy, procurement, and legal review control.
Decision test
Ask whether the source changes the decision itself, the evidence required, the implementation sequence, or only the language used to describe an existing capability. Record which claims are directly supported, which are provider statements, which require an independent test, and which remain unknown. A source-linked review should make uncertainty easier to see, not bury it inside a blended score.
Questions to take into review
- Who will learn alongside the participant and how does peer exchange influence the experience?
- What must the learner produce, practice, or defend?
- Does the learner need literacy, strategy, implementation, governance, function-specific practice, or technical depth?
- What happens after completion so knowledge changes a real decision or workflow?
The publication supports research and executive decision preparation. It does not provide legal, financial, accounting, employment, clinical, cybersecurity, investment, procurement, or implementation advice.