Answer capsule
Wharton's current AI in Marketing program page lists a three-phase sequence: self-paced September modules, live online sessions on September 22–23, and an in-person Philadelphia experience on October 6–8. The page says each phase builds on the last and that participants arrive on campus after testing concepts and sharpening questions. Before the sponsor releases travel time and cost, require evidence that the participant completed the prerequisites, can apply them to the declared learning job, and is ready for the next phase.
What the source establishes
- Wharton's official page lists a September 22 to October 8, 2026 blended offering at $9,350, with self-paced modules in September, live online sessions September 22–23, and an in-person Philadelphia phase October 6–8.
- The provider says the three phases build on one another and that participants should reach the in-person phase after testing concepts and sharpening questions.
- The curriculum covers customer insight and segmentation, creative work, pricing, brand strategy, digital twins, LLM optimization, customer journeys, research, and AI agents interacting with customers.
- The page lists application-review timing, group-enrollment benefits for four or more participants, accommodations and meals in the program fee, and warns that prices are subject to change; it does not establish admission, attendance, phase completion, or transfer.
Define the learning job and phase outputs
Before enrollment, name the participant's role, current marketing or cross-functional decision, baseline capability, approved time, and artifact to improve. Map each phase to an observable output: the self-paced phase might produce a concept map and questions; the live phase a challenged hypothesis and revised application plan; the in-person phase a decision brief or bounded experiment. Identify which curriculum topics are central and which are orientation. A broad marketing-AI program can be useful without being equally deep in customer research, brand, pricing, analytics, digital twins, agents, and LLM optimization for one participant.
Require evidence before the next phase
Set an entry gate before the live sessions and another before travel. Confirm admission, access, module completion, required exercises, material questions, scheduled attendance, accessibility, approved tools, and a confidentiality-safe application case. After the live sessions, ask the participant to explain what changed, which assumption was challenged, what remains unclear, and how the in-person work will use the remaining time. Release travel and protected work time only when the next phase still serves the learning job. Completion evidence is a planning control, not a claim of competence.
Plan for missed or changed phases
Obtain the current schedule, time zones, attendance and replay rules, faculty participation, assignments, platform access, travel and lodging inclusions, substitution, deferral, cancellation, and what happens when an earlier phase is incomplete. Test a late admission, missed live session, delayed platform access, changed work deadline, travel disruption, accessibility need, and program-date change. Preserve provider confirmation and the sponsor decision for each exception. A participant should not arrive in Philadelphia expected to build on work they could not access or complete, and prior spend should not force further spend when the learning sequence is broken.
Transfer one marketing decision after return
Within a defined period, have the participant revise the declared workplace artifact using current authorized evidence and review it with marketing, product, technology, finance, privacy, legal, customer, or data owners as relevant. Observe whether the participant can frame the customer-value question, distinguish evidence from generated interpretation, challenge a model or framework, set action and measurement boundaries, and explain uncertainty. Keep admission, attendance, phase completion, participant feedback, learning evidence, workplace transfer, and business result as separate records. Wharton's page establishes a current offer; the sponsor and participant create the transfer conditions.
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 AI in Marketing: Creating Customer Value in an AI-Driven Enterprise, the exact URL, the September 16, 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: Learning job and level; Format and time architecture; Applied work and feedback; Curriculum depth and recency. 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
Wharton Executive Education is the program provider. Its current official page describes a blended three-phase structure, dates, location, price, curriculum, audience, faculty, group-enrollment benefits, application timing, included accommodations and meals, and price-change caveat. It is undated current program evidence, not a verified post-cutoff change. It does not independently establish seat availability, admission, platform access, the actual schedule and faculty for a learner, phase completion, feedback quality, assessment, accessibility fit, competence, workplace transfer, or business outcome. Current application and acceptance records, written enrollment and cancellation terms, dated phase schedule, learning materials, participant and sponsor plan, protected-information rules, transfer artifacts, and qualified learning, marketing, privacy, security, accessibility, finance, procurement, travel, 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
- Does the learner need literacy, strategy, implementation, governance, function-specific practice, or technical depth?
- Can the learner complete the work with the available calendar and attention?
- What must the learner produce, practice, or defend?
- Which concepts, systems, limitations, risks, and operating choices are taught, and when was the material refreshed?
- 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.