JMH Studio Draft v0.7
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5. Emerging Tech Scope

What the tiers mean, and when
Tier 1 is what gets built and staffed starting now — scoped this fall (Phase 0), piloted as embedded units inside existing courses by Phase 1 (2027), no new credit slots required. Tier 2 is real but secondary — modules, not full tracks, phased in during Phase 1–2 as bandwidth and partner interest allow, riding the same existing-course infusion pattern rather than requiring new faculty hires. Tier 3 is explicitly NOT built — it's monitored via the annual advisory review (§8) and only promoted to Tier 2 if a real partner or faculty champion appears.

Real estate — the gap and the fold-in

Starting here, because it's the one gap that's total: real estate has no presence in Jesuit's curriculum at all today — not even adjacent to Financial Accounting H or Business Ethics H, the courses already tapped for the digital-assets module below. Given the program architect's own practitioner background (a decade of real estate deal execution and asset management, an active AI-native real-asset-platform practice) and Jesuit's own development legacy and strength as a campus institution, Real Estate & the Built Environment is a natural Tier 2 addition: market analysis, development finance, and AI-enabled property/portfolio data folded into Financial Accounting H or a partnered elective — the same low-cost infusion pattern as digital assets, with direct practitioner credibility behind it from day one.

Tier 1 — build now

Tier 2 — modules, not tracks

Tier 3 — watch, don't build

Infusion in practice — illustrative examples by department

Anchored to actual courses in the current Curriculum Guide; each is a unit or recurring practice inside an existing course — zero new credit slots consumed.

DepartmentIllustrative infusion
EnglishAdversarial critique of AI-written essays; prompt construction as applied rhetoric.
TheologyMagnifica Humanitas & Antiqua et Nova as primary texts; algorithmic-bias cases through Catholic Social Teaching.
Accounting/BusinessManual vs. AI-agent close — grade the auditing of machine work; tokenized-assets unit; real estate development-finance unit.
HistoryTechnological revolutions thread: print → steam/Rerum Novarum → electrification → internet → AI.
MathPython notebooks alongside the TI-84; model literacy; karting/co-curricular telemetry as a live dataset.
ScienceAlphaFold in Bio; simulation-first labs in Physics; ML on ocean datasets in Marine Science.
Foreign LanguageAI conversation partners; translation-criticism of machine output.
Fine Arts / Digital CommGenerative tools with an authorship/ethics frame; synthetic-media detection.
AP CapstoneAI-era research methods, disclosure norms.
AthleticsPerformance analytics and computer-vision form analysis.
ServiceStudents teach AI/drones/dragster engineering to underserved youth (UYRS corps, §6).