Augmented
Intelligence
Research
A PhD research program on how large language models reshape performance and professional identity in real organizations.
Two streams:
- S2 explains when LLM use produces capability gains – and when it produces hidden verification burden.
- S3 explains how AI adoption reshapes occupational identity – where mandate, boundaries, accountability, and recognition shift first.
Data-Driven Design
OI Threat Radar™
A short, role‑first diagnostic that shows how strongly AI/tech disruption is pressurizing your occupational identity right now - so you can protect decision rights, role boundaries, and credibility signals before drift becomes career risk.
2 minutes. Instant posture + Hot Zones. 1‑page PDF by email.
OI Profile™
A 1–2 page “prescription” that turns your Radar signals into a credible next‑identity hypothesis.
You get a role headline, core function, differentiators, target roles, and a 90‑day experiment direction—so you can see what you’re buying before you commit to a full redesign.
OI Lab™
A 6‑week lab that redesigns your occupational identity under AI disruption—producing 1–3 identity prototypes, mandate redesign options, and a 90‑day experiment plan you can :contentReference[oaicite:13]{index=13}ng. Identity change with artifacts and proof logic.
LLM Literacy Lab™
A practical literacy lab that installs evidence discipline for LLM‑assisted work.
You learn operational skill, critical verification, and ethical guardrails - so you can use LLMs safely and efficiently for research, writing, and decision support.
2 research streams
Radar items
6-week OI Lab
90-day experiment plan output
"AI Augmentation has two pathways: capability gains and verification burden. Literacy determines which one dominates."
"Identity drift is rarely loud. It shows up first as boundary blur, mandate dilution, and weakened recognition signals."