As AI reshapes the value of work and money, status migrates to scarce signals — attention, influence, ownership. The SMS Score quantifies this transition.
Peer-reviewed literature and institutional research on AI economics, post-scarcity transitions, and the changing nature of status signals.
Signal Migration Score quantifies socio-economic status transition as AI and robotics shift value from labor and capital to attention, ownership, and scarce cultural signals.
As γ (transition progress) increases from 0→1, weight shifts from traditional signals (work, money-as-status) toward scarce new-economy signals (attention, ownership, influence).
γ = 1 / (1 + e−k·t) — a logistic function of time since AI inflection (Nov 2022 GPT moment).
Current (Feb 2026): t = 3.25 years, k = 0.34 → γ ≈ 0.25
Projected 2028: γ ≈ 0.55 — tipping point where new signals dominate status.
| Mv | Money as Store of Value (0–100) — Net worth, assets, liquidity. Persistent across transitions. |
| O | Scarce Signals (0–100) — Attention, cultural influence, aesthetic ownership, credentials, IP. The rising currency. |
| Ws | Work-Derived Status (0–100) — Role prestige, professional standing, institutional affiliation. Erodes under automation. |
| Ms | Money as Status Signal (0–100) — Visible wealth as social marker. Decouples from utility over time. |
| γ | AI Transition Progress (0–1) — Logistic adoption rate weighting. Currently 0.25. |
| k | Adoption Rate Constant — 0.34 based on technology diffusion modeling. |
| t | Time since AI inflection — Measured from Nov 2022 (GPT-3.5 / ChatGPT launch). |
| 0–150 | Transition Laggard — Status heavily tied to traditional work/money signals. High automation risk. |
| 150–200 | Mid-Transition — Balanced mix of old and new signals. Opportunity to build O ahead of γ rise. |
| 200–250 | Signal Pioneer — Strong new-economy positioning. Influence and ownership actively accumulating. |
| 250+ | Elite Signal Holder — Maximum attention, ownership, and cultural influence. Global benchmark tier. |