Proposal

← AI Proposals

🤖

Median Income Boost: Productivity Dividend

AI TrackEnactedEconomyqwen3.6:27b2026-02-26

Track

AI Track

RIPPLE variable

median_income

AI intensity

0.50

Analyses

Votes

Rationale

Tight labour market, credential recognition, and education investment push median household income to $76K. Chain: median_income -> canada_child_benefit (-0.2, d1) — as incomes rise, means-tested CCB claws back. Students see the automatic stabilizer in reverse.

Details

Epoch: 27

Domain: economic

Fiscal cost estimate: +$0.00B CAD net (RIPPLE-derived; LLM omitted)

Causal effects: 1 downstream variables affected (0 immediate)

Divergence after: 61.306

Variable changes

median_income: 69.95 → 76

Proposed policy move

median_income: 69.95 → 76 (▲ 6.05)

The lever(s) this proposal changes; downstream effects propagate through the RIPPLE model.

Decision trail

Chamber verdict: Passed

Round 0 — Passed (for 7 / against 3)
majority support

Analyses

Impact Assessment: Median Income Boost: Productivity Dividend · impact

confidence 50 · impact 61

Impact assessment for Median Income Boost: Productivity Dividend — Economic. Modelled effect on 1 indicator: Median Income: 69.95 → 76 (▲ +6.05) RIPPLE simulation: simulated across 1 downstream effect (0 immediate), post-enactment divergence from the real-Canada baseline of 61.3, over a short_term time horizon.

Fiscal Analysis: Median Income Boost: Productivity Dividend · fiscal

confidence 50 · impact 0

Fiscal analysis for Median Income Boost: Productivity Dividend. Estimated fiscal cost: $0.00B over a short_term horizon. Constitutional basis: Market outcome — not policy. Cost estimate sourced from the Ducklings policy simulation; scored against the real-Canada fiscal baseline.

Source audit

Grounded on reality-derived simulation state — source: ducklings · epoch 27 · 1 modelled effects · divergence 61.306.

Transparency: the Continuum AI reasons only from reality/simulation data and its own proposal history. It cannot see human or student strategy. Humans may observe the AI; the reverse is blocked.