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GDP growth in 2036? — 2.6% to 3.0%

KXGDPYEAR-36-B2.8 · Economics · 2026-08-09
8%
Agent
7%
Market Price
+1.5%
Edge
medium
Confidence
Volume: 14,790
Spread: 1.0c
Days to resolution: 4161
Markets in event: 14
Final Rationale
The 2.6–3.0% band sits ~0.6–1.0pp above every mainstream long-run projection (CBO 1.8%, Fed SEP 2.0% median, Blue Chip 1.7–2.1%), so YES requires an upside tail — an AI/productivity shock or an unusual labor-force rebound (CBO's 2.8% scenario) — rather than the central case. Counterweighting that, single-year growth is genuinely volatile (std ~1.8–2.2pp), the 2000–2024 empirical capture rate for this bin is ~24% (small n, and inflated by a higher recent mean), and normal/fat-tail fits centered near 2.0% give ~7–9% for a 0.4pp bin. The Kalshi anchor of 7% (down 3pp on moderate volume, so the trend is partly noise) plus an unresolved resolution-mechanics gap at bucket edges argues against straying far from the market. I land marginally above the anchor at 8.5%, weighting the forward-looking institutional consensus more heavily than the backward-looking recent-decade base rate, which likely does not generalize to 2036 given demographic headwinds.
Price vs. prediction
How the market moved after the agent's call. Solid blue line is the actual market price; dashed line is the agent's static forecast at $t{=}0$.
$n = 24$ follow-ups
1. Planner Opus · Fermi decomposition + tool plan
Tools chosen: kalshi_direct kalshi_related fred code_execution claude_news polymarket_related
Sub-questions (Fermi decomposition)
  1. What is the current Kalshi YES price and volume for KXGDPYEAR-36-B2.8, and what do the other 2036 buckets imply about the market's full distribution (after de-vigging)?
  2. What fraction of US calendar years since 1950 (and since 1990) had annual real GDP growth between 2.6% and 3.0% — i.e., the empirical base rate for this 0.4pp-wide bin?
  3. What are the long-run official projections for US real GDP growth around 2036 (CBO 10-year budget/economic outlook, Fed SEP longer-run, SSA trustees), and where does the 2.6–3.0% bin sit relative to that central tendency?
  4. What is the historical standard deviation/dispersion of annual US real GDP growth, and what probability does a normal/empirical distribution centered on ~1.8–2.1% assign to the 2.6–3.0% bin?
  5. How does Kalshi define the GDP growth measure for these markets (BEA annual average real GDP % change vs Q4/Q4), and does the possibility of subsequent BEA revisions/benchmark rebasing affect bucket resolution?
  6. Are there structural factors (AI-driven productivity acceleration, labor force/immigration trends, deficits) that would shift the 2036 central forecast materially above ~2%?
Planner reasoning
This is an ultra-long-horizon macro question (2036 GDP, resolving in 2037), so the dominant inputs are the historical base rate of US annual real GDP growth falling in the 2.6–3.0% bin, long-run consensus projections (CBO/Fed SEP longer-run ~1.8–2.0%), and the current Kalshi price across the full bucket ladder. I'll anchor on the direct market, pull the sibling buckets for an implied distribution, get FRED GDP data for the empirical distribution, and compute base rates.
2. Research Parallel tool calls
ToolStatusTimeItemsSummary
kalshi_direct OK 0.2s 1 ## This Market's Kalshi Data **2.6% to 3.0%** (KXGDPYEAR-36-B2.8) - Current price (probability): 7.00% - 7-day price change: -3.00% - 30-day price change: +1.00% - Average daily volume: 1367 contracts - Price range: 5.00% - 10.00% - Data points: 9 days
kalshi_related OK 3.9s 2 2 related markets / summaries. series KXGDPYEAR: 0 markets (skipped 100 no-signal) | keyword 'GDP growth 2036': ok | keyword 'GDP growth year': ok
fred OK 5.8s 6 Fetched 6 FRED series (lookback=3650d) (via search 'real gross domestic product annual percent change').
code_execution OK 89.3s 0 The append didn't persist across calls (separate container state). Let me just write the full combined script fresh in one file. ## Key Findings: P(2026 GDP growth in 2.6%–3.0% bin) **Empirical base rates (hardcoded BEA annual real GDP % change, 1948–2024)** - **Full sample (1948–2024, n=77):** 11
claude_news OK 28.5s 12 ## Key Findings **CBO Baseline (latest: Feb 2026, "Budget and Economic Outlook 2026–2036")** - CBO's latest baseline (covering fiscal years 2026-2036) projects economic output growth accelerates in 2026 as the 2025 reconciliation act boosts consumer spending, then economic growth slows, averaging
polymarket_related OK 3.8s 0 Scanned 100 active Polymarket markets, kept 0 matches. keyword 'GDP growth': 0 markets | keyword 'US recession': 0 markets | keyword 'US GDP 2026': 0 markets
3. Evidence Brief Sonnet · 6806 chars
# Current state This is a long-horizon (resolves after 2036) structural/economic forecasting market on which 0.4pp GDP-growth bucket captures actual 2036 US real GDP growth. No 2036-specific data exists yet; the question must be assessed via base rates and long-run institutional forecasts, not near-term news. # Timeline of key events - 2026-02: CBO releases "Budget and Economic Outlook 2026–2036," projecting real GDP growth averaging 1.8%/yr 2027–2036 (confirmed, cbo.gov). - 2026-03-18: Fed SEP sets longer-run real GDP growth central tendency at 1.8–2.0%, median 2.0% (confirmed, federalreserve.gov). - 2026 (mid-year, exact date n/a): Fed SEP update reaffirms longer-run growth ~2.0% (confirmed, Forbes tracker). - Ongoing: Blue Chip consensus for 2032–2036 averages 1.7–2.1% across forecaster range (confirmed, CBO citing Blue Chip). # Event Kalshi market KXGDPYEAR-36-B2.8: resolves YES if US real GDP growth in 2036 falls between 2.6% and 3.0%. # Outcomes to forecast - Yes (2036 real GDP growth 2.6%–3.0%) - No (growth outside this range) # Kalshi market anchor Current YES price: **7.00%**. 7-day change: -3.00pp (declining). 30-day change: +1.00pp. Avg daily volume: 1,367 contracts (moderately liquid). Price range over data window: 5%–10%. Market is pricing this bucket as a low-probability, below-consensus-center outcome. [kalshi_direct] # Sub-question answers 1. **Kalshi price/related buckets** — B2.8 (2.6–3.0%) YES = 7%. Adjacent 2035 bucket (1.6–2.0%, centered near consensus) = 9%, higher than the 2036 bucket, consistent with markets clustering probability mass near the ~1.8–2.0% institutional consensus rather than the 2.6–3.0% range. [kalshi_direct/kalshi_related] 2. **Empirical base rate 1948–2024** — Full sample: 14.3% of years fall in 2.6–3.0% band; 1985–2024 subsample: 20.0%; 2000–2024 subsample: 24.0% (bin capture rises as historical mean converges toward the band edge). [code_execution] 3. **Long-run official projections** — CBO baseline: ~1.8%/yr (2027–2036); CBO potential GDP: ~2.1%/yr (2026–2030); Fed SEP longer-run: 1.8–2.0% median 2.0%; Blue Chip 2032–2036 consensus: 1.7–2.1%. All sit ~0.6–1.0pp below the 2.6–3.0% bucket's lower bound. [claude_news/cbo.gov/federalreserve.gov] 4. **Dispersion/normal-fit probability** — Historical std ~1.8–2.2pp. Normal distribution centered at 1.9–2.1% assigns ~6.7–8.2% probability to this 0.4pp bin; fat-tailed Student-t fits raise this to ~7.6–9.4%. [code_execution] 5. **Measure definition/resolution mechanics** — Research did not find explicit Kalshi rules text specifying annual-average vs Q4/Q4 measure or revision handling; presumably uses BEA's annual % change (A191RL1A225NBEA-style series). BEA revisions could shift a close reading marginally but are not addressed in sourced research — **gap**. 6. **Structural upside factors (AI, labor, deficits)** — Goldman Sachs: AI could add ~0.4pp to growth, pushing potential to ~2.3% in early 2030s (still below bucket). Penn Wharton: AI contributes only ~0.2pp peak (2032). CBO's high-labor-force scenario reaches 2.8%/yr only if labor force growth matches 75-year historical average (an explicit upside tail, not baseline). No mainstream forecast places central 2036 growth in 2.6–3.0%. [claude_news] # Key facts (high-confidence, factual) 1. [kalshi_direct] YES price = 7%, down 3pp over 7 days, avg volume 1,367 contracts. 2. [cbo.gov] CBO baseline: real GDP growth averages 1.8%/yr 2027–2036. 3. [federalreserve.gov] Fed SEP longer-run real GDP growth: 1.8–2.0% central tendency, 2.0% median (March 2026). 4. [cbo.gov] Blue Chip 2032–2036 consensus range: 1.7% (slow) to 2.1% (fast) among forecasters. 5. [FRED A191RL1A225NBEA] Actual annual growth: 2023=2.9%, 2024=2.8%, 2025=2.1% — recent years show volatility but no clear multi-year trend toward 2.6–3.0%. 6. [code_execution] Empirical base rate for 2.6–3.0% band: 14.3% (1948–2024) to 24.0% (2000–2024, small n=25). # Cross-market signals - Kalshi related: 2035 bucket (1.6–2.0%, centered on consensus) priced at 9%, higher than 2036's 2.6–3.0% bucket (7%), confirming market believes central tendency sits well below 2.6%. - Polymarket: No matching markets found; no cross-check available. - Sportsbook implied: N/A (not applicable to this market type). # Analyst opinions and speculation - Goldman Sachs: potential growth ~2.1% (2025–29) rising to ~2.3% (early 2030s) with AI boost of ~0.4pp — still below bucket. - Penn Wharton: AI contributes only ~0.2pp peak productivity boost by 2032, smaller than Goldman. - CBO scenario analysis: only an unusually strong labor-force-growth tail scenario (matching 75-yr historical avg) reaches 2.8%/yr — explicitly framed as upside risk, not base case. - Code-execution model blend: aggregate probability estimate for this bin ≈ 11–15% (averaging empirical, normal, fat-tail, and AI-upside variants) — notably higher than Kalshi's 7% price, suggesting market may be underpricing relative to a naive statistical blend, though this model uses recent-decade empirical rates that may not generalize to 2036 given demographic/labor headwinds. # Directional lean per outcome - **Yes (2.6–3.0%)**: Supported by elevated 2000–2024 empirical base rate (24%) and mild AI-upside scenarios; opposed by unanimous institutional consensus (CBO, Fed, Blue Chip) clustering at 1.8–2.1%, ~0.6-1pp below bucket floor, and by Kalshi's own declining price (7%, trending down). - **No**: Strongly favored — virtually all structural/institutional forecasts sit below this bucket; achieving 2.6–3.0% by 2036 would require growth ~40-60% above consensus trend, a scenario analysts treat as tail risk (AGI breakthrough or extraordinary labor force rebound) rather than central case. # Gaps / unknowns - No explicit confirmation of Kalshi's exact resolution source/measure (annual avg vs Q4/Q4) or revision-handling — could matter given 0.4pp bucket width. - No 2036-specific forecasts exist yet (11 years out); all evidence is extrapolated from current-decade projections, which carry high uncertainty for a single-year 2036 realization. - Distribution shape (fat tails, business-cycle timing) around 2036 specifically is unmodeled beyond generic historical dispersion. - Full de-vigged distribution across all 2036 buckets not available (only two buckets' prices retrieved). # Calibration anchors - Kalshi current YES price: **7%** (anchor, trending down from 10%). - Statistical/model blend estimate: ~11-15%, but built on backward-looking base rates in tension with forward-looking institutional consensus (~1.8-2.1% mean), which argues for a lower probability, closer to or below Kalshi's 7%. - Precedent: adjacent 2035 bucket near consensus center priced only 9%, implying market applies substantial uncertainty discount even to central-tendency bins over an 11-year horizon.
4. Forecasters Opus + GPT · in parallel
claude-opus-5
medium
Yes 9%
No 91%
Institutional consensus (CBO 1.8%/yr through 2036, Fed SEP longer-run 2.0%, Blue Chip 1.7–2.1%) sits ~0.6–1.0pp below the 2.6–3.0% bucket floor, so this bin is an upside tail rather than a central case; even Goldman's optimistic AI-boosted potential of ~2.3% falls short. Empirical base rates offer some counterweight (14% since 1948, 24% for 2000–2024, and 2023–24 actuals of 2.9%/2.8%), and normal/fat-tail fits centered at ~2.0% give ~7–9% for a 0.4pp bin. Kalshi prices YES at 7% (down from 10%), with the near-consensus 2035 bucket at only 9%, showing heavy dispersion of probability across many buckets at an 11-year horizon. I settle slightly above the Kalshi anchor at 9%, splitting the difference between the market and the ~11–15% statistical blend.
gpt-5.5
medium
Yes 9%
No 91%
Anchoring on Kalshi's YES price of 7%, the market treats the 2.6%–3.0% bucket as a low-probability tail, with the price recently declining. The related-bucket evidence points toward No because markets place more mass near the institutional consensus around 1.8%–2.0%, while CBO, Fed SEP, and Blue Chip forecasts all sit roughly 0.6–1.0pp below this bucket. Historical base rates and normal/fat-tail fits point somewhat toward Yes, with estimates around 7%–15%, because single-year GDP growth is volatile and this band has occurred nontrivially in past samples. AI and labor-force upside scenarios also support some Yes probability, but mainstream forecasts still do not put central 2036 growth in this range, so I move modestly above Kalshi but keep No strongly favored.
5. Devil's Advocate Sonnet · red-team critique
1. Both forecasts converge identically at 9% with near-identical reasoning, suggesting insufficient independent exploration of the tension between the empirical base rate (24% for 2000–2024) and the institutional consensus (~1.8–2.0%) — neither seriously entertains that the "true" probability could be closer to the 11–15% statistical blend rather than splitting toward the lower Kalshi anchor. 2. Neither forecaster grapples with the resolution-mechanics gap flagged in the brief ("No explicit confirmation of Kalshi's exact resolution source/measure... could matter given 0.4pp bucket width") — this ambiguity could meaningfully shift probability mass at bucket edges and deserved explicit mention as a source of uncertainty. 3. Both treat the 2000–2024 subsample (24% base rate) as roughly equal-weighted evidence to the 1948–2024 full sample (14.3%), but neither explains why they ultimately lean so heavily on the institutional/Kalshi side despite this recent-decades base rate being nearly 3x higher than their final ~9% estimate — the small-n (25) caveat is acknowledged in the brief but not clearly incorporated into their confidence calibration. 4. Neither forecast considers that Kalshi's own declining price trend (7%, down 3pp over 7 days, down from a 5-10% range) might reflect thin/moderate liquidity (1,367 contracts) noise rather than genuine information update, yet both treat this decline as a meaningful directional signal without flagging the liquidity caveat. 5. Both forecasts land at exactly 9%, essentially splitting Kalshi (7%) and the statistical blend (11-15%) down the middle, but this arithmetic-midpoint approach isn't justified against the brief's warning that the blend "uses recent-decade empirical rates that may not generalize to 2036 given demographic/labor headwinds" — a more asymmetric weighting toward the institutional consensus (favoring a number closer to Kalshi's 7%) could be equally defensible and wasn't explored. 6. Neither forecaster explicitly addresses the tail scenario where AGI/productivity shock or extraordinary labor-force rebound (CBO's 2.8%/yr scenario) materializes, even though this is the single most plausible pathway to YES and warranted a distinct probability contribution rather than being folded generically into "AI-upside."
6. Aggregator Opus · final calibrated forecast
8% (medium confidence)
Yes: 8% No: 92%
The 2.6–3.0% band sits ~0.6–1.0pp above every mainstream long-run projection (CBO 1.8%, Fed SEP 2.0% median, Blue Chip 1.7–2.1%), so YES requires an upside tail — an AI/productivity shock or an unusual labor-force rebound (CBO's 2.8% scenario) — rather than the central case. Counterweighting that, single-year growth is genuinely volatile (std ~1.8–2.2pp), the 2000–2024 empirical capture rate for this bin is ~24% (small n, and inflated by a higher recent mean), and normal/fat-tail fits centered near 2.0% give ~7–9% for a 0.4pp bin. The Kalshi anchor of 7% (down 3pp on moderate volume, so the trend is partly noise) plus an unresolved resolution-mechanics gap at bucket edges argues against straying far from the market. I land marginally above the anchor at 8.5%, weighting the forward-looking institutional consensus more heavily than the backward-looking recent-decade base rate, which likely does not generalize to 2036 given demographic headwinds.
Pipeline Timing
Total pipeline time: 171.1s
Per-tool research timings shown in the Research section above.