Scan: Will U.S. nonfarm productivity YoY in any quarter for 2026 be above 3%?

date	predicted	market price	confidence
2026-04-07	43%	42%	45%

1. Planner Opus · Fermi decomposition + tool plan

Tools chosen: kalshi_data kalshi_orderbook fred_data article_search web_search code_execution

Sub-questions (Fermi decomposition)

Will U.S. nonfarm business sector labor productivity YoY growth exceed 3% in Q1 2026 based on BLS data? (w=0.25)
Will U.S. nonfarm business sector labor productivity YoY growth exceed 3% in Q2 2026 based on BLS data? (w=0.25)
Will U.S. nonfarm business sector labor productivity YoY growth exceed 3% in Q3 2026 based on BLS data? (w=0.25)
Will U.S. nonfarm business sector labor productivity YoY growth exceed 3% in Q4 2026 based on BLS data? (w=0.25)

Planner reasoning

This question resolves YES if ANY of Q1-Q4 2026 nonfarm business sector labor productivity YoY exceeds 3%. The 'any quarter' condition means I need P(at least one of four quarters > 3%), which equals 1 - P(all four quarters <= 3%). Key analytical steps: (1) Establish historical base rate of quarterly YoY productivity exceeding 3% using FRED OPHNFB data; (2) Assess the current productivity trend from recent quarters to determine if we are near or far from the 3% threshold; (3) Consider structural factors: AI adoption tailwinds vs. tariff/trade uncertainty headwinds for 2026; (4) Check if Q1 2026 data has already been released (BLS typically releases preliminary Q1 data in early May), which would give us one quarter of known data. Temporal analysis: Q1 2026 BLS data should be available now or imminent (released ~May 7, 2026). Q2 data releases ~August 2026. Q3 ~November 2026. Q4 ~February 2027, just before the March 4, 2027 resolution. The question has 4 chances to resolve YES. If recent productivity has been running 2.0-2.7% YoY, the question is whether AI-driven productivity acceleration or a recession-driven labor shedding scenario could push one quarter above 3%. Post-pandemic productivity has been more volatile, increasing the probability of one quarter exceeding the threshold.

2. Research Parallel tool calls · legacy v2

tool	status	time	items
kalshi_data	OK	1.5s	-
kalshi_orderbook	OK	0.2s	-
fred_data	OK	0.8s	-
article_search	OK	0.8s	-
web_search	OK	33.3s	-
code_execution	OK	0.0s	-

3. Evidence Synthesis Sonnet · 18 items · legacy v2

#	strength	credibility	direction	source	claim	priced in
1	STRONG	95	↓ DOWN	web_search	BLS Q4 2025 revised data (released March 24, 2026) shows nonfarm business sector labor productivity increased 2.5% YoY from Q4 2024 to Q4 2025, and 1.8% QoQ (SAAR) — the most recent known data point heading into 2026.	Yes
2	STRONG	92	NEUTRAL	web_search	BLS Q1 2026 preliminary productivity data is scheduled for release May 7, 2026 — as of the research date (May 5, 2026), Q1 2026 YoY data is not yet available.	Yes
3	STRONG	95	↓ DOWN	web_search	Annual average productivity for full-year 2025 was 2.1% above 2024, and Q4 2025 YoY was 2.5%, both below the 3% threshold — establishing that 2025 ended well short of the target.	Yes
4	STRONG	93	↓ DOWN	web_search	Q4 2025 productivity was revised sharply downward from an initial estimate of 2.8% QoQ SAAR to 1.8%, with unit labor costs revised up to 4.4%, suggesting output growth is weaker than initially thought.	Yes
5	MODERATE	72	NEUTRAL	code_execution	Historical base rate analysis over 64 quarters finds only 9 quarters (14.1%) had YoY productivity above 3%; the probability of at least one such quarter in a given year is ~45.5% based on this base rate.	No
6	MODERATE	70	↓ DOWN	code_execution	The recent 8-quarter average YoY productivity is 2.21%, which is 0.79 percentage points below the 3% threshold, suggesting that surpassing 3% would require a meaningful acceleration from the recent trend.	No
7	WEAK	52	↑ UP	article_search	Kevin Warsh (Trump's Fed chair nominee) argued in February 2026 that AI is driving 'the most productivity-enhancing wave of our lifetimes,' echoing optimism about continued above-trend productivity growth.	Yes
8	WEAK	62	NEUTRAL	article_search	Fed Chair Powell (December 2025) acknowledged AI productivity potential but said 'we're going to have to see,' reflecting uncertainty about whether AI-driven productivity gains will materialize in near-term official data.	Yes
9	STRONG	90	NEUTRAL	web_search	Q2 2026 BLS data will not be released until approximately August 2026, so there is no actual Q2 2026 data available; the question remains entirely open.	Yes
10	MODERATE	65	NEUTRAL	code_execution	With a per-quarter base rate of ~14% for YoY productivity exceeding 3%, Q2 2026 individually has roughly a 14% chance of exceeding 3% in isolation, absent a known structural shift.	No
11	WEAK	45	NEUTRAL	fred_data	FRED OPHNFB index at 119.338 as of 2025-Q3, with a large apparent YoY change that likely reflects index-level changes rather than percentage productivity growth, suggesting data interpretation requires caution.	Yes
12	STRONG	90	NEUTRAL	web_search	Q3 2026 BLS data will not be released until approximately November 2026; no data is available and the outcome depends heavily on macro conditions in mid-2026.	Yes
13	MODERATE	58	↓ DOWN	article_search	Tariff and trade uncertainty under the Trump administration (as of early 2026) represents a headwind to output growth that could suppress productivity, particularly if supply chain disruptions reduce output without proportional labor reductions.	Yes
14	WEAK	48	↑ UP	article_search	AI adoption is cited by multiple sources as a structural tailwind for productivity, which could push YoY readings higher in later 2026 quarters if adoption accelerates.	Yes
15	STRONG	90	NEUTRAL	web_search	Q4 2026 BLS data will not be released until approximately February 2027, just before the March 4, 2027 resolution date; this is the last possible chance for resolution.	Yes
16	MODERATE	68	NEUTRAL	code_execution	The cumulative probability across four independent quarters of at least one exceeding 3%, given a 14.1% per-quarter base rate, is approximately 45.5%; however, correlation across quarters (shared macro conditions) means this is not fully independent.	No
17	MODERATE	65	↓ DOWN	kalshi_data	The Kalshi market (KXNFPROD-27MAR04-T3) for 'above 3%' any quarter in 2026 is priced at 50%, down 2% over 7 days and down 19% over 30 days, suggesting market participants have been revising down expectations significantly.	Yes
18	WEAK	35	NEUTRAL	kalshi_orderbook	The Kalshi orderbook shows extremely wide bid-ask spread ($0.01 yes_bid, $0.01 no_bid, spread of $0.98) with 23,361 depth, which raises concerns about whether the reported 50% price reflects genuine market equilibrium or a stale/illiquid book.	No

Information Gaps

Q1 2026 actual BLS productivity data (scheduled May 7, 2026) — not yet released as of research date; this is the single most important missing data point
No information on Q1 2026 output/hours worked trends that would allow estimation of the YoY figure before official release
No specific economist forecasts or consensus estimates for Q1-Q4 2026 productivity YoY growth
Unclear whether tariff impacts (April 2026 escalation) will depress output enough to affect productivity measures in Q2-Q3 2026
No data on whether AI-driven productivity gains are showing up measurably in BLS sectoral data vs. remaining theoretical
The FRED OPHNFB data appears to show anomalous YoY changes (+9.069) that may reflect index-level rather than percentage-change data, creating ambiguity in interpreting the FRED output
No recession probability estimates that would inform whether a downturn (which can create spike in productivity via labor shedding) is likely in 2026

Key Uncertainties

Whether Q1 2026 (releasing May 7, 2026) will show a jump above 3% YoY, given Q4 2025 was 2.5% and there may be base effects or AI-driven acceleration
Whether tariff-driven trade disruptions will significantly reduce output growth in Q2-Q3 2026, pulling productivity below trend
Whether AI adoption will produce a measurable step-change in measured labor productivity in 2026 or remain below the detection threshold of BLS data
Potential for a recession in 2026 — recessions can paradoxically spike measured productivity if firms shed labor faster than output falls, which could push one quarter above 3%
The Kalshi orderbook spread anomaly ($0.98 spread) makes market price reliability uncertain — the 50% market price may not reflect informed consensus
Base effects: If Q1 2025 had weak productivity, this creates a favorable YoY comparison for Q1 2026; the specific quarterly levels are unknown from the available data
Revisions risk: BLS data undergoes multiple revisions, and the Q4 2025 revision was large (-1.0pp QoQ), suggesting future quarters could be significantly revised

Market Context

Price: 0.5 · 7d: -0.02 · 30d: -0.19
Volume: MODERATE · Depth: HIGH (23,361 contracts) but with anomalous $0.98 spread suggesting possible data quality issue
Reliability: LOW-MEDIUM — the extreme bid-ask spread ($0.01/$0.01) is inconsistent with the reported depth and suggests the orderbook data may be stale or erroneous; the 30-day price decline of 19 points (from ~69% to 50%) is meaningful signal of deteriorating market expectations

4. Independent Forecaster Opus · No market price · legacy v2 Did NOT see market price

Independent estimate: 39% (47% confidence)

base rate

36%

45% conf

evidence driven

40%

50% conf

contrarian

40%

45% conf

Spread

4pp

Low disagreement

sq1: Q1 2026 YoY productivity > 3%?

18%

Base rate ~14% per quarter. Q4 2025 was 2.5% YoY, trending below threshold. To jump from 2.5% to >3% in one quarter requires meaningful acceleration. Recent downward revisions to Q4 2025 (1.8% QoQ) push DOWN by ~3%. However, base effects and possible AI-related acceleration plus measurement noise push slightly UP. Q1 2025 had moderate productivity, so base effect is neutral. Estimate: 18%.

sq2: Q2 2026 YoY > 3%?

16%

Base rate 14%. No data yet. Tariff headwinds could suppress output (DOWN), but tariff-driven labor shedding without proportional output decline could spike measured productivity (UP). Net slightly above base rate due to volatility. Estimate: 16%.

sq3: Q3 2026 YoY > 3%?

17%

Base rate 14%. AI adoption tailwinds may build through year. Tariff disruption risk could trigger recession-style productivity spikes via labor shedding. Slightly above base rate. Estimate: 17%.

sq4: Q4 2026 YoY > 3%?

18%

Base rate 14%. By Q4, AI productivity effects most likely to show in data, and any 2026 recession may have triggered labor shedding that boosts measured productivity. Slightly higher than earlier quarters. Estimate: 18%.

Show full reasoning trace

base rate: Historical: 14.1% of quarters since reference period had YoY >3%. Annual probability of at least one quarter >3% historically ~45%, but this includes high-productivity eras.

evidence updates: Q4 2025 at 2.5% YoY and downward revisions push DOWN — current trend is sub-threshold. Recent 8-quarter average 2.21% suggests need for ~80bps acceleration. AI tailwinds and recession-driven labor shedding scenarios provide UP pressure but uncertain timing.

combination method: Maximum across 4 quarters with correlation adjustment. Quarters are highly correlated since YoY uses overlapping data and macro conditions persist. Reduced effective independence from 4 to ~2.5 quarters.

final: Combined probability ~36%, reflecting that we start from a sub-3% trend but have 4 chances and meaningful tail scenarios (AI breakout, recession-induced productivity spike, base effects, revisions).

ensemble: {'ensemble_count': 3, 'perspectives': {'base_rate': {'p_yes': 0.36, 'confidence': 0.45}, 'evidence_driven': {'p_yes': 0.4, 'confidence': 0.5}, 'contrarian': {'p_yes': 0.4, 'confidence': 0.45}}, 'spread': 0.04, 'individual_p_yes': {'base_rate': 0.36, 'evidence_driven': 0.4, 'contrarian': 0.4}}

5. Devil's Advocate Sonnet · legacy v2 Market price revealed

Reasoning Flaw Asymmetric Evidence

Challenges

Correlation adjustment may be too aggressive. YoY productivity uses overlapping 4-quarter windows, but a single strong quarter (e.g., big QoQ jump) can push YoY above 3% in only one specific quarter while leaving others below. The 'effective 2.5 quarters' assumption could be reducing the maximum probability too much. Consider whether your math actually yields 36% or if it should be higher (1-(1-0.17)^2.5 ≈ 37%, but with 4 quarters and partial correlation closer to 45-50%).
The base rate of 14.1% per quarter mixes high and low productivity eras. Conditional on the current 2.21% 8-quarter average, the relevant base rate for jumping to >3% may actually be LOWER than 14% historically — but you're applying ~17-18% (above base rate) to each quarter. There's a tension: either current trend matters (suggesting <14%) or it doesn't (suggesting 14%). Applying above-base-rate estimates while also citing sub-threshold trends as DOWN pressure may be inconsistent.
Q1 2026 BLS data releases May 7, 2026 — TWO DAYS after the research date. This is imminent hard information that will resolve sq1 almost immediately. The forecast doesn't account for the asymmetry: if Q1 prints >3%, the question resolves YES immediately; if it prints well below 3%, the remaining quarters need to do the work. Given Q4 2025 at 2.5% YoY and the downward revision, Q1 likely prints below 3%, but the forecaster should note this near-term resolution event.
Recession-induced productivity spikes are mentioned as upside but recessions typically take time to manifest in YoY data, and labor-shedding productivity spikes historically appear LATE in/after recessions. The probability mass placed on this scenario across 2026 quarters may be overstated unless a recession is already underway.
The 30-day market decline from 69% to 50% is significant directional signal that aligns with the forecaster's DOWN-leaning evidence. The forecast at 38.7% is somewhat below market but the trajectory suggests market is converging toward the forecaster's view, which is informational support — not a reason to adjust, but worth noting the forecast isn't an outlier in direction.

suggested adjustment

+3pp

Minor upward adjustment warranted because: (1) the correlation adjustment from 4 to 2.5 effective quarters may be overly aggressive given that single-quarter QoQ spikes can independently push individual quarter YoY above threshold, and (2) the per-quarter estimates of 16-18% combined with the correlation discount produce a result that may understate the maximum. Recomputing with looser correlation (effective 3 quarters at ~17%): 1-(0.83)^3 = 43%. The 38.7% forecast is defensible but slightly low.

Market comparison: Forecaster: 38.7%, Market: 50%. The 11.3-point divergence is moderate. The market has declined 19 points in 30 days, suggesting it is converging toward the forecaster's bearish view. The orderbook anomaly (matching $0.01 bids) reduces confidence in the exact 50% level. Divergence appears partially justified by the strong DOWN evidence (Q4 2025 revision, 2.21% trend), but the forecaster's correlation adjustment may be slightly overstated.

6. Aggregator Opus · final calibrated forecast

42% (45% confidence)

My independent estimate of 38.7% was anchored on a sub-threshold Q4 2025 YoY of 2.5% and an 8-quarter average of 2.21%, requiring ~80bps acceleration to clear 3% in any 2026 quarter. I PARTIALLY ACCEPT the critic's correlation challenge — collapsing 4 quarters to 2.5 effective is too aggressive given single-quarter QoQ spikes can independently lift one quarter's YoY, so I move to ~3 effective quarters yielding ~43%; I REJECT the base-rate inconsistency challenge since conditioning on current trend appropriately lowers per-quarter probabilities only modestly (AI/measurement-noise tails justify staying near 14-17%). The market at 50% is declining toward my view (down 19pts in 30 days) and has data-quality anomalies reducing its informational weight, so I land at 42% — above my original but below market, reflecting the imminent May 7 Q1 release that will likely print sub-3% and resolve sq1 down. The divergence from 50% is justified by the specific Q4 2025 downward revision and sub-trend trajectory.

7. Entry Decision Opus trader

Side

no

Position Size

$750

Contracts

1389

Trader Confidence

45%

Trade rationale

Edge is -8% (forecast 42% vs market 50%), pointing NO. The forecaster's confidence is moderate (0.45) and the Devil's Advocate flagged reasoning_flaw and asymmetric_evidence, suggesting a +0.03 adjustment which would narrow the edge to ~5%. The sub-question forecasts (16-18% per quarter) are internally consistent and the imminent May 7 Q1 BLS release is a near-term catalyst that likely prints sub-3%, supporting NO. However, the market has already moved 19pts toward our view, so further downside may be limited, and the 'any quarter' structure adds tail risk from a single surprise print.

Allocation logic

Sized below baseline at $750 due to moderate edge (~5-8% after critic adjustment), only 0.45 forecaster confidence, critic flags, and the disjunctive 'any quarter' structure that creates asymmetric tail risk against NO.

Entry price: $0.54

Current: $0.51

Status: OPEN

P&L: -$65.83