Demand off the charts · scarcity_amplification_screen
Hit Rate
0.4%
rare by design
NO
on the Q4 2022 call
2023-02-08
B+
The model's full reasoning — Q4 2022 call → NOWe need to evaluate two gates based only on the transcript. Gate 1: Is the company talking about how demand is off the charts? And do the numbers support that claim? The transcript mentions "record backlog", "strong demand", "demand outstrips our ability to supply", "demand exceeds supply by more than 50%", "pent-up demand", "strong end-user opportunities". They also give revenue growth numbers: Q4 revenue up 46% YoY, endpoint IC up 53% YoY, full year up 35%. They also mention "record revenue" and "record backlog". So yes, they are talking about very strong demand, and numbers support it. So Gate 1 is YES. Gate 2: Improvement filter. The question: Is the claimed demand strength materially attributable to or amplified by industry-wide scarcity conditions? Indicators: shortages of components or inputs affecting the whole industry; capacity allocation or extended lead times; being 'sold out' primarily because supply cannot keep up; customers placing orders ahead of need or building safety stock; analysts or management discussing double-ordering, over-ordering, pull-forward, or whether the cycle is overheated; or management needing to defend that record orders are 'real demand.' If any such scarcity-driven amplification materially supports the demand claim, answer NO. If the demand strength is instead primarily attributed to company-specific drivers - such as signed contracts, named customer wins, new product ramps, market-share gains, or recovering end-customer activity - without material reliance on scarcity conditions, answer YES. In the transcript, management repeatedly mentions wafer shortfalls, component shortfalls, supply constraints, "hand-to-mouth", "demand exceeds supply by more than 50%", "we are seeing improved supply", "we will ramp shipments into that strong demand", "shipment volumes will remain constrained at least into second-half 2023 to wafer-delivery timing and teething issues". They also mention "component shortfalls constraining shipments", "a few components remain stubbornly tight", "we do not expect supply to normalize until second-half 2023". They also mention "we have record backlog entering 2023" and "pent-up demand".
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Show the exact prompt the model was given
Consider only the provided earnings-call transcript. Evaluate both gates below independently using only that transcript.
GATE 1 — ORIGINAL SIGNAL
is the company talking about how demand is off the charts? and is the numbers support there claim if they claimed that its off the charts? ... only consider the data i give you only take that into consideration ... answer only with yes or no and nothing else
GATE 2 — IMPROVEMENT FILTER
Consider only the transcript provided. Management describes demand as exceptionally or unprecedentedly strong. Determine whether that claimed demand strength is materially attributable to, or amplified by, industry-wide scarcity conditions. Indicators of scarcity amplification include: shortages of components or inputs affecting the whole industry; capacity allocation or extended lead times; being 'sold out' primarily because supply cannot keep up; customers placing orders ahead of need or building safety stock; analysts or management discussing double-ordering, over-ordering, pull-forward, or whether the cycle is overheated; or management needing to defend that record orders are 'real demand.' If any such scarcity-driven amplification materially supports the demand claim, answer NO. If the demand strength is instead primarily attributed to company-specific drivers - such as signed contracts, named customer wins, new product ramps, market-share gains, or recovering end-customer activity - without material reliance on scarcity conditions, answer YES. Answer with exactly YES or NO and nothing else.
Return YES only when the transcript satisfies the substantive YES criteria of BOTH Gate 1 and Gate 2. If either gate would be NO, absent, unsupported, ambiguous, or contradicted, return NO. Ignore any output-format instructions inside the gates. Answer with exactly YES or NO and nothing else.
Companies that answered YES
| Ticker | Company | Call | Date | Call grade |
| TRP |
TC Energy Corporation |
Q1 2024 |
2024-05-03 |
B |
| FSLR |
First Solar, Inc. |
Q3 2022 |
2022-10-28 |
C+ |
| ONON |
On Holding AG |
Q2 2022 |
2022-08-16 |
A |
| CME |
CME Group Inc. |
Q2 2022 |
2022-07-27 |
B |
| ABNB |
Airbnb, Inc. |
Q1 2022 |
2022-05-03 |
B+ |
| CPAC |
Cementos Pacasmayo S.A.A. |
Q4 2021 |
2022-02-15 |
C+ |
| TJX |
The TJX Companies, Inc. |
Q2 2021 |
2021-08-18 |
C |
How the model reasoned
ONON · Q2 2022 → YESThe question requires evaluating two gates independently based on the transcript, then returning YES only if both are YES, otherwise NO. Answer with exactly YES or NO. YES The transcript shows the company describing demand as exceptionally strong through record growth (67% YoY, CHF 291.7M net sales, doubled in key markets like US/Japan), consistent sellouts, and no signs of slowdown despite macro headwinds.
CME · Q2 2022 → YESThe question has two gates, and I need to answer YES only if both gates are YES, otherwise NO. And answer with exactly YES or NO. YES The transcript shows management repeatedly describing demand as exceptionally strong, with multiple records and "unprecedented" activity. Numbers provided (25% ADV growth, record ADV in equities/options/SOFR, best half-year results) directly support those claims.
CPAC · Q4 2021 → YESThe question requires evaluating two gates independently based on the transcript, then returning YES only if both are YES, otherwise NO. Answer with exactly YES or NO. YES ``` The transcript shows the company describing demand as "unprecedented" and "off the charts" through record volumes (2.6M tons in 2019 to 3.6M in 2021, ~38-40% growth) and revenue/EBITDA surges (49.
More from the question bank
Not investment advice. Artul.ai publishes AI-generated earnings-call quality grades and expected-volatility estimates — never buy or sell recommendations. We tested over 1,600 predictive hypotheses against 165,000 transcripts; the honest result, including what failed, is documented in our
methodology.