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The research library

Every study below is computed from the same corpus: 165,000+ earnings-call transcripts our AI read and scored with an identical battery of questions, joined to a 22,449-call sample of 12-month market outcomes. We publish what the data shows — including when the answer is "no edge."

Flagship study

Your AI Backtest Is Lying to You: What 1,600 Failed Hypotheses Taught Us

One signal survived every control ever devised — then lost 12.4% to SPY in a real forward test. The autopsy: language models remember what happened to stocks, and that memory contaminates every AI backtest on public companies.

How we grade 165,000 earnings calls — and why we don't publish buy/sell

The methodology behind every page on this site: the 37-question battery, the A–F grade, the expected-move model, and the honest story of 1,600 tested hypotheses.

Flagship Study

Your AI Backtest Is Lying to You: What 1,600 Failed Hypotheses Taught Us
We had an AI read 165,000 earnings calls and tested 1,600 trading hypotheses against 12-month returns. One survived every control ever devised, then lost 12.4% against SPY in a real forward test. The autopsy found someth…

Call Signals

Ammunition, Not Smoke: Inside the Calls Where Critics Load Up
This study examines earnings calls where the model flagged the battery item "Critic Ammunition" with a YES, covering 145,051 of 165,182 calls (87.8%, 95% CI 87.7%–88.0%) across 1990–2026. Flagged calls skew slightly towa…
Know What You Know: Calls Where Confidence Matched the Evidence
This study examines earnings calls where a language model answered YES to the battery item 'Confidence Proportionate to Evidence'. Of 165,182 calls scored from 1990 to 2026, 144,714 (87.6%, 95% CI 87.4% to 87.8%) met tha…
The Question Left Hanging, Fewer and Farther Between: A Study of Calls That Resolve Doubts
This study examines earnings calls where the model answered YES to the battery item "Calls That Resolve Doubts" across a corpus spanning 1990 to 2026. Of 165,182 calls, 131,335 (79.51%) met the definition. These calls sh…
The Guidance Was Fine All Along: What Model-Endorsed Calls Look Like
We examine 165,182 earnings-call transcripts from 1990 through 2026 and isolate the 118,164 calls (71.5%, 95% CI 71.3% to 71.8%) where the model answered YES to the battery item 'Guidance Worth Underwriting'. These calls…
Talking the Skeptic Down: 66% of Calls Leave the Doubter Reassured
Artul.ai's model scored 165,182 earnings calls from 1990 to 2026 on a battery of items, including whether the analyst-skeptic voice ended up reassured. In 109,699 calls (66.41%, 95% CI 66.18%–66.64%) the model answered Y…
The Admission Is Not the Confession: Calls Flagged as 'Results Worse Than Direction'
This study examines 84,487 earnings calls (out of 165,182, or 51.15%) where the model answered YES to the battery item 'Results Worse Than Direction', across a 1990–2026 corpus. Flagged calls show lower candor (6.86 vs 6…
The Question Left Hanging: 79,206 Calls That End on an Unresolved Note
We study 79,206 earnings calls (48.0% of a 165,182-call corpus spanning 1990-2026) where the model answered YES to the battery item 'The Question Left Hanging' — calls that end with a live, unresolved issue. Compared wit…
If You Build It and They Don't Come: The Underused Fixed Costs Signal
We ask what management teams reveal when they admit their fixed costs are underused. Using a model-scored battery across 165,182 earnings-call transcripts from 1990 to 2026, we isolate the 68,779 calls (41.6%) where the …
Everything Is Fine: Calls That Read Rehearsed
This study examines earnings calls that the model flagged as reading rehearsed, using a corpus of 165,182 calls from 1990 to 2026, of which 38.64% met the flag (95% CI 38.41%-38.88%). Rehearsed-flagged calls score lower …
Build It and They Will Say It's Growing: 'Early Products Growing Fast' on Earnings Calls
This study examines 63,629 earnings calls from 1990 to 2026 in which an AI model answered YES to the battery item "Early Products Growing Fast" — 38.5% of the 165,182-call corpus (95% CI 38.3%–38.8%). These calls skew pr…
A Drop in the Bucket: Calls That Claim a Tiny Slice of a Big Market
We studied earnings calls where the model answered YES to the battery item "A Tiny Fraction of the Market" — 49,623 of 165,182 calls (30.04%) across 1990–2026. These calls skew promotional: promotion scores 5.83 versus a…
Crank It to Eleven: Calls Where the Model Expects a Volume Step-Up
This study examines 47,036 earnings calls from a 165,182-call corpus (1990-2026) in which a language model answered YES to the battery item "Volume About to Step Up" - 28.5% of all calls (95% CI 28.3%-28.7%). Compared wi…
Where Have All the Roll-Ups Gone? Consolidation Talk Fades From Calls
What does it mean when management starts talking about industry consolidation? This study flags every call in the corpus (1990-2026) where the model answered yes to "Consolidation Among Peers": 42,662 of 165,182 calls, a…
Pricing Power to the People: A Profile of 'Pricing Recovering' Calls
We examine 35,541 earnings calls from a corpus of 165,182 spanning 1990 to 2026 in which the model answered YES to the battery item 'Pricing Recovering'. These calls skew candid and specific: candor 7.01 vs 6.86, specifi…
Every Call Hides Something: A Study of 'The Hidden Segment' Answers
This study profiles 34,917 earnings calls out of 165,182 in the Artul.ai corpus (21.14%) where the model answered YES to the battery item 'The Hidden Segment', covering calls from 1990 to 2026. Compared with the base pop…
The Founder Is in the Room: Language Profiles of Founder-Led Earnings Calls
This study examines 33,092 earnings calls (out of 165,182 from 1990-2026) where the model answered YES to the battery item "Founder-Led Companies." Founder-led calls score higher on promotion (+0.61) and confidence (+0.1…
Speak Softly and Carry the Spreadsheet: CFO-Dominated Calls
We examined 23,336 earnings calls (14.1% of a 165,182-call corpus spanning 1990-2026) where the model answered YES to the battery item "When the CFO Dominates." These calls skew toward specifics: specificity runs 7.71 vs…
Big Claims, Thin Results: Scale-Dependent Advantage Talk on Earnings Calls
This study examines 18,297 earnings calls (11.1% of a 165,182-call corpus spanning 1990 to 2026) where a model flagged claims that a company's advantages depend on operating at scale. These calls differ sharply in tone: …
Show Me the Money, Up Front: Earnings Calls Where Deferred Revenue Is Growing
This study examines 14,649 earnings calls (8.87% of a 165,182-call corpus spanning 1990-2026) where the model answered YES to the battery item "Deferred Revenue Growing." Calls in this group show a more promotional and c…
The Story That Ends Too Neatly: A Study of 'The Finished-Story Tell' on Earnings Calls
We examined 7,247 earnings calls (4.39% of a 165,182-call corpus spanning 1990-2026) where Artul.ai's model answered YES to the battery item 'The Finished-Story Tell' — calls whose narrative wraps up with suspicious poli…

Business Verdicts

Steady As She Goes: What Happens When Guidance Holds The Line
This study examines 80,591 earnings calls out of a 165,182-call corpus spanning 1990-2026 where guidance was read as maintained - 48.79% of all calls (95% CI 48.55%-49.03%). Maintained-guidance calls show modestly better…
Margins Are Expanding, and So Is the Confidence: Reading 44% of Calls
We examine 73,217 earnings calls from a 165,182-call corpus spanning 1990-2026 where the margins signal was read as expanding, a 44.3% share (95% CI 44.1%-44.6%). Speakers on these calls score higher on confidence (7.57 …
Capex Up, Stress Down: Reading 64,183 Calls Where Spend Was on the Rise
This study profiles earnings calls where capex was read as increasing, drawing on 64,183 calls (38.86% of a 165,182-call corpus spanning 1990-2026). Calls with rising capex read as more confident (7.45 vs. 7.21), more pr…
Guidance Is a Vibe: Calls Where Demand Reads as Accelerating
This study examines 58,672 earnings calls—35.5% of a 165,182-call corpus spanning 1990 to 2026—where demand was read as accelerating. These calls show a distinct behavioral profile: confidence runs 7.76 versus a 7.21 bas…
Backlog Is Growing, and So Is the Confidence: Earnings Call Signals, Measured
Across 165,182 earnings calls from 1990 to 2026, we identify the 57,249 calls (34.66%, 95% CI 34.43%-34.89%) where backlog was read as growing. Compared with the base population, these calls score higher on confidence (7…
Margins Are Fine, Thanks for Asking: What Contraction Talk Sounds Like
We analyzed 55,774 earnings calls—33.8% of the 165,182-call corpus (1990-2026)—where margins were read as contracting. These calls carry a distinct vocal and verbal signature: confidence runs 6.71 versus 7.21 on the base…
Show Me the Money (Ask): Calls Where Pricing Read as Raising
We examine earnings calls where pricing language was read as raising, drawing on 165,182 calls from 1990 to 2026, of which 49,574 (30.0%, 95% CI 29.8% to 30.2%) qualify. These calls show higher confidence (7.46 vs 7.21),…
Hiring Spree on the Line: What Growing Headcount Sounds Like on Calls
We analyzed 165,182 earnings-call transcripts from 1990 to 2026 and isolated the 44,091 calls (26.7%) where headcount was read as growing. These calls carry a distinct vocal and verbal signature: promotion language runs …
The Air Goes Out of the Room: Calls Where Pricing Reads as Under Pressure
We examined 41,241 earnings calls — 25.0% of a 165,182-call corpus spanning 1990 to 2026 — in which AI-assisted reads of the transcript flagged pricing as under pressure. On the language profile, these calls show lower c…
Raise It and They Will Come: Anatomy of the Earnings-Call Guidance Raise
This study examines earnings calls where guidance was read as raised, drawing on 165,182 calls from 1990 to 2026. Raised-guidance calls account for 21.05% of the corpus (95% CI 20.86%-21.25%). These calls show a distinct…
Trimming the Fat, Loudly: Headcount Cuts on Earnings Calls
This study examines 28,971 earnings calls where headcount was read as cutting, drawn from a 165,182-call corpus spanning 1990 to 2026. These calls make up 17.5% of the corpus (95% CI 17.4% to 17.7%). Management tone shif…
Cutting the Future: What Happens When Capex Goes Down on Calls
This study examines 23,150 earnings calls (14.0% of a 165,182-call corpus spanning 1990-2026) where capex was read as decreasing. Compared with the rest of the corpus, these calls show lower confidence (6.71 vs 7.21), le…
Read the Room, Lower the Bar: What Happens After Guidance Gets Cut
We studied 19,087 earnings calls where guidance was read as lowered, drawn from 165,182 calls spanning 1990 to 2026. Such cuts make up 11.56% of the corpus (95% CI 11.40% to 11.71%). Compared with other calls, these show…
Answering the Slowdown Before It Arrives: A Study of Slowing-Demand Calls
This study examines 15,797 earnings calls—9.56% of a 165,182-call corpus spanning 1990 to 2026—where demand was read as slowing. Management behavior shifts noticeably on these calls: stress language runs 3.53 versus a 2.…
The Order Book Is Fine, Thank You for Asking: Calls Where Backlog Reads as Shrinking
This study examines 7,699 earnings calls (4.7% of a 165,182-call corpus spanning 1990 to 2026) where backlog was read as shrinking. These calls sound measurably different: stress runs 3.07 versus a 2.43 baseline, while c…
The Guidance Goes Quiet: Language and Outcomes of Withdrawal Calls
This study examines 4,393 earnings calls where guidance was read as withdrawn — about 2.7% of a 165,182-call corpus spanning 1990 to 2026. On these calls, management language shifts in a consistent direction: stress runs…

Management Behavior

97.97% of 161,829 earnings calls score high on specificity - so what does it buy?
This study examines earnings calls that score 6 or higher on a 0-9 specificity meter, drawn from 165,182 calls spanning 1990 to 2026. Of these, 161,829 calls (97.97%, 95% CI 97.90%-98.04%) meet the threshold, indicating …
96.2% of earnings calls score candid - yet median 1-day return is -0.07%
This study profiles earnings calls that score 6 or higher on a 0-9 candor meter, drawing on 158,979 qualifying calls out of a 165,182-call corpus spanning 1990 to 2026. High-candor calls show modestly elevated language p…
95.5% of earnings calls since 1990 clear the 6-point confidence bar - why so few don't
This study asks how common it is for earnings calls to score 6 or higher on Artul.ai's 0-9 confidence meter, and how those high-confidence calls differ from the rest. Across 165,182 calls from 1990 to 2026, 157,716 (95.5…
Straight Talk, Stress Less: Low-Evasion Earnings Calls, 1990–2026
We examined 86,188 earnings calls—52.2% of a 165,182-call corpus spanning 1990 to 2026—that scored 2 or lower on a 0–9 evasion meter. These candid calls ran higher on candor (7.12 vs 6.86), specificity (7.85 vs 7.56), an…
39% of earnings calls trip the complexity meter - and they raise guidance less often
This study examines earnings calls scoring 6 or higher on a 0-9 language complexity meter. Of 165,182 calls from 1990-2026, 64,523 (39.06%, 95% CI 38.83%-39.30%) qualify. High-complexity calls show +0.34 higher evasion a…
37.3% of earnings calls score as promotional - and 26.1% raised guidance
This study examines which earnings calls read as promotional, defined as calls scoring 6 or higher on a 0-9 promotion meter. Of 165,182 calls from 1990 to 2026, 61,671 (37.3%, 95% CI 37.1%-37.6%) meet the threshold. Prom…
Only 11.3% of earnings calls score high on uncertainty - and just 4.6% raise guidance
This study examines 18,704 earnings calls (11.3% of a 165,182-call corpus spanning 1990-2026) that scored 6 or higher on a 0-9 uncertainty meter. High-uncertainty calls show sharply different behavioral profiles: stress …
The Question Left Hanging: A Profile of High-Evasion Earnings Calls
This study examines earnings calls scoring 6 or higher on a 0-9 evasion meter, identifying 3,661 such calls among 165,182 transcripts spanning 1990-2026 (2.2%, 95% CI 2.1%-2.3%). High-evasion calls average 6.23 on the ev…
Only 1.75% of 165,182 earnings calls show high stress - and 32.5% of them lowered guidance
This study examines 2,893 earnings calls from a 165,182-call corpus spanning 1990-2026 that score 6 or higher on a 0-9 stress meter. High-stress calls are rare (1.75% of the corpus, 95% CI 1.69%-1.82%) and linguistically…
Only 861 of 165,182 earnings calls score under 3 on complexity - why they stand out
This study examines a rare slice of earnings-call language: calls scoring 2 or lower on Artul.ai's 0-9 complexity meter. Among 165,182 calls from 1990-2026, only 861 (0.52%, 95% CI 0.49%-0.56%) qualify. Compared with the…
Only 431 of 165,182 earnings calls score this low on specificity
We examined 165,182 earnings calls from 1990-2026 to study a rare group: 431 calls (0.26%, 95% CI 0.24%-0.29%) scoring 2 or lower on a 0-9 specificity meter. These calls run far below corpus baselines on every measured t…
Only 92 of 165,182 earnings calls scored 2 or lower on candor — what they share
This study profiles the rarest tail of Artul.ai's candor meter: earnings calls scoring 2 or lower on the 0–9 scale. Of 165,182 calls spanning 1990 to 2026, just 92 qualify — about 0.056% of the corpus (95% CI roughly 0.0…

20-Year Trends

87.8% of earnings calls contain critic ammunition - and raised guidance is rarer there
This study examines earnings calls where an AI model answered YES to the question of whether the call contains material usable by critics, across 145,051 calls from a corpus spanning 1990 to 2026 (87.8% of 165,182 calls,…
66.4% of earnings calls left the model's skeptic reassured - here's what else was true
This study examines 109,699 earnings calls (of 165,182 total) where the model answered YES to 'Skeptic Reassured', spanning corpus years 1990 to 2026. Reassured-skeptic calls show higher candor (7.03 vs 6.86), higher spe…
When a Call Ends With a Question Left Hanging: 47.95% of 165,182 Earnings Calls Qualify
This study examines 165,182 earnings calls from 1990 to 2026 and asks a simple question: in how many did the model answer YES to "The Question Left Hanging" -- the sense that the call ended with something unresolved. The…
38.6% of 165,182 earnings calls read rehearsed to our model, and the share keeps climbing
We asked a simple question across 165,182 earnings calls from 1990 to 2026: in how many calls did a language model answer YES to the prompt "Calls That Read Rehearsed"? The answer: 63,830 calls, or 38.6% (95% CI 38.4%–38…
When the model flags 'Volume About to Step Up' on 28.5% of calls, returns still trail
This study examines 47,036 earnings calls (out of 165,182, or 28.5%) where Artul.ai's model answered YES to "Volume About to Step Up," spanning 1990-2026. Flagged calls showed a notable behavioral profile: promotion lang…
Founder-led calls: 20.0% of the corpus, but only 41.1% beat — why the gap?
This study examines 33,092 earnings calls where Artul.ai's model answered YES to 'Founder-Led Companies', drawn from a base of 165,182 calls spanning 1990 to 2026. Founder-led calls represent 20.03% of the corpus. Their …
When the CFO Dominates: 14.1% of 165,182 Calls, With Raised Guidance in 21.1%
This study examines earnings calls where the model answered YES to "When the CFO Dominates," tracked across a 1990-2026 corpus of 165,182 calls. The pattern appears in 23,336 calls, or 14.1% of the corpus (95% CI 14.0%-1…
14,649 calls flagged 'Deferred Revenue Growing' raised guidance 33% vs 21% baseline
This study examines 14,649 earnings calls (out of 165,182) where Artul.ai's model answered YES to "Deferred Revenue Growing," spanning corpus years 1990 to 2026. These calls show a distinct communication profile: promoti…

Signal Combinations

Small Base, Fast Growth, Huge Market: When Two Signals Appear Together
When a company pairs a small revenue base with fast growth in a huge addressable market, the combination leaves a distinctive fingerprint on the call. Among 165,182 earnings-call transcripts read by an AI, 35,112 calls —…
When Skeptics Back Down and Guidance Rises: 31,112 Calls, Only 42% Beat
This study profiles earnings calls where Artul.ai's model answered YES to "Skeptic Reassured" AND guidance was read as raised — 31,112 of 165,182 calls (18.83%, 95% CI 18.65%–19.02%) spanning 1990–2026. These calls show …
Founder-led calls with high candor: 18.5% of 165,182, but median return -8.2%
This study examines 165,182 earnings calls from 1990 to 2026 where an AI model was asked whether a company is founder-led, and where candor scored 6/9 or higher. This subset covers 18.5% of calls (CI 18.3%-18.7%). Founde…
Backlog Building Into a Volume Step-Up: When Two Signals Appear Together
When a company reports growing backlog and simultaneously describes an upcoming step-up in volume, management is essentially telling you that demand is arriving ahead of capacity. Among the 165,182 earnings-call transcri…
Founder-led calls with 6/9+ promotion scores: 27.1% raised guidance, 18,659 calls studied
This study examines 18,659 earnings calls (11.3% of a 165,182-call corpus spanning 1990-2026) where the model answered YES to 'Founder-Led Companies' and promotion language scored 6/9 or higher. These calls show elevated…
CFO Front and Center While Margins Fall: When Two Signals Appear Together
When a company's margins are falling and its CFO takes an unusually prominent role on the earnings call, that combination marks out a distinct slice of disclosure behavior. Among 165,182 transcripts read by an AI, 9,192 …
Dodged and Left Hanging: When Two Signals Appear Together
Some earnings calls combine two red flags: executives dodge a question, and the analyst who asked it never gets a real answer. Across 165,182 earnings-call transcripts read by an AI, 3,629 calls — about 2.2% — show this …
The C1 Pattern: Clean Calls With Growing Prepayments: When Two Signals Appear Together
When an AI read 165,182 earnings-call transcripts and scored each on a battery of questions, it found 2,343 calls — about 1.4% of the corpus — where two signals appeared together: clean, candid language and growing custo…
Only 0.4% of earnings calls show high evasion and high stress - here's how they read
This study examines the 657 calls (0.4% of a 165,182-call corpus spanning 1990-2026) where both evasion and stress scored 6/9 or higher. These calls differ sharply from the rest of the corpus: confidence averages 5.5 ver…
Rehearsed and Vague: When Two Signals Appear Together
When an executive leans on rehearsed talking points while staying vague on substance, the combination is easy to miss in real time but stands out when measured at scale. Across 165,182 earnings-call transcripts read by a…

Hypotheses Tested

Hypothesis Tested: Identified near-term contributors not yet in the reported numbers
When a management team names a growth driver that has not yet shown up in reported results, listeners are being asked to underwrite the future rather than the present. This study tests that pattern: calls where the AI id…
Hypothesis Tested: Uncontested runway
Some companies spend their earnings calls describing a growth runway that nobody on the Q&A line contests — analysts don't push back, and management doesn't hedge. This study, "Uncontested runway," tests that hypothesis …
Hypothesis Tested: Coming out of the tunnel
Some companies spend a stretch of calls describing a downturn, then at some point start talking as if they have come out the other side. This study tests that pattern: an AI read 165,000 earnings-call transcripts and fla…
Hypothesis Tested: Answers go deeper than the script
When an executive stops reading the script and actually answers the question, does the call get better? To find out, we had an AI read 144,500 earnings-call transcripts from the 165,000-call corpus and score each one on …
Hypothesis Tested: Repeat expansion inside the base while new logos still arrive
When a company keeps expanding within its existing customer base while still landing new logos, that dual growth story shows up on earnings calls. Among 165,000 transcripts read by an AI, 186 calls matched this pattern o…
Hypothesis Tested: Earned edge, pressed harder
Some companies claim an edge they've earned — a durable advantage they can point to — and this study asks what happens when management presses that claim harder on the call. Among 485 calls in our 165,000-transcript corp…
Hypothesis Tested: Second demand front open and funded
When a company announces that a second demand front has opened and been funded — new customers or products beyond the core, backed by real investment — how does that show up on the call? We tested this hypothesis against…
Hypothesis Tested: This quarter could not have been described last quarter
Some earnings-call disclosures are genuinely new: the company says something this quarter that could not have been said last quarter, because the facts did not exist yet. This study isolates 142 such calls out of 318 fla…
Hypothesis Tested: Q&A has flipped from problems to possibilities, and management answers
When analysts ask about new products, untapped markets, or upcoming volume steps, management often answers with possibility rather than problems. This study tests that pattern across Artul.ai's corpus of 165,000 AI-read …
Hypothesis Tested: Existing customers are pulling more from the company than they were or
When an AI analyst read 165,000 earnings-call transcripts and asked whether existing customers are pulling more from the company than before, 126 calls out of a 438-call base matched the pattern — about 28.8%. That quest…
Hypothesis Tested: Front, middle, and back of the business all improving at once, in mana
When a management team reports that the front, middle, and back of the business are all improving at once — demand, operations, and financials moving together — it sounds like the strongest kind of earnings-call story. T…
Hypothesis Tested: Paid to expand
When a CFO takes center stage on an earnings call, the message is usually "we're spending to expand" — and it shows in the numbers. Across a corpus of 165,000 AI-read transcripts, 123 calls fit this "paid to expand" patt…
Hypothesis Tested: External validators converging
When multiple outside references converge on the same claim in an earnings call — analysts citing the same third-party data, or management pointing to the same industry sources — that's a pattern worth testing. Among 497…
Hypothesis Tested: Tone of discovery
Some earnings calls are organized around a discovery: management announces something it just learned — pricing is recovering, an early product is scaling faster than expected — and the rest of the call is built on that r…
Hypothesis Tested: Still getting better as they speak
Some executives warm up as the call goes on: their answers get more confident and more specific in the second half than the first. This study isolates that pattern — 106 calls out of 487 flagged by Artul.ai's AI reader, …
Hypothesis Tested: Engine explained, runway named
When a company explains why a metric moved and names the runway ahead, calls read differently: more candor, more specificity, less stress. This study tests that pattern across 165,000 earnings-call transcripts read by an…
Hypothesis Tested: Strong facts, held-back story
Some executives load their calls with hard specifics while keeping the narrative quiet — strong facts, held-back story. We tested this pattern across 165,000 earnings-call transcripts read by an AI, isolating 101 calls t…
Hypothesis Tested: Proven engine, fuel already in the tank
Some companies spend their calls describing a proven engine with fuel already in the tank: an established product line plus a large, mostly untapped market. We asked an AI the same battery of questions across 165,000 ear…
Hypothesis Tested: Substance without an audience
Some earnings calls deliver real substance — specific numbers, candid discussion, concrete guidance — but almost nobody seems to be listening: low analyst engagement, thin coverage, no audience. This study isolates that …
Hypothesis Tested: Fresh change already executed, benefit mostly still ahead
Some executives announce a change they have already made — a restructuring completed, a new product shipped, a cost program executed — and then frame the payoff as mostly still to come. This study tests that pattern acro…
Hypothesis Tested: Winning business away from competitors, with a stated reason why
When a management team says it is taking business away from competitors and names a reason why, that is a specific, checkable claim — and it is rarer than you might think. Out of 165,000 earnings-call transcripts read by…
Hypothesis Tested: The feared thing keeps not happening
On earnings calls, management often names a fear — a churn risk, a cost headwind, a regulatory question — and then, quarter after quarter, the feared thing keeps not happening. We tested this pattern across 165,000 AI-re…
Hypothesis Tested: Secure base, several live doors
Some companies face pressure from multiple directions at once yet keep answering from a position of security — candid about problems, specific about numbers, and clearly working several live strategic doors rather than o…
Hypothesis Tested: Running the company for a size the numbers don't show yet
Some companies talk about a scale they haven't reached yet — describing operations, capacity, or ambitions sized for a much bigger business than current numbers show. Among 497 earnings calls flagged for this pattern, 88…
Hypothesis Tested: Two-sided intensity
Some earnings calls read like a seesaw: strong promotion and confidence on one side, with candor and specificity on the other. This study tests whether that two-sided intensity pattern means anything. Out of 165,000 tran…
Hypothesis Tested: More where that came from
Some earnings calls leave investors expecting a follow-up — a pattern our library tags "More where that came from." An AI read 165,000 earnings-call transcripts and scored each one on the same battery of questions, letti…
Hypothesis Tested: Leaning into the storm
Some management teams respond to a bad quarter by confronting it head-on: naming the problems, quantifying the damage, and taking questions squarely. We tested whether that "leaning into the storm" posture shows up measu…
Hypothesis Tested: Acted like it's already bigger
Some executives talk as if the company is already much larger than it is — describing capacity, addressable markets, and volume as if scale were in hand rather than ahead. We tested that hypothesis on 165,000 AI-read ear…
Hypothesis Tested: Compounding evidence
Some earnings calls don't just show one good sign — they stack several at once: fast-growing early products, tiny market share, founder leadership, and volume about to step up. This study tests whether that compounding o…
Hypothesis Tested: Senior hire recruited
When a company announces a senior hire recruited from outside during an earnings call, it often signals a strategic pivot — a new growth push, a turnaround, or a bet on a capability the firm lacks. This study asks what e…
Hypothesis Tested: Demand has broadened across independent fronts
When a company says demand has broadened across independent fronts, it is claiming growth is no longer riding on one product, region, or customer group. That claim is easy to make and hard to verify, so it is worth knowi…
Hypothesis Tested: Candid stewardship of one big open question
Some management teams handle earnings calls by leaving one big question visibly unresolved while staying candid about everything else — acknowledging the open issue, quantifying what they can, and refusing to paper over …
Hypothesis Tested: Demand off the charts
When management teams describe demand as "off the charts" — signaling surging orders, capacity constraints, or backlog growth — what does that actually look like on the call? Our AI read 165,000 earnings-call transcripts…
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.