Larger firms report the highest AI use. In the Census Bureau's review of Business Trends and Outlook Survey data collected from December 2025 to May 2026, “37% of firms with at least 250 employees reported using AI in their business operations,” while overall usage “hovered between 17% and 20%” (U.S. Census Bureau, “Large Firms With at Least 20 Employees Biggest AI Users,” May 2026). New tools do not remove the older ways research goes wrong. Here are five, with a documented case from a company's own filing.
The Slow Research Cycle
Research that arrives after the decision has been taken cannot inform it. In fast-moving markets, the question that made the research necessary may also have shifted by the time the findings arrive.
Hypothetically: a company exploring a new category commissions a study in January, a competitor launches in March, and by April the question is no longer "should we enter?" but "can we take share from an established player?", which needs different data.
Where AI Research Helps
VIDANALYTICA's Market Intelligence Brief ($99) and Competitive Analysis ($149) are delivered in 48–72 hours, with a rush delivery upgrade offered at checkout. A strategy team can order one about a week before a board meeting or investor briefing, so the market context is assembled close to the meeting rather than long before it.
Confirmation Bias Built Into the Brief
Research that sets out to confirm a decision already made is closer to documentation than to research. A product team that has committed to a launch asks not "should we launch?" but "what messaging should we use for the launch we've already decided on?" Few teams want to commission research that could end their own project.
Richards J. Heuer Jr.'s Psychology of Intelligence Analysis, an analytic-methods text, states that “We tend to perceive what we expect to perceive,” and that intuitive analysis “generally concentrates on confirming a hypothesis and commonly accords more weight to evidence supporting a hypothesis than to evidence that weakens it.” His remedy is to adopt “the conceptual strategy of seeking to refute rather than confirm hypotheses” (Heuer, CIA Center for the Study of Intelligence, 1999, chapters 2 and 4).
Biased Brief Example
"Identify consumer segments most receptive to our new premium packaging redesign."
Presupposes the redesign is proceeding. Eliminates the question of whether the redesign is strategically correct.
Neutral Brief Example
"Analyse consumer response to packaging changes in the premium snack segment over the last 24 months, including failures."
Opens the question. Our intelligence divisions pull both positive and negative case studies neutrally.
An AI research pipeline has no client relationship to protect, but it still answers the question it is given, so a biased brief still produces biased research. Framed neutrally, the brief lets NOVA gather negative market signals, failed competitor launches, and analyst downgrades alongside the supportive evidence.
Siloed Research That Never Gets Connected
A large company might commission five separate studies in one quarter (competitive, segmentation, pricing, technology and regulatory), each delivered to a different team. If no one reads all five, a product manager could launch into a region where the regulatory team already knows a restriction is coming, or a pricing team could cut price where the consumer research shows price is not the purchase driver.
SAGE's Cross-Synthesis Capability
VIDANALYTICA's SAGE Strategic Synthesis Division synthesises the sources gathered for each brief — competitive data, regulatory filings, financial disclosures, consumer signals, and technology assessments — into a single report, so the connections between them are drawn in one place.
Defining the Competitive Set Too Narrowly
A competitor brief scoped to familiar peers will only report on familiar peers. Large incumbents' own annual reports show how wide the set can be. Marriott International says it encounters strong competition not only from hotel chains and independent properties but from “online platforms, including Airbnb and Vrbo, that allow travelers to book short-term rentals of homes and apartments as an alternative to hotel rooms” (Marriott International, Form 10-K for fiscal 2025, Item 1, “Competition”). JPMorganChase lists among its competitors “e-commerce and other internet-based companies, digital asset and other financial technology companies” (JPMorganChase, Form 10-K for fiscal 2025, Item 1, “Competition”).
A hotel or banking brief that benchmarked only traditional peers would be narrower than the competitive set these companies disclose themselves. If an entrant is not in the brief's scope, it does not appear in the report.
The fix is a wider brief that puts adjacent and emerging entrants in scope, using public signals such as funding announcements, patent filings, academic research, job postings and product launches. Our guide to competitive intelligence from public sources covers what can lawfully be collected.
| Signal Type | Named-Competitor Brief | Wider Brief (Entrants in Scope) |
|---|---|---|
| Named competitors | Covered | Covered |
| New-entrant funding rounds | Not included | In scope |
| New-entrant patent filings | Not included | In scope |
| New-entrant job postings | Not included | In scope |
| Academic research pipeline | Not included | In scope |
| Regulatory pre-filings | Partial | In scope |
Treating Research as a One-Time Event
Research commissioned for a single decision (a launch, a market entry, an acquisition) becomes a project with a delivery date, after which the market is treated as "understood." Markets do not keep to project schedules, and a dynamic that did not exist at commissioning can dominate by the time the report is read.
The alternative is a cadence: the same focused questions, re-asked at intervals. A Competitive Analysis ordered each quarter gives a regular review rhythm without adding headcount. It is a point-in-time report, not a monitoring system with continuous alerts.
A Documented Case
When Model Estimates Misread a Market
Zillow Group's annual report for 2021 documents a case where model-based price estimates and the market diverged at scale. In its risk factors, the company described how its Zillow Offers business priced homes:
“We underwrite and price the homes we buy and sell through Zillow Offers using in-person evaluations and data science and proprietary algorithms based on a number of factors, including our knowledge of the real estate markets in which Zillow Offers operates.”
In its management's discussion and analysis, the same filing reports:
“For the year ended December 31, 2021, we recorded a write-down to inventory totaling $407.9 million with a corresponding increase to cost of revenue as a result of unintentionally purchasing homes at higher prices than the Company’s current estimates of the future selling prices after selling costs.”
The filing says the board's decision to wind down Zillow Offers “was made in light of home pricing unpredictability, capacity constraints and other operational challenges,” and warns that its pricing model “may not account for submarket nuances – for example, the location of a home on a hill or in a building” (Zillow Group, Form 10-K for fiscal 2021, Items 1A and 7).
The company names several causes, not one. The lesson for a research buyer is narrower, and it connects mistakes 1 and 5: a model's estimate of a market rests on assumptions, and it needs re-testing against current data as conditions change. That applies to AI research reports too, which is why each VIDANALYTICA report cites its sources inline, so the reader can check what an estimate rests on.
Where AI-Assisted Desk Research Fits, and Where It Does Not
Among firms that had adopted AI, a U.S. Census Bureau working paper reports that “57% of users integrate AI in three or fewer business functions, most commonly Sales and Marketing (52%), Strategy and Business Development (45%), and IT (41%),” and that “Writing, document analysis, and information search are the leading Generative AI use in tasks” (U.S. Census Bureau, CES Working Paper 26-25, April 2026).
AI-assisted desk research suits questions that published sources can answer, and the questions are the same for a large company's strategy team and a growth-stage company:
| Question | Typical Scope | Report, Price, Delivery |
|---|---|---|
| Regular competitive review | Competitor landscape, positioning and differentiation, re-ordered each quarter | Competitive Analysis, $149, 48–72 hours |
| One focused question, e.g. before a board meeting | A single market development or question | Market Intelligence Brief, $99, 48–72 hours |
| Product assumption test before committing build resources | Segment size, competitive space, comparable launches, pricing signals | Market Intelligence Brief, $99, 48–72 hours; for a technology question, Technology Assessment, $199, 3–5 days |
| Market-entry feasibility scan | Market size, competitive density, regulatory barriers, go-to-market channels | Focused Analysis, $999, 7–10 days |
| Pre-LOI market questions | Target market size and growth, competitive landscape, regulatory risk flags, comparable transaction signals, to support your own diligence | Focused Analysis, $999, 7–10 days |
| Strategic question needing maximum depth | A defined scope, covered at maximum depth | Enterprise Intelligence, $2,999, 3–4 weeks |
Multi-section questions such as market entry strategy or the market side of a deal (see investment research reports) fit the Focused Analysis. Where AI research does not fit: executive interviews and proprietary surveys still need fieldwork, and a point-in-time report does not replace a monitoring system. For how scope drives price, see what a market research report costs.
Frequently Asked Questions
How does confirmation bias affect corporate market research?
It enters when a brief is written to validate a decision already made. Richards J. Heuer Jr.'s Psychology of Intelligence Analysis, published by the CIA's Center for the Study of Intelligence, recommends seeking to refute rather than confirm hypotheses. In practice that means a neutrally worded brief that tests the decision.
How are large companies using AI today?
In U.S. Census Bureau survey data collected from December 2025 to May 2026, 37% of firms with at least 250 employees reported using AI in their business operations, while overall usage hovered between 17% and 20%. Among adopting firms, the most common functions were Sales and Marketing, Strategy and Business Development, and IT.
Can AI market research replace traditional corporate research?
Not entirely. AI-assisted desk research suits questions that published sources can answer, such as market sizing, competitive landscape and regulatory mapping. Executive interviews and proprietary surveys still need fieldwork. VIDANALYTICA reports start at $99, with sources cited inline and a sample of key claims fact-checked before delivery.
The Common Thread
Each of the five is a process problem (timing, framing, connection, scope and cadence) that budget alone does not address, and the Zillow filing adds a caution for every method: estimates rest on assumptions that need re-testing.
The remedies are the same at any size: get the answer before the decision, write the brief to test rather than confirm, read findings together, widen the competitive set to at least what incumbents disclose, and re-ask the questions that matter. Delivery in days and per-report pricing address the first and last; the middle three depend on how the brief is written.