Forget data privacy, AI chatbots already know more than your own mother

New York Post · collected 2026-09-15 · by Rikki Schlott
Read the original at New York Post ↗

Summary

The article discusses how users freely provide vast amounts of personal data to AI chatbots despite concerns about privacy and security. ChatGPT alone receives 3 billion messages daily, with many interactions involving sensitive topics like health advice and emotional support. The piece highlights potential risks such as hacking, blackmail, or misuse by insurance companies and law enforcement, citing examples where AI logs were used in legal proceedings and investigations.
Written by the local model on 2026-09-15, using this article's own text rather than the other coverage of the same event (that is the story summary below).

Signals How these are calculated →

Claims extracted
43
claim-shaped sentences
Uncertain
9%
4 of 43 hedged
Leaning
Leans left
of the writing, not the subject
Correction & hedging signals
58.8
corrections and hedging in what we collected; not a measure of accuracy
Outlets on this story
1
Technology
Narrative spread
1
articles carrying this framing
Analyzed 2026-09-15 · how these are computed

AI analysis (generated at analysis time, not now)

Story summary

Users of AI chatbots like ChatGPT are sharing vast amounts of personal information, despite the potential risks involved. According to data from OpenAI, ChatGPT receives about 3 billion messages daily, with only a small percentage related to work. In 2025, an analysis by OpenAI showed that 73% of chats were non-work-related, including seeking medical advice and emotional support. Around 20% of users seek medical or diet information from chatbots, while 10% use them for emotional support, making this data highly personal and potentially sensitive. This sharing raises concerns about privacy and security, as it could lead to vulnerabilities such as hacking and blackmail.

Written for “AI Chatbot Privacy Concerns” on 2026-09-17, grounded in this article and the 0 other(s) covering the same event.
Why this leaning score
The article's own words the score was based on. Each is quoted verbatim and was checked against the article text before being stored, so you can find it in the original.
Score -0.35 Confidence high
Leaning score -0.35 for article 12172 (high confidence, 2 verified quotes) · logged 2026-09-15

Story

📰 AI Chatbot Privacy Concerns
Technology · 1 article(s) covering the same event. This is the one the site leads with.

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Compared with similar articles

This article reads leans left and hedges 9% of its claims. Each row says how that neighbour differs.
AI agents hate CAPTCHA, too different event · 95%
Semafor
⚖️ leaning not scored 🔴 0% hedged 0 of 7 📰 publisher trust 95
“The articles discuss different topics related to AI but describe distinct events: one about an AI model trying to bypass CAPTCHA and another about the personal data collected by AI chatbots.”
Is AI Really an Existential Threat? different event · 95%
Reason
⚖️ leaning not scored 🔴 6% hedged 1 of 17 📰 publisher trust 93
“The articles discuss different aspects of AI and its implications without clearly referring to the same specific incident.”
Fox News
⚖️ Leans strongly right further right than this 🔴 11% hedged 4 of 38 📰 publisher trust 95
“The articles discuss different aspects of AI concerns and do not describe the same specific incident.”
Semafor
⚖️ leaning not scored 🔴 3% hedged 1 of 32 📰 publisher trust 95
“The articles discuss different aspects of AI and its implications rather than the same specific incident.”
The Straits Times
⚖️ leaning not scored 🔴 27% hedged 4 of 15 📰 publisher trust 59
“Article A reports on a specific data breach incident allegedly carried out by an AI agent, while Article B discusses broader concerns and implications of personal information shared with AI chatbots.”
404 Media
⚖️ Leans left 🔴 18% hedged 2 of 11 📰 publisher trust 95
“Article A discusses the hiring of contractors by OpenAI to review ChatGPT prompts, while Article B focuses on the broader implications and privacy concerns related to users sharing personal information with AI chatbots like ChatGPT.”

Publisher

New York Post · 773 article(s) · 4 correction(s) detected
Running correction rate · 4 correction(s)
2026-09-15
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2026-09-15
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Who wrote this

Rikki Schlott
2 article(s) here · 1 carrying a prediction
🔮 AI companies are now in possession of heaps of personal information that social media giants could only dream of.
🔮 That seems to suggest that school could be an exacerbating factor.
Also by Rikki Schlott
Nothing else under this byline is closely related to this article, so these are simply their most recent.

Topics

Americans ChatGPT Instagram OpenAI Pinterest

Subjects

Americans NORP · 2× Anthropic ORG · 2× Darron Lee PERSON · 1× Google ORG · 1× Instagram ORG · 1× Missouri GPE · 1× NFL ORG · 1× OpenAI ORG · 1× Palantir ORG · 1× Pinterest ORG · 1×

Narrative

Regular users of chatbots seem to be literally or willfully ignorant of the privacy concerns, but Silicon Valley leaders certainly aren’t. Palantir CEO Alex Karp demanded in a July CNBC interview that big AI firms answer the pretty basic questions: “Who owns the data?
framing: assertive · carried by 1 article(s) · first seen 2026-09-15
🔮 AI companies are now in possession of heaps of personal information that social media giants could only dream of.
2026-09-15 · New York Post
Forget data privacy, AI chatbots already know more than your own mother · assertive framing

Claims (43 extracted, 4 hedged)

We’re freaked out by how tailored our advertisements on Instagram are, or how much Pinterest seems to anticipate our interior design taste — and yet we continue to spoon-feed AI chatbots heaping piles of intensely personal information. asserted
we → freak → information
AI companies are now in possession of heaps of personal information that social media giants could only dream of. uncertain
giants → dream → that
We aren’t just setting ourselves up for hyper-targeted ads. asserted
We → set → ads
We’re also making ourselves vulnerable to hacks and even blackmail. asserted
ourselves → make → hacks
ChatGPT alone receives 3 billion messages from users daily. asserted
ChatGPT → receive → users
Every time we ask a bot for advice, vent to it, or emote at it, we’re contributing to a treasure trove of hyper-personal information, even though we should know better. asserted
we → ask → information
Considerable proportions of Americans who use AI say they turn to it for frighteningly personal tasks: 20% for medical advice, 20% for diet information, 10% for emotional support, and 4% for companionship. asserted
they → use → companionship
Those are just self-reported numbers; data from OpenAI itself is even more revealing. asserted
data → report → OpenAI
Their internal analysis of 1.1 million messages sent in 2025 found that 73% of chats were not work related. asserted
% → send → chats
Eight-point-five percent of messages were seeking personalized how-to advice, 5.7% health, fitness, beauty, or self-care, 5.3% were considered “self-expression,” and 1.9% personal reflection or talking about relationships. asserted
% → seek → relationships
Potential for rogue bots deciding they might exploit the data of users isn’t remote. uncertain
they → decide → users
During a 2025 test, one Anthropic model showed a real knack for blackmail. asserted
model → show → blackmail
Facing the fictional threat of being disconnected, the model went after a fake executive and threatened to expose email evidence of his marital affair unless he intervened to prevent the shutdown. asserted
he → face → shutdown
We’re stuck in a fear-versus-behavior paradox. asserted
We → ’re → paradox
Half of US adults use AI as of this year, and a quarter use it every day. asserted
quarter → use → it
And yet 7 in 10 Americans admit they believe using AI will make their data less secure. asserted
data → admit → AI
Perhaps we’re willingly baring it all to Big Tech because we’ve become so dependent on their products. asserted
we → bar → products
What happens if your AI bot of choice starts harvesting data for its makers to sell? asserted
makers → happen → data
What if a major AI company gets hacked? asserted
company → hack → ?
Or a rogue bot starts blackmailing users? asserted
bot → start → users
What if insurance companies start mining your chatbot conversations about medical symptoms or your smoking habit? asserted
companies → start → symptoms
Or a loan provider decides they’d like to know what you say about your personal finances when only a robot is around? asserted
robot → decide → finances
And what if your personal chat logs end up being used as evidence in court? asserted
logs → end → court
Law enforcement, provided they have a warrant, can access your AI chat logs and conversations as readily as your Google searches. asserted
they → provide → searches
Already, AI chat logs have been used as evidence in murder investigations, like in the case of former NFL player Darron Lee who allegedly asked a bot to help cover up his girlfriend’s death. uncertain
who → use → death
Criminals are learning the hard way that AI isn’t a black box, including one Missouri student who allegedly asked AI “how f—ed am I bro” while confessing in detail to vandalizing cars. uncertain
I → learn → cars
Regular users of chatbots seem to be literally or willfully ignorant of the privacy concerns, but Silicon Valley leaders certainly aren’t. Palantir CEO Alex Karp demanded in a July CNBC interview that big AI firms answer the pretty basic questions: “Who owns the data? asserted
Who → seem → data
is it cached? asserted
it → cache → ?
” We should all demand answers to these questions before typing away into a robot’s database — and yet we keep volunteering our personal information anyways, because it’s convenient. asserted
it → demand → information
But the most concerning dimension of our privacy nightmare is how much information AI companies have about their users. asserted
companies → have → users
For instance, Anthropic said in their September 2026 threat intelligence report that they identified and banned users who were using their AI for the purpose of fraud, scams, cyberattacks, weapons development, and influence operations. asserted
who → say → fraud
While, of course, we should all be glad that those users were stopped, the fact that they’ve been singled out is proof that your conversations with AI aren’t simply going into a digital void. asserted
conversations → stop → void
In fact, they’re going into a very valuable pile being accessed by law enforcement and leveraged by companies for profit. asserted
they → go → profit
OpenAI is already actively developing an advertising arm of their business. asserted
OpenAI → develop → business
On their website, they excitedly tell potential advertisers that they’ll be able to “reach people in moments that matter,” because “people come to ChatGPT… [to] make decisions.” asserted
people → tell → decisions
“Go beyond keywords with richer context signals,” the company pitched on their landing page for advertisers. asserted
company → go → advertisers
“In ChatGPT, people share richer context, enabling advertising that is more relevant, personalized, and useful.” asserted
that → share → advertising
Of course, OpenAI has stressed that they “keep your conversations with ChatGPT private from advertisers” and “never sell your data to advertisers.” asserted
they → stress → advertisers
The company referred The Post to public statements assuring users that they can opt-out of personalized ads. asserted
they → refer → ads
But AI companies’ pivot into the advertising business represents a new frontier in surveillance capitalism. asserted
pivot → represent → capitalism
…and 3 more, not listed.
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