Product1 distinct publisher3 min readPublished
A family in Chennai turned to ChatGPT after a high-profile guru told them their niece's death was the work of karma. The products now chasing that moment inherit a default habit of agreeing with whoever is asking.
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Read Kripa Vaidyanathan's description of why the chatbot worked and you get a spec sheet rather than a theology: it answers at any hour, and it does not judge the person asking [4][5].
Vikas Sahu describes the same purchase from the supply side. A lot of people have nobody to talk to when they are in distress, he told Fast Company, and they cannot speak openly to a guru who wants their money [13][12]. Neither of those is a claim about better answers; both are claims about access cost.
Add up the products in a single article and the category is already busy. Sadhguru's Miracle of the Mind [8], Chopra's Digital Deepak [9], Sahu's free GitaGPT [12], and general-purpose ChatGPT used off-label for bereavement counsel by a family that started with a human guru [4]. Three of those were purpose-built for this use, and the fourth, ChatGPT, was not, yet all four now serve as routes into the same moment [18].
In each of the four cases, the conversation has no described exit route [19]. The only safety rationale attributed to any operator in the piece is Sahu's, and it rests on the corpus rather than on the system: he trusts GitaGPT because it is based on the word of God, and asks how Krishna could steer anyone wrong [14][20]. Liz Bucar of Northeastern supplies the counter-argument in product terms without meaning to, saying a sacred text needs a community and a context that interprets it, and that without the teaching of how to read it you have words on a page [15].
The default behaviour researchers describe is the harder problem. These systems tend to validate and agree with the user instead of posing the challenging questions that growth requires [11]. The guru's karma answer failed loudly, and Vaidyanathan could name why it was cruel to someone freshly bereaved [3], a failure visible enough to describe out loud. An agreeable model fails more quietly, in the other direction, since a user who is being echoed back to herself tends to return. Hundreds of messages saying the bot helped [13] is testimony limited to the people who came back, a sample that says nothing about the sessions that ended somewhere worse.
Noreen Herzfeld draws the most usable line here: AI can hand over straightforward answers, and spiritual awakening takes physical presence [17]. That is a product boundary a team can actually check against.
The grid worth drawing has two axes. One is the user's state at the start of the session, idle curiosity or acute distress. The other is whether a named human is reachable from inside the product. Three of the four boxes are workable products. The fourth, acute distress with nobody on the other end, is where all four of these apps sit by default, and in the metrics it is indistinguishable from the other three. Before the next teacher's back catalogue becomes a SKU, the question with an answer is what the product does in its worst one percent of sessions. If the answer is that it keeps talking, what shipped is pastoral care carrying the brand of a human guru but not the ethical accountability critics say a human guru owes [10].
Ranked by verification strength, evidence, and original report placement.
Kripa Vaidyanathan's 27-year-old niece died in an Alaska car crash in 2024, and her family in Chennai, India, felt shell-shocked and questioned why the tragedy befell them when they had immense faith in God.
Vaidyanathan, a yoga instructor, helped her grieving sister get face time with a high-profile guru she hoped would help.
According to Vaidyanathan, the guru told her sister the death was the work of karma and that she should use the opportunity to connect with her inner nature; Vaidyanathan called that cruel and extremely unhelpful to someone freshly grieving the loss of a child.
The family then turned to AI chatbots; Vaidyanathan said it was a lot easier to get answers and peace of mind because ChatGPT is not judging you.
Vaidyanathan said the family has since found a compassionate guru but that even he has only limited time, while AI is accessible anytime.
The chatbots are powered by large language models that generate responses using advanced statistics and troves of text, including sacred ones such as Hinduism's Bhagavad Gita.
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Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
On-record voices, no numbers, one outlet
The strong material is testimonial and named: Liz Bucar and Noreen Herzfeld speak on the record, Vikas Sahu describes his own product, and Kripa Vaidyanathan recounts the guru's karma remark — though she recounts it second-hand, on her sister's behalf. The weak material is everything quantitative. 'More people are turning to AI' carries no survey, traffic or download figure, and the researchers said to have found that AI validates users are neither named nor cited.
Four products shipping, one self-reported metric
Real things exist and are named — Miracle of the Mind, Digital Deepak, GitaGPT, plus a Sadhguru hologram built with Proto Hologram that took selfies at a March festival. What is missing is any sense of scale. Sahu's 'hundreds of messages' is the single usage figure in the piece, and it counts fan mail rather than sessions. Sadhguru's 'global following of millions' describes his audience, not his app's.
A trend declared, then honestly complicated
The framing runs ahead of the counting — 'drawing more people' is doing work no data in the piece supports, and a mindfulness instructor's line that the era of gurus is over is left to stand as a verdict. But Fast Company spends nearly half its length on scholars explaining why this does not work, and lets Bucar say plainly that she doesn't know whether anyone is ready to replace gurus. That restraint keeps the overstatement modest rather than promotional.
The scarcity is the business; the apps give it away
Follow who benefits and the picture splits. Sadhguru and Deepak Chopra are extending brands built on being difficult to reach, and Proto Hologram's founder is a vendor with a contract in hand — all three have reason to talk up an avatar. Sahu cuts the other way: free product, no revenue, a day job building websites, and a stated motive of giving back, which is why his one assurance is theological rather than commercial. Working against everyone is Bucar's observation that religion's own scandals make a chatbot look like the safer confidant.
Internally consistent, externally untested
Nothing here contradicts anything else, and the quotes are specific enough to be checkable — but consistency inside a single account is cheap. Two of our sharper readings are absences: no crisis hand-off is described, and no operator vouches for output quality. Absences in one piece of reporting are not proof the products lack those things, only that nobody asked. A second account, or a look at what GitaGPT actually replies to a grieving user, would move this number more than any further quote would.