Digital
George Noble flags trouble at OpenAI in viral X post
MUMBAI: A single viral post has reignited a familiar Silicon Valley anxiety. Is the artificial intelligence boom racing ahead of its own economics?
Over the weekend, investor and commentator George Noble published a lengthy note on X that bluntly questioned OpenAI’s finances, leadership stability and long term prospects. The post quickly gained traction, not because it revealed new filings or announcements, but because it stitched together rumours, analyst estimates and user frustration into a sharply worded warning about one of the world’s most valuable AI firms.
Why it matters goes well beyond OpenAI. The company sits at the heart of the current AI investment cycle, propped up by big tech capital, vast data centres and soaring expectations. If even a fraction of Noble’s claims prove accurate, it would strengthen the argument that AI’s costs are rising faster than its returns, just as competitors close the gap and regulators circle.
Noble argues that OpenAI is struggling to balance three pressures at once: intensifying competition from Google’s Gemini, eye watering compute and energy bills, and growing legal and governance scrutiny. He also suggests that recent product updates have failed to impress users in the way earlier releases did, raising uncomfortable questions about diminishing returns.
OpenAI has not publicly responded to the post. Many of the figures cited are based on analyst estimates or second hand accounts, and supporters say the company is investing aggressively to secure long term dominance rather than chasing short term profit. Even so, the thread has struck a nerve at a moment when investors are already reassessing lofty AI valuations.
Below is George Noble’s post on X, reproduced in full, which has fuelled the debate.
OpenAI IS FALLING APART IN REAL TIME
I’ve watched companies implode for decades.
This one has all the warning signs.
OpenAI declared “Code Red” in December.
Altman sent an internal memo telling employees to drop everything because Google’s Gemini 3 is eating their lunch.
Salesforce CEO Marc Benioff publicly ditched ChatGPT for Gemini after using it for two hours.
ChatGPT traffic fell in November.
Second month-over-month decline of 2025.
Meanwhile Gemini jumped to 650 million monthly active users.
The company that was supposed to build AGI can’t keep its chatbot competitive.
But the real story is the money.
OpenAI lost $12 BILLION in a single quarter according to Microsoft’s own fiscal disclosures.
Deutsche Bank estimates $143 billion in cumulative negative cash flow before the company turns profitable.
Their analysts put it bluntly:
“No startup in history has operated with losses on anything approaching this scale.”
They’re burning $15 million per day on Sora alone.
$5 billion annually to generate copyright-infringing memes.
Even Sora’s lead engineer admitted the “economics are currently completely unsustainable.”
Here’s the big math problem nobody wants to discuss.
It’s going to cost 5x the energy and money to make these models 2x better.
The low-hanging fruit is gone.
Every incremental improvement now requires exponentially more compute, more data centers, more power.
Reports suggest OpenAI’s large training runs in 2025 failed to produce models better than prior versions.
GPT-5 launched to widespread disappointment.
Users called it “underwhelming” and “horrible.”
OpenAI had to restore GPT-4o within 24 hours because users preferred the old model.
Altman had promised GPT-5 would make GPT-4 feel “mildly embarrassing.”
Instead, users complained it was worse at basic math and geography.
They’ve released GPT-5.1, GPT-5.2 since.
Same complaints each time: too corporate, too safe, robotic, boring.
The talent exodus makes this even worse.
CTO Mira Murati. Gone.
Chief Research Officer Bob McGrew. Gone.
Chief Scientist Ilya Sutskever. Gone.
President Greg Brockman. Gone.
Half the AI safety team departed.
Multiple executives reportedly cited “psychological abuse” under Altman’s leadership.
And now Elon Musk is suing for up to $134 billion.
A federal judge just ruled the case goes to jury trial in April.
There’s “plenty of evidence” that OpenAI’s leaders promised to maintain the nonprofit structure that Musk funded.
Musk provided $38 million in early funding based on those assurances.
Now he wants his share of the $500 billion valuation.
OpenAI called it “harassment.”
But the judge disagreed.
Here’s what I think happens next.
The AI hype cycle is peaking.
The diminishing returns are becoming impossible to hide.
Competitors are catching up.
The lawsuits are piling up.
OpenAI needs to generate $200 billion in annual revenue by 2030 to justify their projections.
That’s 15x growth in five years while costs keep exploding.
Even Sam Altman admitted investors are “overexcited” about AI.
His exact words: “Someone is going to lose a phenomenal amount of money.”
If I were running an AI startup with good traction right now, I’d be looking for an exit.
Sell into the hype before the music stops.
My positioning:
I’m not touching OpenAI-adjacent plays at these valuations.
The risk profile is astronomical.
If you’re exposed to the Magnificent 7 through AI infrastructure bets, consider trimming.
The gap between promised revolution and delivered reality has never been wider.
The smart money is rotating into sectors where valuations actually reflect fundamentals.
Small and mid-caps are trading near decade lows relative to Big Tech while earnings growth is only marginally lower.
Markets can price risk.
But they can’t price chaos.
And OpenAI is chaos dressed up in a $500 billion valuation.
Whether the post proves prescient or overblown, it has done its job. It has reopened the uncomfortable question shadowing the AI boom: how long can belief outrun balance sheets?
Digital
RBI proposes Rs 25,000 compensation cap for small digital fraud losses
RBI, customer bank and beneficiary bank will share payouts
NATIONAL: The Reserve Bank of India has proposed a new compensation framework for small-value fraudulent electronic banking transactions, requiring the central bank, the customer’s bank and the beneficiary’s bank to share payouts to affected customers.
Under draft rules released on Friday, compensation will be capped at the lower of 85 per cent of the net loss amount or Rs 25,000 in cases where the gross loss from a fraudulent electronic transaction is up to Rs 50,000.
The proposal comes as regulators step up efforts to strengthen customer protection amid a rise in digital banking frauds.
RBI governor Sanjay Malhotra had indicated during last month’s monetary policy announcement that the central bank planned to introduce a compensation framework for small-value digital frauds, allowing affected customers to claim relief once during their lifetime.
According to the draft guidelines, when the loss is below Rs 29,412, compensation of 85 per cent of the loss will be paid. Of this amount, 65 per cent will be borne by the RBI, while the customer’s bank and the beneficiary bank will contribute 10 per cent each.
For losses of Rs 29,412 or more but up to Rs 50,000, the compensation will be capped at Rs 25,000. In such cases, the RBI will contribute Rs 19,118, while the customer’s bank and the beneficiary bank will each contribute Rs 2,941.
If funds are later recovered after compensation has been paid, the customer’s bank must recalculate the payout based on the revised net loss and adjust the recovered amount accordingly.
Customers will be eligible for compensation only if they report the fraudulent transaction within five calendar days of its occurrence.
Complaints must be lodged both with the bank and through the National Cyber Crime reporting portal or the National Cyber Crime helpline. Banks must also confirm that the loss is bona fide under their internal processes.
Once a complaint is received, banks must compensate the customer within five calendar days, the draft rules state.
In joint accounts, only one account holder may submit a compensation claim.
The central bank has also proposed tightening transaction alerts by mandating instant SMS notifications for all electronic banking transactions above Rs 500. For transactions of up to Rs 500, banks may decide whether to send alerts based on internal policies.
Banks will not be allowed to charge customers for SMS messages sent to meet regulatory requirements or those used for promotional, marketing or customer awareness purposes.
The draft framework also calls for stronger oversight by requiring banks to periodically report complaints related to fraudulent electronic transactions to their boards or board-level committees. These reports must detail the number and value of cases across categories including card-present transactions, card-not-present transactions, internet banking, mobile banking and ATM transactions.
The RBI has invited public comments on the draft guidelines until 6 April, 2026. The rules are expected to take effect on 1 July, 2026 once finalised.
Banking officials say the proposed sharing of compensation between the RBI, the customer’s bank and the beneficiary bank is intended to increase vigilance across the digital payments ecosystem.
