AI agents could spark bank runs by yanking cash from low-paying accounts: Apollo economist

Read the original at New York Post ↗
New York Post · collected 2026-09-28 · by Ariel Zilber

Quick Summary

Apollo chief economist Torsten Sløk warns that artificial intelligence agents like Meta’s Muse might trigger a new kind of bank run by automatically moving consumers' cash from low-interest checking and savings accounts to higher-yield alternatives. This shift would deprive banks of the cheap deposits they need for lending, potentially destabilizing the financial system. While Muse was launched on September 8 with capabilities beyond answering questions, it is currently unclear if it can facilitate direct money transfers between accounts. Sløk’s prediction assumes widespread adoption of such AI tools, though experts like Shama Hyder caution that large-scale implementation and trust in these technologies are not yet at that stage.
Written locally by qwen2.5:14b on 2026-09-28, using this article's own text rather than the other coverage of the same event (that is the story summary below).

AI analysis runs on qwen2.5:14b, locally

Story summary

Torsten Sløk, chief economist at Apollo, warned that artificial intelligence (AI) agents like Meta’s Muse could trigger bank runs by automatically transferring consumers' money from low-interest checking accounts to higher-yield investments. This prediction is part of a growing trend of pessimistic views on AI's impact on the financial system. Sløk explained that if every household uses AI to optimize their cash balances, banks could lose significant amounts of cheap deposits they rely on for lending activities. For instance, $10,000 earning 0.1% interest annually generates only about $10 in interest, compared to roughly $500 at a 5% rate. The Federal Deposit Insurance Corporation (FDIC) reported national averages of 0.4% for savings accounts and just 0.1% for checking accounts as of recent data. Shama Hyder, a professor from the Link School of Business in Miami, agreed with Sløk's concerns but argued that the timing might be premature since AI technology isn't yet advanced enough to cause such mass financial movements.

Written for “AI and Banking Risk” on 2026-10-05, grounded in this article and the 0 other(s) covering the same event.

Signals How these are calculated →

Claims extracted
18
claim-shaped sentences
Uncertain
39%
7 of 18 hedged
Leaning
not political
takes no side on a contested political question
Correction & hedging signals
64.3
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 2026-09-28 · how these are computed

Story

📰 AI and Banking Risk
Technology · 1 article(s) covering the same event.

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 unscored and hedges 39% of its claims. Each row says how that neighbour differs.
The Sydney Morning Herald
⚖️ leaning not scored 🔴 16% hedged 7 of 44 📰 publisher trust 61
“The articles discuss different aspects and implications of AI on finance, with Article A focusing on potential bank runs caused by AI agents optimizing returns for consumers, while Article B covers broader market volatility and investor sentiment towards AI technologies.”
The Guardian
⚖️ Leans left 🔴 20% hedged 3 of 15 📰 publisher trust 68
“The articles discuss different concerns related to AI in finance rather than a single specific incident.”
New York Post
⚖️ leaning not scored 🔴 42% hedged 11 of 26 📰 publisher trust 64
“The articles discuss different aspects of Meta's Muse AI agent's impact on the financial industry and do not describe the same specific incident or outcome.”
The Sydney Morning Herald
⚖️ Leans left 🔴 38% hedged 17 of 45 📰 publisher trust 61
“The articles discuss different aspects of AI agents and their potential impacts but do not describe the same specific incident or outcome.”

Publisher

New York Post · 6759 article(s) · 23 correction(s) detected
Running correction rate · 23 correction(s)
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Who wrote this

Ariel Zilber
45 article(s) here · 1 carrying a prediction
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Also by Ariel Zilber
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 45 articles by Ariel Zilber →

Topics

Apollo Meta Muse Plaid Sløk

Subjects

Sløk ORG · 5× Muse ORG · 3× Hyder PERSON · 2× Meta ORG · 2× Plaid ORG · 2× The Post ORG · 2× Apollo ORG · 1× FDIC ORG · 1× Shama Hyder PERSON · 1× Torsten Sløk PERSON · 1×

Narrative

Shama Hyder, a professor of practice at the Link School of Business in Miami, told The Post that Sløk is right about the broader threat AI poses to banks, but said the technology is not yet close to triggering a mass flight of deposits. “Where I’d pump the brakes is the timing.
framing: mixed · carried by 1 article(s) · first seen 2026-09-28
🔮 AI agents could spark a new kind of bank run by automatically yanking consumers’ cash out of low-paying checking accounts and chasing higher yields, Apollo chief economist Torsten Sløk warned — the latest dire prediction about artificial intelligence in a wave of doomerism.

Claims (18 extracted, 7 hedged)

AI agents could spark a new kind of bank run by automatically yanking consumers’ cash out of low-paying checking accounts and chasing higher yields, Apollo chief economist Torsten Sløk warned — the latest dire prediction about artificial intelligence in a wave of doomerism. uncertain
prediction → spark → doomerism
The threat to banks could emerge as personal AI agents such as Meta’s newly launched Muse gain access to users’ financial information while taking on a growing range of tasks on their behalf, the egghead explained. “If every household used AI agents to optimize the return on their cash balances, banks could lose a large share of the cheap deposits they rely on to make loans, which would be a problem for the entire financial system,” Sløk wrote in a Sundaynote. uncertain
Sløk → emerge → Sundaynote
For consumers, the incentive seems obvious: a $10,000 balance earning 0.1% generates about $10 a year in interest, while the same amount at 5% would earn roughly $500. asserted
amount → seem → 500
By comparison, the FDIC national averages cited in the note were 0.4% for savings accounts and just 0.1% for checking. asserted
averages → cite → checking
But a potential windfall for savers could become a headache for banks if AI agents make it easier for customers to move cash out of low-paying accounts en masse — depriving lenders of the cheap deposits they rely on to fund loans. uncertain
they → become → loans
Banks benefit when customers leave cash in low-yield accounts, allowing lenders to pay depositors relatively little while lending that money out at higher rates. asserted
lenders → benefit → rates
AI agents could threaten that model by making it easier for consumers to identify higher-yielding alternatives and shift their cash, Sløk noted. uncertain
Sløk → threaten → cash
Meta launched Muse on Sept. 8, trumpeting its ability to carry out tasks for users instead of just answering questions like your run-of-the-mill AI bot. asserted
Meta → launch → bot
Financial services company Plaid says its network gives Muse access to user-authorized data from more than 12,000 US financial institutions and apps, including balances, transactions, investments and mortgage details. asserted
network → say → balances
Plaid has not specified whether Muse can actually transfer money between accounts. asserted
Muse → specify → accounts
Sløk framed automatic cash sweeps as something that “could soon” happen, rather than a capability Muse currently possesses. uncertain
Muse → frame → something
His warning also rests on the technology being adopted on a massive scale. asserted
warning → rest → scale
Sløk shied away from estimating how much money could ultimately move out of traditional bank accounts — or how quickly that could happen. uncertain
that → shy → accounts
Shama Hyder, a professor of practice at the Link School of Business in Miami, told The Post that Sløk is right about the broader threat AI poses to banks, but said the technology is not yet close to triggering a mass flight of deposits. “Where I’d pump the brakes is the timing. asserted
timing → tell → brakes
A run-like event needs millions of households to hand an AI agent the keys to their checking account, and they aren’t there yet,” she said. asserted
she → need → account
“People will use AI tools long before they trust them with the transfer button,” Hyder added. asserted
Hyder → use → button
Still, the prof said banks that heavily rely on customers leaving money in low-paying accounts could eventually face pressure as AI makes it easier to shop around for better rates. uncertain
it → say → rates
“A bank that depends on customers not bothering to shop around has a business model built on friction, and AI is very good at removing friction,” Hyder told The Post. asserted
Hyder → depend → Post
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