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Americans who are charged overdraft fees are now on track to save $225 a year

ATM machine
The CFPB finalized a rule set to save Americans money in overdraft fees.

Tang Ming Tung/Getty Images

  • The CFPB finalized a rule that allows banks to cap overdraft fees at $5 or set the fee at an amount that covers losses.
  • The rule, which will take effect in October 2025, is projected to save Americans $5 billion annually, or $225 per household.
  • The CFPB previously found that banks were charging Americans unnecessary overdraft fees.

Americans who spend more than they have in their bank accounts won't be burdened with hefty fees come October next year.

On Thursday, the Consumer Financial Protection Bureau announced that it finalized a rule that would limit overdraft fees at the bank. Overdraft fees are charged when customers make a withdrawal that results in a negative account balance. However, the CFPB found that some banks charged higher fees than they needed to cover their losses, leaving consumers in a financial bind.

The new rule updates federal regulations for banks with more than $10 billion in assets. It provides those banks with options for lowering overdraft fees, including capping them at $5. For banks that choose to offer overdraft as a service for their customers, the rule allows banks to set their fee at an amount that covers costs and losses. If banks do want to keep making profits off of overdraft fees, they'll have to disclose the terms of it like they do with credit cards and other loans.

These changes are expected to save Americans up to $5 billion each year, or $225 per household, the CFPB said.

"For far too long, the largest banks have exploited a legal loophole that has drained billions of dollars from Americans' deposit accounts," CFPB Director Rohit Chopra said in a statement. "The CFPB is cracking down on these excessive junk fees and requiring big banks to come clean about the interest rate they're charging on overdraft loans."

Lower-earning Americans are disproportionately impacted by overdraft fees, per a previous report from the CFPB. The agency found that around a third of households with income below $65,000 were charged with an overdraft or a non-sufficient fee, compared to just 10% of consumers in households earning over $175,000. Americans of color and those without a college degree were also more likely to live in households affected by those fees.

The CFPB's finalization of the overdraft rule comes as the future of the agency is unclear. President-elect Donald Trump tapped Elon Musk and Vivek Ramaswamy to lead the new Department of Government Efficiency, or DOGE, which aims to get rid of government waste. The two DOGE leaders said they would accomplish that goal, in part, by eliminating some federal agencies, including the CFPB.

"Delete CFPB," Musk wrote in a late November post on X. "There are too many duplicative regulatory agencies."

Chopra responded to Musk's remarks during an MSNBC interview on December 7, saying that getting rid of the CFPB would be "mayhem" and "begging for a financial crisis."

"I don't understand why people would want financial crime," Chopra said, "and if they say it's duplicative, who else will do it?"

Have you paid overdraft fees or struggled with banking fees? Contact these reporters at [email protected] and [email protected].

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What McKinsey says will separate the winners and the losers of Wall Street's AI race

future of data on wall street 4x3

Samantha Lee/Business Insider

  • McKinsey helps banks and financial institutions with their generative AI efforts.
  • It outlined the dos and don'ts of seeing a return on AI investments in a report.
  • Business Insider spoke with McKinsey's Larry Lerner about what will separate winners and losers.

The bill is coming due for Wall Street banks' AI investments.

It's been two years since generative AI captured the attention and dollars of bank leaders. They amassed teams of technologists to experiment with generative AI and run proofs of concepts. Some of those have since scaled to enterprise-wide initiatives used by thousands of employees. Now, leaders are beginning to question when these investments will pay off.

"That is the $20 billion question," according to Larry Lerner, a partner in McKinsey's banking practice.

For a handful of firms, Lerner said tangible returns are starting to emerge in the form of current cost savings, future cost avoidance, and incremental revenue. But for many, the reality is "POC purgatory," Lerner said, referring to proofs-of-concept pitfalls where firms get stuck in the experimentation phase and "become very tepid about really leaning in." In those cases, the "institution has spent the last two years investing and investing and not seeing anything at all," Lerner said.

According to an October report from Evident AI, which tracks AI adoption in financial services, only six out of 50 banks disclosed dollar-level cost savings or revenue lifts as a result of their AI investments.

So, what separates the frontrunners from the laggards? According to fresh research from McKinsey, it can come down to a few key decisions around concentrating efforts on a couple of uses, having CEO buy-in, and using generative AI in conjunction with other technologies. Most of all, it'll involve a mindset shift where AI is viewed and treated as a business opportunity rather than a technological problem, Lerner said.

Lerner outlined what will separate the winners from the losers. He declined to comment on specific companies.

Viewing AI as a business problem, not a tech one

Leadership teams have to recognize that generative AI is a business opportunity, not just a technology play, Lerner said. Because of that, he said business leaders should bear the brunt of the accountability, rather than that responsibility falling solely on tech leaders' shoulders.

"The institutions that make business leaders accountable for delivering their results will over time tend to do better because there's a much stronger partnership," Lerner said.

Concentrating firepower

Generative AI has lead to more value when there are only a handful of use cases, instead of every business unit doing a little bit here and there and seeing what sticks, Lerner said.

"Instead of having 60 use cases across 15 different business lines and functions, narrow down to three areas where you want to go deep," where you're reimagining the entire domain or workflow has led to a faster path to value, Lerner said.

Choose areas where ROI can actually be tracked

It's becoming increasingly clear that generative AI's main strength in saving workers time can't always be traced back to bottom-line impact, which is leading to some frustration in the boardroom.

"The value of what you're doing depends on how you're going to repurpose your time, and that's really hard to do," Lerner said. "Because it's an indirect sort of lever, it's very difficult to actually measure and get people to agree that there's value."

On the other hand, AI tools like call-center copilots and AI-powered marketing campaigns that improve the customer experience can generate incremental value that is measurable, Lerner said. One large bank referenced in the McKinsey report is projecting a 10% revenue increase thanks to a new analytics platform to target new customers and cross-sell products to existing ones.

For buy now, pay later fintech Klarna, leveraging an OpenAI-powered call center agent is estimated to bring some $40 million in profit this year, the company said in a blog post earlier this year. At the time, the AI was doing the work of 700 full-time agents, according to Klarna.

Lerner said he's starting to see some banks modify forward-looking hiring plans, especially in the contact center, thanks to the increase in self-service and faster resolution times. "That cost avoidance is absolutely measurable," he said.

Reusability is key

Build something once and redeploy it a hundred times, Lerner said. Doing so can accelerate development times and let companies scale faster because the tool has already gone through the required risk, security, and compliance approvals, he said.

Execution will come down to adoption

Getting workers and customers to adopt a new way of doing something or a new technology is one of the most important parts of the value equation. It's an old challenge that banks have had with previous technology cycles. When it comes to AI, "most companies have done a pretty bad job of getting adoption to the level that's going to yield the results that they want to yield," Lerner said.

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Citi promoted its largest class of managing directors under Jane Fraser. Check out the 344 names here.

A woman with glasses speaks
CEO Jane Fraser

Drew Angerer/Getty Images

  • Citigroup announced 344 new managing directors on Thursday, its largest class under CEO Jane Fraser.
  • It boosted the number of new MDs in technology, a unit core to Fraser's transformation efforts.
  • Here's the list of names the bank tapped to help steer the firm through its next phase.

Citigroup on Thursday named 344 employees to the bank's highest rank outside the C-suite, the most since Jane Fraser became CEO in 2021. The promotions wereΒ driven in part by its investments in technology amid a larger transformation effort.

Managing director promotions are an annual tradition across Wall Street and help to showcase the next generation of industry leaders. Citi's MD promotions come as Fraser continues a yearslong effort to modernize and simplify the bank, including by thinning out its management ranks. Earlier this year, the banks said it would cut 20,000 jobs, roughly 10% of headcount, over the next five years.

Citi's overhaul β€” known as the "Transformation" β€” includes efforts to upgrade the bank's risk controls and tech following a series of missteps that landed the firm in hot water with regulators, including an accidental payment of nearly $900 million to creditors of the beauty brand Revlon in 2020.

This year's MD class includes more leaders from its markets and technology groups, as well as the chief operating office, a Citi spokesperson told BI. The number of promotions in the services and banking units remained flat, the spokesperson said, adding that there was a slight decrease in US personal banking and legacy franchises, or businesses that the company is in the process of winding down.

Markets saw the largest number of promotions at 69, followed by 48 in its banking group (encompassing investment, commercial, and corporate banking), and 42 in wealth. Technology has 27 new MDs.

Citi officials, including Fraser and Viswas Raghavan, Citi's new head of banking who joined in February from JPMorgan, praised the new class for their "relentless" pursuit of performance in a Thursday memo, a copy of which was obtained by Business Insider.

"Our new MDs have been instrumental in ensuring we continue making progress on our Transformation and with our regulators," said the memo authored by members of Citi's executive management team. "They continue to build our credibility with key stakeholders and are relentless about driving stronger business performance."

The MDs were also honored Thursday morning with "roll call" gatherings within their respective business units β€” an annual tradition within some divisions that was expanded across the bank last year.

Here's the full list of new managing directors at Citigroup and some key demographic stats:

Banking (48 names)

  • Aditya Agarwal
  • Salomon Amkie
  • Vicente Alejandro Arevalo Barrabes
  • Lorenzo Beacco
  • Chad Bergert
  • Mike Berry
  • Seok Hoon Chia
  • KC Clark
  • Blazej Dankowski
  • Lucy Devlin
  • Colm Donnelly
  • Osama Naji El-Ali
  • Casper Elnegaard
  • Ben Exner
  • Gustavo Fontes
  • Andre Funari
  • Mario Garcia
  • Ricardo Garza
  • Cecile Guilleminot
  • Ferdinand Haindl
  • Melissa Haw
  • German Heberling
  • Elia Hermida
  • William Herrmann
  • Eric Himmelberger
  • Crystal Jin
  • Gabe Juarez
  • Abhishek Kaila
  • Dai Kitatani
  • Abhinav Lamba
  • Billy Liu
  • Param M
  • Ula Malczewska
  • Siena Malik
  • Simon Marrison
  • Gino Mbetse
  • Andrew Miller-Jones
  • Kevin O'Sullivan
  • David Oji
  • Mihail Polyakov
  • Prateek Rastogi
  • Partha Rathore
  • Linlin Sun
  • Alex Syhanath
  • Atsushi Tauchi
  • Saffet Tinaztepe
  • Yeung Tsai
  • Sunny Wang

Citibank, N.A. (2 names)

  • Rajan Brotia
  • Barry J White

Client (18 names)

  • Fatima Boolani
  • Ian Booth
  • Laura Chia Yi Chen
  • Andrew Gardiner
  • Neary Guenin
  • Shishir Prasad
  • Kenny Pun
  • Tyler Radke
  • Jennifer Sariano
  • Jamie Searle
  • Chirag Shah
  • Viral Shah
  • Jack Shang
  • Noorie Singh
  • Albert Sutton
  • Judy Yip
  • Xiangrong Yu
  • Cedric Zunino

Chief Operating Office (20 names)

  • Abhishek Agarwal
  • Rob Brodie
  • Sean Burnham
  • Geoffrey Capes
  • Erika Federico
  • Kimberlie Hardial-Choo
  • Stuart Hill
  • Kyle Hughes
  • Ketan Khokhani
  • Swati Kulkarni
  • James McGuigan
  • Adrian Murphy
  • Juan Francisco Orrego
  • Tim Palmer
  • Chris Skarzinski
  • Carolina Spalding
  • Pamela St John
  • Subha V
  • Chris Winter
  • Adam Wood

Enterprise Services and Public Affairs (3 names)

Graham Buck

  • Anmol Chowdhry
  • Davida Heller
  • Finance (17 names)
  • Bilal Akhtar
  • Peter Battin
  • Yun-ni Chen
  • Peter Demoise
  • Marcos Diaz
  • Kimberly Egert
  • Michael Fillius
  • Janak Ghosh
  • Kevin Hong
  • Matt Jonason
  • Dimba Kier
  • Bertrand Louvard
  • Cynthia Ng
  • Sandeep Pati
  • Rebecca Reeb
  • Teresa Salvato
  • Yun Wang

Global Legal Affairs & Compliance (22 names)

  • Alberto Arenas, CSIS
  • Kimberly Barnes, ICRM
  • Michael Caravella, Legal
  • Shirley Carter, Legal
  • Sam Cory, ICRM
  • Mark Eliades, Legal
  • April Fredlund, Legal
  • Steven Krause, ICRM
  • Dora Kreymborg, Legal
  • Angie Lockley, CSIS
  • Dana Lukens, Legal
  • Matthew MacIntyre, CSIS
  • Piotr Matuszewski, ICRM
  • Rosie McAnlis, Legal
  • Geardine McCann, Legal
  • CiarΓ‘n Murphy, ICRM
  • Paul Patton, Legal
  • Deborah Resch, Legal
  • Jose Riera, CSIS
  • Mark Steuer, ICRM
  • Laura Toustau, ICRM
  • Rosalie Yee, Legal

Human Resources (3 names)

  • Shari Funk
  • Shay Gonen
  • Laura Zablah

Internal Audit (9 names)

  • Neha Bhardwaj
  • Callie Boyd
  • Josh Goldsmith
  • Gordon Hua
  • Sophia Jingo
  • Patrick Kielty
  • Neil Kothare
  • James Kouame
  • Cindy Santoro

International (4 names)

  • Fahad Aldeweesh
  • Maria Paula Carvajal
  • Jonathan Nix
  • Kubilay Ozturk
  • Legacy Franchises (6 names)
  • Bill Burns
  • Enrique Granillo
  • Jesus Jauregui
  • Gonzalo Palafox
  • Erick Ramirez
  • Jean Rocha Rodrigues
  • Markets (69 names)
  • Laurence Assip
  • Robert Beatson
  • Paul Berry
  • Matthew Boyer
  • Suninder Singh Chauhan
  • Amish Chotai
  • David Collis
  • Ashish Kumar Daga
  • Marc Damoiseaux
  • Connor Dwyer
  • Chuck Edmunds
  • Richard Fairhall
  • Carlos Ferrari
  • Michael Fershtman
  • Imelda Frayre
  • Andre Grossi
  • Roshni Gudka
  • Aditya Gupta
  • Natalia Gutierrez de la Peza
  • Kentaro Hayashi
  • Peter Nicholas Hext
  • Sandy Hou
  • Rocky Huang
  • Rob Hughes
  • Funmi Ibidunni
  • Howard Ilderton
  • Johan Kabla
  • Neha Kapur
  • Yana Keresteliev
  • Subir Kumar
  • Christopher Kuo
  • Eirini Lerikou
  • Ronan Liston
  • Jorge Lonegro
  • Steffen Lunde
  • Roberto Massacci
  • Maura McFadden
  • Egor Miroshnikov
  • Jim Monahan
  • Chen Ni
  • Fonzarelli Ong
  • Warren Parker
  • Vijay Parthasarathy
  • Mihaela Penes
  • Galvin Phua
  • Jason Pillai
  • Luke Pollock
  • Jonathan Radke
  • Rohit Rajgaria
  • Richard Rosin
  • Camila Rossetti
  • David Rufino
  • Colin Ryan
  • Manish Saraf
  • Angele Seriki
  • Bollie Shiflett
  • Marie Sho
  • Esben Shoen
  • Siris Singh
  • Iqbal Sohal
  • Kumar Subramanian
  • Andrew Sufka
  • Aruna Tatavarty
  • Davy Tsang
  • Miro Vucetic
  • Rishi Watts
  • Marcus Weickel
  • Henry Wong
  • Jeff Wu

Office of the CEO (1 name)

  • Sigrid Nubla

Risk (16 names)

  • Mikael Amar
  • Gabby Banwait
  • Om Barlinge
  • Anindya Basu
  • Bridget Griffin
  • Nayantara Gupta
  • Matthew Haigh
  • Chuck Hou
  • Ibo Longjam
  • Shivi Punia
  • Liza Ramsammy
  • Navrup Rana
  • Ravi Surana
  • Logan Tamres
  • Rodrigo Vargas
  • Thomas Wood

Services (32 names)

  • Saurabh Arora
  • Kfeir Barkai
  • Leandra Catton
  • Amit Choudhary
  • Chris Cook
  • Yoanna Darwin
  • Jane Dulson
  • Carol Ferretti
  • James Flugstad
  • Elena Gomez
  • Mandeep Heer
  • Jonathan Jordan
  • Ronan Kealy
  • Lenny Leone
  • Simon McConnell
  • Ross McEwan
  • Mary Messer
  • Olivia Morgan
  • Sergei Oganov
  • Patrick O'Neill
  • Nikhil Patankar
  • Sonal Patel
  • Leandro Quintal
  • Rob Ranson
  • Andy Ren
  • Kirstin Renner
  • Sean Ruby
  • Yvonne Swainston
  • Tomas Videla
  • Heidi Willox
  • Elias Xilas
  • Melissa Ongleo Yambao

Technology (27 names)

  • Catherine Ablott
  • Mohamed Alsaloom
  • Shante Avery
  • Kashif Awan
  • Nidhruv Bahree
  • Mark Ballard
  • Andre Batista
  • Kathryn Beard
  • Rachel Carpenter
  • Noby George Cheruvathoor
  • Gonzalo Cordova
  • Nigel Deverteuil
  • Ryan Evans
  • Jeffrey Hazel
  • Adam Hess
  • John Shannon Hogue
  • Hong Jiang
  • Dave Jones
  • Hitesh Kshatriya
  • Greg Lurie
  • Rajesh M K
  • Deepak Nabera
  • Steven Readett
  • Jon Rosen
  • Michael Todisco
  • Nishanth Vontela
  • Rajesh Wadhwa

U.S. Personal Banking (5 names)

  • Jeff Chwast
  • Timothy R Dougherty
  • Tracy Goldman
  • Sri K Lakamsani
  • Supriya Ramamurthy

Wealth (42 names)

  • Yogi Abhyankar
  • Emile Abinader
  • Rob Anderson
  • Zeshan Azam
  • Nicola Baker
  • Christopher Barron
  • Stewart Boag
  • Olga Bogdanova
  • Greg Byrne
  • Winnie Choi
  • Mendy Chung
  • Juan Francisco Clemenza
  • Sheethal Dalpathraj
  • David C Darshan
  • Beth Emswiler
  • Matthew Ferrari-Wells
  • Jenny Fung
  • Carlos Garcia-Crespo
  • Brad Goldberg
  • Hollie Griego
  • Danny Jones
  • Eric Kraus
  • Mark Chung Hei Lee
  • Lena Siew Geok Lim
  • Jason Liu
  • Andrew Louw
  • Alinne Majarian Fash
  • Vlod Makar
  • Alex Marks
  • Kishore Indroo Motwani
  • Luis Negrete
  • Diego Parlaghy
  • Claudia Penido
  • Juan Guillermo Ramirez
  • Gaston Rodriguez
  • Jason Rosen
  • Einat Sadka
  • Masa Sekulic
  • Kathy Stith
  • Narayan Swamy
  • Diego Szuldman
  • Frederic Viaud

Here are some key stats about the group:

  • 29% are women.
  • 24% joined through Citi through an early-career program.
  • 56% are multilingual and 30% have worked in two or more countries.
  • The new MDs have a median of 20 years of experience in financial services.
  • They are from 29 countries and comprise 35 nationalities.
  • North America represents the largest number of new MDs, 174 or 50.6%. The United Kingdom is second with 68, or 19.8%, followed by Japan, Asian North & Australia at 35 (10.2%), Asia South: 28 (8.1%), Latin America: 19 (5.5%), Europe: 15 (4.4%), Middle East & Africa: 5 (1.5%).
  • Among the 174 promotes who are based in the US, 44.8% are racially or ethnically diverse. While some identify with more than one racial or ethnic group, here's a breakdown:

    • 25.9% Asian (45)
    • 6.3% Black (11)
    • 12.6% Hispanic/Latino (22)
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