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A joint study by MIT FutureTech and the University of Queensland shows that by 2030, the probability of catastrophic harm from uncontrolled or weaponized AI is 10%, with the financial sector facing prominent risks; even with mitigation measures, experts still believe multiple risk areas have a probability of catastrophic outcomes exceeding 5%.
In an interview with CFO Dive, BlackLine CFO Patrick Villanova pointed out that token-based AI pricing models lack predictability, posing challenges to financial budgeting. He introduced that BlackLine adopts 'outcome-based' pricing and emphasized that AI applications need to be transparent and auditable. He believes that user-based pricing is being phased out, and an outcome-oriented model will become the mainstream.
According to a survey commissioned by Avalara and conducted by Censuswide, the vast majority of CFOs (92%) face pressure to demonstrate ROI from agentic AI, with 71% indicating that the pressure primarily stems from deployment speed. However, only 7% of finance leaders believe their organizations prioritize governance over speed, and this figure drops to just 4% among U.S. respondents. The survey also found that 30% of respondents said their organizations had not updated internal controls in the past year to reflect the actions of AI agents, and 44% expressed only some confidence in explaining AI agent behavior to auditors or regulators.
With over 40 U.S. states relaxing CPA exam eligibility requirements, enrollment in accounting programs has grown significantly, but AI is replacing the traditional training tasks of junior auditors. Trullion CEO Artie Minson points out that the industry needs to balance AI deployment with talent development, ensuring new accountants build professional judgment by critically questioning AI outputs rather than through mechanical operations.
An Avalara survey of 1,505 CFOs and senior finance executives found that 92% of respondents feel pressure to prove AI investment returns, but only 7% of organizations prioritize AI governance over adoption speed. 44% of respondents have only partial confidence in explaining AI agent behavior to auditors or regulators, and 76% say they lack internal expertise to understand how AI operates. The survey also shows that 30% of organizations have not updated internal controls within a year, 50% say AI agents bring only limited measurable returns, and 23% believe accountability for AI errors is unclear.
In the second quarter ended June 30, General Motors recorded a $2.3 billion incremental charge for its EV business restructuring. CFO Paul Jacobson said these actions have largely completed the expected major cash outlays. The company's cumulative EV-related charges reached $10.9 billion, while it lowered its full-year earnings outlook to between $8.4 billion and $9.8 billion.
Modernization projects are often approved based on short-term payback, but completing within budget and meeting technical standards does not equate to successful capital allocation. Using a $2 million lighting retrofit as an example, the article points out that factors such as operational changes and maintenance costs can make actual savings far lower than projected. CFOs need to adopt a capital allocation perspective, using five key questions and two control points, to ensure investment value is achievable and verifiable.
Judge Sharon Johnson Coleman of the U.S. District Court for the Northern District of Illinois recently ruled to deny the motion by Anosh Ahmed, former CFO and COO of Loreto Hospital in Chicago, to dismiss fraud charges. Ahmed is accused of participating in submitting fraudulent COVID-19 test claims exceeding $800 million and is currently detained in Belgrade, Serbia. The judge acknowledged misconduct by the government but emphasized that Ahmed's refusal to return to the U.S. for trial precludes him from seeking judicial relief in absentia.
Ernst & Young (EY) is facing a proposed class action lawsuit over a cybersecurity incident earlier this year that resulted in the exposure of sensitive client data. The lawsuit, filed on Monday in the U.S. District Court for the Southern District of New York, alleges that the Big Four accounting firm failed to protect sensitive data, including financial and tax information, putting affected individuals at risk of identity theft and tax fraud. Plaintiffs seek class certification and monetary damages.
A survey released by Gartner on July 20 shows that nearly half (45%) of finance leaders' AI investments are mainly aimed at productivity improvement, with only one-fifth focusing on decision quality. Although 87% of finance leaders feel pressure to link AI spending to business outcomes, only 22% have achieved this goal. The analysis points out that returns on efficiency-oriented investments may plateau, while decision-quality projects are more likely to deliver significant value.