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US extends 25% chip tax credit to wafers, including solar

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The Biden administration finalized rules for a 25% tax credit for semiconductor manufacturing projects, expanding eligibility for what is likely to be the largest incentive program from the 2022 Chips and Science Act. 

The new regulations, which come more than a year after the initial proposed rules, mean that a wider swath of companies will be able to get the tax breaks. That includes businesses that produce the wafers that are ultimately turned into semiconductors, as well as manufacturers of chips and chipmaking equipment.

The credits also will apply to solar wafers — an unexpected shift that could help spur domestic production of panel components. So far, the U.S. has struggled to foster manufacturing of those parts, despite a surge of investment in U.S. panel-making factories. 

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Infineon Technologies AG’s 200 mm SiC wafer

Samsul Said/Bloomberg

But the benefits don’t extend all the way up the supply chain. Still excluded are facilities that produce underlying materials like polysilicon, which is used to make wafers. That approach is consistent with how the original law was written, as well as how the Commerce Department defines semiconductors and equipment as opposed to materials, a Treasury official said. 

The tax refunds are one of three main subsidy streams available from the Chips Act, which aims to revitalize the American semiconductor industry after decades of production shifting abroad. The law also set aside $39 billion in grant funding — more than 90% of which has been allocated, though not yet spent — and $75 billion in loans and loan guarantees, of which officials are likely to use less than half. 

The latter two incentive categories have garnered the most attention — President Joe Biden has even visited factories to herald the announcements — but it’s the tax credits that could be most meaningful for companies. Proposed grants typically cover 10% to 15% of project costs, compared with 25% for tax credits. The idea is to make it just as cost-effective to build a factory in the U.S. as in Asia.

“Our goal is to give you the minimum amount of money necessary to get you to expand on our shores in a way that advances our economic and national security objectives,” Mike Schmidt, director of the Commerce Department’s chips office, said in an August interview when asked about tax credits. “That means looking at all sources of funding and then figuring out how our funds get you over that hump.”

Some companies argued in negotiations that the tax credits shouldn’t “count against” their other funding, Schmidt said — a line of reasoning that didn’t sway government officials.

Chip companies have announced more than $400 billion in planned U.S. investment over the past several years, including massive factories from leading-edge manufacturers like Taiwan Semiconductor Manufacturing Co. and Intel Corp. There also are efforts underway to make older-generation processors and other supplies.

The surge in activity likely means that the Chips Act will be more expensive than anticipated.

The Congressional Budget Office originally estimated that the tax credits would cost $24 billion in forgone revenue. But the true number could be more than $85 billion, according to a June report by the Peterson Institute for International Economics that used “very conservative assumptions based on the current investment trends.” 

That would exceed the original projected cost of the entire Chips Act, the report said, “resulting in a total cost overrun of nearly 80%.”

Asked whether the Treasury Department has its own cost estimate for the tax credit, an official didn’t provide a specific number. But any overrun could be seen as a win by the Biden administration since it represents additional investments in American manufacturing. 

In almost every case, tax credits will account for the greatest share of Chips Act incentives going to any one company. Micron Technology Inc., for example, expects to get around $11.3 billion in tax credits for two chip factories in New York. That’s compared with $6.1 billion in grants and $7.5 billion in loans to support those two facilities plus another plant in Idaho.

Texas Instruments Inc. anticipates $6 billion to $8 billion in tax credits — as much as five times the size of its Chips Act grant.

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Poll: People trust AI less, but use AI more

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People trust AI tools less and are more worried about their negative impacts than they did two years ago but, despite this, their use has been growing steadily, as many feel the benefits still outweigh the risks. 

This is according to what Big Four firm KPMG said was the largest survey of its kind, polling over 48,000 people across 47 countries, including 1,019 people in the U.S. 

The poll found, among other things, that the proportion of people who said they were willing to rely on AI systems went from 52% in 2022 to 43% in 2024; the proportion of those saying they perceive AI systems as trustworthy went from 63% to 56%; and the proportion of those saying they were worried about AI systems rose from 49% to 62%. 

Yet, at the same time, most people use AI today in some form or another. The poll found that the proportion of organizations reporting that they’ve adopted AI technology went from 34% in 2022 to 71% in 2024; consequently, the proportion of employees who use AI at work went from 54% to 67% in the same time period.

Outside of work, in terms of their personal lives, 20% of respondents said they never use AI, but 51% said they use AI daily, weekly or monthly. For the most part, when people are using AI, it is usually a general purpose public model: 73% said this is what they use for work, versus 18% who are using AI tools developed or customized to their particular organization. 

However, while more people are using AI, fewer say they know enough about it. The poll found that nearly half, 48%, reported their AI knowledge as “low” while a further 31% rated it as “moderate.” Only 21% said they had a high amount of knowledge on AI. 

Despite this, most who use AI believe they’re pretty good at using it effectively. The poll found 62% saying they could skillfully use AI applications to help with daily work or activities; 60% said they could communicate effectively with AI applications; 59% said they can choose the most appropriate AI tool for the task; and 55% said they can evaluate the accuracy of AI responses. Those saying they lacked confidence in any area hovered between 21% to 24%.

The report suggested that this disparity might be due to AI solutions having intuitive interfaces that people can quickly grasp: just as one may not need to know much about cars to drive one, maybe people don’t need to know how AI works to use it well. 

This could be borne out by the benefits people say they have personally witnessed from using AI. A clear majority, 67%, of those using AI at work said they have become more efficient, 61% say it has improved access to accurate information, 59% say it has improved idea generation and innovation, 58% say the quality or accuracy of work and decisions has improved, and 55% say they have used it to develop skills and ability. 

However, other viewpoints are more contentious. Yes, 36% say it has saved them time on repetitive and mundane tasks but 39% say it has increased time; 40% say it has decreased their workload but 26% say it has increased it; meanwhile, 36% say it has led to less pressure and stress at work, but 26% say it has added more. Tellingly, while 19% say AI has reduced privacy and compliance risks, 35% say it has made them worse, and while 13% think it has led to less monitoring and surveillance of employees, 42% say AI has amplified it.  

While more people are using AI, they are not always doing so in ways their organizations would approve. The poll found, for example, that about 31% have contravened specific AI policies at their organizations, 34% admit they uploaded copyright material or intellectual property to a generative AI tool, and 34% said they uploaded company information. Meanwhile, 38% admitted to using AI tools when they weren’t sure if it was allowed and 31% used AI tools in ways that might be considered inappropriate (though the specifics of what that might mean was not mentioned.) 

People are also not entirely forthcoming when they have used AI, as the survey found 42% avoided revealing AI use in their work and 39% have passed off generative AI content as their own. 

The poll also found that AI has had impacts on how people work: 51% concede they’ve gotten lazier because of AI, 42% say they’ve relied on AI output without evaluating the information, and 31% admit they’ve made mistakes in their work because of AI. 

This might explain, at least partially, why 43% overall have reported personally witnessing negative outcomes from AI. The three biggest problems people have personally seen with AI are “loss of human interaction and connection” with 55% saying they’ve seen this; inaccurate outcomes, at 54%; and misinformation or disinformation, at 52%. Meanwhile, though they remain the lowest in the list, a still-troubling 31% said they saw bias or unfair treatment due to AI, 34% have witnessed both environmental impacts and the undermining of human rights due to AI, and 40% said they have seen manipulation and harmful use of AI (though, again, the specifics of this were not elaborated upon.) While right now many still believe the benefits outweigh the risks, this proportion has actually lowered from 50% in 2022 to 41% in 2024. 

However, 83% report they would be more willing to trust an AI system when such assurance mechanisms are in place. The survey also found strong support for the right to opt out of having their data used by AI systems, 86%, as well as for monitoring for accuracy and reliability, 84%, training employees on safe and responsible AI use, 84%, allowing humans to override the system’s recommendations and output, 84%, and effective AI laws or regulations, 84%. The poll also found that the clear majority, 74%, support third party independent assurance for AI systems. 

“Employees are asking for greater investments in AI training and the implementation of clear governance policies to bridge the gap between AI’s potential and its responsible use,” said Bryan McGowan, trusted AI leader for KPMG. “It’s not enough for AI to simply work; it needs to be trustworthy. Building this strong foundation is an investment that will pay dividends in future productivity and growth.”

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PCAOB wants examples of CAMs and KAMs

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The Public Company Accounting Oversight Board’s Investor Advisory Group is asking for examples of critical audit matters or key audit matters that can be used for analysis.

The PCAOB’s Office of the Investor Advocate released an advisory last week asking the public to submit examples to the Investor Advisory Group by June 30. 

The nominations can come from public company issuers (both management and boards), auditors, financial analysts and investors. They’re looking for the most decision useful CAM or KAM contained in public company audit reports included in the 2024 Form 10-Ks and Form 20-Fs. The PCAOB began requiring the disclosure of CAMs in 2019, while the International Auditing and Assurance Standards Board began requiring KAMs disclosures in 2016.

The IAG plans to choose what they believe to be the top three decision useful CAMs or KAMs for 2024 among those nominated. The CAMs or KAMs selected will be identified and discussed in an IAG report expected to be issued publicly later this year.

Each nomination (which may be submitted anonymously) should include an explanation (maximum five hundred words) of why the nominated CAM or KAM provides decision useful information to investors.

The IAG has asked the public to provide submissions to the IAG by June 30, 2025. For more details, see the IAG announcement available here. A similar announcement went out last year.

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IRS reduced workforce 11% so far, TIGTA reports

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More than 11,400 Internal Revenue Service employees have either received termination notices as probationary employees or voluntarily resigned, representing an 11% reduction to the agency’s workforce, according to a report released Monday by the Treasury Inspector General for Tax Administration. 

In February, the IRS had around 103,000 employees, but that number has dropped by about 11% due to a series of executive orders from President Trump since his inauguration in January and the downsizing instigated by the Elon Musk-led Department of Government Efficiency, also known as the U.S. DOGE Service. Specifically, 7,315 probationary employees received termination notices, according to the report, and 4,128 employees were approved to accept the Deferred Resignation Program, a voluntary buyout program offered by the Trump administration, which has been rolled out in phases to IRS employees amid court challenges and appeals. Another 522 employees are pending approval under the program.

Monday’s report was TIGTA’s first on IRS workforce reductions and it focuses on the probationary employees identified for termination and the employees who voluntarily participated in the initial Deferred Resignation Program. TIGTA plans to periodically update the report to highlight further reductions, including the impacts of the second Deferred Resignation Program and Reductions in Force. The DRP allowed federal employees to voluntarily resign with pay through Sept. 30, 2025.  

In conjunction with the reduction in force, the IRS is offering three voluntary separation programs: the Treasury Deferred Resignation Program will mirror the benefits of the first DRP offering; the Voluntary Separation Incentive Payment; and the Voluntary Early Retirement Authority. In April, the IRS extended the TDRP offer to its employees. According to the IRS, over 23,000 employees have applied for the TDRP, and 13,124 were approved as of April 22. 

The report includes a look at the IRS business units affected by the layoffs and voluntary departures. The separations disproportionately impacted employees in certain positions. For example, approximately 31% of revenue agents left the IRS under the program, while 5% of information technology management departed. Revenue agents conduct examinations and audits by reviewing the financial records of individuals and businesses to verify what is reported, and they can work in several IRS business units examining different types of taxpayers. 

The Tax-Exempt/Government Entities division lost 31% of its staff, representing 694 employees, while the Large Business and International division lost 25%, or 1,733 employees. The Small Business/Self-Employed division lost 23% of its staff, or 5,765 employees. In contrast, 7% of the Human Capital Office (207 employees), 5% of IT (450 employees) and 4% of taxpayer services (1,714 employees) were affected.

In March, a federal court ruled that the probationary employees needed to be reinstated. The IRS recalled the terminated employees but put them on paid administrative leave. There have since been various court cases challenging the terminations and reinstatements. “Currently, it is unclear what the final disposition will be for probationary employees who received termination notices.” 

Most of the 7,315 probationary employees who received termination notices had less than one year experience with the IRS, according to the report, and 6,669 employees had one year of service or less, while 615 employees had between one and five years of service, and 31 employees had more than five years of service. 

“The termination of probationary employees will have a greater impact on certain age groups within the IRS workforce,” said the report. The probationary employees who received termination notices tended to be under the age of 40, including 549 probationary employees who were less than 25 years old, representing 14% of all IRS employees in that age group. 

Various estimates have been given of the number of IRS employees who will ultimately be affected by the layoffs, ranging from about 20% to 50%. The budget proposal released last week by the Trump administration would cut $2.5 billion from the IRS budget, following on the heels of clawbacks of about half of the $80 billion in extra funding that was supposed to be provided to the IRS under the Inflation Reduction Act of 2022.

Amid all the turmoil this year, the IRS has also seen a number of high-profile departures, including former commissioner Danny Werfel and former acting commissioners Douglas O’Donnell, Melanie Krause and Gary Shapley.

Some former IRS employees and government accountants may be attractive hires by accounting firms and departments that need to fill their ranks amid the ongoing talent shortage.

“We’re certainly seeing more interest in the hiring of former IRS employees and government accountants in conversations we’re having with clients, and this tracks given the current talent shortage in both the finance and accounting fields,” said Kyle Allen, executive vice president of sales and recruiting for Vaco by Highspring, a recruiting and staffing firm. “These folks bring strong regulatory and audit experience to the table, and their insider knowledge of tax compliance is a big plus for private companies. They can often jump into roles like compliance or advisory work quickly, which is a huge benefit. It’s not a silver bullet for the talent gap, but having more qualified professionals in the mix is definitely a step in the right direction.” 

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