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DeepSeek’s overnight fame strains its systems, draws attacks

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Talk of an artificial-intelligence upstart in China behind a formidable ChatGPT rival had been building for days. 

At the World Economic Forum in Davos last week, some mentioned Hangzhou-based DeepSeek and its recently released R1 model as a prime reason for countries such as the U.S. to be doubling down on AI advancements. On tech chat boards, engineers had begun comparing its programming performance to leading models from the likes of OpenAI and Microsoft Corp. Its product quietly rose through the ranks of top performers on a UC Berkeley-affiliated AI leaderboard. 

Then, within the past 36 hours, interest in the startup exploded. Silicon Valley heavyweights including investor Marc Andreessen and AI godfather and chief Meta Platforms Inc. scientist Yann LeCun began piling into the conversation, with Andreessen calling DeepSeek’s model “one of the most amazing and impressive breakthroughs” he’s ever seen.  

By the end of the weekend, DeepSeek’s AI assistant had rocketed to the top of Apple Inc.’s iPhone download charts and ranked among the top downloads on Google’s Play Store, straining the startup’s systems so much that the service went down for more than an hour. The company was eventually forced to limit signups to those with mainland China telephone numbers — but claimed the move was the result of “large-scale malicious attacks” on its services.

The fallout from the seemingly overnight surge in interest around DeepSeek was swift, and severe: The company’s AI model, which it claims to have developed at a fraction of the cost of rivals without meaningfully sacrificing performance, drove a nearly $1 trillion rout in U.S. and European technology stocks as investors questioned the spending plans of some of America’s biggest companies. The share plunge in AI chipmaker Nvidia Corp. alone erased roughly $279 million in market value, the biggest wipeout in U.S. stock-market history. 

By Monday afternoon, it was clear the overwhelming interest in DeepSeek’s services was taking a toll on the company’s system. “Currently, only registration with a mainland China mobile phone number is supported,” the startup said on its status page. DeepSeek did not specify whether the signup curbs are temporary or how long they will last.

It was the company’s longest major outage since it started reporting its status. Unlike some rivals, DeepSeek’s assistant shows its work and reasoning as it addresses a user’s written query or prompt. Reviews on Apple’s app store and on Alphabet Inc.’s Android Play Store praised that transparency.

Founded by quant fund chief Liang Wenfeng, DeepSeek’s open-sourced AI model is spurring a rethink of the billions of dollars that companies have been spending to stay ahead in the AI race. 

“While it remains to be seen if DeepSeek will prove to be a viable, cheaper alternative in the long term, initial worries are centered on whether U.S. tech giants’ pricing power is being threatened and if their massive AI spending needs re-evaluation,” said Jun Rong Yeap of IG Asia.

Like all other Chinese-made AI models, DeepSeek self-censors on topics deemed politically sensitive in China. Unlike ChatGPT, DeepSeek deflects questions about Tiananmen Square, President Xi Jinping or the possibility of China invading Taiwan. That may prove jarring to international users, who may not have come into direct contact with Chinese chatbots earlier. 

The initial success provides a counterpoint to expectations that the most advanced AI will require increasing amounts of computing power and energy —- an assumption that has driven shares in Nvidia and its suppliers to all-time highs.

The exact cost of development and energy consumption of DeepSeek are not fully documented, but the startup has presented figures that suggest its cost was only a fraction of OpenAI’s latest models. That a small and efficient AI model emerged from China, which has been subject to escalating U.S. trade sanctions on advanced Nvidia chips, is also challenging the effectiveness of such measures.

“The U.S. is great at research and innovation and especially breakthrough, but China is better at engineering,” computer scientist Kai-Fu Lee said earlier this month at the Asian Financial Forum in Hong Kong. “In this day and age, when you have limited compute power and money, you learn how to build things very efficiently.”

For its part, Nvidia — the biggest provider of chips used to train AI software — described DeepSeek’s new model as an “excellent AI advancement” that fully complies with the U.S. government’s restrictions on technology exports. The startup’s work “illustrates how new models can be created” using a technique known as test time scaling, the company said. 

Nvidia’s statement appeared to dismiss some analysts’ and experts’ suspicions that the Chinese startup couldn’t have made the breakthrough it has claimed. The company also pointed out that inference, the work of actually running AI models and using it to process data and make predictions, nonetheless requires a lot of its products.

“Inference requires significant numbers of Nvidia GPUs and high-performance networking,” the company said.

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Accounting

Accountants tackle tariff increases after ‘Liberation Day’

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President Trump’s imposition of steep tariffs on countries around the world is likely to drive demand for accounting experts and consultants to help companies adjust and forecast the ever-changing percentages and terms.

On April 2, which Trump dubbed “Liberation Day,” he announced a raft of reciprocal tariffs of varying percentages on trading partners across the globe and signed an executive order to put the import taxes into effect. Finance executives have been gaming out how to respond to the potential tariffs that Trump has been threatening to impose since before he was re-elected, far exceeding those he actually levied during his first term.

“A lot of CFOs are thinking they are going to pass along the tariffs to their customer base, and about another half are thinking we’re going to absorb it and be more creative in other ways we can save money inside our company,” said Tom Hood, executive vice president for business engagement and growth at the AICPA & CIMA. 

The AICPA & CIMA’s most recent quarterly economic outlook survey in early March polled a group of business executives who are also CPAs and found that 85% said tariffs were creating uncertainty in their business plans, while 14% of the business execs saw potential positive impacts for their business from the prospect of tariffs as increased cost of competing products would benefit them, and 59% saw potential negative impacts to their businesses from the prospect of tariffs. This in turn has led to a dimming outlook on the economy among the executives polled.

“CFOs in our community are telling us that, effectively, they’re looking at this a lot like what happened over COVID with a big disruption out of nowhere,” said Hood. “This one, they could see it coming. But the point is they had to immediately pivot into forecasting and projection with basically forward-looking financial analysis to help their companies, CEOs, etc., plan for what could be coming next. This is true for firms who are advising clients. They might be hired to do the planning in an outsourced way, if the company doesn’t have the finance talent inside to do that.”

The tariffs are not set in stone, and other countries are likely to continue to negotiate them with the U.S., as Canada and Mexico have been doing in recent months.

“The one thing that I think we can all count on is a certain amount of uncertainty in this process, at least for the next several months,” said Charles Clevenger, a principal at UHY Consulting who specializes in supply chain and procurement strategy. “It’s hard to tell if it’s going to go beyond that or not, but it certainly feels that way.”

Accountants will need to make sure their companies and clients stay compliant with whatever conditions are imposed by the U.S. and its trading partners. “This is a more complex tariff environment than most companies have experienced in the past, or that seems to be where we’re headed, and so ensuring compliance is really important,” said Clevenger.

Big Four firms are advising caution among their clients.

“Our point of view is we’re advising all of our clients to do a few things right out of the gate,” said Martin Fiore, EY Americas deputy vice chair of tax, during a webinar Thursday. “Model and analyze the trade flows. Look at your supply chain structures. Understand those and execute scenario planning on supply chain structures that could evolve in new environments. That is really important: the ability for companies to address the questions they’re getting from their C-suite, from their stakeholders, is critical. Every company is in a different spot according to the discussions we’ve had. We just are really emphasizing, with all the uncertainty, know your structure, know your position, have modeling put in place, so as we go through the next rounds of discussions over many months, you have an understanding of your structure.”

Scenario planning will be especially important amid all the unpredictability for companies large and small. “They’re going to be looking at all the different countries they might have supply chains in,” said Hood. “And then even the smaller midsized companies that might not be big, giant global companies, they might be supplying things to a big global company, and if they’re in part of that supply chain, they’ll be impacted through this whole cycle as well.”

Accountants will have to factor the extra tariffs and import taxes into their costs and help their clients decide whether to pass on the costs to customers, while also keeping an eye out for pricing among their competitors and suppliers.

“It’s just like accounting for any goods that you’re purchasing,” said Hood. “They often have tariffs and taxes built into them at different levels. I think the difference is these could be bigger and they could be more uncertain, because we’re not even sure they’re going to stick until you see the response by the other countries and the way this is absorbed through the market. I think we’re going through this period of deeper uncertainty. Even though they’re announced, we know that the administration has a tendency to negotiate, so I’m sure we’re going to see this thing evolve, probably in the next 30 days or whatever. The other thing our CFOs are reminding us of is that the stock market is not the economy.”

Amid the market fluctuations, companies and their accountants will need to watch closely as the rules and tariff rates fluctuate and ensure they are complying with the trading rules. “Do we have country of origin specified properly?” said Clevenger. “Are we completing the right paperwork? When there are questions, are we being responsive? Are we close to our broker? Are we monitoring our customs entries and all the basic things that we need to do? That’s more important now than it has been in the past because of this increase in complexity.”

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Accounting

How to use opportunity zone tax credits in the ‘Heartland’

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A tax credit for investments in low-income areas could spur long-term job creation in overlooked parts of the country — with the right changes to its rules, according to a new book.

The capital gains deferral and exclusions available through the “opportunity zones” credit represent one of the few areas of the Tax Cuts and Jobs Act of 2017 that drew support from both Republicans and Democrats. The impact of the credit, though, has proven murky in terms of boosting jobs and economic growth in the roughly 7,800 Census tracts qualifying based on their rates of poverty or median family incomes. 

Altering the criteria to focus the investments on “less traditional real estate and more innovation infrastructure” and ensuring they reach more places outside of New York and California could “refine the where and the what” of the credit, said Nicholas Lalla, the author of “Reinventing the Heartland: How One City’s Inclusive Approach to Innovation and Growth Can Revive the American Dream” (Harper Horizon). A senior fellow at an economic think tank called Heartland Forward and the founder of Tulsa Innovation Labs, Lalla launched the book last month. For financial advisors and their clients, the key takeaway from the book stems from “taking a civic minded view of investment” in untapped markets across the country, he said in an interview.

“I don’t want to sound naive. I know that investors leveraging opportunity zones want to make money and reduce their tax liability, but I would encourage them to do a few additional things,” Lalla said. “There are communities that need investment, that need regional and national partners to support them, and their participation can pay dividends.”

READ MORE: Unlock opportunities for tax incentives in opportunity zones

A call to action

In the book, Lalla writes about how the Innovation Labs received $200 million in fundraising through public and private investments for projects like a startup unmanned aerial vehicle testing site in the Osage Nation called the Skyway36 Droneport and Technology Innovation Center. Such collaborations carry special relevance in an area like Tulsa, Oklahoma, which has a history marked by the wealth ramifications of the Tulsa Race Massacre of 1921 and the government’s forced relocation of Native American tribes in the Trail of Tears, Lalla notes.

“This book is a call to action for the United States to address one of society’s defining challenges: expanding opportunity by harnessing the tech industry and ensuring gains spread across demographics and geographies,” he writes. “The middle matters, the center must hold, and Heartland cities need to reinvent themselves to thrive in the innovation age. That enormous project starts at the local level, through place-based economic development, which can make an impact far faster than changing the patterns of financial markets or corporate behavior. And inclusive growth in tech must start with the reinvention of Heartland cities. That requires cities — civic ecosystems, not merely municipal governments — to undertake two changes in parallel. The first is transitioning their legacy economies to tech-based ones, and the second is shifting from a growth mindset to an inclusive-growth mindset. To accomplish both admittedly ambitious endeavors, cities must challenge local economic development orthodoxy and readjust their entire civic ecosystems for this generational project.”

READ MORE: Relief granted to opportunity zone investors

Researching the shortcomings

And that’s where an “opportunity zones 2.0” program could play an important role in supporting local tech startups, turning midsized cities into innovation engines and collaborating with philanthropic organizations or the federal, state and local governments, according to Lalla. 

In the first three years of the credit alone, investors poured $48 billion in assets into the “qualified opportunity funds” that get the deferral and exclusions for certain capital gains, according to a 2023 study by the Treasury Department. However, those assets flowed disproportionately to large metropolitan areas: Almost 86% of the designated Census tracts were in cities, and 95% of the ones receiving investments were in a sizable metropolis. 

Other research suggested that opportunity-zone investments in metropolitan areas generated a 3% to 4.5% jump in employment, compared to a flat rate in rural places, according to an analysis by the nonpartisan, nonprofit Tax Foundation.

“It creates a strong incentive for taxpayers to make investments that will appreciate greatly in market value,” Tax Foundation President Emeritus Scott Hodge wrote in the analysis, “Opportunity Zones ‘Make a Good Return Greater,’ but Not for Poor Residents” shortly after the Treasury study. 

“This may be the fatal flaw in opportunity zones,” he wrote. “It explains why most of the investments have been in real estate — which tends to appreciate faster than other investments — and in Census tracts that were already improving before being designated as opportunity zones.”

So far, three other research studies have concluded that the investments made little to no impact on commercial development, no clear marks on housing prices, employment and business formation and a notable boost in multifamily and other residential property, according to a presentation last September at a Brookings Institution event by Naomi Feldman, an associate professor of economics at the Hebrew University of Jerusalem who has studied opportunity zones. 

The credit “deviates a lot from previous policies” that were much more prescriptive, Feldman said.

“It didn’t want the government to have a lot of oversay over what was going on, where the investment was going, the type of investments and things like that,” she said. “It offered uncapped tax incentives for private individual investors to invest unrealized capital gains. So this was the big innovation of OZs. It was taking the stock of unrealized capital gains that wealthy individuals, or even less wealthy individuals, had sitting, and they could roll it over into these funds that could then be invested in these opportunity zones. And there were a lot of tax breaks that came with that.”

READ MORE: 3 oil and gas investments that bring big tax savings

A ‘place-based’ strategy

The shifts that Lalla is calling for in the policy “could either be narrowing criteria for what qualifies as an opportunity zone or creating force multipliers that further incentivize investments in more places,” he said. In other words, investors may consider ideas for, say, semiconductor plants, workforce training facilities or data centers across the Midwest and in rural areas throughout the country rather than trying to build more luxury residential properties in New York and Los Angeles.

While President Donald Trump has certainly favored that type of economic development over his career in real estate, entertainment and politics, those properties could tap into other tax incentives. And a refreshed approach to opportunity zones could speak to the “real innovation and talent potential in midsized cities throughout the Heartland,” enabling a policy that experts like Lalla describe as “place-based,” he said. With any policies that mention the words “diversity, equity and inclusion” in the slightest under threat during the second Trump administration, that location-based lens to inclusion remains an area of bipartisan agreement, according to Lalla.

“We can’t have cities across the country isolated from tech and innovation,” he said. “When you take a geographic lens to economic inclusion, to economic mobility, to economic prosperity, you are including communities like Tulsa, Oklahoma. You’re including communities throughout Appalachia, throughout the Midwest that have been isolated over the past 20 years.”

READ MORE: Can ESG come back from the dead?

Hope for the future?

In the book, Lalla compares the similar goals of opportunity zones to those of earlier policies under President Joe Biden’s administration like the Inflation Reduction Act, the CHIPS and Science Act, the American Rescue Plan and the Infrastructure Investment and Jobs Act.

“Together, these bills provided hundreds of millions of dollars in grant money for a more diverse group of cities and regions to invest in innovation infrastructure and ecosystems,” Lalla writes. “Although it will take years for these investments to bear fruit, they mark an encouraging change in federal economic development policy. I am cautiously optimistic that the incoming Trump administration will continue this trend, which has disproportionately helped the Heartland. For example, Trump’s opportunity zone program in his first term, which offered tax incentives to invest in distressed parts of the country, should be adapted and scaled to support innovation ecosystems in the Heartland. For the first time in generations, the government is taking a place-based approach to economic development, intentionally seeking to fund projects in communities historically disconnected from the nation’s innovation system and in essential industries. They’re doing so through a decidedly regional approach.”

Advisors and clients thinking together about aligning investment portfolios to their principles and local economies can get involved with those efforts — regardless of their political views, Lalla said.

“This really is a bipartisan issue. Opportunity zones won wide bipartisan approval,” he said. “Heartland cities can flourish and can do so in a complicated political environment.”

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Accounting

Ramp releases tool to detect fraudulent AI-generated receipts

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Ramp, a spend management solutions provider, released a new solution within 24 hours in direct response to recent advances in AI image generation that make it easy to create extremely convincing fake receipts that could be used for financial fraud. 

Dave Wieseneck, an “expert in residence” at Ramp who administers the company’s own instance of Ramp, noted that faking receipts is not a new practice. What’s changed is that, with the recent image generation update from OpenAI, it has now become much easier, making what may have once been a painstaking effort into a casual thing done in minutes.

“So while it’s always been possible to create fake receipts, AI has made it super duper easy, especially OpenAI with their latest model. So I think it’s just super easy now and anybody can do it, as opposed to experts that are in the know,” he said in an interview. 

Generated by ChatGPT

AI generated receipt

Rather than try to assess the image itself, the software looks at the file’s metadata for markers particular to generative AI systems. Once those markers are present, the software flags the receipt as a probable fake. 

“When we see that these markers are present, we have really high confidence of high accuracy to identify them as potentially AI generated receipts,” said Wieseneck. “I was the first person to test it out as the person that owns our internal instance of Ramp and dog foods the heck out of our product.” 

While the speed at which they produced this solution may be remarkable, he said it is part of the company culture. The team, especially small pods within it, will observe a problem and stop what they’re doing to focus on a specific need. They get a group together on a Slack channel, work through the problem, code it late at night and push it out in the morning. 

Wieseneck conceded it is not a total solution but rather a first line of defense to deter the casual fraudster. He compared it to locking your door before going out. If the front door is unlocked, a person can just stroll in and steal everything, but will likely give up if it is locked. A professional criminal with tons of breaking and entering experience, however, is unlikely to be deterred by a lock alone, versus a lock plus an alarm system plus an actual security guard. 

“But that doesn’t mean that you don’t lock your door and you don’t add pieces of defense to make it harder for people to either rob your house or, in this case, defraud your company,” he said.

This isn’t to say there’s no plans to bolster this solution further. After all, the feature is only days old. He said the company is already looking into things like pixel analysis and textual analysis of the document itself to further enhance its AI detection capabilities, though he stressed that they want to be very confident it works before pushing it out to customers. 

“We’re focused on giving finance teams confidence that legitimate receipts won’t be falsely flagged. So we want to tread carefully. We have lots of ideas. We’re going to work through them and kind of solve them in the same process we’ve always done here at Ramp,” he said. 

This is likely only the beginning of AI image generators being used to fake documentation. For instance, it has recently been found that bots are also very good at forging passports.

AI fraud ascendant

This speaks to an overall trend of AI being used in financial crimes which was highlighted in a recent report from financial and risk advisory solutions provider Kroll, which surveyed about 600 CEOs, chief compliance officers, general counsel, chief risk officers and other financial crime compliance professionals. What they found was that experts in this area are growing alarmed at the rising use of AI by cybercriminals and other bad actors, and few are confident their own programs are ready to meet this challenge. 

The poll found that 61% of respondents say use of AI by cybercriminals is a leading catalyst for risk exposure, such as through the generation of deep fakes and, likely, AI-generated financial documents. While 57% think AI will help against financial crime, 49% think it will hinder (Kroll said they are likely both right). 

“The rapid-fire adoption of AI tools can be a blessing and a curse when it comes to financial crime, providing new and more efficient ways to combat it while also creating new techniques to exploit the broadening attack surface — be it via AI-powered phishing attacks, deepfakes, or real-time mimicry of expected security configurations,” said the report. 

Yet, many professionals do not feel their current programs are up to the task. The rise in AI-guided fraud is part of an overall projected 71% increase in financial crime risks in 2025. Meanwhile, only 23% rate their compliance programs as “very effective” with lack of technology and investment named as prime reasons. Many also lack confidence in the governance infrastructure overseeing financial crime, with just 29% describing it as “robust.” 

They’re also not entirely convinced that more AI is the solution. The poll found that confidence in AI technology has dropped dramatically over the past two years: those who say AI tools have had a positive impact on financial crime compliance have gone from 39% in 2023 to only 20% today. Despite this, there remains heavy investment in AI. The poll found 25% already say AI is an established part of their financial crime compliance program, and 30% say they are in the early stages of adoption. Meanwhile, in the year ahead, 49% expect their organization will invest in AI solutions to tackle financial crime, and 47% say the same about their cybersecurity budgets. 

To help combat AI-enabled financial crime, Kroll recommended companies form cross-functional teams that go beyond IT and cybersecurity and involve those in AML, compliance, legal, product and senior management. Further, Kroll said there has to be focused, hands-on training with new AI tools that are updated and repeated as the organization implements new AI capabilities and the regulatory and risk landscape changes. Finally, to combat AI-related fraud, Kroll recommended companies maintain a “back to the basics” approach. Focus on fundamental human intervention and confirmation procedures — regardless of how convincing or time-sensitive circumstances appear.

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