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    Why America’s controls on sales of AI tech to China are so leaky

    GINA RAIMONDO seemed frustrated when she took the stage at the Reagan National Defence Forum in California in December. The Department of Commerce, which she leads, had just tightened restrictions on the sale of American semiconductors to China. But Nvidia, the world’s most valuable chipmaker, had immediately started developing a new, slightly less powerful artificial-intelligence (AI) chip for the Chinese market, to which the restrictions would not apply. “If you redesign a chip…that enables [China] to do AI, I’m going to control it the very next day,” Ms Raimondo warned.That was bombastic, given that it had taken her department a full year to rework the restrictions to cut off Nvidia’s previous workaround. But America’s five-year campaign against Chinese technology is intensifying. Earlier this month it was reported that Jensen Huang, Nvidia’s chief executive, and two fellow chip bosses had been summoned to testify in Congress about their Chinese business. On January 19th ABB, a Swiss industrial group, revealed that American lawmakers were investigating its links with China. ABB said it was co-operating with the investigation; Nvidia has said that it is working closely with the government to ensure compliance with the export controls. Neither Democrats nor Republicans are likely to relent. In a presidential-election year Joe Biden, the unpopular Democratic president, cannot afford to look weak on China. His Republican predecessor and main rival, Donald Trump, has long been America’s China-basher-in-chief. China hawks in Washington want to stymie Chinese efforts both to get around the rules and to recreate the necessary technological capabilities at home. However, the mixed record of export controls so far shows why harsher measures will be difficult to design—and not necessarily more successful.China has found some ways to work around the existing controls. To Ms Raimondo’s chagrin, for instance, it is possible to train AI models using chips that are not necessarily at the cutting edge, so long as you have enough of them. If the sale of any chip which can “do AI” is to be banned, as she implies, America must restrict the flow of a much broader array of chips to China.image: The EconomistIt is hard to know just how much broader. Trade statistics do not break out the graphics processing units (GPUs) used to train and run AI models from the larger flow of integrated circuits. But a sense of the scale of such a ban can be gleaned by examining the financial statements of Nvidia, which sells a range of GPUs. It has earned between 21% and 26% of its revenues from China over the past few years. In the nine months to October the company took in $8.4bn from the Chinese market. Almost all of Nvidia’s products can be used to “do AI”. Mr Huang has said that his firm has no “contingency” for being cut off from China.Another difficulty for America stems from enforcement. The Department of Commerce is empowered to punish any transgressions it discovers. Last year it fined Seagate, a hard-drive manufacturer, $300m for allegedly breaching export controls by sending components to Huawei, a blacklisted Chinese tech champion. But it is the chip firms themselves that are largely responsible for enforcement. That includes ensuring that their customers are not, in fact, a buying front for Chinese entities with which trade is prohibited. This is hard. “You have coin-sized devices and technologies that are widely commercially available, and indistinguishable from the controlled technologies, distributed around the planet,” says Kevin Wolf, an American lawyer and former official.The result is a situation ripe for smuggling, which experts say is impossible to quantify but doubtless rife. It also encourages transshipment. Firms in countries that have not signed on to the American export-control regime, like Singapore, can buy chips and send them on to Chinese entities without the knowledge of the American firms or the Department of Commerce. Nvidia’s most recent quarterly earnings for 2023 show that its sales to Singapore grew by a factor of five over the same period in 2022, faster than anywhere else.Of all customers in China, the one best placed to use such workarounds to get the chips it needs is the People’s Liberation Army. If one of America’s main aims is to deny China access to advanced technology for developing military AI, it is probably failing. Instead the controls are raising the costs to Chinese buyers of acquiring American AI chips. That in turn is aligning China’s tech sector with its government’s policy of indigenous technological development. Chinese tech giants used to prefer buying higher-quality American technology to investing in research and development. Their incentives have changed.The clearest evidence that this is happening comes from Huawei. The company, whose core business is making telecoms gear, was first targeted by America in 2019 for allegedly breaching sanctions on Iran. A measure called the “foreign direct product rule” (FDPR) cut Huawei off from any chips that had been produced using American technology (which is to say virtually all sophisticated ones). In 2022 the FDPR was deployed against the entire Chinese AI industry, and broadened in October to encompass a wider range of AI chips and chipmaking tools, and to require licences to ship products to countries such as the United Arab Emirates (albeit not Singapore) that are thought to serve as middlemen for Chinese buyers.Before it was blacklisted, Huawei had its microprocessors manufactured by TSMC, a Taiwanese contract chipmaker. It spent $5.4bn on TSMC-made chips in 2020, before America’s export controls extended to the Taiwanese firm. Now it is doing more business with SMIC, China’s biggest chipmaker. SMIC’s capabilities were thought to be many years behind those of TSMC. But last year it came to light that the company was making a Huawei-designed AI chip, the Ascend (and a smartphone chip, the Kirin, which raised many Western eyebrows after Huawei unexpectedly launched a handset containing it in September).With their access to foreign chips curtailed, Chinese AI companies are now turning to Huawei and SMIC for chips. China’s government is encouraging them, and continuing to shower the industry with subsidies in the hope of creating an industry to rival Nvidia and other American companies. Export controls have, in effect, forced China to embrace import substitution.The designers of America’s controls foresaw some of this. That is why, from the start, they also targeted China’s ability to recreate advanced technology at home. The controls restrict trade not just in chips themselves but also in tools used to make them. That has involved bringing on board allies such as the Netherlands and Japan, home to many of the toolmakers. As with chips, the tool controls place limits on the sophistication of the equipment that can be sold to Chinese buyers. And as with chips, just how sophisticated a tool has to be to fall under the controls has been the subject of intense debate.The critical machines are those used to etch transistors onto silicon wafers. The most cutting-edge equipment of this sort is made and sold exclusively by ASML, a Dutch company, and has been blocked from China for years. But older generations of such lithography tools can still be sold there. ASML’s sales to China have grown dramatically over the past year, as have those of companies that produce other chipmaking tools. In the most recent quarter Chinese sales made up almost half of ASML’s total revenue. Other toolmakers also sell lots of their wares to China (see chart).But, as with chips, export controls are giving Chinese toolmakers a strong incentive to invest in catching up technologically with foreign rivals. Already domestic toolmakers’ sales are growing. On January 15th one of them, NAURA, which manufactures other etching tools, said it expected its revenue to have risen by almost 50% in 2023.America’s campaign against Chinese technology may, then, be both ineffective and counterproductive. Ineffective, because China is adept at exploiting loopholes. And counterproductive, because it is leading to the creation of a more sophisticated Chinese industry. It may also be predicated on a wrong assumption: that the future economic and military balance of power depends on AI, and that AI depends on computing power. “Both of these are guesses,” points out Chris Miller, a historian of technology at Tufts University in Boston. It is far from clear that AI will have strategic importance. And even if it does, computing power may not be the overriding factor in its development. As Mr Miller points out, oomph is expensive, so AI developers will try to use it as sparingly as possible.Despite all this, America seems likely to toughen up its export controls on ai chips, as Ms Raimondo all but promised in December. And Republican lawmakers are eyeing more expansive controls still. Some of them see a new threat coming from the other end of the sophistication spectrum, which is less about China’s techno-military might and more about its economic power. Chips are required in growing volumes as components in everything from electric vehicles and heat pumps to electricity grids. By 2027 China could be making almost 40% of such semiconductors, reckons TrendForce, a research firm. The current export controls do nothing to curb China’s dominance of this business, which uses a lot of older American technology.Three congressional Republicans, Mike Gallagher, Elise Stefanik and Michael McCaul, are thus working on a bill which will force the commerce department to cut China off from all American chip technology, not just the most advanced stuff. Gaining support from allies for such an extreme policy will be hard. Japanese and Dutch businesses—and their governments—rankle even at the porous controls that are in place today. But if Mr Trump, an alliance sceptic, returns to power, the lack of support is unlikely to matter one bit. ■ More

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    Donald Trump’s tax cuts would add to American growth—and debt

    OF THE MANY differences between Donald Trump and Joe Biden, perhaps the easiest to quantify has to do with tax policy. Mr Biden has long pledged to raise taxes on both the wealthy and companies. Mr Trump’s main legislative achievement from his presidency was a tax-cut package in 2017. Unsurprisingly, many corporate bosses prefer Mr Trump on taxes. The big economic question is whether they are being short-sighted and overlooking America’s fiscal health, which they also profess to care about.When Mr Trump was elected in 2016, net federal debt was about 75% of GDP. When he left office in 2021, it was 97% of GDP. The Congressional Budget Office (CBO) forecasts that it is on track to hit an eye-watering 181% three decades from now. At that level the government’s annual interest payments are expected to exceed its combined spending on national defence, education and highways. That raises the risk of a financial crisis—hardly an ideal environment for business.image: The EconomistCritics of Mr Trump point to the debt trajectory on his watch as evidence of fiscal mismanagement and warn he would make things worse if elected for a second term. Many of his tax cuts are set to expire at the end of 2025 (the individual-income-tax rate for the highest earners will revert to 39.6% from 37%, for instance). If Mr Trump returns to office, he will try to make the cuts permanent. The CBO estimates that this would add $350bn or so to the deficit annually over the next decade, equivalent to 1% of GDP (see chart).Yet this line of criticism misses two important points. First, the accumulation of debt under Mr Trump largely stemmed from the stimulus launched soon after covid-19 struck, which countered some of the economic drag from the pandemic. The comparison is unflattering for Mr Biden: he expanded the stimulus in 2021 when there was less need for extra fiscal support from the government, and this additional spending helped stoke inflation.Second, it is not enough to look at taxes alone. The interaction between taxation and growth lies at the heart of debt sustainability. “The overriding driver of our fiscal problems is that we don’t have enough growth,” says Stephen Moore, who helped design Mr Trump’s tax cuts in 2017. “We want to bring jobs and capital here, and yes, we can grow out of this.” Many economists dismiss such talk as hyperbole. After all, in the 2016 election, Mr Trump vowed that deregulation and tax cuts would unleash a torrent of economic growth; in reality America’s growth rate ticked up just slightly in the two years after his tax law went into effect, before covid erupted. But this extra activity did help to boost America’s fiscal revenues, offsetting some of the cost of the tax cuts. “Thinking you should tax away to a lower deficit is misleading,” says Tomas Philipson, an economic adviser in Mr Trump’s administration.Mr Biden’s approach offers a counterpoint. He has called for a range of tax increases, including raising the corporate rate from 21% to 28%. “That may be counterproductive,” says Erica York of the Tax Foundation, a think-tank. Ms York and her colleagues estimate that Mr Biden’s tax proposals would lower America’s debt-to-GDP ratio but also shrink the economy by 1.3%, whereas Mr Trump’s tax cuts would, if permanent, push up debts but expand long-run GDP by 1.2%. It is not a simple trade-off either way.A true clean-up of America’s finances would require reforms to big social programmes, especially income support for pensioners and state-provided medical insurance, which together account for nearly half of federal spending. Here, Mr Trump and Mr Biden look indistinguishable. Both are silent on serious changes to these programmes, because both are well aware how deeply unpopular any cuts would be. ■To stay on top of the biggest stories in business and technology, sign up to the Bottom Line, our weekly subscriber-only newsletter. More

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    Donald Trump’s populism is turning off corporate donors

    “GO WOKE, GO broke,” intone Republicans fed up with socially aware American firms. But it is the politicians who are paying for their own ideological zeal. In 2000 and 2004 corporate political-action committees (PACs) gave them twice as much as they gave Democrats. After divvying up donations nearly evenly between the two parties in 2008 (perhaps thanks to a charismatic newcomer named Barack Obama), in 2012 and 2016 they favoured Republican candidates again, by a factor of nearly two to one. Company bosses, too, preferred conservatives. A paper in 2019 found that between 2000 and 2017 CEOs of firms in the S&P 1500 index directed two-thirds of their giving to the right.In the 2019-20 election cycle, by contrast, corporate PAC donations to Republicans fell by a quarter, compared with four years earlier. One explanation is that donors were unhappy with the party’s populist shift away from trade, immigration and international co-operation. After Mr Trump’s supporters stormed the Capitol on January 6th 2021, dozens of firms halted donations to Republican lawmakers who voted against certifying Joe Biden’s 2020 election win. According to Jeffrey Sonnenfeld of the Yale School of Management, more than three-quarters of these firms were still withholding such donations a year later.image: The EconomistPreliminary figures suggest this will be another disappointing year for Republican fundraisers. Data from the Federal Election Commission show that in the first 11 months of this presidential cycle Republicans got a third less from corporate PACs than in 2020 and half as much as in 2016 (see chart). Comcast, a cable operator, and Northrop Grumman, an armsmaker, have cut their cheques by a third since 2020. ExxonMobil, an oil giant, has halved donations. Top-spending trade groups, such as the National Beer Wholesalers Association and the National Association of Realtors, gave Republicans less than four years ago.The unspent money may not go to Democrats. According to End Citizens United, an advocacy group, 73 mostly Democratic congressmen have sworn off corporate PACs entirely, up from 56 five years ago. America Inc is always looking for friends in Washington. In the post-Trump era, it is finding itself alone. ■To stay on top of the biggest stories in business and technology, sign up to the Bottom Line, our weekly subscriber-only newsletter. More

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    The bosses of OpenAI and Microsoft talk to The Economist

    One reason the world’s corporate elite jet off to Davos each year is to check in on important relationships, be it with critical suppliers or big-spending customers. This year many are wondering about their relationships with Microsoft and OpenAI, the startup behind ChatGPT. The companies are the world’s most prominent purveyors of artificial intelligence (AI), which has the business world giddy. OpenAI exclusively licenses its technology to Microsoft. The software giant is busy injecting it into products from Word to Windows.The relationship between the two companies is also under scrutiny. In November Sam Altman, OpenAI’s boss, was fired by his board, only to be reinstated days later. Satya Nadella, Microsoft’s chief, whose company reportedly owns 49% of the startup, supported Mr Altman during the ordeal. The kerfuffle still left many wondering about risks to what Mr Altman has called the “best bromance in tech”. When the pair sat down with The Economist in Davos on January 17th in their first joint public appearance since November, they were upbeat and, for the most part, singing from the same hymn sheet. Their partnership is “great” and “unbelievable”. They often remarked on how much they agree.image: The EconomistOne concurrence was that 2024 will be a big year for AI. Microsoft’s huge bet on the technology this month helped it to dethrone Apple as the world’s biggest firm (see chart). Today it is closing in on a value of $3trn. Its forthcoming quarterly earnings will give the first clear indication of how much corporate customers are willing to spend on AI. Although some observers have been underwhelmed by the progress made by OpenAI’s latest model, GPT-4, Mr Altman hints at new capabilities, such as greater ability to understand and produce audio. Mr Nadella says models will get better at all tasks, from writing essays to churning out computer code. “I really think the magic of this is the generality,” says Mr Altman.[embedded content]The general-purpose nature of AI is one reason why Mr Altman thinks of the technology as “a new computer”. Mr Nadella sees it in similar terms. He argues that “since the PC, we have not had sort of the real driver of getting more things done with less drudgery.” Microsoft’s supply-chain team already use AI to help model the impact of their decisions, without having to wait for the finance department to do this at the end of the quarter.AI’s ability to replace skilled workers, such as accountants, raises concerns about its impact on jobs. An IMF paper published on January 14th calculates that the technology could reshape labour markets. Those with college educations are both most exposed to disruption but also best positioned to reap the rewards of a new wave of innovation. Both Messrs Nadella and Altman are convinced that the technology will create more new jobs than it destroys. Mr Nadella thinks it may make the labour market more dynamic, by allowing people to learn new skills and switch jobs faster. That, he says, will cause some wages to go up and others to be “commoditised” (in other words, decline).That disruption is likely to be all the more dramatic with the advent of artificial general intelligence (agi), which, if it is achieved, would be able to outperform humans on most intellectual tasks. AI doomers think this could generate all manner of ills, from economic chaos to a robot apocalypse. Nonetheless, producing AGI is the stated goal of OpenAI. Mr Altman describes progress towards this aim as “surprisingly continuous”. He likens it to the evolution of the iPhone, where no single new model represented a big leap but the technological advance from the first version to the latest one has been extraordinary. For that reason he expects the ado caused by the first AGI to be short-lived. “The world will have a two-week freakout and then people will go on with their lives,” he says.Neither Mr Nadella nor Mr Altman will say when AGI might come around. Mr Nadella believes that by the time it does, its use will be regulated: “Nation states are absolutely going to have a say on…what is ready for deployment or not.” Mr Altman broadly agrees, but is a bit more circumspect. Regulators, he notes, will have to weigh the risks and capabilities of AI—as with aeroplanes, which create enormous benefits despite occasionally crashing. Likewise, AI’s “tremendous upside” means that halting progress would be a mistake. Safety is not a binary question of using or not using a technology; it is “the many little decisions along the way”. He points to the launch of GPT-4, which was pushed back by seven or eight months.Mr Altman, ever the techno-optimist, insists that “technological prosperity is the most important ingredient to a much better future”. Mr Nadella, a corporate veteran, strikes a more businesslike note. He talks about the 20 meetings he had earlier in the day with executives from a range of industries, talking to them “about something that they are doing where I can have some input”. He is, in other words, firming up Microsoft’s relationships—as befits a big boss in Davos. ■ More