How will declining immigration impact the US economy?

    Immigration to the US is expected to fall from the elevated levels of the past three years, declining to a pace slightly below the pre-pandemic average, according to Goldman Sachs Research. If that occurs, the impact on the economy is likely to be limited, though more significant restrictions on immigration by the Trump administration could have larger repercussions.  Net immigration is expected to slow to 750,000 per year, well below the pace of the last three years but only moderately below the normal pre-pandemic pace, Goldman Sachs Research economists Elsie Peng, David Mericle, and Alec Phillips write in the team’s report. In their baseline estimate, the GDP impact from changes in immigration is likely to be limited: The slower pace of immigration would contribute 30-40 basis points less to potential US GDP growth than the 2023-2024 pace, but it would be just 5 basis points less than the pre-pandemic pace. The team’s baseline outlook for reduced immigration is based on an expected increase in border security and other immigration control measures as well as a moderate increase in deportations. More significant measures by the Trump administration could reduce net immigration further and increase the impact on labor and the economy.  What does reduced US immigration mean for the job market? The impact from reduced immigration on wage growth and inflation should be modest now that the US labor market is back in balance, according to Goldman Sachs Research. At its peak, the boost to labor force growth from immigration was 100,000 per month above the normal pre-pandemic pace. It has since fallen to 40,000 above the typical level and is predicted to return to normal by early 2026. Goldman Sachs Research has argued that the US unemployment rate would stop rising and start falling because labor demand has been healthy all along: The layoff rate remains historically low and job openings are high, and the pace of labor force growth will be more manageable now that immigration is slowing. While our economists think the natural path for the unemployment rate is a little lower — the unemployment rate has fallen slightly over the last two months to 4% — they note that the crackdown on unauthorized immigrant workers could cause more of them to end up unemployed. These dynamics might not show up in official statistics, as immigrants who are concerned about going to work might also be unwilling to respond to employment surveys.  Reduced immigration will have the largest impact on agriculture and construction The US government’s changes in immigration enforcement target asylum seekers, parolees, people receiving Temporary Protected Status, and those crossing the border illegally. Reductions in numbers for this group, rather than visa recipients or green card holders, made up the sharp decline in net immigration that was evident by the end of last year. Immigrants other than visa and green card holders account for 4%-5% of the total US workforce, and they make up 15%-20% in some industries, such as crop production, food processing, and construction. “Abruptly losing a significant share of these workers could be very disruptive for many of these industries,” the team writes. There could be temporary production bottlenecks, shortages, and price increases. In the team’s baseline forecast, the 750,000 of net immigration per year represents mostly visa and green card holders. Some 500,000 deportations are expected to largely offset roughly 500,000 people entering the country as asylum seekers and people entering illegally, which is the low end of the pre-pandemic range. The administration’s immigration policies may run up against constraints, including the number of enforcement agents available and space in detention facilities. Congress is expected to allocate at least $100 billion in additional resources for law enforcement later this year, much of which will likely be used to hire more agents. 

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How global stock market rankings are forecast to change

    The US has had the world’s largest economy for more than a century — a title it’s expected to relinquish in the coming decades. But even as US GDP is forecast to be surpassed in the years ahead, the country is projected to remain world leading when it comes to wealth and the size of its stock market, according to Goldman Sachs Research’s report “The Path to 2075.” Demographic projections and long-term drivers of productivity can help us glimpse how the global economy may look 50 years in the future. In fact, these longer-term forecasts are, in some ways, easier than shorter estimates over a year or two, which can be derailed by booms, recessions, and other surprises. That’s because some of the key variables underpinning long-term GDP growth are slower to change, while the shorter-term volatility of the business cycle tends to average out over time,  say Kevin Daly, co-head of Central & Eastern Europe, Middle East, and Africa Economics in Global Macro Research, and economist Tadas Gedminas. “Over the very long term, the things that tend to drive the size of economies are things like population growth and long-term productivity growth, which tend to be slower-moving and less variable,” Daly says.   The relative importance of capital markets in emerging economies is nevertheless projected to grow, from around one-quarter of total global market cap today to more than half by 2075. The research demonstrates that while rich, developed countries will remain critical in the decades that come, it won’t be possible to capture long-term, worldwide growth trends without exposure to emerging economies and their financial markets.

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How much will rising defense spending boost Europe’s economy?

March 6, 2025Shareshare   Defense spending by European Union member states is set to increase significantly in the next two years. The shift will have a positive — but limited — impact on GDP growth, Goldman Sachs Research economists Niklas Garnadt and Filippo Taddei write in a report. The team’s baseline assumption is that the EU will gradually increase its annual defense spending by around €80 billion ($84 billion) by 2027 — equivalent to roughly 0.5% of GDP, according to the report dated February 27. Defense expenditures in the euro area accounted for 1.8% of GDP in 2024 and Goldman Sachs Research expects them to rise to 2.4% by 2027.  The incoming German government recently said it intends to exempt defense spending from budget control measures and to allot €500 billion to an infrastructure fund. If implemented, the policies could result in faster-than-expected GDP growth from Europe’s largest economy. The economic impact of defense spending depends on the type of expenditure and whether it is imported or produced locally. Goldman Sachs Research estimates that additional spending on defense will have a fiscal multiplier of 0.5 over two years. That means every €100 spent on defense would boost GDP by around €50. The forecast is based on the assumption that imports of military supplies gradually decrease (and are substituted with domestic products) and that the higher spending initially focuses on equipment and infrastructure. What is the outlook for European defense spending? Spending on equipment has recently increased more than other areas of defense, reaching 33% of spending by European members of NATO last year, up from 15% in 2014. Europe bought a substantial amount of military equipment from non-EU suppliers immediately after Ukraine was invaded by Russia. However, a large portion of European defense supplies has historically been purchased from domestic companies, particularly in larger EU member states. The average domestic share of sourcing was around 90% in France, 80% in Germany, and 70% in Italy between 2005 and 2022. Europe’s share of global arms production declined between 2008-2016, although it has since started to pick up again. EU manufacturers have joined the global surge in arms production and are now poised to expand at a faster rate than their US counterparts, according to market pricing. As defense spending increases, there will be growing opportunity for equipment to be harmonized (made interoperable across the continent), for research and development to scale up, and for efficiency to improve. Such changes would increase the economic impact of military spending, and it would probably result in a higher fiscal multiplier after three years. How Europe could fund higher defense spending To meet a defense-spending target of 2.5% of GDP, the euro area needs to increase expenditures by an additional 0.6% of GDP annually, Taddei writes in a separate research report dated March 2. European leaders are discussing a common strategy for increasing defense spending, which could involve issuing more debt at the national or EU level, or setting up new lending facilities from European institutions. Issuing more national debt could be challenging given the new European fiscal framework, which requires countries to contain their ratio of debt to GDP. European rules allow a temporary exception in the case of “major shocks to the EU,” Taddei writes, known as the “escape clause.” EU President Ursula Von der Leyen proposed this option at the Munich Security Conference in February. Making this exception permanent for future defense spending needs (known as a “golden rule”) would require the approval of the EU Council and the EU Parliament. Taddei writes that the EU president’s proposal has the advantage of being relatively quick. But he adds that “introducing a ‘golden rule’ would leave national defense spending exposed to sovereign market stress and reduce the likelihood of coordinated and harmonized military spending within the EU.” How Europe could leverage supranational debt Alternatively, the EU could turn to existing lending programs that are available for European governments — either the European Stability Mechanism (ESM) or the European Investment Bank (EIB). “The EIB has struggled to identify projects worth funding in line with the European priorities, and the industrial reconversion needed to scale up defence spending in Europe would likely provide an ideal target,” Taddei writes. These options have limitations however. Only euro area members would be eligible for ESM lending, for example, and the ESM would only temporarily shift issuance from domestic to supranational debt. EU debt, meanwhile, would provide stable funding. This could come in the form of repurposing an existing Covid pandemic borrowing program (called NGEU), or as a separate program that is dedicated to defense borrowing. The latter is the only option to secure low rates for long-run funding. “However, it is also the option with the most cumbersome approval process,” Taddei writes. The team expects that setting up a new funding facility would take about a year from design to implementation. “We continue to expect the EU to use national debt, NGEU, and a new funding facility, but in that sequence,” Taddei writes. He adds that national debt, combined with the repurposing of spare NGEU financial capacity, could fund military spending until 2026.

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Why the US economy may grow more slowly than expected

   The US economy may expand more slowly than previously forecast as tariffs on imports rise and the Trump administration signals that it may tolerate slower growth in order to implement its trade policies, according to Goldman Sachs Research. Our economists reduced their prediction for US GDP expansion to 1.7% in the fourth quarter of 2025 (year over year) from their earlier estimate of 2.2%. Goldman Sachs Research’s forecast for the world’s largest economy is, for the first time in more than two years, lower than the consensus estimate of economists surveyed by Bloomberg.  “Our trade policy assumptions have become considerably more adverse and the administration is managing expectations towards tariff-induced near-term economic weakness,” Goldman Sachs Research Chief Economist Jan Hatzius writes in the team\’s report. The average US tariff rate is expected to rise by 10 percentage points this year. That’s twice Goldman Sachs Research’s previous forecast and about five times the increase seen in the first Trump administration. While some import taxes have been softened, our economists expect levies in the coming months on critical goods, global autos, and a “reciprocal” tariff. Reciprocal tariffs and the administration’s view of Europe’s 20% value added tax (VAT) are particularly important because the US considers the tax a tariff (even though Europe imposes it equally on imported and domestically produced goods). If applied mechanically, a reciprocal tariff that includes the effect of VAT could raise the average US tariff rate by 10 percentage points or more. Tariff carveouts will probably lower this number, but if the exemptions are less widespread than Goldman Sachs Research expects, the average tariff rate could rise as much as 15 percentage points. What are the economic effects of tariffs? Tariffs are likely to weigh on US economic growth via three main channels, according to Goldman Sachs Research. They raise consumer prices — and thereby cut real income — by an estimated 0.1% per 1 percentage point increase in the average US tariff rate. (In theory, the drag could diminish if the tariff revenue is recycled into additional tax cuts, but this revenue will not be scored in the ongoing budget negotiations if it results from executive as opposed to congressional action.) Tariffs tend to tighten financial conditions, although the impact in this cycle looks smaller than in the 2018-2019 trade war when scaled by the size of the tariff hikes. Trade policy uncertainty leads businesses to delay investment. All told, the team’s new baseline implies that tariffs will subtract an estimated 0.8 percentage point from GDP growth over the next year, with only 0.1-0.2 percentage point of this drag offset by the (relatively slow-moving) boost from tax cuts and regulatory easing. Will tariffs lead to higher inflation? Goldman Sachs Research now expects core PCE inflation to reaccelerate to 3% later this year, up nearly half a percentage point from their prior forecast. In theory, a tariff hike raises the price level permanently but only raises the inflation rate temporarily. In practice, this hinges on the assumption that inflation expectations remain well-anchored, which looks a bit more tenuous following the pickup in inflation-expectations measures from the University of Michigan and the Conference Board. Given their downgrade to the forecast for US GDP growth, our economists still expect the Federal Reserve to make two 25-basis-point cuts to the fed funds rate this year (June and December). Goldman Sachs Research’s near-term view is that the Federal Open Market Committee will want to stay on the sidelines and make as little news as possible until the policy outlook has become clearer.

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Carbonomics: Tariffs, deglobalization and the cost of decarbonization

Goldman Sachs Research has updated its Carbonomics cost curve which considers over 100 different applications for decarbonization tech across key emitting sectors, reflecting technological innovation and a growing push for local supply chains and tariffs.   CarbonomicsTariffs, deglobalization and the cost of decarbonization  

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Defense spending to boost German and European GDP growth

   The economic growth outlook is improving in Germany — and in Europe as a whole — amid a fiscal plan that emerged after Germany’s federal election and the prospect of higher military spending across the region, according to Goldman Sachs Research. German voters in late February put Friedrich Merz in line to become Chancellor and gave his Christian Democratic Union (CDU) and the Social Democratic Party (SPD) a slim legislative majority that should allow for a two-party coalition. This outcome makes higher government spending more likely. The coalition partners have announced a fiscal plan to exempt substantial defense outlays from Germany’s so-called debt brake and to create a €500 billion ($546 billion) off-budget infrastructure and climate protection fund, among other steps.  In light of these developments, Goldman Sachs Research Chief European Economist Sven Jari Stehn and his team increased their forecast for real GDP growth in Germany this year to 0.2% from flat. They also raised their 2026 forecast by 0.5 percentage point to 1.5% and increased the estimate for 2027 by 0.6 percentage point to 2%. “Growth could be higher with quicker implementation,” Stehn and his colleagues write in a report. “In practice, we think the implementation will be more gradual given capacity constraints and well-known challenges with stepping up public investment.”  Why the German economy is improving The researchers examine the potential impact of three key elements in the fiscal plan. Defense spending in excess of 1% of GDP would become exempt from the debt brake, Germany’s constitutional limit on structural deficits. The team sees military spending ramping up to 3% of GDP by 2027 and reaching 3.5% after that. The off-budget infrastructure and climate protection fund, designed to last 12 years, would boost spending gradually, raising expenditures by €40 billion above our economists’ pre-election baseline in 2027. A third feature of the fiscal plan increases the permissible structural deficit German states can run. This and the freed-up space in the federal budget may be partially used for tax cuts. The lower house of parliament (Bundestag) passed the package this week and our researchers expect the fiscal package to also pass the upper house (Bundesrat) later this week, before newly elected Bundestag members are seated in late March. Business leaders and investors have been pushing for a loosening of Germany’s debt rules and a boost in government spending, as the economy has been sluggish for several years, a growth laggard among the large European nations. The outlook for euro area GDP growth The researchers also raised their forecasts for the euro zone as a whole. They added 0.1 percentage point to this year’s growth estimate, bringing it to 0.8% for the region. They increased the 2026 forecast by 0.2 percentage point to 1.3%, and boosted the 2027 numbers by 0.3 percentage point to 1.6%. “One reason is that we expect stronger growth in Germany to spill over into neighboring countries,” Stehn writes of the forecast change. “Another reason is that we now expect the rest of the euro area to step up military spending somewhat more quickly in response to the German announcement.” The team sees France boosting defense spending to 2.9% of GDP by 2027, Italy reaching 2.8% of GDP, and Spain boosting outlays to 2.7% of GDP. This is a 0.3 percentage point increase from the researchers’ previous estimates. Some of the increases in defense outlays could be offset by spending cuts elsewhere or tax increases, the researchers note, as these countries bump up against their own fiscal limits, resulting in a smaller economic boost.      “We see risks in both directions around our new forecast” for the euro zone, Stehn writes. A steeper increase in public spending, especially in Germany, could create faster-than-forecast growth in 2026 and 2027. On the other hand, the researchers acknowledge the ongoing risk that tariffs and trade tensions with the US might have a greater-than-expected impact. The researchers have as a baseline a 0.5 percentage point drag on growth from targeted tariffs and trade policy uncertainty in 2025. “An across-the-board tariff could imply an additional hit to growth of 0.5% this year,” they write. The prospect of increased government spending across the euro zone decreases pressure on the European Central Bank to cut rates below the neutral policy rate, the researchers find. They now expect that the central bankers will be satisfied by cutting rates to a terminal rate of 2%, with 0.25% cuts expected in April and June (the policy rate is 2.5% now), rather than lowering it further in July. 

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Chinese measures to raise birth rates are boosting dairy stocks

    Recent policy announcements in China highlight new government efforts to raise birth rates. For investors, this suggests an improving outlook among dairy and infant formula companies that have sales in China, according to Goldman Sachs Research. It also creates a positive storyline for companies outside Asia that make ingredients for infant nutrition. The policy developments include a March 13 announcement by leaders in Hohhot, Inner Mongolia’s capital, of child-raising subsidies. The city will offer a one-time payment of RMB 10,000 ($1,383) to help support a family’s first child; provide RMB 10,000 per year up to age five for a second child, for a total of RMB 50,000; and will grant a subsidy of RMB 10,000 per year for 10 years for a third child or additional children. The announced subsidies in Hohhot also included a plan to provide milk to parents for one year after a child is born, through coupons for dairy products worth RMB 3,000. “Hohhot’s initiatives resonate with the government’s recent policy direction,” Goldman Sachs Research analyst Leaf Liu and her colleagues write in a report. How is China attempting to increase birth rates? A few days after Hohhot’s announcement, China’s government unveiled a special action plan that signaled the potential for more childcare subsidies nationwide. The plan reinforced policies to promote consumption that emerged from the annual plenary sessions of the National People’s Congress and the Chinese People’s Political Consultative Conference in Beijing earlier in the month. The subsidies for parents in Hohhot are high compared with similar programs announced in recent years in other Chinese cities, Andrew Tilton, chief Asia Pacific economist and head of Emerging Markets Economic Research, writes in a separate report. The macroeconomic impact will be limited if Hohhot is the only place offering subsidies at that level. Still, Goldman Sachs economists estimate that these types of supports, if implemented nationwide, could add between 0.1 and 0.3 percentage point to annual GDP. Shares of dairy companies that can benefit from these measures in China have risen: A basket of stocks that includes large makers of liquid milk, milk powder, and infant formula rallied more than 7% in just a few days. China’s fertility policy could boost stocks outside China Companies in Europe may also benefit from China’s efforts to boosts birth rates and provide greater support for families with young children, Georgina Fraser, head of the European Chemicals team, writes in a separate report. Policies to increase domestic consumption and enhance citizens\’ quality of life could drive more demand for premium and higher-value dairy products. Investors may find opportunities in biotechnology companies that have engineered human milk oligosaccharides (HMOs), a type of carbohydrate that occurs naturally in human breast milk and promotes immune health and gut function. “The commercialization of HMOs is on the back of more favorable regulation,” Fraser writes. By 2030, there may be HMOs in 50% of the infant formula produced worldwide, up from just 5% today, she says in her team’s report. Some European companies make HMOs. Fraser writes that the market for these products could broaden across age groups. “HMOs are increasingly being recognized for supporting immune and gut health for a broader demographic,” Fraser writes. The outlook for demographics in China Births have been falling in China for years, but they rose in 2024. There’s further room for birth rates to rebound, Liu writes. Mothers aged 20 to 24 are estimated to be having children at half the pace they were before the pandemic, and mothers in the 30 to 44 age range have a birth rate notably below levels seen in Japan and South Korea for that age range. As a result, there’s scope for a recovery in birth rates. If policy support for having more children turns out to be significant nationwide, “our population model points to a potential uptick in new births” over the next decade, Liu writes.

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AI is poised to drive 160% increase in data center power demand

On average, a ChatGPT query needs nearly 10 times as much electricity to process as a Google search. In that difference lies a coming sea change in how the US, Europe, and the world at large will consume power — and how much that will cost.  For years, data centers displayed a remarkably stable appetite for power, even as their workloads mounted. Now, as the pace of efficiency gains in electricity use slows and the AI revolution gathers steam, Goldman Sachs Research estimates that data center power demand will grow 160% by 2030. At present, data centers worldwide consume 1-2% of overall power, but this percentage will likely rise to 3-4% by the end of the decade. In the US and Europe, this increased demand will help drive the kind of electricity growth that hasn’t been seen in a generation. Along the way, the carbon dioxide emissions of data centers may more than double between 2022 and 2030. How much power do data centers consume? In a series of three reports, Goldman Sachs Research analysts lay out the US, European, and global implications of this spike in electricity demand. It isn’t that our demand for data has been meager in the recent past. In fact, data center workloads nearly tripled between 2015 and 2019. Through that period, though, data centers’ demand for power remained flattish, at about 200 terawatt-hours per year. In part, this was because data centers kept growing more efficient in how they used the power they drew, according to the Goldman Sachs Research reports, led by Carly Davenport, Alberto Gandolfi, and Brian Singer. https://www.goldmansachs.com/infographics/v2/flourish/data-center-power-demand/index.html?auto=1 But since 2020, the efficiency gains appear to have dwindled, and the power consumed by data centers has risen. Some AI innovations will boost computing speed faster than they ramp up their electricity use, but the widening use of AI will still imply an increase in the technology’s consumption of power. A single ChatGPT query requires 2.9 watt-hours of electricity, compared with 0.3 watt-hours for a Google search, according to the International Energy Agency. Goldman Sachs Research estimates the overall increase in data center power consumption from AI to be on the order of 200 terawatt-hours per year between 2023 and 2030. By 2028, our analysts expect AI to represent about 19% of data center power demand. https://www.goldmansachs.com/infographics/v2/flourish/data-centers/index.html?auto=1 In tandem, the expected rise of data center carbon dioxide emissions will represent a “social cost” of $125-140 billion (at present value), our analysts believe. “Conversations with technology companies indicate continued confidence in driving down energy intensity but less confidence in meeting absolute emissions forecasts on account of rising demand,” they write. They expect substantial investments by tech firms to underwrite new renewables and commercialize emerging nuclear generation capabilities. And AI may also provide benefits by accelerating innovation — for example, in health care, agriculture, education, or in emissions-reducing energy efficiencies. US electricity demand is set to surge Over the last decade, US power demand growth has been roughly zero, even though the population and its economic activity have increased. Efficiencies have helped; one example is the LED light, which drives lower power use. But that is set to change. Between 2022 and 2030, the demand for power will rise roughly 2.4%, Goldman Sachs Research estimates — and around 0.9 percent points of that figure will be tied to data centers. https://www.goldmansachs.com/infographics/v2/flourish/growth-in-power-demand/index.html?auto=1 That kind of spike in power demand hasn’t been seen in the US since the early years of this century. It will be stoked partly by electrification and industrial reshoring, but also by AI. Data centers will use 8% of US power by 2030, compared with 3% in 2022. US utilities will need to invest around $50 billion in new generation capacity just to support data centers alone. In addition, our analysts expect incremental data center power consumption in the US will drive around 3.3 billion cubic feet per day of new natural gas demand by 2030, which will require new pipeline capacity to be built. Europe needs $1 trillion-plus to prepare its power grid for AI Over the past 15 years, Europe’s power demand has been severely hit by a sequence of shocks: the global financial crisis, the covid pandemic, and the energy crisis triggered by the war in Ukraine. But it has also suffered due to a slower-than-expected pick up in electrification and the ongoing de-industrialization of the European economy. As a result, since a 2008 peak, electricity demand has cumulatively declined by nearly 10%. https://www.goldmansachs.com/infographics/v2/flourish/it-load-map-2/index.html?auto=1 Going forward, between 2023 and 2033, thanks to both the expansion of data centers and an acceleration of electrification, Europe’s power demand could grow by 40% and perhaps even 50%, according to Goldman Sachs Research. At the moment, around 15% of the world’s data centers are located in Europe. By 2030, the power needs of these data centers will match the current total consumption of Portugal, Greece, and the Netherlands combined. Data center power demand will rise in two kinds of European countries, our analysts write. The first sort is those with cheap and abundant power from nuclear, hydro, wind, or solar sources, such as the Nordic nations, Spain and France. The second kind will include countries with large financial services and tech companies, which offer tax breaks or other incentives to attract data centers. The latter category includes Germany, the UK, and Ireland. https://www.goldmansachs.com/infographics/v2/flourish/power-grids/index.html?auto=1 Europe has the oldest power grid in the world, so keeping new data centers electrified will require more investment. Our analysts expect nearly €800 billion ($861 billion) in spending on transmission and distribution over the coming decade, as well as nearly €850 billion in investment on solar, onshore wind, and offshore wind energy. 

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Will the $1 trillion of generative AI investment pay off?

A tide of investment is pouring into generative artificial intelligence. Will it be worth it? “That’s the center of all debate right now,” says Sung Cho of Goldman Sachs Asset Management. Investment is flowing into everything from the silicon underpinning the training of artificial intelligence models to the power companies that supply electricity to acres of data centers. To see where the industry is headed, Cho and Brook Dane, portfolio managers on the Fundamental Equity team in Goldman Sachs Asset Management, met with executives from 20 leading technology companies driving AI innovation. Those conversations — with public and private firms, from semiconductor makers to software giants — indicate that some companies are already generating returns from AI, and some would buy even more AI hardware if they could get their hands on it. “Our confidence continues to increase that this technology cycle is real,” Dane says. “It’s going to be big, as they say.” But there are also risks. Cho and Dane say it’s possible that the large language models being built by a handful of companies will find they are competing in a winner-takes-all market. The use cases, or killer apps, that fully justify the intense investment are yet to emerge. They also point out that, in a year in which US stock indexes have set successive record highs, no rally in tech stocks ever goes in a straight line. “You get these waves of both investment-digestion and hype-reality,” Dane says. “And the two of them play out across a multi-year horizon.” Cho and Dane’s insights come as Goldman Sachs Research recently published an examination of the immense amount of investment in AI, featuring interviews with Daron Acemoglu, Institute Professor at MIT, and Jim Covello, Goldman Sachs’ Head of Global Equity Research. The report, titled “Gen AI: too much spend, too little benefit?” notes that mega tech firms, corporations, and utilities are set to spend around $1 trillion on capital expenditures in the coming years to support AI. We spoke with Goldman Sachs Asset Management’s Cho and Dane about the prospects for the industry’s return on its investments, whether this trend is primarily playing out in public or in private markets, and the companies that can hope to capitalize on the AI boom. How much investment are you seeing in these models? And do you think it’s realistic to see a return on investment that justifies that capital anytime soon? Sung Cho: That’s the center of all debate right now. Brook Dane: The biggest question in the marketplace right now is: Are we getting a return on the investment? I’m reasonably comfortable that we are seeing that return. And there are a couple of data points I’m looking at that give me comfort. First: We spent a lot of time on this trip talking with the CFO of a hyperscaler who had just come back from their strategic planning, where they’re doing their one-, three-, five-year forward looks. This person talked very openly, not with any kind of numbers whatsoever, about how they were doing the RoI calculations across the clusters where they were deploying GPUs and how they were finding it very accretive from a return standpoint. Now, this company is already running massive inferencing (using already-trained AI models to reason or make predictions) workloads across their infrastructure for recommendation engines. They’re seeing results in terms of increases in time spent on their platforms, as these models have predicted, with the next piece of content. So for them, the RoI calculation is probably the simplest to calculate, because you can deploy a cluster, you can do a more sophisticated algorithm that can then lead to more time spent, which can lead to more advertising surface, which can then drive revenue. The second thing, and this is from following the industry over the long term and having had lots of recent discussions with another hyperscaler around their capital spending plans: We know how disciplined they have always been historically, and how they’re seeing both incremental revenue pick up, and seeing the incremental returns that they get out of their capital spending. This CFO is emphatic that they have the money, and if they could get more GPUs to deploy they would. Having known this person for 20 years, and understanding how they approach capital budgets, how they spend their capital — this person wouldn’t be doing that if there wasn’t a genuine, real, tangible return that they can see in front of them. And they’re pretty emphatic. But it’s early, and the other downside is that for these frontier models you can’t fall off the front end of the wave. You can’t be the fourth frontier model that doesn’t spend the incremental $1 billion dollars to get your model to be better. So for those guys, there’s a bit of an arms race here, and there’s a little bit of a leap of faith embedded in that. Sung, what’s your view on the RoI question? Sung Cho: This is one of the most important questions. And that’s what’s going to dictate the direction of markets over the next six to 12 months at least, and whether tech continues to outperform or not. Obviously with any RoI question, you have to understand the scale of what’s been invested so far. If you look at NVIDIA’s revenues in calendar year 2022, they did $26 billion dollars in revenue. And they did $26 billion dollars in revenue this most recent quarter. So in basically two years, NVIDIA has quadrupled its revenues. If you compare what’s being spent on NVIDIA to total cloud capital expenditures, nearly 50% is going into NVIDIA chips. So the investment in AI has been massive. And if you think about RoI, the starting point is around the “I,” which has been very, very high. If you are a bull, the most important thing here, and Brook mentioned this, is that right now there’s a race to see who can build the best foundational model (general purpose models that can be applied

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Cloud revenues poised to reach $2 trillion by 2030 amid AI rollout

Cloud computing sales are expected to rise to $2 trillion by the end of the decade, according to Goldman Sachs Research. Generative artificial intelligence is forecast to account for about 10-15% of the spending. The total addressable market for cloud services is poised to expand at a 22% compound annual growth rate from 2024 to 2030, writes Kash Rangan, head of US software research in Goldman Sachs Research, in the team’s report. Generative AI could constitute $200 billion to $300 billion of cloud spending, as investment moves beyond mega technology companies and foundation model providers. Companies spending on digital transformation and cloud modernization will contribute to the surge in cloud computing sales, writes Rangan. Only about 30% of workloads have moved to the cloud, according to a recent survey by Goldman Sachs Research. The estimate for cloud revenue growth is also based on recent historical precedent — the market more than doubled between 2019 and 2023 to $496 billion, representing a 26% compound annual growth rate. At the same time, Rangan anticipates that spending for, and adoption of, generative AI will broaden out to more companies. As that happens, it will be a further catalyst for the cloud sector. AI investment poised to broaden beyond semiconductors Much of the recent technology spending, and subsequent rise in stock prices, has centered on infrastructure companies like semiconductor makers. The next phase is expected to generate opportunities in platform companies that allow the best use of that infrastructure while providing building blocks for next-generation applications, as well as software companies that create generative AI applications, Rangan writes. “We are starting off with infrastructure and that should lead to growth in platforms, which can help manage all the data and facilitate processing by applications,” he writes. Rangan forecasts infrastructure as a service (IaaS) will account for $580 billion of the cloud market by 2030, or 29%. Platform as a service (PaaS) is expected to make up $600 billion in that same time period, or roughly 30%, while software as a service (SaaS) is expected to contribute $780 billion for 41% of the market. https://www.goldmansachs.com/infographics/v2/flourish/forecast-split/index.html?auto=1 “The infrastructure layer is poised to be the initial beneficiary, as we are already observing with the AI revenue ramp from the hyperscalers,” he writes. “This should be followed by the platform and application layers, respectively. An inherent tethering exists between PaaS and SaaS —  where PaaS solutions are needed to support the emergence of a killer application but the value in the platform layer can’t compound until more compelling applications emerge.” The next phase of generative AI Five of the biggest US technology companies are forecast to spend $215 billion on generative AI this year (up from $125 billion in 2022). But sky-high capital expenditures for generative AI are expected to gradually decline. Lowering costs isn’t entirely straightforward, as Rangan points out that some aspects of model training are relatively fixed. But the team still expects companies to eventually produce models that extract more efficiency from the hardware, for model training to give way to using the models (known as inferencing), and for smaller and specialized models to emerge. The software sector, which has had three straight years of decelerating growth, is set to potentially re-accelerate. The uptick will be driven by declining interest rates (lowering the hurdle rate for some IT projects), more certainty about economic policies after the US election in November (which has delayed some spending decisions), and key software conferences in the fall that will provide insight on generative AI products. IT budgets for generative AI are resilient Even as the investor outlook for generative AI gyrates from excitement about its prospects to skepticism about its viability, there are signs that investment in the technology is resilient. Goldman Sachs Research’s survey of IT buyers shows respondents expect 9% of their budgets to be potentially allocated to generative AI in three years, up from 7% indicated in an earlier survey in January.  https://www.goldmansachs.com/infographics/v2/flourish/future-it-budget/index.html?auto=1 The history of cloud computing can be instructive for understanding the development of generative AI. Rangan points out that it took time for the killer applications that underpin cloud computing to reach mainstream status. The return on investment for generative AI is hard to quantify, just as it was in the early stages of cloud computing. “Going through transition points like this can be very unnerving,” he writes. There are other parallels with cloud computing, Rangan writes. It took time for cloud-based applications to become more robust than their on-premises counterparts, but now they have more functionality. Likewise, once training has produced AI models of sufficient maturity, that will pave the way for more sophisticated applications.  That said, if generative AI doesn’t materialize as a disruptive force, software company valuations could rise, as there will be less competition for IT budgets, and there’s less risk of displacement, Rangan writes. But that’s not his base case. “There is a much greater probability that the generative AI opportunity is indeed real and that software applications and platform companies are able to re-invent and therefore re-accelerate growth — especially as interest rates start to come down,” he writes. “With or without generative AI, software platforms and applications companies are in a very good position to deliver attractive returns for investors over the next several years.”

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