Retail’s Comeback Plan

Retail’s Comeback Plan

Our Retail analyst and U.S. Internet analyst connect the dots on how technology is helping the retail industry to cash in on the future.


----- Transcript -----


Simeon Gutman: Welcome to Thoughts on the Market. I'm Simeon Gutman, Morgan Stanley's Hardlines, Broadlines, and Food Retail Analyst.

Brian Nowak: And I'm Brian Nowak, Morgan Stanley's US Internet Analyst.

Simeon Gutman: And on this episode of the podcast, we'll hear how retailers are using technology to make a comeback and set themselves up for the future.

It's Monday, July 15th at 6pm in London.

Brian Nowak: And it's 1pm in New York.

Simeon Gutman: Retail has taken a big hit over the last few years. The long tail of the pandemic, outbreaks of war and inflation have had a big impact on the landscape. However, our research suggests retail is finding its feet, and technology is playing a significant role.

Automation, AI, and retail media are the game changers here. And we're seeing retailers of larger scale and larger size disproportionately invest in these technologies -- which means it will not benefit all retailers equally.

My colleague Brian is here to help explain the technology and how these are manifesting themselves across the internet and technology landscapes. Brian, can you talk about how these things are materializing across your coverage universe?

Brian Nowak: Thanks, Simeon. Across the US internet space, we're seeing early emerging use cases for Generative AI of many types. We are seeing improved targeting on the advertising side. We are seeing new diffusion and creative models being built where advertisers can create new types of advertising copy using large language models. We are seeing new forms of customer service using large language models and Generative AI. And in effect, we are seeing companies across the entire internet space better analyze their first party data to drive more new people and customers to their platforms -- to drive higher conversion and share of wallets from those customers. And ultimately more durable multiyear top-line growth, which in some cases is also leading to higher free cash flow growth over the long term as well. It's early, but it's very encouraging with what we're seeing for Generative AI and retail media across the space.

Simeon Gutman: Can you talk about in more detail how retail media is influencing the success and the prospects for some of your companies?

Brian Nowak: Retail media is a emerging, rapidly growing, new high margin revenue stream that is moving across the internet space. Large companies are analyzing more of their data and essentially creating new advertising units that users and consumers can click on to drive transactions. And they're finding ways to better link these advertising dollars to transactions and ultimately creating a new revenue stream that we think is going to drive more durable top-line growth -- and because of its high margin nature, also more durable, multiyear free cash flow growth. It is benefiting the commerce players. It is benefiting the online advertising players. And it's also benefiting the advertising technology players.

So with that as a backdrop, Simeon, where are you seeing Generative AI, retail media, and maybe even automation, start to manifest itself throughout the retail landscape?

Simeon Gutman: Those are the three pillars of technology that are influencing retailers. Taking a quick step back, what's changing is that market share in retail is concentrating and consolidating among the largest players. And if you think about the investments required for some of these new capabilities, the companies that have the greatest ability to invest should see the greatest benefits. That means that the big could get bigger at an even faster rate. And this is why the stakes in retail are growing even faster.

Now with, respect to these technologies. Let's start with AI. AI is helping retailers analyze big pieces of data that they never had an ability to do in such a quick way. That could help them refine their search criteria to consumers scanning a website. That could help them improve the algorithms in a distribution center with robots creating orders.

Second, speaking of robots, bringing automation to distribution centers, supply chains for retailers can cost anywhere between 2 to 6 per cent of sales. There's a significant opportunity to reduce the amount of labor -- human labor -- in these distribution centers by automating them; whether it's dry goods, whether it's grocery items, as tricky as frozen and perishable items.

And then lastly, retail media, the way that you mentioned, Brian, the benefit to your companies is very similar to retailers. There are now advertising dollars that are moving into new channels, whether it's closed loop advertising in store or retail media that's appearing on websites -- where some of the larger and more successful companies have a lot of traffic and advertisers are intrigued to show them offers and deals to try to change their perception or behaviors.

So those three pieces of technology are slowly transforming the retailer. So next time you step into a retail store, there may be more technology that meets the eyes.

Thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleague today.

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Following the Flows

Following the Flows

Our Chief Global Cross-Asset Strategist, Serena Tang, explains where funds are moving across global markets currently, and why it matters to investors.----- Transcript -----Welcome to Thoughts on the Market. I’m Serena Tang, Morgan Stanley’s Chief Cross-Asset Strategist. Along with my colleagues bringing you a variety of perspectives, today I’ll dig into the concept of fund flows, how they shape global markets and why they matter to investors. It’s Thursday, August 1, at 10am in New York. Finance industry professionals often use the term “flows” when looking at where investors are, in the aggregate, moving their money. It refers to net movements of cash in and out of investment vehicles such as mutual funds and exchange-traded funds, or in and out of whole markets. By looking at flows, investors can get a good sense of where market winds are blowing and, essentially, where demand is at any given moment. Now, whether you’re a retail or institutional investor, having a perspective on market sentiment and demand are powerful tools. So today I’m going to give you a snapshot of some key flows, which should give a sense of demand and the mood right now; and what it means for investors.First of all, despite the recent rally in global equities year-to-date, we've yet to see an investor rotation, or portfolio realignment, from bonds to stocks. Flows into bonds are still leading flows into stocks by a pretty large margin. And unless stocks cheapen materially, we don’t expect this trend to reverse anytime soon. In addition, fund flows into large-cap equities still dwarf those into small-caps year-to-date. Although we saw a brief reversal of this trend in June, large caps flows have swung back to prominence. We do see hints of sector rotation within equities, as investors shift to what they see as more promising stocks; but it’s not a clean or entirely unambiguous story. The Science & Tech sectors – which saw a notable drop-off in flows from the first to the second quarter of this year – still lead year-to-date; and flows represent nearly a third into all flows into equities. More cyclical sectors like Basic Materials and Financials attracted more capital than in the first and second quarter, while defensive sectors such as Consumer Goods saw a softening of outflows compared to the same period. From a global perspective, we also look at flows in and out of particular regions or markets. So, year-to-date, US stocks received about US$43 billion in net inflows while rest-of-world stocks saw about US$15 billion in net outflows. Now, there were some exceptions – with India, Korea, and Taiwan leading – seeing significant inflows year-to-date. We look at flows within categories too, so within fixed income, for example, we are seeing flows toward less risky assets; revealing what we call a risk-off preference. Higher quality, Investment Grade funds – raked in about US$92 billion in net inflows year-to-date, while US treasuries saw only at US$25 billion. That Treasury number is actually significantly higher than what we saw from the first quarter to the second quarter, while inflows to High Yield and low-quality Investment Grade corporates have slowed compared to the start of the year. Finally, money market funds – that is mutual funds that invest in short-term higher quality securities – have not yet really seen sustained outflows, as one would expect when investors believe shorter term yields would come down, as central banks start to ease. Rather there’s been some $70 billion in net inflows through the first half of this year. Although we’re sympathetic to the view that money market outflows should begin when the Fed starts cutting rates, there’s actually a considerable lag between first cut and those outflows, as we have seen in the last two rate cutting cycles. But what does all of this mean for investors? Well, it suggests they still have a defensive tilt, and they shouldn’t really be jumping on the rotational story. The current yield environment means rotation from fixed income and money market funds into riskier assets is still some way away. Investors also shouldn’t look at the dry powder/cash on the sidelines narrative as the big tailwind for riskier assets -- because it’s not coming any time soon. That said, we still like non-government bonds because this is where cash would go first if and when those flows begin. We also like global equities, but more so because the benign macro backdrop we are forecasting supports this. We’ll keep you up to date if there’s any change in the direction of market winds and fund flows.Thanks for listening. If you enjoy the show, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.

2 Aug 20245min

Will GenAI Help or Hurt Ad Agencies?

Will GenAI Help or Hurt Ad Agencies?

As Generative AI continues to accelerate, some agencies will be better positioned than others to reap the benefits. Our Europe Media & Entertainment analyst, Laura Metayer, explains.----- Transcript -----Welcome to Thoughts on the Market. I’m Laura Metayer, from the Morgan Stanley Europe Media & Entertainment team. Along with my colleagues bringing you a variety of perspectives, today I’ll discuss what the future may hold for advertising agencies amid fast-paced Generative AI developments.It’s Wednesday, July 31, at 2 PM in London. Right now we’re still in the early stages of GenAI’s impact on ad agency offerings; although the debate around technology removing the need for ad agencies is not new. Soon after the release of ChatGPT in early 2023, my colleagues in North America started mapping out the potential impact of GenAI on the ad agencies. They concluded that GenAI should represent an opportunity for the ad agencies, at least near-term. First, Gen AI would lead to productivity improvements from automatable tasks in creative, media, digital transformation consulting and central functions like HR and Finance. Second, GenAI would boost client demand for advice from agencies to help navigate the coming evolution in digital advertising. Fast-forward to now and the impact of GenAI on the ad agencies has become an active investor debate, with concerns centering around the Creative business. Many eyes are on the Gen AI-powered text to image/video tools, which could disrupt the ad agencies' Creative & Production business. We this has weighed on agency stock prices recently. Essentially, the bear case has been – and is – that technology would devalue agencies’ offerings and agency clients may rely more on tech platforms and in-house services. That bear case – twenty years into online advertising – has not played out. We think that in these early days of AI’s impact on marketing, there may be more upside to agency equities than risk over the next 12 to 18 months. On the one hand, the introduction of Gen AI tools may mean reduced pricing power and challenged top-line growth. At the same time, replacing creative personnel with software may increase earnings power, even with less revenue. We think it's likely that a key value-add of the ad agencies' Creative business would be campaign personalization at scale, powered by data and technology. Looking back, technology has been commoditizing certain areas of creative and production for years, well ahead of AI; and yet creativity and creative services remain core value propositions by agencies to brands. Overall, there is as much – if not more – opportunity than risk for ad agencies over time. So let me leave you with two key takeaways: First, we see the larger ad agencies as better positioned to remain relevant to customers in the GenAI era. However, we would caution that their large scale may also lower their ability to adapt quickly to evolving customer requirements when it comes to GenAI. Second, we expect GenAI to drive more consolidation in the industry. We think it’s likely that some of the large ad agencies take market share from other large ad agencies. As these trends play out over time, we’ll continue to keep you updated. Thanks for listening. If you enjoy the show, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.

31 Juli 20243min

Navigating the Quality and Cap Curves

Navigating the Quality and Cap Curves

A later cycle economy and continued uncertainty means that investors should be remain wary of cyclicals such as small caps, explains Mike Wilson, our CIO and Chief US Equity Strategist.----- Transcript -----Welcome to Thoughts on the Market. I'm Mike Wilson, Morgan Stanley’s CIO and Chief US Equity Strategist. Along with my colleagues bringing you a variety of perspectives, today I'll be talking about slowing growth in the context of high valuations.It's Tuesday, July 30th at 3pm in New York.So, let’s get after it.Over the past few weeks, the equity markets have taken on a different complexion with the mega cap stocks lagging and lower quality small caps doing better. What does this mean for investor portfolios? And is the market telling us something about future fundamentals? In our view, we think most of this rotation is due to the de-grossing that is occurring within portfolios that are overweight large cap quality growth and underweight lower quality and smaller cap names.We have long been in the camp that large cap quality has been the place to be – for equity investors – as opposed to diving down the quality and cap curves. That continues to be the case; though we are watching the fundamental and technical backdrop for small caps closely, and we’re respectful of the pace of the recent move in the space.For now, however, we continue to think the better risk/reward is to stay up the quality curve and avoid the more cyclical parts in the market like small caps. Our rationale for such positioning is simple — in a later cycle economy where growth is softening or not translating into earnings growth for most companies, large cap quality outperforms. Exacerbating the many imbalances across the economy is a bloated fiscal budget deficit. In our view, there are diminishing returns to fiscal spending when it starts to crowd out private companies and consumers. As I have been discussing for the past year, this crowding out has contributed to the bifurcation of performance in both the economy and equity markets, while potentially keeping the Fed's Interest rate policy tighter than it would have been otherwise.While the macro data has been mixed, there is a growing debate around the actual strength of the labor market with the household survey painting a weaker picture than the non-farm payroll data which is based on employer surveys. The bottom line is that we are in a stable, but decelerating late cycle economy from a macro data standpoint. However, on the micro front, the data has not been as stable and is showing a more meaningful deterioration in growth; particularly as it relates to the consumer.More specifically, earnings revision breadth has broken down recently for many of the cyclical parts of the market. Financials has been a bright spot here but that may be short-lived if the consumer continues to weaken. We continue to favor quality but with a greater focus on defensive sectors like utilities, staples and REITs as opposed to growthier ones like technology. The issue with the growth stocks is valuations and the quality of the earnings for some of the mega cap tech stocks.The other variable weighing on stocks at the moment is valuations which remain in the top decile of the past 20 years. It’s worth noting that valuations are very sensitive to earnings revisions breadth. The last time revision breadth rolled over into negative territory was last fall. Between July and October 2023, the market multiple declined from 20x to 17x. Two weeks ago, this multiple was 22x and is now 21x. If earnings revisions continue to fade as we expect, it’s likely these valuations have further to fall. With our 12-month base case target multiple at 19x, the risk reward for equities broadly remains quite unfavorable at the moment.Thanks for listening. If you enjoy the podcast, leave us a review wherever you listen, and share Thoughts on the Market with a friend or colleague today.

30 Juli 20243min

The Coming Nuclear Power Renaissance

The Coming Nuclear Power Renaissance

Our sustainability strategists Stephen Byrd and Tim Chan discuss what’s driving new opportunities across the global nuclear power sector and some risks investors should keep in mind.----- Transcript -----Stephen Byrd: Welcome to Thoughts on the Market. I'm Steven Byrd, Morgan Stanley's Global Head of Sustainability Research.Tim Chan: And I'm Tim Chan, Asia Pacific Head of Sustainability Research.Stephen Byrd: And on this episode of the podcast, we'll discuss some significant developments in the nuclear power generation space with long term implications for global markets.It’s Monday, July 29th at 8am in New York.Tim Chan: And 8 pm in Hong Kong.Stephen Byrd: Nuclear power remains divisive, but it is making a comeback.So, Tim, let's set the scene here. What's really driving this resurgence of interest in nuclear power generation?Tim Chan: One key moment was the COP28 conference last year. Over 20 countries, including the US, Canada, and France, signed a joint declaration to triple nuclear capacity by 2050. Right now, the world has about 390 gigawatts of nuclear capacity providing 10 per cent of global electricity. It took 70 years to bring global nuclear capacity to 390 gigawatts. And now the COP28 target promises to build another 740 gigawatts in less than 30 years.And if this remarkable nuclear journey is going to be achieved, that will require financing and also shorter construction time.Stephen Byrd: So, Tim, how do you size the market opportunity on a global scale over the next five to ten years?Tim Chan: We estimate that nuclear renaissance will be worth $ 1.5 trillion (USD) through 2050, in the form of capital investment in new global nuclear capacity. And the growth globally will be led by China and the US. China will also lead in the investment in nuclear, followed by the US and the EU. In addition, this new capacity will need $128 billion (USD) annually to maintain.Stephen Byrd: Well, Tim, those are some gigantic numbers, $1.5 trillion (USD) and essentially a doubling of nuclear capacity by 2050. I want to dig into China a bit and if you could just speak to how big of a role China is going to play in this.Tim Chan: In China, by 2060, nuclear is likely to account for roughly 80 per cent of the total power generation, according to the China Nuclear Association. This figure represents half of the global nuclear capacity in similar stages, which amounts to 520 gigawatts.And Stephen, can you tell us more about the US?Stephen Byrd: Sure, during COP 28, the US joined a multinational declaration to triple nuclear power capacity by 2050. In this past year, the US has seen the completion of a new nuclear power plant in Georgia, which is the first new reactor built in the United States in over 30 years.Now, beyond this, we have not seen a strong pipeline in the US on large scale nuclear plants, according to the World Nuclear Association. And for the US to triple its nuclear capacity from about 100 gigawatts currently, the nation would need to build about 200 gigawatts more capacity to meet the target.In our nuclear renaissance scenario, we assume only 50 gigawatts will be built, considering a couple of factors. So, first, clean energy options, such as wind and solar are becoming more viable; they're dropping in cost. And also, for new nuclear in the United States, we've seen significant construction delays and cost overruns for the large-scale nuclear plants. Now that said, there is still upside if we're able to meet the target in the US.And I think that's going to depend heavily on the development of small modular reactors or SMRs. I am optimistic about SMRs in the longer term. They're modular, as the name says. They're easier to design, easier to construct, and easier to install. So, I do think we could see some upside surprises later this decade and into the next decade.Tim Chan: And nuclear offers a unique opportunity to power Generative AI, which is accounting for a growing share of energy needs.Stephen Byrd: So, Tim, I was wondering how long it was going to take before we began to talk about AI.Nuclear power generators do have a unique opportunity to provide power to data centers that are located on site, and those plants can provide consistent, uninterrupted power, potentially without external connections to the grid. In the US, we believe supercomputers, which are essentially extremely large data centers used primarily for GenAI training, will be built behind the fence at one or more nuclear power plants in the US. Now these supercomputers are absolutely massive. They could use the power, potentially, of multiple nuclear power plants.Now just let that sink in. These supercomputers could cost tens of billions of dollars, possibly even $100 billion plus. And they will bring to bear unprecedented compute power in developing future Large Language Models.So, Tim, where does regulation factor into the resurgence of nuclear power or the lack of resurgence?Tim Chan: So, for the regulation, we focus a lot on the framework to provide financing: subsidies, sustainable finance taxonomies and also from the bond investor; although we note that taxonomies are still developing to offer dedicated support to nuclear. We expect nuclear financing under green bonds will become increasingly common and accepted. However, exclusion on nuclear still exists.Stephen Byrd: So finally, Tim, what are some of the key risks and constraints for nuclear development?Tim Chan: I would highlight three risks. Construction time, shortage of labor, and uranium constraint. These remain the key risks for nuclear projects to bring value creation.US and Europe had high profile delay in the past, which led to massive cost overrun. We are also watching the impacts of shortage of skilled labor, which is more likely in the developed markets versus emerging markets. And the supply of enriched uranium, which is mainly dominated by Russia.Stephen Byrd: Well, that's interesting, Tim. There are clearly some risks that could derail or slow down this nuclear renaissance. Tim, thanks for taking the time to talk.Tim Chan: Great speaking with you, Stephen.Stephen Byrd: And thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleague today.

29 Juli 20246min

Three Risks for the Third Quarter

Three Risks for the Third Quarter

Our head of Corporate Credit Research, Andrew Sheets, notes areas of uncertainty in the credit, equity and macro landscapes that are worth tracking as we move into the fall.----- Transcript -----Welcome to Thoughts on the Market. I'm Andrew Sheets, head of Corporate Credit Research at Morgan Stanley. Along with my colleagues bringing you a variety of perspectives, today I'll be talking about three risks we’re focused on for the third quarter.It's Friday, July 26th at 2pm in London.We like credit. But there are certainly risks we’re watching. I’d like to discuss three that are top of mind. The first is probably the mildest. Looking back over the last 35 years, August and September have historically been tougher months for riskier assets like stocks and corporate bonds. US High Yield bonds, for example, lose about 1 per cent relative to safer government bonds over August-September. That’s hardly a cataclysm, but it still represents the worst two-month stretch of any point of the year. And so all-else-equal, treading a little more cautiously in credit over the next two months has, from a seasonal perspective, made sense. The second risk is probably the most topical. Equity markets, especially US equity markets, are seeing major shifts in which stocks are doing well. Since July 8th, the Nasdaq 100, an index dominated by larger high-quality, often Technology companies, is down over 7 per cent. The Russell 2000, a different index representing smaller, often lower quality companies, is up over 11 per cent. So ask somebody – ‘How is the market?’ – and their answer is probably going to differ based on which market they’re currently in. This so-called rotation in what’s outperforming in the equity market is a risk, as Technology and large-cap equities have outperformed for more than a decade, meaning that they tend to be more widely held. But for credit, we think this risk is pretty modest. The weakness in these Large, Technology companies is having such a large impact because they make up so much of the market – roughly 40 per cent of the S&P 500 index. But those same sectors are only 6 per cent of the Investment grade credit market, which is weighted differently by the amount of debt somebody is issued. Meanwhile, Banks have been one of the best performing sectors of the stock market. And would you believe it? They are one of the largest sectors of credit, representing over 20 per cent of the US Investment Grade index. Put a slightly different way, when thinking about the Credit market, the average stock is going to map much more closely to what’s in our indices than, say, a market-weighted index. The third risk on our minds is the most serious: that economic data ends up being much weaker than we at Morgan Stanley expect. Yes, weaker data could lead the Fed and the ECB to make more interest rate cuts. But history suggests this is usually a bad bargain. When the Fed needs to cut a lot as growth weakens, it is often acting too late. And Credit consistently underperforms.We do worry that the Fed is a bit too confident that it will be able to see softness coming, given the lag that exists between when it cuts rates and the impact on the economy. We also think interest rates are probably higher than they need to be, given that inflation is rapidly falling toward the Fed’s target. But for now, the US Economy is holding up, growing at an impressive 2.8 per cent rate in the second quarter in data announced this week. Good data is good news for credit, in our view. Weaker data would make us worried. Thanks for listening. If you enjoy the show, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.

26 Juli 20243min

Investors’ Questions After Election Shakeup

Investors’ Questions After Election Shakeup

Markets are contending with greater uncertainty around the US presidential election following President Biden’s withdrawal. Our Global Head of Fixed Income and Thematic Research breaks down what we know as the campaign enters a new phase.----- Transcript -----Welcome to Thoughts on the Market. I'm Michael Zezas, Morgan Stanley's Global Head of Fixed Income and Thematic Research. Along with my colleagues bringing you a variety of perspectives, today I'll be talking about the latest development in the US presidential race.It's Thursday, July 25th at 2:30 pm in New York. Last weekend, when President Biden decided not to seek re-election, it begged some questions from investors. First, with a new candidate at the top of the ticket, are there new policy impacts, and potential market effects, resulting from Democrats winning that we haven’t previously considered? For the moment, we think the answer is no. Consider Vice President Harris. Her policy positions are similar to Biden’s on key issues of importance to markets. And even if they weren’t, the details of key legislative policies in a Democratic win scenario will likely be shaped by the party’s elected officials overall. So, our guidance for market impacts that investors should watch for in the event that Democrats win the White House is unchanged. Second, what does it mean for the state of the race? After all, markets in the past couple of weeks began anticipating a stronger possibility of Republican victory. It was visible in stronger performance in small cap stocks, which our equity strategy team credited to investors seeing greater benefits in that sector from more aggressive tax cuts under possible Republican governance. It was also visible in steeper yield curves, which could reflect both weaker growth prospects due to tariff risks, pushing shorter maturity yields lower, and greater long-term uncertainty on economic growth, inflation, and bond supply from higher US deficits – something that could push longer-maturity Treasury yields relatively higher. So, it's understandable that investors could question the durability of these market moves if the race appeared more competitive. But the honest answer here is that it's too early to know how the race has changed. As imperfect as they are, polls are still our best tool to gauge public sentiment. And there’s scant polling on Democratic candidates not named Biden. So, on the question of which candidate more likely enjoys sufficient voter support to win the election, it could be days or weeks before we have reliable information. That said, prediction markets are communicating that they expect the race to tighten – pricing President Trump’s probability of regaining the White House at about 60-65 per cent, down from a recent high of 75-80 per cent. So bottom line, a change in the Democratic ticket hasn’t changed the very real policy stakes in this election. We’ll keep you informed here of how it's impacting our outlook for markets. Thanks for listening. If you enjoy the podcast, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.

25 Juli 20242min

How Asian Markets View US Elections

How Asian Markets View US Elections

Our Chief Asia Economist explains how the region’s economies and markets would be affected by higher tariffs, and other possible scenarios in the US elections.----- Transcript -----Welcome to Thoughts on the Market. I’m Chetan Ahya, Morgan Stanley’s Chief Asia Economist. Along with my colleagues bringing you a variety of perspectives, today I’ll discuss a question that’s drawing increasing attention – just how the U.S. presidential election would affect Asian economies and markets. It’s Wednesday, July 24th, at 8 PM in Hong Kong. As the US presidential race progresses, global markets are beginning to evaluate the possibility of a Trump win and maybe even a Republican sweep. Investors are wondering what this would mean for Asia in particular. We believe there are three channels through which the US election outcome will matter for Asia. First, financial conditions – how the US dollar and rates will move ahead of and after the US elections. Second, tariffs. And third, US growth outcomes, which will affect global growth and end demand for Asian exports. Well, out of the three our top concern is the growth downside from higher tariffs. The 2018 experience suggests that the direct effect of tariffs is not what plays the most dominant role in affecting the macro outcomes; but rather the transmission through corporate confidence, capital expenditure, global demand and financial conditions. Let’s consider two scenarios. First, in a potential Trump win with divided government, China would likely be more affected from tariffs than Asia ex China. We see potentially two outcomes in this scenario – one where the US imposes tariffs only on China, and another where it also imposes 10 percent tariffs on the rest of the world. In the case of 60 percent tariffs on imports from China, there would be meaningful adverse effect on Asia's growth and it will be deflationary. China would remain most exposed compared to the rest of the region, which has reduced its export exposure to China over time and could see a positive offset from diversification of the supply chain away from China. In the case where the US also imposes 10 percent tariffs on imports from the rest of the world, we expect a bigger downside for China and the region. We believe that in this instance – in addition to the direct effect of tariffs on exports – the growth downside will be amplified by significant negative impact on corporate confidence, capex and trade. Corporate confidence will see bigger damage in this instance as compared to the one where tariffs are imposed only on China as corporate sector will have to think about on-shoring rather than continuing with friend-shoring. In the second scenario, in a potential Trump win with Republican sweep, in addition to the implications from tariffs, we would also be watching the possible fiscal policy outcomes and how they would shift the US yields and the dollar. This means that the tightening of financial conditions would pose further growth downside to Asia, over and above the effects of tariffs. How would Asia’s policymakers respond to these scenarios? As tariffs are imposed, we would expect Asian currencies to most likely come under depreciation pressure in the near term. While this helps to partly offset the negative implications of tariffs, it will constraint the ability of the central banks to cut rates. In this context, we expect fiscal easing to lead the first part of the policy response before rate cuts follow once currencies stabilize. It’s worth noting that in this cycle, the monetary policy space in Asia is much more limited than in the previous cycles because nominal rates in Asia for the most part are lower than in the US at the starting point. Of course, this is an evolving situation in the remaining months before the US elections, and we’ll continue to keep you updated on any significant developments. Thanks for listening. If you enjoy the show, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.

24 Juli 20244min

Almost Human: Robots in Our Near Future

Almost Human: Robots in Our Near Future

Our Head of Global Autos & Shared Mobility discusses what makes humanoid robots a pivotal trend with implications for the global economy.----- Transcript -----Welcome to Thoughts on the Market. I’m Adam Jonas, Morgan Stanley’s Head of Global Autos & Shared Mobility. Today I’ll be talking about an unusual but hotly debated topic: humanoid robots.It’s Tuesday, July 23rd, at 10am in New York. We've seen robots on factory floors, in displays at airports and at trade shows – doing work, performing tasks, even smiling. But over the last eighteen months, we seem to have hit a major inflection point.What's changed? Large Language Models and Generative AI. The current AI movement is drawing comparisons to the dawn of the Internet. It’s begging big, existential questions about the future of the human species and consciousness itself. But let’s look at this in more practical terms and consider why robots are taking on a human shape. The simplest answer is that we live in a world built for humans. And we’re getting to the point where – thanks to GenAI – robots are learning through observation. Not just through rudimentary instruction and rules based heuristic models. GenAI means robots can observe humans in action doing boring, dangerous and repetitive tasks in warehouses, in restaurants or in factories. And in order for these robots to learn and function most effectively, their design needs to be anthropomorphic. Another reason we're bullish on humanoid robots is because developers can have these robots experiment and learn from both simulation and physically in areas where they’re not a serious threat to other humans. You see, many of the enabling technologies driving humanoid robots have come from developments in autonomous cars. The problem with autonomous cars is that you can't train them on public roads without directly involving innocent civilians – pedestrians, children and cyclists -- into that experiment. Add to all of this the issue of critical labor shortages and challenging demographic trends. The global labor total addressable market is around $30 trillion (USD) or about one-third of global GDP. We’ve built a proprietary US total addressable market model examining labor dynamics and humanoid optionality across 831 job classifications, working with our economic team; and built a comprehensive survey across 40 sectors to understand labor intensity and humanoid ability of the workforce over time. In the United States, we forecast 40,000 humanoid units by 2030, 8 million by 2040 and 63 million by 2050 – equivalent to around $3 trillion (USD) of salary equivalent. But as early as 2028 we think you're going to see significant adoption beginning in industries like manufacturing, production, warehousing, and logistics, installation, healthcare and food prep. Then in the 2030s, you’re going to start adding more in healthcare, recreational and transportation. And then after 2040, you may see the adoption of humanoid robots go vertical. Now you might say – that’s 15 years from now. But just like autonomous cars, the end state might be 20 years away, but the capital formation is happening right now. And investors should pay close attention because we think the technological advances will only accelerate from here. Thanks for listening. And if you enjoy the show, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.

23 Juli 20243min

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fill-or-kill
borsmorgon
rss-inga-dumma-fragor-om-pengar
rss-dagen-med-di
rss-kort-lang-analyspodden-fran-di
24fragor
market-makers
dynastin
tabberaset