Curated Insights 2019.02.15

Even God couldn’t beat dollar-cost averaging

My point in all of this is that Buy the Dip, even with perfect information, typically underperforms DCA. So if you attempt to build up cash and buy at the next bottom, you will likely be worse off than if you had bought every month. Why? Because while you wait for the next dip, the market is likely to keep rising and leave you behind.

What makes the Buy the Dip strategy even more problematic is that we have always assumed that you would know when you were at every bottom (you won’t). I ran a variation of Buy the Dip where the strategy misses the bottom by 2 months, and guess what? Missing the bottom by just 2 months leads to underperforming DCA 97% of the time! So, even if you are somewhat decent at calling bottoms, you would still lose in the long run.

I wrote this post because sometimes I hear about friends who save up cash to “buy the dip” when they would be far better off if they just kept buying. My friends do not realize that their beloved dip may never come. And while they wait, they can miss out on months (or more) of continued compound growth. Because if God can’t beat dollar cost averaging, what chance do you have?

Miss the worst days, miss the best days

If you missed just the 25 strongest days in the stock market since 1990, you might as well have been in five year treasury notes. This remarkable data point is almost always followed by “time in the market beats timing the market.”

If by some miracle you managed to miss the 25 best days, you likely would have missed at least some of the worst days as well. You’ll notice a few things. The best days often follow the worst days, and the worst days occur in periods of above average volatility (red dotted line). These volatility spikes happen in lousy markets, so, if you can avoid the very best days, you will probably also avoid the very worst days, thereby avoiding lousy markets.

The chart below shows what happens if you were able to successfully avoid the 25 best and 25 worst days. This would have put you well ahead of the index. Of course this assumes perfect end of day execution, no transaction costs, and most importantly, no taxes.

Why time horizon works

When earnings compound but changes in valuation multiples don’t, the importance of the latter to your lifetime returns diminishes over time. Which is great, because changes in valuation multiples are the most unpredictable part of investing. Assuming earnings compound over time – an assumption, but a reasonable one – here’s what happens when valuation multiples go up or down by, say, 20% in a given year.

Valuation changes have a majority impact on your overall returns early on because company earnings are likely the same or marginally higher than when you made the investment. But as earnings compound over time, changes in any given year’s valuation multiples have less impact on the returns earned since you began investing. So as time goes on you have less reliance on unpredictable things (voting) and more on things you’re confident in (weighing).

Spotify’s podcast aggregation play

Anchor provides a way to capture new podcasters, leading them either to Spotify advertising or, in the case of rising stars, to Spotify exclusives. Critically, because Spotify has access to all of the data, they can likely bring those suppliers on board at a far lower rate than they have to pay for established creators like Gimlet Media.

Spotify Advertising, as I just suggested, makes a strong play to be the dominant provider for the entire podcasting industry. Spotify Advertising is already operating at a far larger scale than Midroll, the incumbent player, and Spotify has access to the data of the second largest podcast player in the market.

Gimlet Media becomes an umbrella brand for a growing stable of Spotify exclusive podcasts. Critically, as I noted above, the majority of these podcasts come to Spotify not because Spotify pays them millions of dollars but simply because Spotify is better at monetizing than anyone else.

Spotify doubles down on podcasts by acquiring Gimlet and Anchor

Spotify has acquired Gimlet Media and Anchor as it doubles down on its audio-first strategy. Gimlet is the podcast production house behind popular shows such as Reply All and The Cut. With Gimlet, Spotify has acquired a team with a proven record in original content production which should enhance its competitive position relative to Apple. Anchor provides easy-to-use software for podcast creation, ad insertion, and distribution, with more than 40% share of new podcasts produced. Anchor’s wealth of data should help Spotify identify and target original content, attracting more users to its ecosystem.

Podcasts should enable Spotify to differentiate its service and reduce its dependence on the music labels. Ever since Spotify’s initial public offering, the bear case has been that it never will deliver attractive returns because the labels will demand an ever-increasing share of its revenues. If its foray into original podcasts is successful, Spotify will convert some of its variable costs into fixed costs, improving its profit margins.

The ad-supported podcast business also is attractive. As shown above, podcast listener hours are roughly 12% those of radio but only 3% of the ad dollars. That gap should close with time. More important, as is the case with TV, traditional radio is in secular decline. A generation from now, podcasts could be the default format for spoken audio. If able to secure a leadership position, Spotify could enjoy a recurring revenue model with much higher margins in the years to come.

How DJI went from university dorm project to world’s biggest drone company

“In the very beginning, we had different competitors but they were small,” said Wang in a 2015 interview with Chinese-language news site of Guangzhou-based NetEase. “We made a lot of the right decisions to stand out in the industry … I think it is DJI’s success that made the drone industry attractive to investors and users.”

Chris Anderson, the chief executive of DJI’s major rival 3D Robotics, was quoted by US media as saying that the Chinese company has been “executing flawlessly” and “we just got beaten fair and square”.

“I do not see any strong competitor for DJI so far,” said Cao Zhongxiong, executive director of new technology studies at Shenzhen-based think tank China Development Institute. “The company can dominate the drone industry for some years to come.”

“We found success on the consumer side and are now leveraging the things we do very well into other industries. We are also expanding to serve different companies, operations and industries globally,” said Bill Chen, DJI’s enterprise partnership manager. He said the use of drones in agriculture will be a particular focus for the company.

DJI has rolled out a development kit so software developers can write applications for specific tasks, signalling the company’s shift from a hardware manufacturer to platform operator. “We aim to build a versatile platform that can be addressed by third-party developers as well,” Chen said.


Here’s what you need to know about Hikvision, the camera maker behind China’s mass surveillance system

The global video surveillance equipment market is expected to grow 10.2 per cent to US$18.5 billion in 2018 thanks to increasing demand for security cameras, according to a report by London-based market research firm IHS Markit in July. China’s professional video surveillance equipment market, which accounts for 44 per cent of all global revenue, grew by 14.7 per cent in 2017, outpacing the rest of the world, which grew by only 5.5 per cent, the report showed.

Around 42 per cent of the company is controlled by state-owned enterprises, with China Electronics Technology HIK Group owning 39.6 per cent of the company as the biggest shareholder. Hikvision had a leading share of 21.4 per cent for the global closed-circuit television and video surveillance equipment market in 2017, according to IHS Markit.

IHS Markit estimated that China had 176 million surveillance cameras in public and private areas in 2017, compared to only 50 million cameras in the US. The researcher expects China to install about 450 million new cameras by 2020. The researcher expects about 450 million new cameras to be shipped to the Chinese market by the end of 2020.

The global success of Marie Kondo -- Japan’s queen of tidying -- points to an important truth for Japan’s economy: there’s massive latent value still to be unlocked as women enter the labor force, research by Bloomberg Economics shows. Unpaid work in the home was worth as much as 138.5 trillion yen ($1.25 trillion) in 2016, or 25.7 percent of GDP, according to estimates by the Cabinet Office. If more women enter the labor force, and more domestic work is monetized, that could prove a double plus for Japan’s economy -- lifting the lackluster rate of growth.

Where big leaps happen

You can be great investor and still spend yourself broke. Ego is easier to develop and maintain than alpha, so good returns without the psychology necessary to hold onto those returns where money can continue compounding can be defeating. The math of compounding ensures that neither those who earn big returns but spend them quickly, or power savers who settle for low returns, will build meaningful wealth. There are many good investors. There are many good savers. It’s the intersection of both that compounding rules wild and big leaps are made.

The same mindset that allows visionaries to see things normal people can’t blinds them to realities normal people understand. If you’re staggeringly good at one thing, your mind probably has little bandwidth for other vital things necessary to make your skill work. Look around. There are a lot of people with crazy good ideas. But many people with crazy good ideas are crazy, and their idea is an outgrowth of a mind that has little patience for things like employee culture and appeasing investors, so their idea never stands a chance. A big leap happens when a visionary mixes with a sober operator who can tame the worst impulses of an otherwise great idea.


Will accountants become the weavers of the 21st century?

Intangible assets now make up 84 percent of the market value of the S&P 500. That’s up from just 17 percent in 1975. We investors clearly value things like investment in brands, new business processes, skills development for employees, R&D, etc., as drivers of future value. In other words, we believe these investments will create revenues in the future. But accounting can’t figure out how to value those non-tangible assets, so it treats those investments as expenses. That just doesn’t make sense.

Curated Insights 2018.12.21

Investing ideas that changed my life

If something has a chance of either destroying you or making you very wealthy and you don’t know how to measure what that chance is, it’s understandable that people default to high levels of credulity.

You can’t believe in risk without also believing in luck, because they are fundamentally the same thing—an acknowledgment that you are one person in a 7 billion player game, and the accidental impact of other people’s actions can be more consequential than your own. But the path of least resistance is to be keenly aware of risk when it affects you, and oblivious to luck when it helps you. Investors adjust returns for risk; never for luck. Companies disclose known risks in their annual reports; lucky breaks are rarely mentioned. The danger is that experiencing risk reduces confidence when it should merely highlight reality, which can make future decisions more conservative than they ought to be. Luck increases confidence without increasing ability, which makes people double down with less room for error than before. Realizing that luck and risk are ever-present and normal makes you accept that not everything is in your control, which is the only way to identify whatever is in your control.

If you think the world is all art, you’ll miss how much stuff is too complicated to think about intuitively. But if you think the world is all science, you’ll miss how much people like to take shortcuts, believe only what they want to believe, and have to deal with stuff that is too complicated for them to summarize in a statistic. Another way to think about this: Investing is not physics, which is guided by cold, immutable laws. It’s like biology, guided by the messy mutations and accidents of evolution, constantly adapting and sometimes defying logic.

“How long will this remain important given my strategy and time horizon?”


The dynamics of network effects

So how can entrepreneurs and founders navigate this era of seemingly diminishing network effects? The trick is to know what your network effects look like today, but also project how they’ll evolve over time. To that end, you’ll need to understand three aspects of your company and how they could change going forward: 1) your value proposition, 2) your users/inventory, and 3) your competitive ecosystem. Otherwise you could get caught flat-footed, claiming that network effects are dead.

Early on, more friends in Frank groups meant more demand and more liquidity, which created a bigger incentive for people to join those groups. But once a group had more than 7 people, they became less likely to lend or borrow: turns out people only have ~7 friends/family members they have that level of trust with! The network effects in this case went from positive to negative as an individual’s network outgrew the value proposition. This pattern has also held true for a number of other highly social products.

Platforms/marketplaces with more differentiated inventory have stronger and longer-lasting network effects, because they have a diversity of inventory that suits the unique preferences of customers (while maintaining just-enough substitutability across that inventory as well). For example, AirBnB can show users every iteration of lodging from $225-$325/night in Los Angeles, which overlaps with someone else’s search for something that costs $150-$250 and has a both a balcony and a hot tub. The platform is therefore more valuable on both sides of the marketplace than a site that just shows a commoditized set of standard and executive rooms. The network effects remain strong not only because it reaches a base level of liquidity across all these different types of inventory (making them valuable to more users), but because it also continues to see increasing returns with new supply.

When you forecast out your network effects — and more importantly, your growth strategy for acquiring and engaging more users — you will need to pay attention to the incremental users you’re likely to attract. Are they network “contaminants”, “neutrals”, or “contributors”? For a social network, adding a troll that disengages other users is a pollutant who removes value. Adding a lurker is neutral since that person doesn’t add or subtract any value from the network. Adding a great content producer contributes an enormous amount of value to the network. So, making sure to incent the users you want while disincenting the ones you don’t want, is key. This is why most great platforms also invest heavily in curation mechanisms to screen and remove bad inventory/users (e.g., Wikipedia’s editors, Airbnb’s reviews/onboarding, etc.). Unfortunately, these screening mechanisms don’t always work and sometimes the cost of finding strong contributors becomes very high, so the calculus of growth relative to cost matters a lot here.

While network effects businesses tend to be more defensible at scale, they are not immune to competition. But for these types of businesses it’s not just a matter of figuring out who your direct competitors are — you also need to think about the network overlap. If someone else has a similar network to yours, there’s always existential risk they’ll move into your market. Because they have a similar network already, they’ll more easily be able to enter your space (Instagram’s foray into Snapchat-like disposable “Stories” is a good example of this). This is also true where the competition may already have registered a superset of your network (e.g., DoorDash and Uber Eats; Didi and Uber in China).

The increasing speed of product iteration, the pace at which networks can scale, and the ease with which competitors can get started has therefore dramatically changed how we project network effects in businesses. Instead of winner-take-all markets where early movers may have once had a seemingly lasting advantage, network effects change more quickly than ever. Especially where specific factors — an asymptotic value proposition, network overlap, increasing number of contaminants, etc. — can lower the platform’s ability to generate a sustainable network effect in the future.

How much is social media worth? Estimating the value of Facebook by paying users to stop using it

As noted previously, Facebook reached a market capitalization of $542 billion in May 2018. At 2.20 billion active users in March 2018, this suggests a value to investors of almost $250 per user, which is less than one fourth of the annual value of Facebook access from any of our samples. This reinforces the idea that the vast majority of benefits of new inventions go not to the inventors but to the users. Further, our results provide evidence that online services can provide tremendous value to society even if their contribution to GDP is minimal. If the billions of people who use Facebook and other free online services derive anything close to $1000 per year in benefits, the productivity slowdown cited by Solow and others may not be reflected in a slowdown in the growth rate of welfare measures like consumer surplus. Many observers have commented on the difficulties of measuring productivity growth in great technological change. While our current study does not offer a solution that can be broadly applied to address this challenge, it does present a methodology and results that provide important insight into the scale of the issue when considering the online revolution of our current era.

Concerns about data privacy, such as Cambridge Analytica’s alleged problematic handling of users’ private information, which are thought to have been used to influence the 2016 United States presidential election, only underscore the value Facebook’s users must derive from the service. Despite the parade of negative publicity surrounding the Cambridge Analytica revelations in mid-March 2018, Facebook added 70 million users between the end of 2017 and March 31, 2018. This implies the value users derive from the social network more than offsets the privacy concerns.


Alibaba stock poised to return 200%, advisor says

Alibaba has a unique business model where it operates solely as a platform, rather than a middle man. The company doesn’t have to purchase inventory, provide logistics, or distribute product – it simply collects fees from merchants for advertising and commissions for completed transactions. This asset light model has allowed BABA to compound earnings more than 43% per year for the last 5 years with very little incremental capital.

The GMV for BABA in the last twelve months was a staggering $4.8 trillion yuan, or $768B USD. This towers over Amazon’s $186B or Walmart’s $495B. GMV is nearly 7% of the GDP of China. In the last 5 years GMV has compounded at an annual growth rate of 29% per year.

Core Commerce is the largest and most profitable division of BABA representing 71% of total revenue and 100% of owner earnings. This division generates revenue by selling advertising to merchants and collecting commissions ranging from 0.3% to 5.0% on sales that occur across BABA’s e-commerce platforms. In the last 5 years revenue from the Core Commerce division has compounded at a rate of 43% per year.

Cloud Computing provides individuals, merchants, and businesses across China online access to the vast computing resources of BABA’s datacenters. Alibaba Cloud offers a complete suite of cloud services, including elastic computing, database, storage, network virtualization services, large scale computing, security, management and application services, big data analytics, and more. Alibaba Cloud has grown at an average pace of more than 100% in the last 5 years. While the business currently does not generate owner earnings due to the aggressive investment in market share, we are confident that the division will be highly profitable in the future.

Digital Media & Entertainment offers an online platform, Youku, where users can watch TV shows, movies, and other content. It is similar to the business model of Netflix, where revenue is generated by selling subscriptions and advertising. While both revenue and daily average subscriber growth has been impressive averaging more than 100% per year for the last 3 years, the business loses money annually due to the high cost of purchasing content. Unlike Alibaba Cloud, which we are confident will be profitable based on comparisons to AWS and Google Cloud, we are less confident in the future profitability of Youku. Comparable companies, like iQiyi and Netflix, have never generated positive cash flow for owners and the path to a successful business model is not presently clear. We are hopeful that this business division will be spun off as a standalone business in the upcoming years.

“As a result of our broad value propositions to consumers, we have seen increased engagement over time. The longer consumers have been with us, the larger numbers of orders they tend to place, across a more diverse range of product categories, and the more they tend to spend on our China retail marketplaces. For example, in the twelve months ended March 31, 2018, consumers who have been with us for approximately five years placed an average of 132 orders in 23 product categories with average spending of approximately RMB12,000 in terms of GMV, whereas consumers who have been with us for approximately one year placed an average of 27 orders in 6 product categories with average spending of approximately RMB3,000 in terms of GMV. In the twelve months ended March 31, 2018, the average annual active consumer on our China retail marketplaces placed 90 orders in 16 product categories with average spending of approximately RMB9,000 in terms of GMV.”

The business case for serverless

The case for serverless starts with a simple premise: if the fastest startup in a given market is going to win, then the most important thing is to maintain or increase development velocity over time. This may sound obvious, but very, very few startups state maintaining or increasing development velocity as an explicit goal. “Development velocity,” to be specific, means the speed at which you can deliver an additional unit of value to a customer. Of course, an additional unit of customer value can be delivered either by shipping more value to existing customers, or by shipping existing value—that is, existing features—to new customers.

Whereas a ‘normal’ cloud server like AWS’s EC2 offering had to be provisioned in advance and was billed by the hour regardless of whether or not it was used, AWS Lambda was provisioned instantly, on demand, and was billed only per request. Lambda is astonishingly cheap: $0.0000002 per request plus $0.00001667 per gigabyte-second of compute. And while users have to increase their server size if they hit a capacity constraint on EC2, Lambda will scale more or less infinitely to accommodate load — without any manual intervention. And, if an EC2 instance goes down, the developer is responsible for diagnosing the problem and getting it back online, whereas if a Lambda dies another Lambda can just take its place.

Although Lambda—and equivalent services like Azure Functions or Google Cloud Functions—is incredibly attractive from a cost and capacity standpoint, the truth is that saving money and preparing for scale are very poor reasons for a startup to adopt a given technology. Few startups fail as a result of spending too much money on servers or from failing to scale to meet customer demand — in fact, optimizing for either of these things is a form of premature scaling, and premature scaling on one or many dimensions (hiring, marketing, sales, product features, and even hierarchy/titles) is the primary cause of death for the vast majority of startups. In other words, prematurely optimizing for cost, scale, or uptime is an anti-pattern.

Herein lies the magic of using managed services. Startups get the beneficial use of the provider’s code as an asset without holding that code debt on their “technical balance sheet.” Instead, the code sits on the provider’s balance sheet, and the provider’s engineers are tasked with maintaining, improving, and documenting that code. In other words, startups get code that is self-maintaining, self-improving, and self-documenting—the equivalent of hiring a first-rate engineering team dedicated to a non-core part of the codebase—for free. Or, more accurately, at a predictable per-use cost. Contrast this with using a managed service like Cognito or Auth0. On day one, perhaps it doesn’t have all of the features on a startup’s wish list. The difference is that the provider has a team of engineers and product managers whose sole task is to ship improvements to this service day in and day out. Their exciting core product is another company’s would-be redheaded stepchild.

One day, complexity will grow past a breaking point and development velocity will begin to decline irreversibly, and so the ultimate job of the founder is to push that day off as long as humanly possible. The best way to do that is to keep your ball of mud to the minimum possible size— serverless is the most powerful tool ever developed to do exactly that.

Huawei ban casts shadow over $100bn economic sphere

Huawei reported sales of 603.62 billion yuan ($87.4 billion at current rates) last year — not far off from Microsoft and Google parent Alphabet, although less than half as much as Apple. Its two biggest telecom equipment rivals, Nokia and Ericsson, had net sales of 23.1 billion euros ($26.1 billion) and 201.3 billion krona ($22.2 billion), respectively, last year. It ranks as the world’s top seller of base stations for wireless networks with a 28% share, the No. 2 maker of smartphones and routers, and the fourth-largest server manufacturer.

Privately owned Huawei spent $14 billion on outside procurement of semiconductors alone last year. Much of this came from American companies, with $1.8 billion in purchases from Qualcomm and $700 million from Intel, according to Chinese media.

Hikvision, which is more than 40% controlled by state-owned companies, is the world’s leading maker of security cameras and offers image-analysis technology powered by artificial intelligence. Privately run Hytera boasts world-leading production capacity for specialized wireless communications technology used by police and the military. Hikvision and Hytera in recent years have both acquired foreign peers — something that Beijing normally puts strict limits on — to expand their technological capabilities and overseas presence.

LVMH inks $2.6 billion deal to buy ‘21’ club operator Belmond

The acquisition is one of LVMH founder Bernard Arnault’s biggest, rivaling the purchases of Bulgari and Loro Piana. It comes as consumers shift spending toward trips, health clubs, restaurants and entertainment and interest in shopping malls dwindles.

The acquisition addresses another challenge facing LVMH and rivals Kering SA and Richemont. They’ve snapped up so many of the world’s leading brands that there are few prominent leather and couture labels left to buy. The Louis Vuitton owner, formed through a merger with Champagne and cognac maker Moet Hennessy, has already expanded into perfume, watches, jewelry and cosmetics retail. Prominent remaining independents like Chanel and Hermes have shown little inclination to sell.

The deal will expand the French company’s high-end hospitality offerings. LVMH formed a hotel management group in 2010 to oversee its operations in the sector, which include properties under the Cheval Blanc name in locations like the Courchevel ski resort in the French Alps. LVMH’s Bulgari jewelry brand has six hotels, including one in Shanghai that opened in July. It plans to open hotels in Moscow, Paris and Tokyo in the next four years.

Belmond, which used to be known as Orient-Express Hotels, owns or has stakes in more than 30 high-end hotels around the world, from St. Petersburg to Anguilla in the Caribbean. In addition to the ‘21’ Club power restaurant in Manhattan, its stable of luxury properties includes a cruise line in France, a London-to-Venice train line and safari camps in Botswana.

What straight-A students get wrong

The evidence is clear: Academic excellence is not a strong predictor of career excellence. Across industries, research shows that the correlation between grades and job performance is modest in the first year after college and trivial within a handful of years. For example, at Google, once employees are two or three years out of college, their grades have no bearing on their performance.

Academic grades rarely assess qualities like creativity, leadership and teamwork skills, or social, emotional and political intelligence. Yes, straight-A students master cramming information and regurgitating it on exams. But career success is rarely about finding the right solution to a problem — it’s more about finding the right problem to solve.

Getting straight A’s requires conformity. Having an influential career demands originality. In a study of students who graduated at the top of their class, the education researcher Karen Arnold found that although they usually had successful careers, they rarely reached the upper echelons. “Valedictorians aren’t likely to be the future’s visionaries,” Dr. Arnold explained. “They typically settle into the system instead of shaking it up.”

If your goal is to graduate without a blemish on your transcript, you end up taking easier classes and staying within your comfort zone. If you’re willing to tolerate the occasional B, you can learn to program in Python while struggling to decipher “Finnegans Wake.” You gain experience coping with failures and setbacks, which builds resilience.

Employers: Make it clear you value skills over straight A’s. Some recruiters are already on board: In a 2003 study of over 500 job postings, nearly 15 percent of recruiters actively selected against students with high G.P.A.s (perhaps questioning their priorities and life skills), while more than 40 percent put no weight on grades in initial screening. Straight-A students: Recognize that underachieving in school can prepare you to overachieve in life. So maybe it’s time to apply your grit to a new goal — getting at least one B before you graduate.

Curated Insights 2018.08.24

Tech firms account for 60% of profit margin growth in the past 20 years

The information technology sector – which contains the bulk of superstar firms – accounts for 60% of the increase in S&P 500 profit margins over the past 20 years, while the “adjacent tech” sector, comprising the health care (including biotech firms) and consumer discretionary sectors (incl. firms such as Booking Holdings and Expedia) accounts for 40% of the rise. It also means the bulk of the market – i.e., all firms ex. tech, healthcare and consumer discretionary – have seen no margin growth at all since 1998.

Dear Elon: An open letter against taking Tesla private

First, as a private company, Tesla will be unable to capitalize on its competitive advantages as rapidly and dramatically as it would as a public company, an important consideration given the network effects and natural geographic monopolies to which autonomous taxi and truck networks will submit. Second, in the private market, Tesla would lose the free publicity associated with your role as the CEO of the public company not only with the bestselling mid-sized premium sedan in the US, but also arguably in the best position to launch a completely autonomous taxi network nationwide in the next few years. Just ask Michael Dell: he wants to lead a public company once again for a reason. Third, you will deprive most of your individual investors of a security to bet on you and your strategy, ceding that opportunity to high net worth and institutional investors. Finally, if you do not take Tesla private, you will be surprised and gratified at investor reaction once they realize and understand the scope and ramifications of your long-term vision and strategies.

Thoughts on Xiaomi’s eighth anniversary and inaugural month as a public company

As of March 2018, Xiaomi already had 38 apps with more than 10 million monthly active users, and 18 apps with more than 50 million monthly active users, including the Mi App Store, Mi Browser, Mi Music, and Mi Video apps. Rather than paying search engines to acquire users, Xiaomi is essentially getting paid for acquiring users through selling its smartphones. This allows Xiaomi to have a negative CAC (customer acquisition cost) for its Internet services.

Another under-appreciated pillar of Xiaomi’s growth is its “ecosystem strategy.” Xiaomi strategically invests in many startups as well as the many Internet services providers they work with, both in China and outside of China. Companies in the Xiaomi ecosystem include SmartMi (air purifiers), Zimi (power banks), Huami (Mi bands), Chun Mi (rice cookers), and 80-plus more. Thanks to these prolific investments, you can find a wide variety of products in any Xiaomi store, from scooters to ukeleles (see below). As a result, every time consumers visit a Xiaomi store, they can find something new, and the frequency of store visits is a lot higher than typical smartphone brands, even Apple.

Ensure the price of the hardware is as low as possible so the company can grow market share and users. Sell the phones online, direct-to-consumer, bypass the middlemen, and past the enormous cost savings to consumers. Overtime, the company will monetize on Internet services.

When Yahoo! Invested in Alibaba (another GGV portfolio company) in 2005, the world had 1 billion Internet users. Now, the world has 3.5 billion Internet users. Over the last 13 years, Alibaba’s valuation increased 100 times from $5 billion to $500 billion. The fact that China was the fastest growing market for Internet users during this period, coupled with Alibaba’s amazing ability to execute, turned the company into a growth miracle. In the next 12-13 years, the world will most likely grow to 5 billion Internet users. The world’s next 1 billion Internet users that will come online in the next decade – via affordable but high-quality smartphones – are outside of the US. They are in the 74 countries that Xiaomi is already in today. Going forward, Xiaomi is very well-positioned to take advantage of the next phase of growth through selling hardware, software, and bundled Internet services, as well as by investing in partner companies in those countries.


Does Tencent Music deserve a Spotify-like valuation?

Tencent Music this year could generate revenue less than half of Spotify’s projected $6 billion. Tencent Music is profitable, which is rare in music-streaming. The firm pulled in roughly two billion yuan ($290 million) in net income last year. Spotify, in contrast, reported a net loss of about $1.4 billion last year, although nearly $1 billion of that was due to a one-time financing charge.

In terms of users, Tencent Music is way bigger than Spotify. Tencent Music operates streaming service QQ Music as well as karaoke and live-streaming music apps Kugou and Kuwo. The three services had a combined 700 million monthly users in China as of September 2017, according to Tencent Music. Tencent Music operates a fourth service, the karaoke app WeSing, which at the end of last year had more than 460 million registered users. By comparison, Spotify had 180 million monthly users and 83 million paid subscribers as of June, the company has said. But Spotify’s ratio of paid versus free users is higher than at Tencent Music, where only a fraction of its Chinese users pay for music.

The secret of Tencent Music’s profitability is virtual goods and cheap music rights. Most of its revenue comes from non-subscription services including karaoke and live-streaming services, where users can pay to send virtual gifts to performers.

Swelling clout of US corporate giants is depressing pay, analysts say

As the economic weight of a small number of highly profitable and innovative “superstar” companies has increased, workers’ slice of the pie has fallen in their industries. This may have contributed to a broader fall in labour’s share of income that has been particularly noticeable in the US since the beginning of the 2000s. At the same time, corporate profitability has surged to record highs. 

Goldman Sachs analysts say rising product and labour market concentration has imposed a drag of 0.25 percentage points on annual wage growth since the early 2000s. They also stress, however, that America’s dreary productivity growth is a bigger problem.

ARK Disrupt Issue 138: GPUs, crypto, fintech, mobility, and disease

Turing will be able to perform graphics, deep learning, and ray tracing operations simultaneously, a first for any processor. The Turing GPU can perform 10 billion operations per second, enabling ray tracing in real time. In addition, it is capable of 125 trillion deep learning operations and 16 trillion graphics operations per second. Nvidia and other chip companies rarely dedicate hardware to a specific algorithm in the absence of a large market opportunity. Nvidia posits that the $2,000 Turing ray tracing GPU will target 50 million artists and designers globally. A 10% hit rate would create a $10 billion market, nearly matching Nvidia’s annual revenue today.

Because 98% of all genetic diseases are polygenic, that is involving more than one gene, the clinical utility of whole genome sequencing (WGS) is taking on new importance. To date, roughly two million whole human genomes have been sequenced. If DNA sequencing costs continue to drop by 40% per year, the number of whole human genomes sequenced should increase at 150% rate per year. As a result, genome-wide association studies should power poly-epigenetic models of disease and result in molecular diagnostic tests which introduce more science into health care decision-making.

Why battling bugs is a booming business, and may be getting bigger

Preventing pest infestations—or mitigating them after the fact—is particularly important for restaurants, hotels, and hospitals. Not only can regulators impose heavy fines or shut down businesses that violate health ordinances, customers who encounter a bug-infested business may shame them on social media. “In the age of customer review apps such as Yelp, businesses are well-aware that a customer report or, worse, photo of a pest infestation can be shared around the internet within minutes and potentially damage their brand,” says Zhu. With reputations at stake, businesses in the food and beverage, hospitality, and health care sectors are especially inclined to hire a pest control company promptly when faced with an infestation. In fact, many commercial customers schedule routine treatments to prevent potential infestations, providing pest control companies with a recurring revenue stream.

The companies best positioned to thrive in this environment are those with access to sufficient capital to acquire or open new locations. Operating an extensive branch network confers a number of competitive advantages, including the opportunity to generate greater brand recognition through cost-effective advertising and the ability to operate with lower average costs due to economies of scale. In recent years, consolidation has been intense in North America, which is still home to about half the world’s pest control companies. In fact, four of the 100 largest pest control companies in the US were acquired in May 2018 alone, two of them by US-based Terminix, and one each by European firms Rentokil and Anticimex.

Despite modern pesticides and the efforts of tens of thousands of companies, pest control remains a Sisyphean task. “It’s easy to kill bugs, but it’s much harder to keep them from coming back,” Zhu says. For the foreseeable future, the bedbugs will continue to bite—and demand for professional pest control services should continue to grow.

Litigation finance offers investors attractive yields

Funds that invest in litigation are on the rise. In the past 18 months some 30 have launched; over $2bn has been raised. Last year Burford Capital, an industry heavyweight, put $1.3bn into cases—more than triple the amount it deployed in 2016. Lee Drucker of Lake Whillans, a firm that funds lawsuits, says he gets calls weekly from institutional investors seeking an asset uncorrelated with the rest of the market—payouts from lawsuits bear no relation to interest-rate rises or stockmarket swings.

Returns are usually a multiple of the investment or a percentage of the settlement, or some combination of the two. Funders of a winning suit can expect to double, triple or quadruple their money. Cases that are up for appeal, where the timespan is short—usually 18-24 months—and the chance of a loss slimmer, offer lower returns. New cases that are expected to take years offer higher potential payouts.

As funders compete for high-quality investments, opportunities in new markets arise. Bentham IMF, a litigation funder based in New York, has joined Kobre & Kim, a law firm, to set up a $30m fund for Israeli startups to pursue claims against multinationals—for example, over trade-secret violations. A burgeoning secondary market is likely to develop further, allowing investors to cash out before long-running suits are closed. Burford recently sold its stake in an arbitration case concerning two Argentine airlines for a return of 736%. Such mouth-watering profits should keep luring capital into the courtroom.

Network-based businesses will disrupt all sectors of the economy

Networks are even more powerful because their foundations are even stronger. Large corporations leveraged mass production, mass distribution, and economies of scale. Networks leverage mass computation, mass connectivity, and network effects. Because computation and connectivity improve at exponential rates, the owner of a network has insurmountable advantages over the owner of a traditional corporation.

Corporations believe that bits enhance atoms. Networks recognize that bits are the new capital and atoms are the new labor.

Dragon quest

China now has over 100 cities with populations topping one million, compared to the entire continent of Europe which has a paltry 34. Ever heard of Zhengzhou? Don’t worry if not, it’s a tier two city in Henan province that only just makes it into China’s top 20, yet it has a bigger population than the whole of Denmark. Expressed another way, China already has more millennials than the US has people.

China is of course the world’s second biggest economy and poised one day to reach the top, but consider this: if its per capita wealth were to catch up with that of Hong Kong’s, then its resulting GDP would not just surpass the United States’ today, but triple it. This is more simply reflected in the fact that each year approximately 35 million Chinese enter the middle and affluent classes. No wonder multinationals around the world are flinging everything they have at the country.


China reaches 800 million internet users

The U.S is estimated to have around 300 million internet users. The number of internet users in China is now more than the combined populations of Japan, Russia, Mexico and the U.S., as Bloomberg noted. The new statistic takes internet adoption in the country to 57.7 percent, with 788 million people reportedly mobile internet users. That’s a staggering 98 percent and it underlines just how crucial mobile is in the country.

Jakarta, the fastest-sinking city in the world

It sits on swampy land, the Java Sea lapping against it, and 13 rivers running through it. So it shouldn’t be a surprise that flooding is frequent in Jakarta and, according to experts, it is getting worse. But it’s not just about freak floods, this massive city is literally disappearing into the ground.

“If we look at our models, by 2050 about 95% of North Jakarta will be submerged.”

It’s already happening – North Jakarta has sunk 2.5m in 10 years and is continuing to sink by as much as 25cm a year in some parts, which is more than double the global average for coastal megacities. Jakarta is sinking by an average of 1-15cm a year and almost half the city now sits below sea level. The impact is immediately apparent in North Jakarta.

There is technology to replace groundwater deep at its source but it’s extremely expensive. Tokyo used this method, known as artificial recharge, when it faced severe land subsidence 50 years ago. The government also restricted groundwater extraction and businesses were required to use reclaimed water. Land subsidence subsequently halted. But Jakarta needs alternative water sources for that to work. Heri Andreas, from Bandung Institute of Technology, says it could take up to 10 years to clean up the rivers, dams and lakes to allow water to be piped anywhere or used as a replacement for the aquifers deep underground.

We all have it now

Think about that. It took 7 months for the biggest volcanic explosion in the last 10,000 years, one that affected the global climate and killed twice as many people as any other volcanic explosion in recorded history, to become news. If the same event were to happen today, we could have someone tweeting it within minutes and we would probably have video footage online within the hour. This is possible because of the democratization of information. We all have it now. Historically, having an informational edge was worth something. Being faster or having better access meant making more money. Not anymore.

This is where we are. Only those using advanced quantitative techniques have any chance of exploiting anomalies in the data. The rest of us will need to do something else. We went from a world of privileged access to information to a world where a single tweet can change everything. A world where anyone can break the story, anyone can get the data, and anyone can be a media company. If, as Brendan Mullooly points out, today’s edges are tomorrow’s table stakes, what does that leave the typical investor to do? The answer lies in a maxim from Jim O’Shaughnessy: you must arbitrage human nature.


Buyback derangement syndrome

Investors generally do not spend the money paid out in buybacks on champagne bubble baths or other forms of consumption. Rather, they reinvest it in other stocks and bonds. Buybacks thus facilitate a movement of capital from companies that don’t need it to those that do. That’s how markets are supposed to work.

Yet another claim is that much of the market rise over the last few years has been from buybacks. The numbers don’t bear this out. The direction is plausible, as researchers have found that share prices do tend to increase—by around 1%—when buybacks are announced. Several explanations have been offered for this positive reaction including that investors see repurchases as a signal that management thinks shares are undervalued, and that investors cheer when management returns cash to shareholders rather than, perhaps, wasting it on “empire building.” These explanations are behavioral effects at the margin.

Indexers will cause the next stock market crash?

My Bloomberg colleague Eric Balchunas points out that during the 2008 credit crunch, the money flows were into index funds and exchange-traded funds; more than $205 billion was put into these funds while active funds experienced $259 billion in outflows. In other words, the 57 percent sell-off of U.S. equity markets during the financial crisis gives us a good idea how passive indexers will behave when markets crash: they become net buyers while active funds become net sellers.

Beyond the 2008 crash, we have seen several market corrections since 2009. As my colleague, Michael Batnick observed, from May to October 2011, the Standard & Poor’s 500 Index fell about 20 percent. Again, between May 2015 and mid-February 2016 the S&P 500 fell about 14 percent. Other indexes, such as the Russell 2000 fell even more. And what happened? Passive index funds continued to gain market share at the expense of actively managed funds.

Which raises the question: Just who was “cruelly exposed” in those corrections? By all lights, it looks like it was the actively managed funds.

Curated Insights 2018.05.06

WeWork’s $20 billion dream: The lavishly funded startup that could disrupt commercial real estate

The company makes money primarily through rent arbitrage: charging its members more than it has to pay its landlords. The principal means of accomplishing this is by packing a lot of people into its locations. In WeWork’s buildings, the average square footage per person hovers around 50 square feet. This compares to 250 sq ft for commercial offices industry-wide. Despite this small footprint, members pay an average of $8,000 per year, with WeWork capturing a healthy 30 – 40% operating margin, according to the company.

WeWork is shifting from leases to co-management deals. In this scenario, landlords might pay for the renovation and buildout of offices and/or split membership profits 50/50, similar to the management agreement popularized by the hotel industry. Neumann says WeWork has followed this strategy nearly 100% of the time in markets like India and Israel.

In cities where there are numerous WeWork locations, each additional location serves to drive down membership churn. Artie Minson, WeWork’s former COO and current President, has noted, “in cities where WeWork opened more locations, membership cancellations declined.” While the vast majority of WeWork’s membership plans assign its members to a location, it does let members switch between locations.

First, it can quickly expand at scale, opening between 500K – 1M sqare feet per month. And second, it can design spatially efficient offices in non-identical locations. Both of these accomplishments rely on defensible strategic advantages, namely, a control of the complete building lifecycle and a mastery of data-informed design.

Why Amazon and Google haven’t attacked banks

Cloud spending by banks is expected to skyrocket. By 2021, banks globally are forecast to spend more than $12 billion on public cloud infrastructure and data services, up from $4 billion last year. By many metrics, the cloud business offers better opportunities to tech firms than, say, retail banking. Overall cloud-industry revenues are growing at about 60% year-over-year, Jefferies estimates. Meanwhile, retail-banking revenue, comprising products such as checking accounts and cards, at most big banks is growing at a fraction of that rate. And any real foray into banking or financial products could also entail substantial regulatory issues and expense.

Experts say Tesla has repeated car industry mistakes from the 1980s

Robots are supposed to allow production of more cars with fewer workers, but one ironic consequence of over-automation is that it can actually require more workers. Ingrassia and White report that GM’s Hamtramck plant had around 5,000 workers on its payroll in the mid-1980s, compared to 3,700 workers at a nearby Ford plant with many fewer robots. Yet the Ford plant was “outproducing Hamtramck by a wide margin.”

This kind of rapid iteration works well in the software industry because a programmer can change one line of code and then re-build the entire project with the click of a button. But physical manufacturing isn’t like that. Car design decisions have to be translated into physical tooling that takes months to build and fine-tune. And rapid iteration is a nightmare for suppliers, Shook added. “I talked to a supplier and asked ‘who’s your worst customer'” Shook said. “The answer was Tesla. How can you be a good supplier when you don’t know when you’re supposed to deliver?”

Free cash flow to whom?

Alphabet has 1,000 shares trading at $50. They buy back 100 shares for $500. They should now have 900 shares. However in their financial statements, it says they now have 1100 shares, due to 200 shares being issued to employees. Those 100 net new shares are worth $500, which we then subtract from the financial year’s free cash flow, to arrive at a new Free Cash Flow with Hypothetical Cash Compensation™ metric.

When a company’s share price is rising, prospective employees are more than happy to be paid in stock units that incrementally mature over four years. Companies with the best-performing stocks will be able to attract the best talent, which (all else being equal) should improve the performance of the business, and therefore increase the share price in a virtuous cycle.

But that cycle can effectively function as a type of confidence game as well. While it makes good times look especially good, it can make the bad times far worse. In a severe share-price decline, engineers will likely be reticent to receive stock-based compensation instead of cold hard cash, which would put pressure on operating margins and cash flow. And as share prices fall, companies would have to pony up more stock to provide the same compensation, and further dilute the shareholder base.

Air pollution kills 7 million people a year, WHO reports

Nine of 10 people around the world are exposed to dangerously high levels of pollutants that can lead to cancer and cardiovascular diseases. Air pollution levels were the highest in the eastern Mediterranean and southeast Asia, where in some areas airborne toxins were five times WHO limits and disproportionately affected the poor and most vulnerable. About 3 billion people are breathing deadly fumes from domestic cooking stoves and fires. Household air pollution caused an estimated 3.8 million deaths in 2016.

The Grumpy Economist: Basecoin

The Fed was founded in 1907 in part to provide an “elastic currency,” exactly the lesson missing from bitcoin and at the center of basecoin. Alas, the Fed trades money for treasury bonds, backed by taxes, not for Fed bonds backed by future seignorage. And laws against using foreign currency or issuing private currency help a lot. Basecoin buyers will soon learn the lesson that bonds cannot pay more interest than money in a liquid market, and that claims to future seignorage cannot back money in the face of competitive currencies.


Ray Dalio: An unconventional take on success

Everything I’ve done with a singular focus on economics has fallen short. Everything I’ve pursued because I believed in the intrinsic value has exceeded expectations. Assessing a business based on unit economics is especially popular today. But a durable competitive advantage comes from the value it creates for its stakeholders. If you get that right, the unit economics will follow. Economics is not always an accurate reflection of intrinsic value. The same can be said of a career.

Curated Insights 2017.11.12

(Guardian: Apple secretly moved parts of empire to Jersey after row over tax affairs)
(BBC: Paradise Papers: Apple’s secret tax bolthole revealed)
(Apple: The facts about Apple’s tax payments)

“US multinational firms are the global grandmasters of tax avoidance schemes that deplete not just US tax collection, but the tax collection of almost every large economy in the world.”

“Apple claims to be the largest US corporate taxpayer, but by sheer size and scale it is also among America’s largest tax avoiders … [It] should not be shifting its profits overseas to avoid the payment of US tax, purposefully depriving the American people of revenue.”

One theory is that AOE “bought” the rights owned by ASI taking advantage of an incentive called capital allowance. This means that if a multinational buys its own intellectual property through an Irish subsidiary, the cost of that purchase will generate many years of tax write-offs in Ireland.


This is how Amazon could invade the pharmacy business

Drug delivery would also add to the value of Amazon Prime membership. Customers who pay the $99-per-year price for Prime membership are its most loyal customers, and Amazon is constantly looking for ways to increase the value of membership to keep shoppers from using competitors.

In generics especially, there are numerous markups along the way that Amazon could eliminate or pare back to capture market share.

Amazon already owns wholesale distribution licenses in at least 13 states and could build its own pharmacy business from scratch, restructuring the drug supply chain in the process. For now, these wholesale licenses may be part of Amazon’s business-to-business sales effort, which would focus on hospitals, doctors’ offices and dentists. In the longer term, however, the drug-distribution licenses could be the first step in building a hub-and-spoke model for drugs that could eventually serve consumers.

There are thousands of different drugs and dosages with prices that vary widely among drugstores and insurance plans. This makes it hard for patients to know when they are getting the best deal.


Tesla hits bumps in pursuit of mass market

Potential problems uncovered include workers in its Fremont plant manually operating robots that should be automated, several cost overruns and delays from suppliers because of late changes to design specifications, and difficulties sequencing parts once they arrive at the plant leading to a large number of unfinished vehicles coming off the line.

 

In multiple instances, the company shipped cars from the factory that lacked key parts such as computer modules, digital displays, or even seats. These parts were flown to Tesla-owned dealers, who then assembled them into the vehicle before completing the shipments to customers, according to several people familiar with the practice.


 

Apple acquired InVisage with well over 100 patents on quantum dot technology for advanced cameras and beyond

Apple’s acquisition of InVisage is very exciting as iPhone cameras are becoming a key feature to keep their smartphones ahead of the pack. Advancing video will be very exciting to see come to the iPhone and beyond. Between the advances in Quantum Dot technology and depth cameras, they have expertise in many markets that Apple could tap into over time.

Why AI is the ‘new electricity’

The U.S. and China lead the world in investments in AI, according to James Manyika, chairman and director of the McKinsey Global Institute. Last year, AI investment in North America ranged from $15 billion to $23 billion, Asia (mainly China) was $8 billion to $12 billion, and Europe lagged at $3 billion to $4 billion. Tech giants are the primary investors in AI, pouring in between $20 billion and $30 billion, with another $6 billion to $9 billion from others, such as venture capitalists and private equity firms.

Where did they put their money? Machine learning took 56% of the investments with computer vision second at 28%. Natural language garnered 7%, autonomous vehicles was at 6% and virtual assistants made up the rest. But despite the level of investment, actual business adoption of AI remains limited, even among firms that know its capabilities, Manyika said. Around 40% of firms are thinking about it, 40% experiment with it and only 20% actually adopt AI in a few areas.

The reason for such reticence is that 41% of companies surveyed are not convinced they can see a return on their investment, 30% said the business case isn’t quite there and the rest said they don’t have the skills to handle AI. However, McKinsey believes that AI can more than double the impact of other analytics and has the potential to materially raise corporate performance.


Why multi-cloud is the next big thing in technology

Why has cloud become so indispensable to so many companies? Because pretty much every company has become a software company, and they all need to deliver their software faster and to more people than ever before.

Avoiding lock-in and saving cost; Differentiation; responding to cloud vendor pressure; resiliency, redundancy, performance and data sovereignty; M&A and consolidation; access to resources.

A recent survey by RightScale found that 85% of enterprises now have a multi-cloud strategy, up from 82% in 2016. This creates immense opportunities for startups that can help companies work seamlessly across various different cloud providers. Startups that promise cloud neutrality – not being locked into one particular vendor – will have significant advantage in this new battlefield.


A decade after DARPA: Our view on the state of the art in self-driving cars

Developing a system that can be manufactured and deployed at scale with cost-effective, maintainable hardware is even more challenging. We are innovating across the sensing hardware and software stack to lower costs, reduce sensor count, and improve range and resolution. There remains significant work to be done to accomplish these conflicting objectives and get the technology to reliably scale.

Testing stochastic systems requires a significant number of repetitions generated by real-world data for it to be representative. That means we must gather millions of miles of road experience to teach the software to drive with confidence. (Imagine needing to drive millions of miles to get your driver’s license!) But not all miles are created equal, so “accumulated miles” is not an expressive enough metric to track progress. Think of it this way: The skills you acquired learning to drive in a quiet Midwestern town will not translate should you find yourself driving in the heart of Manhattan.

We’re still very much in the early days of making self-driving cars a reality. Those who think fully self-driving vehicles will be ubiquitous on city streets months from now or even in a few years are not well connected to the state of the art or committed to the safe deployment of the technology. For those of us who have been working on the technology for a long time, we’re going to tell you the issue is still really hard, as the systems are as complex as ever.


How many robots does it take to fill a grocery order?

The U.K.’s biggest online grocer hit a milestone this year: Ocado Group Plc put together an order of 50 items, including produce, meat and dairy, in five minutes. Fulfilling a similar order at one of the company’s older facilities takes an average of about two hours. The secret: a fleet of 1,000 robots that scurry about a warehouse snatching up products and delivering them to human packers.


Thanks to Wall St., there may be too many restaurants

There are now more than 620,000 eating and drinking places in the United States, according to the Bureau of Labor Statistics, and the number of restaurants is growing at about twice the rate of the population.

“Everybody thinks their brand has what it takes to succeed in the marketplace. You look at a location that looks good, but everybody is looking at the same place and they all come in, and the result is you get oversaturation.”

Sales at individual chain restaurants, compared with a year earlier, began dropping in early 2016, analysts reported. A majority of restaurants reported sales growth in just four of the last 22 monthly surveys from the National Restaurant Association. Before that, most restaurants had reported growth for 20 consecutive months, from March 2014 through October 2015, the survey found. As Americans work longer hours and confront an ever-growing array of food options, they are spending a growing share of their food budget — about 44 cents per dollar — on restaurants.

The shuttering of restaurants could have a major impact on the labor market. Since 2010, restaurants have accounted for one out of every seven new jobs, and many restaurateurs complain that it has become increasingly difficult to hire and retain workers.


Menu prices will tell the future of inflation

Take a company like the Cheesecake Factory. In its third-quarter earnings report back in 2013, when the labor market was looser, labor costs represented 32.1 percent of revenue. Operating margins were 8.2 percent. Fast forward to the third-quarter earnings report this year. Labor costs had risen to 34.9 percent of revenue, and operating margins had shrunk to 6.2 percent. In its conference call, the company guided wage growth in 2018 to 5 percent, in line with many of its peers. As labor pressures have eaten into margins and profits, perhaps not surprisingly, the company’s stock is flat over the past four years.

Lucky for the restaurant industry, even while labor costs have been rising, food costs have been falling. Cheesecake Factory’s cost of sales as a percentage of revenue has fallen to 22.9 percent, from 24.0 percent in the third quarter of 2013. Without this, margins would be even lower.

The cost of eating out has been going up at a rate of only 2.4 percent per year, less than wage growth in the industry.

Jeff Bezos’s guide to life

On raising kids: Jeff and his wife let their kids use sharp knives since they were four and soon had them wielding power tools, because if they hurt themselves, they’d learn. Jeff says his wife’s perspective is “I’d much rather have a kid with nine fingers than a resourceless kid.”

…decided “the best way to think about it was to project my life forward to age 80” and make the decision that “minimized my regrets. You don’t want to be cataloguing your regrets.” And while you might feel remorse for things you did wrong, he said more often regrets stem from the “path not taken” like loving someone but never telling them. “Then it was immediately obvious” that he should leave to start Amazon. “If it failed, I would be very proud when I was 80 that I tried.”

On space entrepreneurship: The key to opening the opportunities of space is reducing the price of getting objects out of Earth’s gravity. “We have to lower the cost of admission so thousands of entrepreneurs can have startups in space, like we saw with the Internet”, noting how web companies exploded in popularity as infrastructure costs came down.


Peak farmland, peak timber, peak car travel, peak child

About 1970 a great reversal began in America’s use of resources. Contrary to the expectations of many professors and preachers, America began to spare more resources for the rest of nature, first in relative and more recently in absolute amounts. A series of decouplings is occurring, so that our economy no longer advances in tandem with exploitation of land, forests, water, and minerals. American use of almost everything except information seems to be peaking, not because the resources are exhausted, but because consumers changed consumption and producers changed production. Changes in behavior and technology liberate the environment. – Nature Rebounds, Jesse Ausubel

Curated Insights 2017.07.02

Too hot to fly? Climate change may take a toll on air travel

Hotter air is thinner air, which makes it more difficult — and sometimes impossible — for planes to generate enough lift.

As the global climate changes, disruptions like these are likely to become more frequent, researchers say, potentially making air travel costlier and less predictable with a greater risk of injury to travelers from increased turbulence.

A no-fly window of even a few hours at a particular airport could have a ripple effect across airline operations while further squeezing airlines’ already tight profit margins.

Home Capital, WTF just Happened?

This deal bought Buffett a favour from the government for upcoming infrastructure investments. He meet with PM Trudeau and Finance Minister Morneau just before this deal.

Buffett sees a Canadian house crash coming. By taking a 38% stake in a tiny bank that he can keep capitalized through a crash, this gives him a vehicle to buy some of the larger banks if/when they run into trouble. Say housing is down 50% in Canada (which is how much I think housing drops); my personal view is that CIBC is in big trouble in that scenario. BRK, through HGC, can buy CIBC. That would be a meaningful investment, and it breaks BRK into the profitable Canadian banking oligopoly. By owning 40% of HCG, perhaps Buffett can get around any foreign ownership restrictions when looking to buy some or all of a Big 6 bank.

Rigetti Computing

But quantum computing — which unlike classical computing, is based on nature’s more complex operating system of quantum mechanics — will take the world by surprise. Even established veterans of the first few computing revolutions could be caught off guard, unable to foresee the jump from impressive demo to devastatingly impressive production machine. How so? Because it turns out that quantum computing has its own Moore’s law, and that law takes exponential scaling to a whole new level.

In the quantum hyperscaling Moore’s Law, the speed of a quantum computer is exponential in the number of coherent quantum elements or “qubits” — that is, 2^q. But successfully incorporating technological advances in using silicon technology would enable the qubits themselves to follow Moore’s law (q = 2^n)… making the resulting performance power of the quantum computer 2^2^n. This means that the performance of quantum computing is exponentially more rapid than Moore’s Law. It’s as if Moore’s law itself sped up like Moore’s law.

Morgan Stanley: Cloud computing is at ‘an inflection point’ — but how big will it get?

“That 20 percent is a very important number because if you look at other adoption cycles, whether it’s notebooks, smartphone penetration, the x86 server, even digital music and video games, when you get to that 20 percent penetration point, that curve inflects and growth accelerates.”

The real threat of artificial intelligence

Unlike the Industrial Revolution and the computer revolution, the A.I. revolution is not taking certain jobs and replacing them with other jobs.

This transformation will result in enormous profits for the companies that develop A.I., as well as for the companies that adopt it.

The solution to the problem of mass unemployment, I suspect, will involve “service jobs of love.”

…most of the money being made from artificial intelligence will go to the United States and China. A.I. is an industry in which strength begets strength…

While a large, growing population can be an economic asset, in the age of A.I. it will be an economic liability because it will comprise mostly displaced workers, not productive ones.

Ends, Means, and Antitrust

…the U.S. is primarily concerned with consumer welfare, and the primary proxy is price. In other words, as long as prices do not increase — or even better, decrease — there is, by definition, no illegal behavior.

The European Commission, on the other hand, is explicitly focused on competition: monopolistic behavior is presumed to be illegal if it restricts competitors which, in the theoretical long run, hurts consumers by restricting innovation.

Market dominance is, as such, not illegal under EU antitrust rules. However, dominant companies have a special responsibility not to abuse their powerful market position by restricting competition, either in the market where they are dominant or in separate markets. Otherwise, there would be a risk that a company once dominant in one market (even if this resulted from competition on the merits) would be able to use this market power to cement/further expand its dominance, or leverage it into separate markets…

Lessons From the Collapse of Banco Popular

Don’t trust bank stress-test results.

Regulators should require banks to maintain higher leverage ratios, another measure of capital adequacy. And yet this is a regulatory requirement the Trump administration wants to loosen.

Don’t reach for yield if you’re not ready for the risk.

Roadmap for MSCI Emerging Markets Index inclusion

China A: MSCI inclusion decision

China represents roughly 17% of global GDP, 11% of global trade, and 9% of global consumption but today comprises only a 3.5% weight in the MSCI ACWI Index