Curated Insights 2018.09.14

Risk, uncertainty and ignorance in investing and business – Lessons from Richard Zeckhauser

People feel that 50% is magical and they don’t like to do things where they don’t have 50% odds. I know that is not a good idea, so I am willing to make some bets where you say it is 20% likely to work but you get a big pay-off if it works, and only has a small cost if it does not. I will take that gamble. Most successful investments in new companies are where the odds are against you but, if you succeed, you will succeed in a big way.” “David Ricardo made a fortune buying bonds from the British government four days in advance of the Battle of Waterloo. He was not a military analyst, and even if he were, he had no basis to compute the odds of Napoleon’s defeat or victory, or hard-to-identify ambiguous outcomes. Thus, he was investing in the unknown and the unknowable. Still, he knew that competition was thin, that the seller was eager, and that his windfall pounds should Napoleon lose would be worth much more than the pounds he’d lose should Napoleon win. Ricardo knew a good bet when he saw it.

…in any probabilistic exercise: the frequency of correctness does not matter; it is the magnitude of correctness that matters…. even though Ruth struck out a lot, he was one of baseball’s greatest hitters…. Internalizing this lesson, on the other hand, is difficult because it runs against human nature in a very fundamental way… The Babe Ruth effect is hard to internalize because people are generally predisposed to avoid losses. …What is interesting and perhaps surprising is that the great funds lose money more often than good funds do. The best VCs funds truly do exemplify the Babe Ruth effect: they swing hard, and either hit big or miss big. You can’t have grand slams without a lot of strikeouts.

Risk, which is a situation where probabilities are well defined, is much less important than uncertainty. Casinos, which rely on dice, cards and mechanical devices, and insurance companies, blessed with vast stockpiles of data, have good reason to think about risk. But most of us have to worry about risk only if we are foolish enough to dally at those casinos or to buy lottery cards….” “Uncertainty, not risk, is the difficulty regularly before us. That is, we can identify the states of the world, but not their probabilities.” “We should now understand that many phenomena that were often defined as involving risk – notably those in the financial sphere before 2008 – actually involve uncertainty.” “Ignorance arises in a situation where some potential states of the world cannot be identified. Ignorance is an important phenomenon, I would argue, ranking alongside uncertainty and above risk. Ignorance achieves its importance, not only by being widespread, but also by involving outcomes of great consequence.” “There is no way that one can sensibly assign probabilities to the unknown states of the world. Just as traditional finance theory hits the wall when it encounters uncertainty, modern decision theory hits the wall when addressing the world of ignorance.


Hank Paulson says the financial crisis could have been ‘much worse’

While Bear Stearns’ failure in normal markets would not hurt the U.S. economy, we believed that the system was too fragile and fear-driven to take a Bear Stearns bankruptcy. To those who argue that Bear Stearns created moral hazard and contributed to the Lehman failure, I believe just the opposite—that it allowed us to dodge a bullet and avoid a devastating chain reaction.

If Bear had failed, the hedge funds would have turned on Lehman with a vengeance. Lehman would have failed almost immediately and the result would have been much worse than Lehman’s September failure, which occurred after we had stabilized Fannie Mae and Freddie Mac and Bank of Americaacquired Merrill Lynch. I would hate to imagine what would have happened if this whole thing started before we’d stabilized Fannie and Freddie.

An interview with Tim Geithner on this topic was done recently at the Yale School of Management and he speaks much more authoritatively on the limits of the Fed powers than I, but here goes. While our responses may have looked inconsistent, Ben, Tim, and I were united in our commitment to prevent the failure of any systemically important financial institution. But we had a balkanized, outdated regulatory system without sufficient oversight or visibility into a large part of the modern financial system and without the necessary emergency powers to inject capital, guarantee liabilities, or wind down a non-banking institution. So we did whatever we could on a case-by-case basis.

For Lehman, we had no buyer and we needed one with the willingness and capacity to guarantee its liabilities. Without one, a permissible Fed loan would not have been sufficient or effective to stop a run. To do that, the Fed would have had to inject capital or guarantee liabilities and they had no power to do so. Now, here’s the point that I think a lot of people miss: In the midst of a panic, market participants make their own judgments and a Fed loan to meet a liquidity shortfall wouldn’t prevent a failure if they believed Lehman wasn’t viable or solvent. And no one believed they were.

AIG is a cautionary tale. We should not have let our financial regulatory system fail to keep up with modern financial markets. No single regulator had oversight visibility or adequate powers to deal with AIG. Its insurance companies were regulated at the state level, its holding company was like a giant hedge fund sitting on top of the insurance companies, and it was regulated by the ineffective Office of Thrift Supervision, which also regulated—get this—Countrywide, WaMu, IndyMac, GE Capital. They all selected their regulator. So you get the picture, it’s regulatory arbitrage.

And I’m concerned that some of the tools we effectively used to stave off disaster have now been eliminated by Congress. These include the ability of Treasury to use its exchange stabilization fund to guarantee the money market funds, the emergency lending authority the Fed used to avoid the failure of Bear and AIG, and the FDIC’s guarantee of bank liabilities on a systemwide basis, which was critical.

The global smartphone supply chain needs an upgrade

At the peak in October 2017, smartphone components accounted for over 33% of exports from Taiwan, 17% of those from Malaysia and 16% from Singapore. Smartphones comprise 6% of Chinese exports. Memory chips flow from South Korea and Vietnam; system chips from Malaysia, Taiwan and elsewhere; and displays from Japan and South Korea. Rich-world firms, such as Qualcomm, sell licences to use their intellectual property (IP). The parts are then assembled, mainly by armies of Chinese workers.

Apple and 13 of its chip suppliers earn over 90% of the total pool of profits from the Apple system. Meanwhile the tail of other firms doing more basic activities must pay for most workers, inventories and fixed assets (see chart). So they have in aggregate a weak return on equity, of 9%, and a net profit margin of just 2%. Their earnings have not risen for five years. They include assemblers such as Taiwan’s Hon Hai and niche component makers, some of which are visibly struggling. On August 22nd AAC Technologies, a specialist in making phones vibrate, said its second-quarter profits fell by 39% compared with the previous year.

Apple, Samsung and most semiconductor makers could ride out such tensions, with their high margins and cash-laden balance-sheets. But the long chain of other suppliers could not, given their razor-thin margins, big working-capital balances and fixed costs. Tariffs could push them into the red. Of the 132 firms, 52% would be loss-making if costs rose by just 5%. And a ZTE-style cessation of trade would be disastrous. If revenues dried up and the 132 firms continued to pay their own suppliers, short-term debts and wages, 28% of them would run out of cash within 100 days.

If you are running a big firm in the smartphone complex, you should be reimagining things in preparation for a less open world. In a decade, on its current trajectory, the industry will be smaller, with suppliers forced to consolidate and to automate production. It may also be organised in national silos, with production, IP, profits and jobs distributed more evenly around the world. Firms will need to adapt—or be swiped away.

The story of Box: A unicorn’s journey to public success

The early days of Box’s selling file sharing and collaboration have largely been replaced by big corporate wins. One measure of Box’s success is its penetration of the Fortune 500—from 52% in the second quarter of 2016 to 69% in the same quarter of fiscal 2019. About 58% of Box’s total revenue comes from enterprises of 2,000 employees or more.

In Box’s recently completed fiscal quarter, it closed 50 deals of more than $100,000, compared with 40 a year ago; 11 deals of more than $500,000, versus eight a year ago; and two deals of more than $1 million, compared with four a year ago. It expects a strong pipeline of seven-figure deals in the back half of this year.

But in encouraging its salespeople to pursue bigger deals, Box increasingly faces competition from deeper-pocketed competitors in a total addressable market pegged at $45 billion, based on market research by Gartner and IDC.

Soccer fans, your team is coming after you

At the time of its 2012 initial public offering, Man United counted 659 million fans worldwide. Analysts estimate the team’s revenue this year will be about 587 million pounds ($763 million) — just $1.16 per supporter. Twitter Inc. has just 338 million active monthly users, yet enjoys revenue of $2.4 billion and a market value of $27 billion.

Digital marketing provides the opportunity for teams to put themselves in the middle of the sale of a service or product. It’s not simply about using a website or an app to sell fans more jerseys or baseball caps. It’s about turning the team into a platform, a way of connecting brands to customers, in the same way as Facebook Inc. and Alphabet Inc. already do.

Much in the way that price-comparison websites charge insurers or credit card companies for connecting them to customers, a sports team could, for example, offer its own exclusive video content with another provider’s mobile phone contract and take a cut of the proceeds. If that meant each fan were to spend just one more dollar a year with the club, it would provide a significant boost to sales.


Alibaba-backed apparel-sharing company YCloset brings sharing economy to a new level

Founded in December 2015, YCloset charges a monthly membership fee of 499 yuan and allows female users to rent unlimited clothes and accessories country-wide. Furthermore, users can choose to buy the apparel if they like to and prices fluctuate according to the rent count. Thus far, 75% of the income comes from membership fees and the remaining comes from sales of clothing. YCloset positions itself as a company that offers affordable luxury, professional and designer brand clothing. The company hopes to have the top famous brand to drive the long-tail brands.

In terms of business model, YCloset gradually shifted from one-time supplier purchase to brand partnerships with clothing companies. Brand partnerships allow revenue sharing between YCloset and their partners. To these clothing companies, YCloset gave them a new revenue, at the same time, they may get consumer insights from the data YCloset collects. In the future, YCloset will have joint marketing campaigns with the brands and assist in incubating new brands.

Autonomous delivery robots could lower the cost of last mile delivery by 20-fold

Last mile delivery – the delivery of goods from distribution hubs to the consumer – is the most expensive leg of logistics because it does not submit to economies of scale. The cost per last mile delivery today is $1.60 via human drivers but could drop precipitously to $0.06 as autonomous delivery robots proliferate.

Autonomous delivery robots are roughly seven times more efficient than electric vehicles on a mile per kilowatt basis. The major costs for autonomous delivery robots are hardware, electricity, and remote operators. Unlike in electric vehicles, the battery is not the largest cost component in slow moving robots. Air resistance is a function of velocity squared, suggesting that a robot traveling at four miles per hour loses much less energy than a car traveling at highway speeds to air resistance. As a result, rolling robots do not require large batteries, lowering both hardware and electricity costs relative to more traditional electric vehicles.

If rolling robots enable last mile delivery for $0.06 per mile, artificial intelligence could be advanced enough to improve their unit economics. A remote operator responsible for controlling robots in difficult or confusing situations probably will oversee roughly 100 robots, accounting for more than half of the cost per mile, as shown below. As autonomous capability improves, remote operators should be able to manage larger fleets of robots, bringing down the costs per robot.


Hospitals are fed up with drug companies, so they’re starting their own

A group of major American hospitals, battered by price spikes on old drugs and long-lasting shortages of critical medicines, has launched a mission-driven, not-for-profit generic drug company, Civica Rx, to take some control over the drug supply. Backed by seven large health systems and three philanthropic groups, the new venture will be led by an industry insider who refuses to draw a salary. The company will focus initially on establishing price transparency and stable supplies for 14 generic drugs used in hospitals, without pressure from shareholders to issue dividends or push a stock price higher.


Harvard Business School professor: Half of American colleges will be bankrupt in 10 to 15 years

There are over 4,000 colleges and universities in the United States, but Harvard Business School professor Clayton Christensen says that half are bound for bankruptcy in the next few decades. Christensen and co-author Henry Eyring analyze the future of traditional universities, and conclude that online education will become a more cost-effective way for students to receive an education, effectively undermining the business models of traditional institutions and running them out of business.

Christensen is not alone in thinking that online educational resources will cause traditional colleges and universities to close. The U.S. Department of Education and Moody’s Investors Service project that in the coming years, closure rates of small colleges and universities will triple, and mergers will double.

More than 90 per cent of Chinese teens access the internet through mobile phones, says report

The proportion of Chinese children under 10 years old who use the internet – which was only 56 per cent in 2010 – reached 68 per cent last year. More than 90 per cent of Chinese minors, those aged up to 18, can now access the internet through mobile phone and over 64 per cent of primary school kids have their own smartphones. Nearly 85 per cent of Chinese minors use WeChat, compared to only 48 per cent five years ago, but Chinese juveniles are still more fond of QQ, while Chinese adults prefer WeChat as a social app.

Curated Insights 2018.08.17

Not enough people are paying attention to this economic trend

Haskel and Westlake outline four reasons why intangible investment behaves differently:

  • It’s a sunk cost. If your investment doesn’t pan out, you don’t have physical assets like machinery that you can sell off to recoup some of your money.
  • It tends to create spillovers that can be taken advantage of by rival companies. Uber’s biggest strength is its network of drivers, but it’s not uncommon to meet an Uber driver who also picks up rides for Lyft.
  • It’s more scalable than a physical asset. After the initial expense of the first unit, products can be replicated ad infinitum for next to nothing.
  • It’s more likely to have valuable synergies with other intangible assets. Haskel and Westlake use the iPod as an example: it combined Apple’s MP3 protocol, miniaturized hard disk design, design skills, and licensing agreements with record labels.

For example, the tools many countries use to measure intangible assets are behind the times, so they’re getting an incomplete picture of the economy. The U.S. didn’t include software in GDP calculations until 1999. Even today, GDP doesn’t count investment in things like market research, branding, and training—intangible assets that companies are spending huge amounts of money on.


How Box conquered the enterprise and became a $1.7 billion company in a decade

However, what most people failed to understand—and continue to misunderstand to this day—is that Dropbox was never launched as a competitor to Box. The use cases were completely different. Box.net and Dropbox may have shared some similar underlying technologies (and an uncomfortably similar name), but the focus of Dropbox was cloud-based file management for the consumer market. Box was focused on file sharing. By the time Dropbox launched in 2007, Box.net had already largely abandoned the consumer market in favor of the enterprise. There were other key differences between the two products, such as the necessity of installing a dedicated Dropbox directory on a user’s local machine versus Box.net’s entirely cloud-based interface. Additionally, the two companies’ target markets and business models couldn’t have been more different.

Levie knew SharePoint was Box’s biggest competitor, so he did what any inventive, irreverent entrepreneur would do—he took out a billboard advertisement on a stretch of highway on Route 101 between San Francisco and Silicon Valley. The ad promised SharePoint users that Box would pay for three months of SharePoint access if they didn’t prefer Box. In February 2009, Box went one step further in its media assault on Microsoft by erecting another billboard, this one highlighting the many aspects of SharePoint that were most unpopular among its user base.

While the enterprise market represented a unique chance for Box to pivot away from the increasingly competitive consumer market, essentially shifting the focus of the entire company was no small undertaking. Until that point, Box had used a freemium business model. This worked fine for the consumer market, but it was completely unsuitable for the enterprise. This meant Box would not only have to radically redesign its product from the ground up but also restructure its entire business model.

By acquiring Increo, Box immediately gained access to Increo’s innovative document collaboration tools. This was crucial. It wasn’t enough for Box to offer cloud-based storage or integrations with Salesforce and Office. It had to offer additional value as competing tools vied for dominance.

The consumerization of enterprise IT driven by Box and other forward-thinking companies wasn’t merely an attempt to cultivate a unique value proposition or drive adoption. It reflected much broader shifts in computing in general. The advent of Web 2.0 apps created a new design paradigm that placed emphasis on ease of use and accessibility across multiple devices over complex file management tools. Smartphones fundamentally changed the way we think of computing. For an enterprise software company like Box to be at the forefront of trends in usability was impressive.

OneCloud was an excellent example of how consumer-focused design informed Box’s broader strategy. The company had built a platform for developers in 2011 known as the Box Innovation Network, which functioned similarly to an app marketplace. OneCloud was an extension of this idea, only it was intended exclusively for mobile devices. This would later become a predictable cycle in Box’s development. New features were added to the product to meet emerging needs, and those features were presented to users in ways that directly mirrored those of consumer apps and sites.

What’s more important, however, is how well Box converted its free users to paid subscribers. Consumer apps like Evernote convert free users to paid plans at a rate of approximately 3%. Box was converting free users to paid plans at a rate closer to 8%, including major corporate customers such as Bank of New York and ambient advertising powerhouse Clear Channel. As a result, Box achieved revenues of more than $11M in 2011.

Because most of Box’s sales calls came from companies that had already been using the product, Box’s sales teams were typically able to close 60% of those deals within two weeks—an impressive figure, especially considering the often months-long sales cycles typically associated with the enterprise market.

Box has done an excellent job of not only carving out its own niche in an increasingly competitive space but also by applying design and UX principles of consumer-focused SaaS products to redefine how enterprise software looks, feels, and works. With its keen focus on usability, ease, and simplicity, Box has become a leading force in the consumerization of the enterprise and has shaped how other enterprise software companies approach their products.

Ad tech firm poised to surge 50%

Bid factoring is essentially a linear equation that enables marketers to apply multipliers to different targeting parameters. This approach makes it easier to value each user individually and dynamically, allowing marketers to more easily reach their target users. Bid factoring saved time for marketers through automation and removed the need to store tons of line item permutations, therefore lowering data storage costs.

When Green started The Trade Desk, his goal was to “build a company for the next 100 years.” He did not want to follow the same mistakes that other companies in the space made such as having a conflict of interest by being on both the buy and sell side. Green decided to build a demand side platform because he believed the demand side of the advertising transaction will always have the advantage. In advertising it will always be a buyer’s market because it is easy to add supply by having an extra impression on a web page or additional 30-second spot to a commercial break to meet increased demand. This basic economic reality means advertising supply is more elastic than demand and will forever put the buy side in the power position.

The Trade Desk would also be transparent and not charge unsustainable take rates. Green believed once the digital advertising industry matures, total transaction costs to purchase a digital ad would be $0.20-$0.30 for every $1.00 spent, with roughly $0.15-$0.20 going to the DSP and $0.05-$0.10 being split between the SSP and the ad exchange. The Trade Desk could have charged much higher take rates but decided to charge customers what it believed would be the fair end-state price for their services. While take rates could become lower as competition potentially increases, similar to what happened with discount stock brokerages, barriers to entry and the DSP’s ability to provide increasing value to advertisers overtime should preserve prices.

As the ad market has grown, the number of auctions has increased exponentially. In order for a DSP to win an auction, it now takes many more looks. For each ad campaign, costs have increased while revenues remained fairly flat, increasing operating leverage. DSPs that have half the ad spend as The Trade Desk will struggle because they will incur the same amount of expense per ad campaign but monetize less, making it much more difficult to be profitable if you are a smaller player and don’t have the scale.

Every day The Trade Desk’s customers log into their platform to use the data and analysis to value ad inventory and run marketing campaigns. Advertisers provide their customer data and publishers provide their user data, which The Trade Desk uses to help advertisers value media for their specific needs. As The Trade Desk accumulates more data over time, its insight and analysis add more value to its customers, creating a self-reinforcing virtuous cycle.


Nvidia’s new Turing architecture is all about real-time ray tracing and AI

Nvidia describes the new Turing architecture as “the greatest leap since the invention of the CUDA GPU in 2006.”

“Hybrid rendering will change the industry, opening up amazing possibilities that enhance our lives with more beautiful designs, richer entertainment and more interactive experiences,” said Nvidia CEO Jensen Huang. “The arrival of real-time ray tracing is the Holy Grail of our industry.”

The new RT cores can accelerate ray tracing by up to 25 times compared to Nvidia’s Pascal architecture, and Nvidia claims 10 GigaRays a second for the maximum performance.

With NGX, Nvidia today also launched a new platform that aims to bring AI into the graphics pipelines. “NGX technology brings capabilities such as taking a standard camera feed and creating super slow motion like you’d get from a $100,000+ specialized camera,” the company explains, and also notes that filmmakers could use this technology to easily remove wires from photographs or replace missing pixels with the right background.


Tesla’s autonomous opportunity is severely underappreciated

We estimate that net revenue for autonomous platform providers – those companies that own the software technology stack for autonomous ride-hailing services – should exceed $2 trillion by 2030, roughly equal to our expectations for automaker revenue at that time. Unlike their auto-manufacturing peers, however, autonomous platform providers should see software-like margins, be less capital-intensive, and enjoy network-effect-driven regional competitive dominance. So, while autonomous platform providers may generate the same revenue as automotive manufacturers, ARK believes these providers will generate six times the operating earnings and consequently will prove to be substantially more valuable. In fact, ARK estimates autonomous platforms will be worth more than the entire $4 trillion global energy sector.

An enhanced Autopilot package with the ability to self-drive costs $5,000 upfront or $6,000 for customers who choose to wait and buy later. Payment for this feature alone can be thought of as nearly pure profit on every Tesla sold. In addition, once Tesla launches the Tesla Network, its autonomous ride-hailing network, it could collect platform fees, similar to Uber’s model today, from every autonomous ride charged to the consumer. Given a rate of $1 per mile to the end consumer and over 100,000 miles per year per vehicle, Tesla could benefit from $20,000 in high-margin platform fees per car per year. Over a five-year lifetime, a single Model 3 could generate $40,000 in net cash flow. Even investors optimistic about Tesla’s prospects project the Model 3 cash flow at $4,000 and one-time in nature. In effect, each Model 3 sale could generate 10 times more cash flow than investors currently understand.

Google’s targeted ads are coming to a billboard near you

Digital outdoor ad spending is growing at 15 percent annually, and will overtake traditional outdoor outlays by 2020, according to PwC. But Google is the 800-pound gorilla that’s not yet in the room. It would give the company another major edge over Facebook, which doesn’t have the same access to location-based mobile data.


Alibaba tweaks a controversial legal structure

There are three problems with VIEs. First, key-man risk. If the people with nominal title die, divorce or disappear, it is not certain that their heirs and successors can be bound to follow the same contracts. Second, it is not clear if the structure is even legal. China’s courts have set few reliable precedents on VIEs and the official position is one of toleration rather than approval. Third, VIEs allow China’s leading tech firms to be listed abroad, preventing mainlanders from easily owning their shares and participating in their success.

Alibaba’s proposed change is aimed at tackling the first problem, key-man risk. At the moment four of its five VIEs are nominally owned by Jack Ma, the firm’s leader, and Simon Xie, a co-founder and former employee. After the restructuring, the two men will no longer be the dominant counterparties. Instead the VIEs will be owned by two layers of holding companies, which will sign contracts with Alibaba. These holding companies will ultimately be nominally owned by a broader group of Alibaba’s senior Chinese staff. The idea is that if anyone gets run over by a bus, then the scheme will not be disrupted, because nominal control is spread among a wider group of people. The new approach is far from perfect but it is an improvement. If all goes to plan it will be completed by 2019. Other tech firms may feel pressure to follow.

$1b+ market map: The world’s 260 unicorn companies in one infographic
60+ startups disrupting IKEA in one market map

SoftBank’s Son says WeWork is his ‘next Alibaba’

It is rare for Son, who casts a wide net with his startup investments, to commit so much resources to a single company. But he said WeWork is more than just a renter of office space: it is “something completely new that uses technology to build and network communities.”

The use of shared space to forge connections is not unique to WeWork. The company’s edge lies in the steady flow of data it collects on members, which is shared with other locations and can be accessed by users of the WeWork app around the world. The idea is that more data means more innovation — a model that underlies Son’s excitement about the company.

What MoviePass can teach us about the future of subscription businesses

Pricing is so powerful that playing with it requires great skill and precision. MoviePass should have done its price experimentation at the outset and on a local basis. It could have optimized the price points and tested alternative pricing models quietly, instead of jerking millions of customers around. Even a slight tweak — such as moving to a club pricing model like Costco’s — might have solved its cash-flow problems.

These kinds of tweaks could also have enabled the company to consider regional pricing strategies, given that its cost of goods (the full price of movie tickets, which it pays theater operators) varies from $8 in Nebraska to over $15 in New York. This case is also a good reminder that the United States has local profit pools. It is silly to think that a one-size-fits-all national strategy is the right approach for a market as ethnically and economically diverse as the United States.

MoviePass failed to recognize how the behavior of superconsumers, customers who are highly engaged with a category and a brand, differs from that of average consumers — and how, if not anticipated, this difference can create problems for a company’s cost model. It can especially be a problem if the company uses a “buffet” model of fixed price and unlimited quantities, as MoviePass did.

Quantum computers today aren’t very useful. That could change

Quantum computers are, however, far more prone to errors than binary machines. Instead of using electric signals to generate a series of zeros and ones like a conventional computer, quantum computers rely on the real-world, mechanical behavior of photons, which are packets of microwave energy. The machines require a complex, multi-layered refrigeration process that brings quantum chips to a temperature just above absolute zero. By eliminating certain particles and other potential interference, the remaining photons are used to solve computational problems. The true magic of this system is how photons can become entangled and produce different but related results. Scientists only partially understand why it works the way it does.

A quantum chip doesn’t look like much with the naked eye. Through an optical microscope, though, you can see the quantum logic gate that makes everything possible. The team here is working on a process of stringing together 16-qubit chips to execute on the 128-qubit design. Essential to this is a new kind of quantum chip that communicates results in three dimensions instead of the current two, which allows Rigetti to fit the chips together like puzzle pieces and turn them into a single, more powerful computer. “What we’re working on next is something that can be scaled and tiled indefinitely,” Bestwick said.

Why the future belongs to ‘challenge-driven leaders’

The consensus view of Mr. Marchionne, relayed by hundreds of tributes, is that he possessed an unusual blend of vision, technical expertise, analytical rigor, open-mindedness and candor. The remembrances also agreed on something else: he was a bona fide eccentric. “God bless you, Sergio,” Morgan Stanley analyst Adam Jonas told Mr. Marchionne during a January conference call. “We’re never going to see anyone like you again.”

The trajectory of great ideas

“Being right is the enemy of staying right because it leads you to forget the way the world works.” – Jason Zweig. Buddhism has a concept called beginner’s mind, which is an active openness to trying new things and studying new ideas, unburdened by past preconceptions, like a beginner would. Knowing you have a competitive advantage is often the enemy of beginner’s mind, because doing well reduces the incentive to explore other ideas, especially when those ideas conflict with your proven strategy. Which is dangerous. Being locked into a single view is fatal in an economy where reversion to the mean and competition constantly dismantles old strategies.

Survivorship bias on wheels

One last thing: When it was introduced as new in 1984, the 1985 Testarossa listed for $90,000 (but dealers charged huge premiums over list due to “Ferrari fever.”) You can still find Testarossas for that original list price — meaning the net returns over 43 years has been precisely zero — before maintenance, storage and repair costs.

As a comparison, in 1985, the benchmark S&P500 was about 200, and it closed yesterday at 2,821.93. That generated an average annual return of about 8.5%, returning 1,400% price appreciation since then, and, with dividends reinvested, over 3,000% total return (in nominal terms, like the chart above, neither is adjusted for inflation).

Selecting investments after the fact is easy; ask yourself this question: What car do you want to buy as an investment for the next 34 years to be sold in 2052?


Curated Insights 2018.07.06

What would happen if China started selling off its Treasury portfolio?

And the perennial threat that China would sell its Treasuries. That could happen as a byproduct of a decision by China to push its currency down—if China signals that it wants a weaker currency, the market would sell yuan for dollars, and controlling the pace of depreciation would require that China sell reserves. Or could happen even if China maintained its current basket peg and shifted its portfolio around—selling Treasury notes for bills, or selling Treasuries and buying (gulp) Bunds (if it can find them—it might end up buying French bonds instead) or JGBs.

If Treasury sales came in the context of a decision by China that it wanted a weaker currency to offset the economic impact of Trump’s tariffs (or simply a decision by the PBOC that it needed to loosen monetary policy in response to a slowing Chinese economy, and thus to no longer follow the Fed), the disinflationary impulse from a weaker yuan (and a broader fall in most Asian currencies and a rise in the dollar) would likely be more powerful than the mechanical impact of Treasury sales. That is the lesson of 2015-16.

Treasuries sales in a sense are easy to counter, as the Fed is very comfortable buying and selling Treasuries for its own account. I have often said that the U.S. ultimately holds the high cards here: the Fed is the one actor in the world that can buy more than China can ever sell.

Who has the best business model (and it’s not Google or Facebook)

Staying on the topic of streaming video, this is a relevant example of how shared-value transactions gives Amazon a potential structural advantage over the leader in the space: Netflix. Success in streaming video requires great video content, and Netflix will spend $8 billion this year buying video rights. The way Netflix funds this hefty content bill is that they have 120 million customers who pay them $10 each month directly, and then they take half of that fee collected from every subscriber and spend it on content. So every subscriber pays for content equally (about $5 per user per month) as Netflix earns the exact same amount from their best users as their worst users.

Amazon too will spend a significant sum buying video content (about $5 billion this year). But their content bill is paid entirely differently. Instead of only depending on a percentage of Prime membership fees (which are the same for every user) to fund their content budget, Amazon can pay for content using revenue from purchases of books, diapers, toilet paper, laundry detergent, and more (and this spend is most definitely not the same for every user). As Bezos has said: “When we win a Golden Globe, it helps us sell more shoes”. Amazon’s best users are able to purchase significantly more goods than their average user, and these funds can be indirectly applied to fund video content that everyone shares value from.


Dropbox vs. Box: The story of enterprise SaaS multiples

By digging deeper into the operating margins, we find that the difference between the two companies seems to come down to the approaches of their growth strategies. Dropbox has grown primarily through a highly efficient marketing function and self-serve model, while Box has grown through a traditional, and more expensive, enterprise sales model.

This story hides some major issues with Dropbox. Their strategy for years has been to go after the consumer cloud storage market, which never made sense, as that market is highly competitive and has limited revenue potential. Box decided long ago to pivot to the enterprise, while Dropbox went through numerous failed acquisitions and internal initiatives, attempting to build products in everything from email to payments. They built a strong consumer brand in the process but ultimately decided to double down on enterprise. We think it’s too late.

The cloud storage and file hosting industry, including all the related services, doesn’t seem to be protected by a particularly wide moat. All of the major technology names are active in this field as well, including Amazon, Google, Microsoft, and Apple. All of these companies have the added advantage of pre-existing customer relationships. The main advantage Dropbox would need is the ability to provide differentiated services to enterprises. However, we haven’t seen evidence of Dropbox’s ability to effectively build differentiated enterprise products. As they are forced to expand their market, we believe they will face stiff competition that will make it more difficult to grow. On the other hand, the 500 million users may be the key to unlocking growth within enterprises that enterprise sales teams couldn’t effectively crack.

The Airbnb challenger you’ve never heard of (by name)

Airbnb has reportedly spent only $300 million on marketing since its inception in 2008. “We don’t acquire customers by buying them. We acquire customers by providing a superior experience and having offerings around the world,” a spokesperson emailed.

Booking spent $4.5 billion on marketing last year alone. Yet Fogel admits that it still lags in consumer awareness. The brand is much better known in Europe, where it was founded. “The product is just as good here as anywhere else … and therefore we should have much more [awareness],” he says, noting that Booking.com only came to the US in 2013. Booking Holdings’ other brands, like Priceline and Kayak, have loyal bases of users, Fogel says. But Booking.com makes up the vast majority of the company’s revenue, and the name change from Priceline to Booking Holdings shows what executives consider their crown jewel.

Airbnb is fighting back with two high-end tiers of hotel-like offerings and luxury accommodations, Airbnb Plus and Beyond by Airbnb. The company emphasizes that 3.5 million of its listings are exclusive and that business travel now makes up 15 percent of its bookings. Beyond that, Airbnb has been selling tourist activities to its customers through its Experiences product for two years.


A $6 billion China startup wants to be the Amazon of health care

WeDoctor’s data comes from several sources, but one of the most important is the hundreds of hospitals in its network whose doctors plug information into a central database — with consent from patients who may want to switch care-givers. They could also upload their own records. The company then profiles users, classifying them in buckets based on age, gender, region or symptoms. That’s a potent advertising aid to drugmakers and insurers, Chen says. That leeway to commercialize patient information comes with caveats: WeDoctor stresses data is anonymous and it doesn’t share it with third parties.

That’s just one piece of the money-making puzzle. WeDoctor also takes a cut on consultation fees via its app or smart speaker. The 4,000 yuan box has a screen in the front and comes with a year’s access to doctors online.

Those clinics complement “online hospitals.” WeDoctor’s won licenses to operate 10 such platforms that offer real-time chats with doctors. This also lets the best clinicians, usually working out of big hospitals that keep fees artificially low, to earn more on the side. Top doctors can demand 3,000 yuan per session, WeDoctor says.

WeChat Impact Report 2018 shows impressive social impact

WeChat-driven information consumption reached RMB 209. 7 billion
WeChat accounted for 34% of the total data traffic of users
WeChat drove RMB 333.9 billion traditional consumption, covering travel, food, shopping, tourism, etc.
WeChat contributed the employment of 20.3 million persons in 2017, more than twice the 2014 figure
The number of stores accepting WeChat Payment in Japan was multiplied by 35 in 2017

China isn’t playing tech catch up – it’s leapfrog and it may get dirty

According to business managers, many of those three million annual science and technology graduates lack crucial analytical and communication skills, and are barely employable. Similarly, a large proportion of those 430,000 research papers have little or no scientific value. And many of China’s 1.4 million yearly patent applications are destined to prove worthless. In fact, fewer than 20 per cent of China’s applications even claim to be for new inventions; the vast majority are for lower-tier design or utility model patents, which typically cover minor incremental changes to existing products.

Inventive economies generate handsome international income streams by licensing their technologies to foreign companies, which then pay them intellectual property royalties. In 2016, China earned just US$1 billion from the rest of the world in intellectual property payments. In contrast it paid out US$24 billion (and according to many critics, it should have paid a great deal more). Now compare those numbers with the equivalent figures for the US, which last year earned US$128 billion from licensing its intellectual property to other countries, while paying out US$48 billion. Meanwhile, Japan earned US$35 billion, and paid out US$18 billion.

The thought father: Nobel Prize-winning psychologist Daniel Kahneman on luck

One of the most amusing episodes in the book comes when Kahneman visits a Wall Street investment firm. After analysing their reports, he calculated that the traders, who were highly prized for their ability to “read” the markets, performed no better than they would have done if they made their decisions at random. The bonuses that they received were, therefore, rewards for luck, even though they found ways of interpreting it as skill. “They were really quite angry when I told them that,” he laughs. “But the evidence is unequivocal — there is a great deal more luck than skill involved in the achievements of people getting very rich.”


Better ways to learn

“When you are cramming for a test, you are holding that information in your head for a limited amount of time,” Mr. Carey says. “But you haven’t signaled to the brain in a strong way that’s it’s really valuable.”

One way to signal to the brain that information is important is to talk about it. Ask a young student to play “teacher” based on the information they have studied. Self-testing and writing down information on flashcards also reinforces learning.

“Sleep is the finisher on learning,” Mr. Carey says. “The brain is ready to process and categorize and solidify what you’ve been studying. Once you get tired, your brain is saying it’s had enough.”

Curated Insights 2018.04.01

Amazon is already reshaping health care

All three of the biggest U.S. PBMs will be tied to three of the country’s biggest insurers. CVS, Express Scripts, and UnitedHealth process more than 70 percent of all U.S. prescriptions. Post-merger, three companies will insure more than 90 million people in some capacity, process more than 3.5 billion prescription claims, and generate more than $500 billion in revenue.

The merging companies have claimed huge cost savings will flow to consumers from these deals, but I’m skeptical. Research suggests costs can actually end up rising in some cases of health-care consolidation. Less competition means more pricing power for the companies that remain. Markets with more insurers have lower premiums, while prices rise when hospitals buy physician groups. Though these are vertical deals, they will add to the market power of major players in already heavily consolidated industries, which seems like a recipe for monopolistic behavior.

Regulation could protect Facebook, not punish it

If the government instituted new rules for tech platforms collecting persona information going forward, it could effectively lock in Facebook’s lead in the data race. If it becomes more cumbersome to gather this kind of data, no competitor might ever amass an index of psychographic profiles and social graphs able to rival Facebook’s.

We’ve already seen that first-time download rates aren’t plummeting for Facebook, its App Store ranking has actually increased since the Cambridge Analytica scandal broke, and blue chip advertisers aren’t bailing, according to BuzzFeed. But Facebook relies on the perception of its benevolent mission to recruit top talent in Silicon Valley and beyond.


Facebook knows literally everything about you

But my favorite thing is probably peer-to-peer payments. In some countries, you can pay back your friends using Messenger. It’s free! You just have to add your card to the app. It turns out that Facebook also buys data about your offline purchases. The next time you pay for a burrito with your credit card, Facebook will learn about this transaction and match this credit card number with the one you added in Messenger. In other words, Messenger is a great Trojan horse designed to learn everything about you.

There’s one last hope. And that hope is GDPR. Many of the misleading things that are currently happening at Facebook will have to change. You can’t force people to opt in like in Messenger. Data collection should be minimized to essential features. And Facebook will have to explain why it needs all this data to its users. If Facebook doesn’t comply, the company will have to pay up to 4 percent of its global annual turnover. But that doesn’t stop you from actively reclaiming your online privacy right now.


How Facebook helps shady advertisers pollute the internet

Those who were caught and banned found that this was only a minor setback—they just opened new Facebook accounts under different names. Some affiliates would buy clean profiles from “farmers,” spending as much as $1,000 per. Others would rent accounts from strangers or cut deals with underhanded advertising agencies to find other solutions.

Affiliates say Facebook has sent mixed signals over the years. Their accounts would get banned, but company salespeople would also come to their meetups and parties and encourage them to buy more ads. Two former Facebook employees who worked in the Toronto sales office said it was common knowledge there that some of their best clients were affiliates who used deception. Still, the sources said, salespeople were instructed to push them to spend more, and the rep who handled the dirtiest accounts had a quota of tens of millions of dollars per quarter.

How Alibaba and Tencent became Asia’s biggest dealmakers

The reach of Tencent and Alibaba in their home market dwarfs that of the big tech groups in the US. While the latter accounts for less than 5 per cent of all venture capital flows in their home market, Alibaba and Tencent account for 40-50 per cent of venture capital flows in mainland China, according to data from McKinsey.

The downside is that their new investors might have different agendas than simply the financial performance of the new companies. The risk is that Alibaba and Tencent might be willing to sacrifice their interests in the companies they back if their own goals shift.

But he worries that entrepreneurs might also be forced to prematurely choose sides in the rivalry between the competing ecosystems of one or the other internet giants in ways that can leave a young company exposed.


SoftBank Vision Fund CEO explains plan to build the biggest network of tech companies in the world

The fund aims to be the largest shareholder in 100 technology companies around the world after it has finished investing all of its money, he said. The goal is to create the biggest ecosystem of tech companies in the world.

Part of the strategy will include investments strategically moving operations beyond their home markets and into other countries, where they can be linked with other holdings in the fund, Misra said. The fund will actively push many of its investments to work with each other, creating a web of companies controlled, or heavily influenced, by SoftBank and its CEO Masayoshi Son, Misra said.

Dropbox and Box were never competitors

Vast majority of Dropbox’s combined business and consumer revenue of more than a $1 billion came from consumers. Dropbox has always offered an attractive consumer storage tool. “Dropbox is primarily a consumer company with 500 million users, [with] only about 300,000 teams using their business offering.” For now though, even with this business push, Pelz-Sharpe points out that most of Dropbox’s business customers are small teams of 3 or more people with a dash of larger implementations. “Nor are people building much on top of Dropbox in the way of business applications – it remains primarily a very efficient file sharing system,” he explained.

This in contrast to Box, which has been working primarily with large enterprise companies for years to solve much more complex problems around content. Aaron Levie from Box said he’s absolutely rooting for Dropbox, but they have always been going after different markets, since Box decide to go enterprise about two years into its existence. “We are fundamentally building two very different companies. Both are large markets. While there is no limit to the scale they could become, we have built a very different business around how do you serve [large companies] and deal with unstructured company data — and it’s a very different product set [from Dropbox],” Levie told TechCrunch.


Micron: You don’t know how big this memory stuff is, says Instinet

DRAM and NAND storage have become the choke point in system level performance across multiple applications; cloud vendors, for example, are boosting memory content to speed up performance. These cloud companies are very sophisticated about hardware architecture. Vendors are spending tremendous amounts of capital to reduce wait times in servers. This means maximizing the amount of memory around the processor and greater use of NAND flash.

Robots could replace surgeons in the battle against cancer

Moll says he focused on lung cancer for two reasons. It’s the deadliest cancer, killing 1.7 million people a year globally, according to the World Health Organization. (That’s double the next-highest total, for liver cancer.) And it’s the perfect proving ground, he says, for medical robots.

No medical regulator in the world has approved fully robotic surgery, so for now surgeons who sign up for Auris’s pilot program will drive the bot. The doctor guides the scope through the lung, starting in the trachea, with a video screen to help navigate. A camera view is on the screen’s left side, and a CT-scan-created map and turn-by-turn directions are on the right. Auris tracks the probe’s precise location, in part, by comparing data from the camera view to the 3D map, and by using an electromagnetic sensor that works a bit like a miniature GPS. The idea is to collect data after every surgery and feed it back into the navigation software, improving it over time.

Say goodbye to the information age: it’s all about reputation now

We are experiencing a fundamental paradigm shift in our relationship to knowledge. From the ‘information age’, we are moving towards the ‘reputation age’, in which information will have value only if it is already filtered, evaluated and commented upon by others. Seen in this light, reputation has become a central pillar of collective intelligence today.