David Fuller and Eoin Treacy's Comment of the Day
Category - Autonomies

    Can the Synchronous Recovery Last?

    Thanks to a subscriber for this report from Morgan Stanley which has a number of interesting nuggets. Here is a section:

    For the first time since 2010, the global economy is enjoying a synchronous recovery (see chart). The developed markets’ (DM) private sector is exiting deleveraging after several years of slow growth due to a focus on balance sheet repair and, after four years of adjustment, the emerging markets are in a recovery mode. These trends create a positive feedback loop. Indeed, the DM economies account for 60% of emerging market (EM) exports, so as their real import growth accelerates, EM exports are rebounding. What’s more, an improving EM outlook reduces DM disinflationary pressures. 

    How sustainable is this recovery? Typically business cycles end with macrostability risks (price, external and financial) spiking, forcing policymakers to tighten monetary and/or fiscal policy. In this cycle, considering that emerging markets inflation and current account balances are moving toward their central banks’ comfort zones, it is unlikely that macrostability risks will surface soon. Moreover, the emerging markets now have high levels of real rate differentials vis-àvis the US, providing adequate buffers against normalization of the Federal 

    DEVELOPED MARKET RISK. In our view, the key risk to the global cycle is apt to come from the developed markets— most likely the US, considering that it is most advanced in the business cycle. Moreover, the US tends to have an outsized influence on the global cycle, particularly the emerging markets. While price stability features prominently in debating the monetary policy stance of any central bank, financial stability is clearly emerging as an equally important factor.

    How will it play it out? For insight, we can look at history. The late ’60s saw fiscal expansion at a time of strong growth and low unemployment. In the mid ’80s, the US pursued expansionary fiscal and protectionist policies in an improving economy. We look at similarities and differences versus today, analyzing asset class performance by fiscal deficit and unemployment quartiles.

    To that end, private-sector leverage has picked up modestly in the US. In fact, the household-sector balance sheet, which was the epicenter of the credit crisis, had been deleveraging until 2016’s third quarter. Moreover, the regulatory environment has been relatively credit-restrictive. Hence, we see moderate risk to financial stability. However, risks could rise, considering that monetary policy is still accommodative, and particularly so if the administration eases financial regulations. Price stability is a critical risk, too—especially since the core Personal Consumption Expenditures Index inflation rate is close to the Fed’s target and US unemployment is around the rate below which inflation could accelerate. Reflecting this, we expect the Fed to hike rates six times by year-end 2018 (see page 3). We expect other major DM central banks to take a less dovish/more hawkish stance

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    Leveraging Platform Synergies to Break Adoption Barriers

    Thanks to a subscriber for this heavyweight report from Deutsche Bank focusing on payments. Here is a section:

    Although initial mobile payment developments were geared toward driving adoption and acceptance, focus has shifted to improving monetization. We believe Pay with Venmo remains a significant opportunity and conservatively estimate potential contribution to revenue growth in FY20 of ~3.5pts and given the higher transaction margins driven by cheaper funding sources (ACH, Balance), estimate potential EPS contribution of $0.28 in FY20. In addition, working capital loans to merchants and/or installment plans provided by PayPal, Square, and Alipay leveraging Big data offer high margin revenue opportunities. Providers are also emphasizing efforts on channels where adoption is easier as well as use cases which offer differentiated value propositions. Accordingly, we believe in-app and inbrowser will dominate mobile payments while in-store mobile payments will be predominantly focused on differentiated value propositions such as omni-channel support, order ahead, and offer/coupon redemption. 

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    Winners and losers of the Industrial Internet

    Thanks to a subscriber for this report from Deutsche Bank which may be of interest. Here is a section:

    Industrial end-markets are still at the beginning of their digitalization journey
    The Industrial Internet is about optimizing entire manufacturing systems, including products, processes, supply chains and business models. We estimate digitized solutions could generate c.15% annual opex savings in industrial markets by making assets more efficient. This could reduce the addressable market size for traditional manufacturers of big iron machines. However, this should translate in a market opportunity of c.$200bn for IIoT suppliers in areas like predictive maintenance or operation optimization.

    IIoT strategies are as much defensive as they are offensive 
    Industrial companies will have to be good at software to remain successful as an increasing share of the manufacturing value chain could shift to providers of sensors, data analytics and industrial cloud architectures. For example, a key risk for the manufacturers of large pieces of equipment requiring maintenance/retrofit is that software companies specializing in analytics or 3D printing might take a growing share of the lucrative service business pie.

    3 building blocks for success: Siemens and Schneider well placed
    We believe successful companies in an IIoT world will combine an integrated platform of digital solutions; deep domain know-how to give context to data analytics and automation/control activities to in real-time the insights from data analysis on manufacturing processes. Siemens stands out for its comprehensive portfolio of automation and software tools but, the group faces significant digital disruption risks on servicing of its installed base. We rank Schneider and ABB highly. Both have relatively similar IIoT competencies but in different end-markets. We also estimate Schneider is running 5 years ahead of ABB in implementation of its group-wide digital platform and strategy.

     

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    Bezos is selling $1 billion of Amazon stock a year to fund rocket venture

    This article by Irene Klotz for Reuters may be of interest to subscribers. Here is a section: 

    “My business model right now … for Blue Origin is I sell about $1 billion of Amazon stock a year and I use it to invest in Blue Origin," said Bezos, the chief executive of Amazon.com Inc (AMZN.O) and also the owner of The Washington Post newspaper.

    Ultimately, the plan is for Blue Origin to become a profitable, self-sustaining enterprise, with a long-term goal to cut the cost of space flight so that millions of people can live and work off Earth, Bezos said.

    Bezos is Amazon's largest shareholder, with 80.9 million shares, according to Thomson Reuters data. At Wednesday's closing share price of $909.28, Bezos would have to sell 1,099,771 shares to meet his pledge of selling $1 billion worth of Amazon stock. Bezos' total Amazon holdings, representing a 16.95 percent stake in the company, are worth $73.54 billion at Wednesday's closing price.

    For now, Kent, Washington-based Blue Origin is working toward far shorter hops - 11 minute space rides that are not fast enough to put a spaceship into orbit around Earth.

     

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    The Mad Rush to Undo Online Privacy Rules

    This article by Siva Vaidhyanathan for Bloomberg may be of interest to subscribers. Here is a section:

    Republicans in Senate and then House did the opposite this past week, voting along party lines to reverse the consumer protections. Comcast, AT&T, Verizon, and other companies have long wished to leverage personal data, seeing Google and Facebook making billions from it through customized advertising revenue. Most web sites, including Bloomberg.com, track Web use in order to deliver relevant advertisements to users.

    The ISP’s could not win a policy argument before the FCC, but Congress was willing to act quickly amid the flurry of big issues confronting the public in the first 100 days of the new administration.

    Once President Trump signs this bill into law, as he has pledged to do as part of his assault on Obama-era regulation regardless of their value, these telecommunication companies will be able to monitor all sorts of data use and cross-reference it with a user’s location, the time of day, and even the concentration of other service users. As more commerce occurs through phones, these companies could launch payment applications that muscle out similar services from Apple or Google. That kind of consumer data is especially valuable. Then, telecommunication companies could sell ads on the locked or home screen of a phone -- something even Google and Facebook can’t do.

    Beyond that, Congress is also removing regulations that made telecommunication companies responsible for the leads of valuable -- and possibly dangerous -- private information through security breaches.

     

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    Nike Sinks After Sales Slowdown Suggests It's Losing Share

    This article by Matt Townsend for Bloomberg may be of interest to subscribers. Here is a section:

    Nike Inc. tumbled the most in 19 months after third-quarter sales missed estimates, renewing concern that the long-dominant athletic brand is losing market share to Adidas AG and Under Armour Inc.

    Revenue rose 5 percent to $8.43 billion, the Beaverton, Oregon-based company said after the market closed on Tuesday. Analysts estimated $8.47 billion, on average.

    Under Armour and a resurgent Adidas have been grabbing market share from Nike, especially in the U.S. That’s led investors to sour on the stock, which had its first annual decline in eight years last year. And last quarter’s results only reinforced Nike’s woes as North American sales rose just 3 percent. Executives on a conference call didn’t provide much reason for optimism, either. Worldwide futures orders, excluding the effects of currency fluctuations, fell 1 percent, the first drop since 2009. Analysts had predicted a 3.4 percent gain.

     

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    Zara Owner's Margin Shrinks to Eight-Year Low on Currencies

    This article by Rodrigo Orihuela for Bloomberg may be of interest to subscribers. Here is a section:

    Inditex put greater emphasis on online expansion last year, cutting its target for new brick-and-mortar stores. The retailer is also making changes to some of its brands to gain market share, with the most recent example being February’s foray into men’s clothing by the Stradivarius brand, which has focused on women.

    After starting online sales in Singapore and Malaysia this month, the company plans to add such services in Thailand and Vietnam in the next few weeks and also in India this year.

    “India is a very attractive market for us,” Isla said on a conference call with analysts. This year Zara will open a 5,000 square-meter flagship store in Mumbai, which will be its largest store in the country. Inditex has 21 stores in that market.

     

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    Email of the day - on vapes and e-cigarettes

    Hope you are keeping well.

    We are getting loads of orders for Vape labels at the moment and talking to other guys in our industry they are all getting the same - we are talking millions of labels. The industry is seriously expanding, at this time it appears to be multi small to medium players but there must be some serious money to be made somewhere!

    The label, bottle, liquid etc. can't come to more than £1.50 so potential profit is there.
    I know you've probably already had a look but thought I'd mention it!

     

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    Intel to Acquire Mobileye

    This press release may be of interest to subscribers. Here is a section:

    “As cars progress from assisted driving to fully autonomous, they are increasingly becoming data centers on wheels. Intel expects that by 2020, autonomous vehicles will generate 4,000 GB of data per day, which plays to Intel’s strengths in high-performance computing and network connectivity. The complexity and computing power of highly and fully autonomous cars creates large-scale opportunities for high-end Intel® Xeon® processors and high-performance EyeQ®4 and EyeQ®5 SoCs, high-performance FPGAs, memory, high-bandwidth connectivity, and computer vision technology.

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    IBM thinks it's ready to turn quantum computing into an actual business

    This article by Mike Murphy for Quartz may be of interest to subscribers. Here is a section: 

    As it stands, IBM’s largest quantum computer has five qubits. By contrast the average laptop has hundreds of millions of bits in its processors, although the two types of computers are not directly comparable. IBM hopes, however, to continue its research with the aim of building quantum computers with roughly 50 qubits. For comparison, an IBM spokesperson told Quartz, you can simulate the computational power of a 25-qubit quantum computer on a regular laptop. At about 45 qubits, you’d need the world’s fastest supercomputers, and above 50, “you couldn’t build large enough classical computing systems to simulate that size of a quantum system.”

    In IBM’s vision of the future, quantum computers could be used for discovering new drugs, securing the internet, modeling the economy, or potentially even building far more powerful artificial intelligence systems—all sorts of exceedingly complicated tasks. One area the company is looking at right now is in chemistry, attempting to simulate what’s going on in a molecule. “Even for simple molecules like caffeine, the number of quantum states in the molecule can be astoundingly large,” the spokesperson said, “so large that all the conventional computing memory and processing power scientists could ever build could not handle the problem.”

    When Quartz visited IBM’s quantum computing lab in Yorktown Heights in 2015, the work being done was viewed as fundamental—research for the sake of research—rather than anything tied to specific business goals. But then again, so was the research that has since led to the creation of Watson. Originally conceived of to take on the question-as-answers gameshow of Jeopardy!, which researchers saw as a “unique and compelling AI question,” Watson has become a set of machine-learning and AI services that IBM sells, and intends to invest $1 billion into.

     

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