Future-proof your portfolio with a Robotics & AI ETF

Future-proof your portfolio with a Robotics & AI ETF
  • LinkedIn  

Technology, and the development of Artificial Intelligence (AI for short), may be the tools to solve many of the world’s biggest problems including pollution, climate change and hunger. Of course, AI has its detractors, but few doubt its long-term significance. Machine learning – the ability of computers to “learn” without being programmed – could reshape economies, industries and, ultimately, societies across the globe.

Disruption lies ahead

AI is already in our homes, with millions of households reverberating to shouts of “Alexa” or, just as likely, “Alexa off”, and “Hey Siri”; in our cars, with crash prevention technology and intelligent maps. Robots are being used in ‘smart’ warehouses, in medicine and farming. The potential applications (and implications) are vast.

While the more traditional areas of robotics and information technology are currently leading the charge for change, there’s little doubt the use of AI is spreading. It will, in time, become a disruptive general purpose technology.

As a result, market revenues are set to grow rapidly, creating what could be a very significant investment opportunity indeed. Adding the right Robotics & AI exposure could help keep your portfolio on the right side of this change.

Capture the theme with Lyxor’s new Robotics & AI ETF

Embracing the AI and robotics revolution could help future-proof your portfolio. Our new ETF gives you exposure to 150 companies – at least 50% more than other like for like products in Europe 2 – harnessing the power of AI, whether for themselves or their customers. It is unique in three ways:

  • Better balanced → Our ETF is more heavily weighted to AI leaders than competing European products, but it doesn’t ignore the benefits robotics can bring.2
  • More capable of capturing change → We look beyond industrials and technology to AI innovators in areas such as retail, health care, energy and finance to better capture the theme.
  • More likely to evolve →We’ve introduced a new way of classifying what constitutes a robotics or AI company – a combination of big data analytics and human expertise – ensuring our ETF won’t get left behind as the industry evolves.

Find out more about the Lyxor Robotics & AI UCITS ETF

Five surprising companies in our underlying index

While some of the stocks we track do overlap with other like-for-like products in Europe, 64 (or around 40%) of them are unique to us. In our view, this helps us capture the trend more broadly and accurately than other strategies. The companies below are in our underlying index and are, at least in terms of blended robotics and AI portfolios, entirely unique to us. Three of the five can’t even be found in a new pure play AI ETF.2

Alibaba: The Chinese government is committed to becoming the largest AI player in the world, to the benefit of companies like Alibaba. In late 2017, the e-commerce giant announced its plans to invest $15 billion over three years in a global research and development programme, with projects focusing on data intelligence, machine learning, the Internet of Things, and natural language processing.

Alibaba has transformed around a million physical ‘mom-and-pop’ shops and 100 superstores into “smart stores” by decking them out with AI-backed apps and heat sensors tracking foot traffic to better manage inventory and boost sales. Another example of Alibaba’s command of AI is its “City Brain” traffic project in Hangzhou. Using a cloud-based system, the technology stores and processes data about the movements of everyone in the city. AI algorithms can then help reduce traffic jams, and better respond to accidents and crimes.

Netflix: The Netflix name may have become synonymous with a quiet night in but the importance of AI to its business model is far less familiar. Netflix uses machine learning algorithms to make personalised viewing recommendations. It compares the collective feedback of a group of subscribers who have watched a film or show with your past viewing habits. If your taste matches that of the group, the film or show they watched will pop up as a suggestion for you. Netflix claims over 80% of TV shows people watch are a direct result of a recommendation they make.

Another underrated way in which Netflix leverages AI lies in its actual streaming technology. The company’s main goal is to deliver as much content as possible to its customers, within the limits imposed by internet providers (e.g. bandwidth speed, data caps…etc). To achieve this, Netflix recently re-encoded its entire library of content with an AI-powered video optimiser that aims to maximise image quality and minimise bandwidth consumption. The result? A growing, happy subscriber base capable of enjoying content without wiping out their data plans.

TripAdvisor: According to a comScore report commissioned by travel website TripAdvisor, they were the most visited pre-transaction travel site in the world over the second and third quarters of 2017. One reason for TripAdvisor’s success lies in its ability to deliver the right reviews to the right customers at the right time, depending on where they are in their holiday planning. To do this, their recommendation technology employs a machine learning technique called ‘collaborative filtering.’ The idea is to match users with specific interests to reviews with relevant content. In its view, “not every millennial wants to live like a local; not every family wants to live like a tourist.” By tapping into the website’s massive data sets and giving users a personalised experience, AI can really make a difference.

Salesforce.com: US software behemoth Salesforce.com is known for its cloud-based client relationship management product. And one of its self-proclaimed missions is to democratise AI, which it kick-started in 2016 with its announcement of Einstein, a programme that goes beyond simple filters and studies historical customer data such as e-mail threads and behavioural patterns to keep getting smarter over time. The result is a powerful and predictive customer experience designed to maximise sales figures by helping salespeople prioritise leads based on their likelihood to close, for example, effectively automating time-consuming tasks so the seller can focus on their hotter prospects. Marketers can also benefit by sorting recipients in large mailing lists by their likelihood to open an e-mail. In its latest upgrade, Einstein has also become a chatbot, minimising the need for costly customer service centres.

Tesla: Despite the eccentric antics of Elon Musk in recent months, the Tesla story remains intact and is founded on big data and AI. The company is desperate to win the race to build and market fully automated, driverless cars and doing so requires data – the thousands of Tesla-built cars on the road already mean they have a huge head start.

Data is extracted from every Tesla vehicle (as well as its driver) and used to generate detailed maps showing everything from the average increase in traffic speed over a stretch of road to the location of hazards which cause drivers to take action. Machine-learning in the cloud then educates the entire fleet, while edge computing decides what action any given individual car needs to take immediately. Cars can form networks with other Tesla vehicles nearby to share local information and insights.

If and when autonomous cars become as widespread as Musk maintains, these networks will be able to interface with cars from other manufacturers and other systems, such as traffic cameras, road-based sensors, or mobile phones.

Find out more about the Lyxor Robotics and AI UCITS ETF

 

This article is for informative purposes only, and should not be taken as investment advice. Lyxor ETF does not in any way endorse or promote the companies mentioned in this article. Capital at risk. Please read our Risk Warning below.

1Source: McKinsey Global Institute, June 2017.
2Source: Lyxor International Asset Management, as of 14 September 2018. Peer comparison made with European listed ETFs focused on Robotics and Automation, as well as a new ETF focused purely on AI.
Other sources:
https://www.forbes.com/sites/bernardmarr/2018/07/23/the-amazing-ways-chinese-tech-giant-alibaba-uses-artificial-intelligence-and-machine-learning/#ab2d9b5117a9
https://www.forbes.com/sites/bernardmarr/2018/01/08/the-amazing-ways-tesla-is-using-artificial-intelligence-and-big-data/#66a107144270
https://www.wired.co.uk/article/how-do-netflixs-algorithms-work-machine-learning-helps-to-predict-what-viewers-will-like
https://venturebeat.com/2017/10/26/deep-learning-algorithms-could-secure-the-future-of-4k-streaming/
https://www.phocuswire.com/TripAdvisor-AI-reviews
https://www.wired.com/story/inside-salesforces-quest-to-bring-artificial-intelligence-to-everyone/

Risk Warning​

This document is for the exclusive use of investors acting on their own account and categorized either as “Eligible Counterparties” or “Professional Clients” within the meaning of Markets in Financial Instruments Directive 2004/39/EC. These products comply with the UCITS Directive (2009/65/EC). Société Générale and Lyxor International Asset Management (LIAM) recommend that investors read carefully the “investment risks” section of the product’s documentation (prospectus and KIID). The prospectus and KIID are available free of charge on www.lyxoretf.com, and upon request to [email protected]
The products mentioned are the object of market-making contracts, the purpose of which is to ensure the liquidity of the products on the London Stock Exchange, assuming normal market conditions and normally functioning computer systems. Units of a specific UCITS ETF managed by an asset manager and purchased on the secondary market cannot usually be sold directly back to the asset manager itself. Investors must buy and sell units on a secondary market with the assistance of an intermediary (e.g. a stockbroker) and may incur fees for doing so. In addition, investors may pay more than the current net asset value when buying units and may receive less than the current net asset value when selling them. Updated composition of the product’s investment portfolio is available on www.lyxoretf.com. In addition, the indicative net asset value is published on the Reuters and Bloomberg pages of the product, and might also be mentioned on the websites of the stock exchanges where the product is listed.
Prior to investing in the product, investors should seek independent financial, tax, accounting and legal advice. It is each investor’s responsibility to ascertain that it is authorised to subscribe, or invest into this product. This document is of a commercial nature and not of a regulatory nature. This material is of a commercial nature and not a regulatory nature. This document does not constitute an offer, or an invitation to make an offer, from Société Générale, Lyxor Asset Management (together with its affiliates, Lyxor AM) or any of their respective subsidiaries to purchase or sell the product referred to herein.
Lyxor International Asset Management (LIAM), société par actions simplifiée having its registered office at Tours Société Générale, 17 cours Valmy, 92800 Puteaux (France), 418 862 215 RCS Nanterre, is authorized and regulated by the Autorité des Marchés Financiers (AMF) under the UCITS Directive (2009/65/EU) and the AIFM Directive (2011/31/EU). LIAM is represented in the UK by Lyxor Asset Management UK LLP, which is authorized and regulated by the Financial Conduct Authority in the UK under Registration Number 435658. Société Générale is a French credit institution (bank) authorised by the Autorité de contrôle prudentiel et de résolution (the French Prudential Control Authority).

  • LinkedIn  

More on Equities