Seleccione otro país
Bienvenido a Lyxor España
Por favor, lea la información importante aquí incluida antes de continuar a nuestra página web

Información relevante 

Los ETF UCITS que figuran en este sitio web son fondos con denominación Amundi ETF y Lyxor ETF.

Los Lyxor ETFs presentados en la página web de, pueden ser objeto de restricciones en lo que respecta a la inversión por determinadas personas o en determinados países, en virtud de las distintas regulaciones nacionales aplicables a dichas personas o en dichos países. Cualquier persona que acceda a esta página web desde una jurisdicción en la cual se aplican dichas restricciones tiene que informarse al respecto y observar dichas restricciones. Por consiguiente, le corresponde a usted asegurarse de que, efectivamente está autorizado a invertir en los Lyxor ETFs presentados en esta página web. Invirtiendo en estos productos, usted garantiza a Société Générale que está efectivamente autorizado a invertir. Inversores españoles se deben dirigir a

La información contenida en esta página web no constituye una oferta o invitación para adquirir o vender los productos aquí descritos a personas sometidas a  jurisdicciones donde:

(a) dicha oferta o invitación no esté autorizada;
(b) Lyxor Asset Management no esté cualificada para hacer dicha oferta o invitación;
(c)  sea ilícito hacer dicha oferta o invitación.

Los ETFs referidos en esta página web no han estado y no estarán registrados conforme al U.S Securities Act de1933, por lo tanto, no pueden ser ofertados ni vendidos en los EE.UU sin registro previo o solo en caso de excepción de registro conforme al  al Securities Act. Por consiguiente, los ETFs listados en esta página web no pueden ser vendidos a “U.S persons”, ni transferidos a los Estados Unidos a menos que dicha transacción esté sujeta a los requisitos de registro conforme a la ley Americana.

Esta página web es de carácter comercial y no de carácter legal. No se garantiza la exactitud, exhaustividad o pertinencia de la información aunque ha sido establecida a partir de fuentes consideradas como fiables. La información presentada en esta página web se basa en información de mercado constada en un momento dado que puede variar con posterioridad a su publicación. El valor de reembolso de los Lyxor ETFs puede ser inferior al montante de la inversión inicial. En el peor de los casos, los inversores podrían perder hasta la totalidad de su inversión, por lo que se recomienda a los inversores consultar la sección« factores de riesgo » del folleto del producto. El precio de algunos Lyxor ETFs puede ser sensible a riesgos de tipo de cambio entre la cotización del ETF y/o la divisa del índice y/o la divisa del componente del índice.

Todos los LyxorETFs presentados en esta página web han sido aprobados por la “Autorité des Marchés Financiers (AMF)” y son objeto de un folleto aprobado por la AMF y pasaporteado en la CNMV conforme a la Directiva 2003/71/CE. Dichos folletos están disponibles en esta página Web.

La documentación relativa a los Lyxor ETFs preverá métodos de ajuste y de sustitución para tener en cuenta que consecuencias tendría cualquier suceso extraordinario que afecte a uno o varios de los subyacentes de estos productos.

Antes de invertir en un Lyxor ETF, usted debe hacer su propia valoración del riesgo desde un punto de vista legal, fiscal y  contable, sin depender exclusivamente de la información que le proporcionamos y consultando, si lo estima necesario, sus propios asesores en la materia o cualquier otro asesor independiente.

El inversor de ETFs estará expuesto a los siguientes factores de riesgo: Riesgo de pérdida del capital invertido, al no existir ninguna garantía, como consecuencia de un movimiento desfavorable del Índice de Referencia, Riesgo de que el objetivo de gestión solo se cumpla parcialmente, Riesgo de contrapartida como resultado de la utilización de los instrumentos financieros (OTC) formalizados con un establecimiento de crédito. Se recomienda a los inversores que consulten la sección del folleto antes de invertir.

En la medida en que cumpla con la legislación aplicable, ninguna entidad del Grupo Société Générale acepta responsabilidad alguna por las consecuencias financieras o de cualquier otra naturaleza que resulten de la inversión en este producto.

Tenemos un nuevo hogar

Banner Amundi

Leer más
19 sep 2018

5 surprising companies investing in AI


What is Artificial Intelligence? Put simply, it’s a computer system aiming to match – or exceed – our own cognitive capabilities. No longer the preserve of science fiction, AI is increasingly pervasive in our daily lives – often in ways we’re not even aware of. 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.

 It’s no surprise tech giants like Google, Microsoft and Intel are leading the way, with 77% of total AI investment in 2016 coming from big tech – about $20-30bn worth.1 But what may surprise you is the growing list of less likely contenders, often from sectors outside of technology, harnessing the power of AI to improve their business models and the way they look after their customers. Here are five champions of change:

1 – 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 $15bn 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.

This is by no means Alibaba’s first foray into AI. The company 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.


2 – Netflix

Netflix has come a long way since its early days as a mail-based DVD rental service. It now not only distributes third party content online, it also streams its own movies and shows. 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.


3 – 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. As such, its influence over travelers around the world is hard to dispute.

One reason for their success lies in their 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.


4 –

US software behemoth 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 which empowers Salesforce users with AI.

Salesforce is mainly used by salespeople to manage their prospects. Where Einstein can help is by prioritising leads based on their likelihood to close, for example. It effectively automates 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.

This goes beyond simple filters – Einstein 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. In its latest upgrade, Einstein has also become a chatbot, minimising the need for costly customer service centres.


5 – Tesla

Despite the eccentric antics of visionary frontman Elon Musk in recent months, the Tesla story remains intact and that story 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 vehicle (as well as their drivers) and used to generate very 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 right now. 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 as well as other systems such as traffic cameras, road-based sensors or mobile phones.


Capture the theme with our new Robotics and AI ETF

Embracing the AI and robotics revolution could help future-proof your portfolio. Our ETF gives you exposure to 150 companies – at least 50% more than other competing products2 – 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 bring2.
  • 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.

While some of the stocks we track in our ETF 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. All the companies highlighted in this blog 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

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 20/06/2018. Peer comparison made with European listed ETFs focused on Robotics and Automation, as well as a new ETF focused purely on AI.

Other sources:

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, and upon request to

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 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).

Research disclaimer

Lyxor International Asset Management (“LIAM”) or its employees may have or maintain business relationships with companies covered in its research reports. As a result, investors should be aware that LIAM and its employees may have a conflict of interest that could affect the objectivity of this report. Investors should consider this report as only a single factor in making their investment decision. Please see appendix at the end of this report for the analyst(s) certification(s), important disclosures and disclaimers. Alternatively, visit our global research disclosure website

Conflicts of interest 

This research contains the views, opinions and recommendations of Lyxor International Asset Management (“LIAM”) Cross Asset and ETF research analysts and/or strategists. To the extent that this research contains trade ideas based on macro views of economic market conditions or relative value, it may differ from the fundamental Cross Asset and ETF Research opinions and recommendations contained in Cross Asset and ETF Research sector or company research reports and from the views and opinions of other departments of LIAM and its affiliates. Lyxor Cross Asset and ETF research analysts and/or strategists routinely consult with LIAM sales and portfolio management personnel regarding market information including, but not limited to, pricing, spread levels and trading activity of ETFs tracking equity, fixed income and commodity indices. Trading desks may trade, or have traded, as principal on the basis of the research analyst(s) views and reports. Lyxor has mandatory research policies and procedures that are reasonably designed to (i) ensure that purported facts in research reports are based on reliable information and (ii) to prevent improper selective or tiered dissemination of research reports. In addition, research analysts receive compensation based, in part, on the quality and accuracy of their analysis, client feedback, competitive factors and LIAM’s total revenues including revenues from management fees and investment advisory fees and distribution fees.

Connect with us on linkedin