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How to Invest in Artificial Intelligence

Your capital is at risk if you invest. You could lose all your investment. Please see the full risk warning here.

  • What is AI
  • Why is AI popular
  • How to invest in AI

Artificial intelligence (AI) is quickly reshaping our lives, creating keen interest among investors seeking long-term growth investment prospects. The interest in AI traces back to November 2022, when ChatGPT – a groundbreaking chatbot service by OpenAI debuted publicly.

Understanding AI

AI refers to the development of computer systems capable of performing tasks, which typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, understanding natural language, and interacting with the environment. AI systems are designed to replicate cognitive functions like learning from experience and adapting to new situations.

Importance of AI

Artificial intelligence has now profoundly impacted our world and become an integral part of our daily lives. The technology fuels our smartphones, home devices, enables autonomous vehicles, etc. AI research and development is rapidly changing operations in governments, societies, and industries. In 2035, AI technologies are actively sculpting the future and are envisioned to increase labour productivity by up to 40%.

AI has reshaped industries, ranging from healthcare to finance, revolutionizing the way we approach problems and make decisions. Today, AI continues to evolve rapidly, with deep learning algorithms, inspired by the human brain, expanding the boundaries of machine comprehension and capability.

We are at the brink of a future where AI holds the potential to transform every facet of our lives. AI has become an integral part of most companies and is used in various technologies such as automation, machine learning, NLP, robotics, self-driving cars, machine vision, etc.

How to invest in AI

Investing in AI has become increasingly popular in recent years, as the technology continues to revolutionise industries such as healthcare, finance, and transportation. One challenge of investing in AI is that there are few pure-play AI opportunities available on the market.

There are several different ways to invest in AI today. Investors can buy the shares of publicly traded companies that develop AI software and manufacture the hardware that runs AI applications. Alternatively, there is an emerging category of exchange-traded funds (ETFs) that invest in artificial intelligence companies.

Investing in leading AI companies

Buying individual AI stocks has been in “vogue” over the past year with many of them generating stellar returns for shareholders. Many of the world’s leading tech companies are investing heavily in AI and deploying it across existing services to improve them. It’s a prudent approach to look at the leading AI stocks on the market.

Many large tech companies are investing heavily and leverage AI in different ways, such as NVIDIA, Super Micro Computer Inc, Qualcomm, ARM Holdings, Amazon, Google, Microsoft, etc. These companies are at the forefront of AI technology and have rewarded investors immensely.

These are just a few of the companies that will be at the forefront of the AI race in the years ahead. All of these companies either provide the tech that powers AI or benefit the most from implementing it into their core businesses.

Investing in AI ETFs

An ETF is a basket of stocks that can be bought and sold on the stock exchange like individual stocks. ETFs are an excellent way to capitalise on the booming demand for AI investments avoiding the guesswork and risk involved with choosing individual stocks. AI ETFs are lower risk alternative to owning AI stocks.

There are presently nearly 20 U.S. ETFs focusing on companies producing computer chips for the AI industry or using AI in their business.

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Source: Worldwide Next Move Strategy Consulting

AI outlook

Following a stellar run, the valuations of some AI stocks might be getting stretched, although not reaching the extreme levels witnessed during the dot.com bubble. While a pull back in AI stocks could be seen in the short-term, the long-term up trend is far from over.

The continuous research and innovation by tech giants are driving the adoption of advanced technologies in various industries such as automotive, manufacturing, healthcare, finance, and retail.

The artificial intelligence market is expected to grow strongly in the coming decade. The global AI market value of around $200 billion in 2023 is expected to grow up to nearly $2 trillion by 2030.[1]

Footnotes:
  1. Next Move Strategy Consulting

Your capital is at risk if you invest. You could lose all your investment. Please see the full risk warning here.

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Violeta Todorova

Senior Research

Violeta è entrata a far parte di Leverage Shares nel settembre 2022. È responsabile dello svolgimento di analisi tecniche e ricerche macroeconomiche ed azionarie, fornendo pregiate informazioni per aiutare a definire le strategie di investimento per i clienti.

Prima di cominciare con LS, Violeta ha lavorato presso diverse società di investimento di alto profilo in Australia, come Tollhurst e Morgans Financial, dove ha trascorso gli ultimi 12 anni della sua carriera.

Violeta è un tecnico di mercato certificato dall’Australian Technical Analysts Association e ha conseguito un diploma post-laurea in finanza applicata e investimenti presso Kaplan Professional (FINSIA), Australia, dove è stata docente per diversi anni.

Julian Manoilov

Marketing Lead

Julian è entrato a far parte di Leverage Shares nel 2018 come parte della prima espansione della società in Europa orientale. È responsabile della progettazione di strategie di marketing e della promozione della notorietà del marchio.

Oktay Kavrak

Head of Communications and Strategy

Oktay è entrato a far parte di Leverage Shares alla fine del 2019. È responsabile della crescita aziendale, mantenendo relazioni chiave e sviluppando attività di vendita nei mercati di lingua inglese.

È entrato in LS da UniCredit, dove è stato responsabile delle relazioni aziendali per le multinazionali. La sua precedente esperienza è in finanza aziendale e amministrazione di fondi in società come IBM Bulgaria e DeGiro / FundShare.

Oktay ha conseguito una laurea in Finanza e contabilità ed un certificato post-laurea in Imprenditoria presso il Babson College. Ha ottenuto anche la certificazione CFA.

Sandeep Rao

Research
Sandeep è entrato a far parte di Leverage Shares nel settembre 2020. È responsabile della ricerca sulle linee di prodotto esistenti e nuove, su asset class e strategie, con particolare riguardo all’analisi degli eventi attuali ed i loro sviluppi. Sandeep ha una lunga esperienza nei mercati finanziari. Iniziata in un hedge fund di Chicago come ingegnere finanziario, la sua carriera è proseguita in numerose società ed organizzazioni, nel corso di 8 anni – da Barclays (Capital’s Prime Services Division) al più recente Index Research Team di Nasdaq. Sandeep detiene un M.S. in Finanza ed un MBA all’Illinois Institute of Technology di Chicago.

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