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Exploring 2023 Artificial Intelligence Themes
Earlier this year, CES (formerly known as the Consumer Electronics Show) returned to Las Vegas, NV in full swing, with over 3,200 exhibitors from robotics and wellness to automotive and Web3. Key themes emerged from the event that give insights into the future of technology and its potential for lucrative financial investment.
The first obvious theme that pervaded most of CES was the strong emphasis on sustainability. Perhaps incentivized1 by the Inflation Reduction Act’s tax credits, many companies shared net zero plans and others presented technologies that offer more sustainable solutions than conventional alternatives. Where this trend was most obvious was in the automotive sector.
At a time when the auto industry is posting its worst sales year in a decade2, auto manufacturers came to CES with new sustainable and innovative technologies. In addition to most auto companies’ releases of new EV models, some companies like VW and BMW revealed2 more adaptive technologies that respond to driver preferences, while Mercedes-Benz announced2 its plan to expand its EV charging station network. Overall, it appears that automotive companies want to position themselves as tech companies, or at least as more tech-savvy.
Even non-auto industry companies are entering the automotive industry. Samsung, LG, and Sony presented3 smart car platforms to enhance safety and the driving experience. The fact that Samsung, LG, Sony, and many others are able to enter into the auto industry speaks to the increased interoperability and cross-sector integrations of the technologies showcased at CES. Of notable importance was the unveiling of Matter’s interoperability4 technology, which will be critical for the future of the Internet of Things (IoT)5 that also took off this year at CES.
Another strong theme of CES was that IoT is booming, with more solutions-oriented creativity in the home and health sectors. Healthcare in particular is focusing on self-monitoring4, enabled by AI, hardware, software, and IoT devices of all kinds. Nearly every aspect of our lives are becoming monitored or controlled with IoT products, whether you’re in your home, at work, in nature, or traveling from one to the other.
As tempting as it might be to invest in the latest delivery robot or color-changing vehicle at CES, TrueShares has a different approach that builds on the themes presented. The TrueShares Technology, AI and Deep Learning ETF (LRNZ) includes a diversified portfolio of tech companies that can be integrated into everything from cars, robots, and VR headsets to IoT innovations and AI-enabled home and health devices.
CES 2023 showcased the power and diversity of its technology for enabling more sustainable products, like the new Foxconn EV6. Nvidia technology7 is also all over the automotive industry, from in-car gaming to omniverse manufacturing simulation to autonomous tractors. It’s safe to say the IoT category wouldn’t be where it is today without Nvidia technologies, like the AI-enabled baby stroller8 by GlüxKind. And even though the metaverse9 is just getting started, Nvidia has a strong stake in its future with the Nvidia Omniverse and advanced 3D AI generative tools for virtual worlds. We believe Nvidia can be a multi-category killer that exemplifies the LRNZ investment strategy and touches every theme observed at CES this year.
For a complete list of holdings and to learn more about TrueShares Technology, AI & Deep Learning ETF (LRNZ), visit www.www.true-shares.com/lrnz.
- https://www.fastcompany.com/90834105/ces-2023-green-tech-evs-tvs-energy-saving-home
- https://www.wsj.com/articles/the-future-of-car-technology-as-seen-at-ces-2023-11673099177
- https://www.cnet.com/tech/the-6-most-important-tech-trends-we-saw-at-ces-2023/
- https://www.forbes.com/sites/timbajarin/2023/01/10/my-perspective-on-important-trends-from-ces-2023/?sh=3fce63655153
- https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-the-internet-of-things
- https://www.bizjournals.com/sanjose/news/2023/01/04/ces-nvidia-foxonn-partnership.html
- https://www.nvidia.com/en-us/events/ces/
- https://blogs.nvidia.com/blog/2022/12/28/jetson-innovation-awards-ces/
- https://www.adtech.yahooinc.com/post/ces-2023-5-trends-from-this-years-show-advertisers-need-to-leverage
There is no guarantee that an investment strategy will be successful or profitable. The TrueShares AI & Deep Learning ETF (AI ETF) is subject to risk including but not limited to the following: Artificial Intelligence, Machine Learning and Deep Learning Investment Risk – the extent of such technologies’ versatility has not yet been fully explored. There is no guarantee that these products or services will be successful and the securities of such companies, especially smaller, start-up companies, are typically more volatile than those of companies that do not rely heavily on technology. IPO Risk – The Fund may invest in companies that have recently completed an initial public offering that are unseasoned equities lacking a trading history, a track record of reporting to investors, and widely available research coverage. IPOs are thus often subject to extreme price volatility and speculative trading. New Issuer Risk – Investments in shares of new issuers involve greater risks than investments in shares of companies that have traded publicly on an exchange for extended periods of time.
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