ETFdb Logo
  • ETF Database
  • Content Hubs
    • Themes
      • Active ETF
      • Alternatives
      • Artificial Intelligence
      • China Insights
      • Core Strategies
      • Crypto
      • Disruptive Technology
      • Energy Infrastructure
      • ETF Building Blocks
      • ETF Investing
      • ETF Strategist
      • Financial Literacy
      • Fixed Income
      • Free Cash Flow
      • Future ETFs
      • Innovative ETFs
      • Institutional Income Strategies
      • Leveraged & Inverse
      • Market Insights
      • Market Outlooks
      • Modern Alpha
      • Nuclear Energy
      • Portfolio Strategies
      • Sector Investing
      • Tax Efficient Income
      • Thematic Investing
    • Asset Class
      • Equity
        • U.S. Equity
        • Int'l Developed
        • Emerging Market Equities
      • Alternatives
        • Gold/Silver/Critical Materials
        • Cryptocurrency
        • Currency
        • Volatility
      • Fixed Income
        • Investment Grade Corporates
        • US Treasuries & TIPS
        • High Yield Corporates
        • Int'l Fixed Income
    • ETF Ecosystem
    • ETFs in Canada
    • Market Outlook
    • Crypto ETF Hub
  • Tools
    • ETF Screener
    • ETF Country Exposure Tool
    • ETF Database Categories
    • Indexes
    • Scenario Analysis
    • Watchlists
    • Head-To-Head ETF Comparison Tool
    • Mutual Fund To ETF Converter
    • ETF Stock Exposure Tool
    • ETF Issuer Fund Flows
  • Research
    • ETF Education
    • Equity Investing
    • Dividend ETFs
    • Leveraged ETFs
    • Inverse ETFs
    • Index Education
    • Index Insights
    • Top ETF Sectors
    • Top ETF Issuers
    • Top ETF Industries
  • Webcasts
  • Sectors
    • Sector Investing Content Hub
    • XLK
    • XLI
    • XLU
    • XLY
    • XLP
    • XLRE
    • Sector Power Rankings
    • XLE
    • XLC
    • XLF
    • XLV
    • XLB
  • Multimedia
    • ETF 360 Video Series
    • ETF of the Week Podcast
    • Gaining Perspective Podcast
    • ETF Prime Podcast
    • Video
  • Company
    • About VettaFi
  • PRO
    • Pro Content
    • Pro Tools
    • Advanced
    • FAQ
    • Free sign up
    • Login
  1. ETF Education Content Hub
  2. Financial Services Could Drive Next Round of AI Adoption
ETF Education Content Hub
Share

Financial Services Could Drive Next Round of AI Adoption

Todd ShriberMay 24, 2024
2024-05-24

The first wave of the AI boom was dominated by the “enablers.” Those are companies like Nvidia (NVDA), Alphabet (GOOG), and Facebook parent Meta Platforms (META), among others.

Share price appreciation by those enablers and others have fueled gains for the Invesco QQQ Trust (QQQ B) and the Invesco NASDAQ 100 ETF (QQQM B+). Those two ETFs are heavy on many of the leading large-cap artificial intelligence names. Of course, enablers need adopters to, well, adopt to ensure long-term success for any new disruptive technology.

When it comes to AI, the encouraging point for investors considering individual equities as well as funds such as QQQ and QQQM is that AI has applications in a variety of industries. Already, AI is making its presence felt in the healthcare and industrial sectors, to name just two. And financial services could power another lengthy wave of  AI adoption.

QQQ Holdings Can Benefit From Financials’ AI Adoption

QQQ and QQQM follow the Nasdaq-100 Index (NDX). That index is a gauge of the 100 largest nonfinancial Nasdaq-listed firms. Despite the exclusion of financial services firms (the ETFs have a 0.48% weight to that sector), QQQ and QQQM are more than adequately levered to the theme of AI expansion in this industry. That’s a good thing, because financial services is viewed as fertile territory for AI adoption.

“The financial services industry is no exception to this trend. Just as the emergence of fintech enabled enhanced algorithmic trading and customized portfolio management, artificial intelligence has the potential to drive a new wave of opportunities to improve efficiency, customization and agility in investment management,” noted J.P. Morgan Asset Management.

As AI stands today, most experts believe it’s flawed and unreliable regarding overt securities selection. However, that doesn’t diminish the technology’s potential potency in other areas of financial services. AI can optimize portfolio construction. And the use of large-language models (LLM) make trading in size more efficient.

“Given the increasing size, frequency and complexity of trades, AI can help traders reduce transaction costs and improve execution. For instance, an LLM interface can quickly provide traders with relevant pricing data across exchanges while helping identify the best time, size and venue for trades,” added J.P. Morgan.

Bottom line: Artificial intelligence can fill a lot of voids in the financial services space. Thus, it’s not surprising the industry is one of many expected to boost use of the technology over the next six months.


Content continues below advertisement

For more news, information, and analysis, visit the ETF Education Channel.

Loading Articles...

Advertisement

Is Your Portfolio Positioned With Enough Global Exposure?

ETF Education Channel

How to Allocate Commodities in Portfolios

Tom LydonApr 26, 2022
2022-04-26

A long-running debate in asset allocation circles is how much of a portfolio an investor should...

Core Strategies Channel

Why ETFs Experience Limit Up/Down Protections

Karrie GordonMay 13, 2022
2022-05-13

In a digital age where information moves in milliseconds and millions of participants can transact...

}
X