In the first two weeks of October, only 5% of American businesses used AI to produce goods and services, highlighting that market enthusiasm has not yet translated into widespread adoption in the real economy. However, an all-time high of 40% of S&P 500 companies mentioned AI on earnings calls in both Q1 and Q2 of 2024. In the IT sector, 91% of companies discussed AI. Those that cited AI on Q2 earnings calls saw a 12.2% increase in stock prices since December 31, 2023, compared to an 8.6% increase for companies that did not mention AI.
Approximately 70% of workers recognize the potential of AI to improve the quality of their work, using technologies such as automated reading and writing, predictive maintenance systems, and various monitoring applications. Workers leveraging AI can command a 25% wage premium. Additionally, 69% of CEOs across industries believe AI will require most of their workforce to develop new skills. Conversely, 55% of individuals express concerns about job security. However, Goldman Sachs predicts that workers displaced by AI automation will eventually become reemployed, although the transition may take time.
Companies face challenges related to data quality and data security. AI systems relying on poor-quality data produce unfavorable outcomes. Organizations must also address privacy concerns and mitigate associated risks. Furthermore, current networks are not equipped to handle the increased demands of computing, storage, and network infrastructure required by AI applications. To support the complexity and scale of these workloads—such as training, advanced data analytics, and autonomous systems like intelligent chatbots—firms must make significant investments. While many are not yet prepared to do so, those that move quickly will gain a decisive advantage over slower competitors.
Baseline AI adoption is projected to boost productivity growth by 1.5% annually over the next decade, with an upside scenario of 3%. The software industry is expected to benefit the most, with margin expansion exceeding 5% within five years. Other sectors—including energy, utilities, media, transportation, commercial services, and consumer durables—are estimated to experience margin growth of more than 2%. In total, AI-enabled cost savings could reach up to $55 billion annually across S&P 500 companies.
SOURCES
Visual Capitalist, Oct 2024 - AI’s Effect on Industry Margins Over the Next Five Years
World Economic Forum, July 2024 - How young workers can thrive with AI when they have the right skills
FactSet, Sept 2024 - More Than 40% of S&P 500 Companies Cited “AI” on Earnings Calls for Q2
Goldman Sachs, July 2023 - How Much Could AI Boost US Stocks
Forbes, Oct 2024 - Are Businesses Ready For The Next Phase Of AI Implementation?
DISCLAIMER
The opinions expressed are those of Henon Financial Technologies Inc. (“Henon”). The information and/or analysis contained in this material have been compiled or arrived at from sources believed to be reliable but Henon does not make any representation as to their accuracy, correctness, usefulness or completeness and does not accept liability for any loss arising from the use hereof or the information and/or analysis contained herein. Henon disclaims any responsibility to update such information. Neither Henon or its affiliates, nor any of their directors, officers or employees shall assume any liability or responsibility for any direct or indirect loss or damage or any other consequence of any person acting or not acting in reliance on the information contained herein.
All overviews and commentary are intended to be general in nature and for current interest. While helpful, these overviews are no substitute for professional tax, investment or legal advice. Clients should seek professional advice for their unique situation. Neither Henon nor any of its affiliates or representatives is providing tax, investment, or legal advice. Past performance does not guarantee future results. This material was prepared solely for informational purposes, does not constitute an offer or an invitation by or on behalf of Henon to any person to buy or sell any security and is no indication of trading intent in any fund or account managed by Henon. No investment strategy or risk management technique can guarantee returns or eliminate risk in any market environment. Unless otherwise specified, all data is sourced from Henon.
The Stylized Henon Design, and Henon Logo are trademarks of Henon Financial Technologies Inc.