Evaluating The AI Megatrend In 2023

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Global corporate investment in AI has grown from $14.57 billion in 2013 to $189 billion in 2023, representing a 13x increase.Private investment in generative AI has increased by more than 5x relative ...

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Love Employee/iStock via Getty Images By Christopher Gannatti, CFA  The Stanford AI Index for 2024 has grown to more than 500 pages!","collect":0,"end_time":0,"defaultTopTitle":"seekingalpha.com","property":[],"viewcount":null,"language":"en","relate_stocks":{"LU0128525689.USD":"TEMPLETON GLOBAL BALANCED \"A\"(USD) ACC","IE00BSNM7G36.USD":"NEUBERGER BERMAN SYSTEMATIC GLOBAL SUSTAINABLE VALUE \"A\" (USD) ACC","LU0310799852.SGD":"FTIF - Templeton Global Equity Income A MDIS SGD","LU0494093205.USD":"贝莱德ESG灵活多元资产A2 USD-H","BK4514":"搜索引擎","LU0310800965.SGD":"FTIF - Templeton Global Balanced A Acc SGD","WTAI":"WisdomTree Artificial Intelligence and Innovation Fund","IE00BWXC8680.SGD":"PINEBRIDGE US LARGE CAP RESEARCH ENHANCED \"A5\" (SGD) ACC","LU0097036916.USD":"贝莱德美国增长A2 USD","LU0320765059.SGD":"FTIF - Franklin US Opportunities A Acc SGD","GOOGL":"谷歌A","LU0158827948.USD":"ALLIANZ GLOBAL SUSTAINABILITY \"A\" (USD) INC","BK4592":"伊斯兰概念","LU0276348264.USD":"THREADNEEDLE (LUX) GLOBAL DYNAMIC REAL RETURN\"AUP\" (USD) INC","LU0198837287.USD":"UBS (LUX) EQUITY SICAV - USA GROWTH \"P\" (USD) ACC","LU0444971666.USD":"天利全球科技基金","LU0130103400.USD":"Natixis Harris Associates Global Equity RA USD","IE0034235188.USD":"PINEBRIDGE GLOBAL FOCUS EQUITY \"A\" (USD) ACC","LU0149725797.USD":"汇丰美国股市经济规模基金","BK4585":"ETF&股票定投概念","BK4576":"AR","IE00BKVL7J92.USD":"Legg Mason ClearBridge - US Equity Sustainability Leaders A Acc USD","LU0127658192.USD":"EASTSPRING INVESTMENTS GLOBAL TECHNOLOGY \"A\" (USD) ACC","IE00BJTD4N35.SGD":"Neuberger Berman US Long Short Equity A1  Acc SGD-H","BK4566":"资本集团","LU0466842654.USD":"HSBC ISLAMIC GLOBAL EQUITY INDEX \"A\" (USD) ACC","LU0211328371.USD":"TEMPLETON GLOBAL EQUITY INCOME \"A\" (MDIS) (USD)   INC","LU0029864427.USD":"TEMPLETON GLOBAL \"A\" (USD) INC","LU0557290698.USD":"施罗德环球可持续增长基金","BK4527":"明星科技股","BK4077":"互动媒体与服务","LU0234570918.USD":"高盛全球核心股票组合Acc Close","QGRW":"WISDOMTREE U.S. QUALITY GROWTH FUND","LU0170899867.USD":"EASTSPRING INVESTMENTS WORLD VALUE EQUITY  \"A\" (USD) ACC","BK4579":"人工智能","LU0048573561.USD":"FIDELITY AMERICA \"A\" (USD) INC","LU0417517546.SGD":"Allianz US Equity Cl AT Acc SGD","BK4550":"红杉资本持仓","BK4588":"碎股","LU0052756011.USD":"TEMPLETON GLOBAL BALANCED \"A\" (USD) INC","IE00BJTD4V19.USD":"NEUBERGER BERMAN US LONG SHORT EQUITY \"A1\" (USD) ACC","LU0312595415.SGD":"Schroder ISF Global Climate Change Equity A Acc SGD","BK4503":"景林资产持仓","BK4574":"无人驾驶","LU0056508442.USD":"贝莱德世界科技基金A2","LU0080751232.USD":"富达环球多元动力基金A","BK4561":"索罗斯持仓","LU0310800379.SGD":"FTIF - Templeton Global A Acc SGD","BK4573":"虚拟现实","BK4581":"高盛持仓"},"translate_title":"评估2023年人工智能大趋势","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"WTAI":1,"QGRW":1,"GOOGL":0.9},"content_text":"Global corporate investment in AI has grown from $14.57 billion in 2013 to $189 billion in 2023, representing a 13x increase.Private investment in generative AI has increased by more than 5x relative to levels observed in 2022.The U.S. leads in private investment in AI, with no other country coming close to its level of private spending.   Love Employee/iStock via Getty Images By Christopher Gannatti, CFA  The Stanford AI Index for 2024 has grown to more than 500 pages! If you have an interest in AI, this is an incredible resource. But as a form of AI for you on this report, we highlight key takeaways for you. Trends Impacting AI Investment Figure 1 plots global corporate investment in AI back to 2013. The change from $14.57 billion ($B) in 2013 to $189B in 2023 represents a 13x increase. 2021 was the peak level of investment, and 2023 was lower than 2022. M&A activity was $173B in 2021, cut in half to $80.6B in 2023. The scrutiny that M&A activities receive in 2024—especially M&A that involves large technology companies—has been widely publicized.  Private investment also dropped compared to 2021, going to a figure of $96B. It’s still a big number, but higher costs of capital and short-term interest rates put a dampener on activity in lieu of larger capital expenditures, perhaps in AI chips.   Figure 1: Global Corporate Investment in AI by Investment Activity    Now, we would be remiss to leave the discussion there, as the headlines that we are seeing on a daily basis would not naturally lead us to predict that AI investment has been going down. The report evolves each year to best capture new learnings and new details. Generative AI is clearly one of these details, as ChatGPT catapulted this technology into the mainstream. 2023 was the first full year from which we can pull data about different investment activities related to Generative AI. Figure 2:  Indicates private investment in generative AI from 2019 to 2023. Shows that after the catalytic event—the launch and viral uptake of ChatGPT—private investment in generative AI increased by more than 5x the levels observed in 2022.  We believe this trend in generative AI investment is the primary driver behind the headlines we have been seeing for the better part of the last 16 months. Figure 2: Private Investment in Generative AI, 2019 to 2023    The Geopolitics of AI Show Up in the Private Investment in AI One geopolitical rivalry, time and again, is ever-present in the AI headlines: the U.S. versus China. These two countries have the most prolific spending on AI. China is more influential at the government investment level, whereas the U.S. is more focused on the private side—even if we are seeing things like the CHIPS Act encouraging the semiconductor supply chains to shift more toward the U.S. Figure 3 shows that no country, at least on a private investment basis, is spending anything close to what the U.S. is spending, which likely means it will be difficult to challenge U.S. leadership in this area. Figure 3: Private Investment in AI by Geographic Area, 2023    2023 Was a Year of Building AI Applications Looking at figure 4, it’s clear the focus category of 2023 was “AI infrastructure/research/governance,” and then there was everything else. This category took $18.3B of private investment, whereas the next biggest focus area, “NLP, customer support,” took $8.1B. Companies building AI applications, like OpenAI, Anthropic and Inflection AI, are included here. Quantum computing also had a rather significant increase in investment from 2022 to 2023. Drones, on the other hand, saw a rather significant decrease. Figure 4: Private Investment in AI by Focus Area, 2022 vs. 2023    Conclusion: What Are the C-Suites Selling Us? The quarterly earnings calls in which U.S. publicly listed companies engage represent a dance, and the most important takeaway from every call is learning what the C-suite of the specified firm is trying to sell. Figure 5 shows the themes of AI mentions in earnings calls, comparing 2018 to 2023. This is, in our view, the true impact of ChatGPT. This application made the potential of generative AI so exciting that every public company felt it must pay attention and promote actions. Even if the “Attention is all you need”1 paper defining generative pre-trained transformers as an architecture was published in 2017, prior to ChatGPT, corporate America was not really paying close attention. The mentions on Fortune 500 earnings calls with generative AI as a theme increased more than 6,300% from 2018 to 2023. Figure 5: Themes of AI Mentions on Fortune 500 Earnings Calls, 2018 vs. 2023    WisdomTree has focused on the AI megatrend in a few different ways: The WisdomTree Artificial Intelligence & Innovation Fund (WTAI) tracks the returns, before fees and expenses, of the WisdomTree Artificial Intelligence & Innovation Index. This is an exposure across the broad AI ecosystem, and it touches many of the topics that publicly listed companies are pursuing that are mentioned in the Stanford AI Index report. The WisdomTree U.S. Quality Growth Fund (QGRW) tracks the returns, before fees and expenses, of the WisdomTree U.S. Quality Growth Index. This is an exposure to some of the highest-quality companies in the U.S., defined by return on equity and return on assets. It so happens that many of these companies are the ones focused on deploying and developing large language models, such as Microsoft, Alphabet, Amazon.com and Meta Platforms. Both of these Funds can provide exposure to this theme, depending on whether you want more diversified ecosystem exposure and the innovative applications or the mega-caps that are currently benefiting the most. 1 Source: Vaswani et al., “Attention is all you need,” arXiv, 2017. Important Risks Related to this Article For current Fund holdings, please click the respective ticker: WTAI, QGRW. Holdings are subject to risk and change. There are risks associated with investing, including the possible loss of principal. Please read the Fund’s prospectus for specific details regarding the Fund’s risk profile. WTAI: The Fund invests in companies primarily involved in the investment theme of artificial intelligence (AI) and innovation. Companies engaged in AI typically face intense competition and potentially rapid product obsolescence. These companies are also heavily dependent on intellectual property rights and may be adversely affected by loss or impairment of those rights. Additionally, AI companies typically invest significant amounts of spending on research and development, and there is no guarantee that the products or services produced by these companies will be successful. Companies that are capitalizing on innovation and developing technologies to displace older technologies or create new markets may not be successful. The Fund invests in the securities included in, or representative of, its Index regardless of their investment merit, and the Fund does not attempt to outperform its Index or take defensive positions in declining markets. The composition of the Index is governed by an Index Committee, and the Index may not perform as intended. QGRW: Growth stocks, as a group, may be out of favor with the market and underperform value stocks or the overall equity market. Growth stocks are generally more sensitive to market movements than other types of stocks. The Fund is non-diversified; as a result, changes in the market value of a single security could cause greater fluctuations in the value of Fund shares than would occur in a diversified fund. The Fund invests in the securities included in, or representative of, its Index regardless of their investment merit. The Fund does not attempt to outperform its Index or take defensive positions in declining markets, and the Index may not perform as intended.    Christopher Gannatti, CFA, Global Head of Research Christopher Gannatti began at WisdomTree as a Research Analyst in December 2010, working directly with Jeremy Schwartz, CFA®, Director of Research. In January of 2014, he was promoted to Associate Director of Research where he was responsible to lead different groups of analysts and strategists within the broader Research team at WisdomTree. In February of 2018, Christopher was promoted to Head of Research, Europe, where he was based out of WisdomTree’s London office and was responsible for the full WisdomTree research effort within the European market, as well as supporting the UCITs platform globally. In November 2021, Christopher was promoted to Global Head of Research, now responsible for numerous communications on investment strategy globally, particularly in the thematic equity space. Christopher came to WisdomTree from Lord Abbett, where he worked for four and a half years as a Regional Consultant. He received his MBA in Quantitative Finance, Accounting, and Economics from NYU’s Stern School of Business in 2010, and he received his bachelor’s degree from Colgate University in Economics in 2006. 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