Editor’s Note: The Conversational Alpha® (CA) is the vehicle we use for deeper, more empathetic discussions about portfolio construction. In that sense, it represents both a journey and a destination. This report is a regular survey of trips and destinations that investors may wish to consider.
How long did it take ChatGPT to reach 100 million users? That’s about 2 months, a fast pace that far exceeds the adoption rate of other disruptive technology platforms such as TikTok, Instagram, and Netflix. . To find that little trivia, I read Generative AI, Explained. What I didn’t do was ask ChatGPT. why? ChatGPT cannot answer that question. As of now, the ChatGPT knowledge deadline is September 2021.
Current generative artificial intelligence (AI) systems are limited, fallible, and can produce inaccurate and misleading information. But its early impact is already far-reaching, with global spending on AI projected to more than double to over $300 billion by 2026, and the impact is even greater. will be1 The impact of AI is definitely showing in market performance this year. A sizable portion of the S&P 500’s year-to-date returns came from his five big names, with most of that gain coming from his involvement in AI. This is another reason why AI’s omnipresence feels all-consuming in his 2023, and that feeling may continue.
My early experiments with ChatGPT have been positive, whether it’s for brainstorming and outlining ideas, summarizing content, or seeing the crossing of “t” and “i” in reports like this. As AI systems evolve and become more powerful for more people, they have the potential to dramatically reshape economies and transform how businesses operate. We don’t yet know exactly how they will behave, but as the situation evolves, there will be many new considerations for investors to digest.
conversation starter
- The AI narrative is dominated by big players, but small and medium-sized businesses are also gaining ground.
- Technology is often disruptive because of its utility, and AI is no exception.
- The risks of AI are conceivable, but so are the solutions.
- Summary: Portfolio considerations.
- Moving on… Let’s take a look at the chart: The Treasury General Account needs cash.
Small-scale technology can help drive the AI integration trend
Since the generative AI platforms on the market at this time are incomplete, this period will be something of a testing phase for both individual users and businesses. The platform is continuously developed. Experiment with it over time and you’ll see how quickly it improves.
To understand the long-term integration path, Microsoft’s partnership with OpenAI, developer of ChatGPT, could provide something of a preview. Microsoft has built ChatGPT into Word, Excel, and Bing. These are functional applications for content creation, data visualization and analysis, and web search, respectively. In other words, Microsoft has introduced technology into existing software that can provide a foundation for widespread adoption in everyday use.
An interesting aspect of AI development at this stage is that smaller players like OpenAI can be just as disruptive or even more disruptive with their solutions than larger players. The AI race has begun among big tech companies, which could lead to more partnerships and integrations like Microsoft and OpenAI. It could also be a blow to the sluggish IPO market so far this year, as companies begin to figure out how to package AI into new products.2
AI can transform industries with new practicalities
Segments plagued by bottlenecks are ripe for AI adoption. Healthcare is distinguished by the vast amount of data that healthcare providers need to analyze, including electronic medical records and imaging data. With the help of AI, these datasets can be turned into new diagnostic tools to predict patient outcomes and improve the overall patient care experience. From a customer service perspective, the ability of generative AI to answer questions in a timely manner could be a welcome change in healthcare.
Education also has the potential to grow, as AI may open up opportunities for personalized and alternative education. The ability of generative AI to respond to complex queries allows it to essentially become a personal tutor. It also helps teachers and school administrators develop and manage curricula that need to be adapted to prepare students for the AI-infused labor market.3
Legal services is another area full of bottlenecks that generative AI can alleviate. Rapid research, writing, and summarizing capabilities enable law firms to increase productivity, reduce costs for clients, and increase the likelihood of favorable outcomes. AI is also being used in courts to assist in the production of sentencing reports and, in some cases, to aid in the delivery of sentences.Four
AI risk profile undetermined
Innovation begets innovation, and the AI revolution has parallels to previous technological advances, with the first applications paving the way for more complex and innovative applications. Consider the evolution from personal computers to the Internet to cloud computing. If we’ve learned anything from the trajectories of these technologies, we know that their evolution has had its ups and downs. We expect AI to follow a similar trajectory, though it may accelerate in comparison.
Innovation also creates new risks as applications become more complex and their deployment more widespread. AI poses many risks. Workers face vastly different labor markets. By one estimate, worldwide he has 300 million jobs at stake.Five Businesses should be mindful of the regulatory environment in which they operate to avoid potential legal and financial pitfalls. According to a recent report, 73% of senior IT leaders are concerned about AI producing biased results, and 79% are concerned about security risks.6
Alphabet and Google CEO Sundar Pichai recently said AI will affect “every product from every company.” The adoption process doesn’t always go smoothly. “Things are going to go wrong,” he briefly said of his company’s ongoing public testing of Bard.7 We have a lot of work to do to implement AI safely, effectively, and even morally. However, as the risk profile of AI becomes more transparent, so too will the solutions, potentially creating significant growth opportunities for investors.
Summary: Portfolio Considerations
In my view, investors should have exposure to companies that can implement and monetize AI for long-term portfolio performance. The second half of this cycle and the next will see companies poised to adapt and transform to new market conditions in the post-COVID-19 environment of rising inflation, rising interest rates, deglobalisation, and the push for clean energy. . Businesses need to invest in productivity, and AI offers compelling enhancements.
Getting in touch with companies that use AI technology effectively can bring new growth potential to their portfolio, especially when AI is gaining market leadership across a range of industries, from tech giants to manufacturing. may be rebuilt. The application of AI and the impact of that application, such as the critical need for cybersecurity solutions, is just one example of the myriad of intersections AI creates.
Let’s take a look at the chart: Treasury bill issuance across the debt ceiling conflict
The good news is that lawmakers raised the debt ceiling in the nick of time. The not-so-good news is that the extraordinary measures used to fund the government during the stalemate have drained the US Treasury coffers to near record lows. As I have written before, the Treasury Department now needs to restructure its funds quickly through the issuance of short-term bills. A net $1.4 trillion in banknote supply is expected between now and the end of the year, reaching $1 trillion by the end of August.8
The surge in T-bills issuance is likely to equate to a hike in money market interest rates, perhaps even twice, so the Fed is likely to proceed cautiously. While this is unlikely to disrupt the market, it may result in some volatility. Historically, when debt ceiling-related Treasury bill issuance reduces market liquidity, equities do not respond well in the short term.
