An expertly crafted evaluation of forces shaping the economy over the coming decade and portfolio management strategies designed to harness them
In Coming Into How AI and Other Megatrends Will Shape Your Investments, Vanguard’s Global Chief Economist and head of its Investment Strategy Group, Joe Davis, makes a simple and profound that the “status quo” view of the United States economy – one of predictable and relatively constant measures of growth, inflation, and financial returns – is actually deeply unlikely to hold true in the future. The book demonstrates how the promise of artificial intelligence and technological advancement may push against the daunting headwinds of slowing population growth, rising geopolitical tensions and growing national debt, to reshape the economy in ways that conventional thinking overlooks. Davis presents an innovative and original, data-driven framework to consider the probabilities of the coming tug-of-war between AI-fueled growth and inflationary structural fiscal deficits, that can help guide investors as they build investment portfolios to weather uncertain years ahead.
Inside the
Effective strategies for investors attempting to prepare for different economic possibilities and scenarios in the world. New data and models to better quantify the impact of economic forces and uncover the risks of relying on consensus assumptions. Techniques to avoid common investment mistakes in times of economic change, such as doubling down on technology stocks, or avoiding certain types of investments. Guiding investing principles to help achieve greater financial returns, on a risk-adjusted basis. A must-read resource for professional and retail investors, Coming Into View is a startlingly insightful and practical guide for anyone seeking to engage with the financial markets as an informed and confident investor.
A narrow, biased perspective coupled with fuzzy math yields no useful information here. This book has too many problems to list. But, for example federal tax revenue fluctuating between 15 and 20% of GDP is described as "stable" and not a variable worth trying to forecast despite the fact that an increase of just 3% would eliminate our 2025 primary deficit. Also, the Figure 7.1 compares an empirical distribution of average GDP growth in the decades from 1920 to 2022 to the means of current forecasts of the next decade. That makes no sense. You have to compare an entire forecast distribution to the empirical distribution if you want a meaningful comparison. You cannot complain that the distribution of a forecast is too narrow or too symmetrical compared to history if you never describe the distribution of the forecast. Also, there is nothing one could call a predictive model in the appendix. It's just more adhoc fluff like the rest of the book.
Taking a tour of non-fiction, this book by Davis lays out his framework for investing - focusing on megatrends; the buzzword of AI being the latest one.
His approach to investing is fairly standard - given his (Vanguard) background, it's heavy into the buy & hold school. I enjoyed his thesis about megatrends and how they can cause leaps in opportunity investing.
Like the author, I'm not sure if AI is the next PC (didn't lead to massive leap) or software (which did) - but I found the discussion interesting and thought provoking. I recommended it to both of my kids - think it's a good intro to portfolio investing.
This is an excellent, though deep dive look at the future of the stock and bond markets in the coming AI-drive economy. It will likely only interest those that are in the industry or invest for themselves.
It is written by the Chief Global Economist of Vanguard so he clearly has all the data on which to base his conclusions. I didn't agree with all of his conclusions, but it is thought-provoking and does an excellent job at helping form a framework on how to view the next 1/3/5/7 years in the market.
Highly recommended for those in finance and anyone interested in the impact of AI on the markets.
Very digestible, thorough book on investing in the modern day. It simply explains why investing for several different outcomes of the world (transformative ai versus ai that largely disappoints for example) is the best course for the vast majority of investors. I learned a lot and will keep it as a reference.
Some interesting insight on the history of Megatrends, and trying to apply that knowledge to how it may impact markets going forward. Quite theoretical, but well cited and some interesting insight on offer. Timely in its subject matter, but looking at the next 15 years of markets rather than the immediate 'now' controversy of AI's market cap.
Siena. AY wedding. Good overview of the primary forces (deficit spending vs AI productivity) to shape the future and the many ways it can play out. Concise, easy to read and to the point.
Interesting if a little dry. Essentially boils down to a short thesis on advice for making small adaptations to a traditional balanced portfolio in response to the competing impacts of demographic pressure on government debt and AI acting as a growth engine.