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How the Modern Consumer is Different

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How the Modern Consumer is Different

How the Modern Consumer is Different

There is a prevailing wisdom that says the stereotypical American consumer can be defined by certain characteristics.

Based on what popular culture tells us, as well as years of experiences and data, we all have an idea of what the average consumer might look for in a house, car, restaurant, or shopping center.

But as circumstances change, so do consumer tastes – and according to a recent report by Deloitte, the modern consumer is becoming increasingly distinct from those of years past. For us to truly understand how these changes will affect the marketplace and our investments, we need to rethink and update our image of the modern consumer.

A Changing Consumer Base

In their analysis, Deloitte leans heavily on big picture demographic and economic factors to help in summarizing the three major ways in which consumers are changing.

Here are three ways the new consumer is different than in years past:

1. Increasingly Diverse
In terms of ethnicity, the Baby Boomers are 75% white, while the Millennial generation is 56% white. This diversity also transfers to other areas as well, such as sexual and gender identities.

Not surprisingly, future generations are expected to be even more heterogeneous – Gen Z, for example, identifies as being 49% non-white.

2. Under Greater Financial Pressure
Today’s consumers are more educated than ever before, but it’s come at a stiff price. In fact, the cost of education has increased by 65% between 2007 and 2017, and this has translated to a record-setting $1.5 trillion in student loans on the books.

Other costs have mounted as well, leaving the bottom 80% of consumers with effectively no increase in discretionary income over the last decade. To make matters worse, if you single out just the bottom 40% of earners, they actually have less discretionary income to spend than they did back in 2007.

3. Delaying Key Life Milestones
Getting married, having children, and buying a house all have one major thing in common: they can be expensive.

The average person under 35 years old has a 34% lower net worth than they would have had in the 1990s, making it harder to tackle typical adult milestones. In fact, the average couple today is marrying eight years later than they did in 1965, while the U.S. birthrate is at its lowest point in three decades. Meanwhile, homeownership for those aged 24-32 has dropped by 9% since 2005.

A New Landscape for Business?

The modern consumer base is more diverse, but also must deal with increased financial pressures and a delayed start in achieving traditional milestones of adulthood. These demographic and economic factors ultimately have a ripple effect down to businesses and investors.

How do these big picture changes impact your business or investments?

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3 Reasons Why AI Enthusiasm Differs from the Dot-Com Bubble

Valuations are much lower than they were during the dot-com bubble, but what else sets the current AI enthusiasm apart?

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Two bubbles sized according to the forward p/e ratio of the Nasdaq 100 Index during the dot-com bubble (60.1X) and the current AI Enthusiasm (26.4x).

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The following content is sponsored by New York Life Investments

3 Reasons Why AI Enthusiasm Differs from the Dot-Com Bubble

Artificial intelligence, like the internet during the dot-com bubble, is getting a lot of attention these days. In the second quarter of 2023, 177 S&P 500 companies mentioned “AI” during their earnings call, nearly triple the five-year average.

Not only that, companies that mentioned “AI” saw their stock price rise 13.3% from December 2022 to September 2023, compared to 1.5% for those that didn’t.

In this graphic from New York Life Investments, we look at current market conditions to find out if AI could be the next dot-com bubble.

Comparing the Dot-Com Bubble to Today

In the late 1990s, frenzied optimism for internet-related stocks led to a rapid rise in valuations and an eventual market crash in the early 2000s. By the time the market hit rock bottom, the tech-heavy Nasdaq 100 Index had dropped 82% from its peak.

The growing enthusiasm for AI has some concerned that it could be the next dot-com bubble. But here are three reasons that the current environment is different.

1. Valuations Are Lower

Stock valuations are much lower than they were at the peak of the dot-com bubble. For example, the forward price-to-earnings ratio of the Nasdaq 100 is significantly lower than it was in 2000.

DateForward P/E Ratio
March 200060.1x
November 202326.4x

Source: CNBC, Barron’s

Lower valuations are an indication that investors are putting more emphasis on earnings and stocks are less at risk of being overvalued.

2. Investors Are More Hesitant

During the dot-com bubble, flows to equity funds increased by 76% from 1999 to 2000.

YearCombined ETF and Mutual Fund Flows to Equity Funds
1997$231B
1998$163B
1999$200B
2000$352B
2001$63B
2002$14B

In contrast, equity fund flows have been negative in 2022 and 2023.

YearCombined ETF and Mutual Fund Flows to Equity Funds
2021$295B
2022-$54B
2023*-$137B

Source: Investment Company Institute
*2023 data is from January to September.

Based on fund flows, investors appear hesitant of stocks, rather than overly exuberant.

3. Companies Are More Established

Leading up to the internet bubble, the number of technology IPOs increased substantially.

YearNumber of Technology IPOsMedian Age
19971748
19981137
19993704
20002615
2001249
2002209

Many of these companies were relatively new and, at the peak of the bubble in 2000, only 14% of them were profitable.

In recent years, there have been far fewer tech IPOs as companies wait for more positive market conditions. And those that have gone public, the median age is much higher.

YearNumber of Technology IPOsMedian Age
20204812
202112612
2022615

Ultimately, many of the companies benefitting from AI are established companies that are already publicly traded. New, unproven companies are much less common in public markets.

Navigating Modern Tech Amid Dot-Com Bubble Worries

Valuations, equity flows, and the shortage of tech IPOs all suggest that AI isn’t shaping up to be the next dot-com bubble.

However, risk is still present in the market. For instance, only 33% of tech companies that went public in 2022 were profitable. Investors can help manage their risk by keeping a diversified portfolio rather than choosing individual stocks.

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