Wealthspire’s Zach Mangels helps Gen Xers plan so that they can simultaneously help support adult children, care for ageing parents, and cope with potential job loss.
5 min
Gen X families, including affluent ones, face a hornet’s nest of financial challenges, from helping out their adult children to providing care for ageing parents to managing careers in a perilous job market.
Zach Mangels, a senior vice president at Wealthspire Advisors in San Rafael, Calif., estimates a quarter of his clients are in the Gen X demographic.
“Mortgage rates are higher, carrying costs are higher, educational costs are higher, groceries are higher, eldercare is higher—all of that stuff eats into cash flow. And even people with higher incomes are feeling that,” says Mangels, 40.
Barron’s Advisor spoke with Mangels about the financial challenges facing his Gen X clients, people between the ages of 46 and 61.
Mangels touched on how he creates short-term plans for clients concerned about career setbacks, why he recommends boundaries for Gen X parents who want to financially support adult kids, and how he guides clients with ageing parents.
Typically, when you create a financial plan, you’re looking at long-range goals.
But now I look at more immediate needs because of the pressures Gen X families are dealing with.
For example, I see more clients whose children are coming back home after graduating from college, needing financial support for a much longer period of time than previous generations expected to receive.
If they need to support their child, I want to understand the nature of what the support will look like.
I have a client whose kids just graduated and whose majors don’t lend themselves to a high income right now.
They knew their kids would be coming back home after graduation and we talked about what the nature of their help would look like.
First we looked at their financial plan to see what kind of support they could provide and we defined the maximum amount.
Then we designed the support in a way that would be planned, explicit, and with purposeful boundaries.
That’s very important for the younger generation. Parents need to know how to help their kids without them becoming dependent.
The children need to have agency and to know they don’t have access to an unlimited piggy bank.
The clients had a conversation with their kids about what to expect.
The kids could live rent-free for three years, with a small stipend, an amount that didn’t disincentivise them from looking for a job.
In this environment, entry-level jobs are increasingly hard to come by, but any job that moves you closer to a career you want is worth looking at. In this case, their daughter got a job as an assistant to a personal shopper, which was related to the direction she wanted to follow.
I didn’t provide a ton of details to the parents with what exactly to say. But I coached them on the basics—having a clear, purposeful, intentional conversation and getting buy-in from their kids.
The cost of long-term care for seniors has increased dramatically.
One of the conversations I have with my clients is how they perceive their parents’ financial circumstances and to what degree they might have to provide a layer of financial support. My dad was in memory care for a few years and we paid maybe 15 grand a month.
My clients’ parents are usually relatively stable financially. But the most important issue is the use of the family residence to help provide support. A lot of people in California who have owned homes a long time have a lot of equity in those homes. That’s the ultimate backstop, the last line of defence.
Gen X is also dealing with career and income volatility. We’ve seen all the headlines about tech layoffs and the rise of AI. A lot of my clients work in the tech industry.
The conversations I have more frequently focus on clients’ concerns about their ability to continue earning at the same level.
We look at diversifying their equity component more quickly, getting it out of company stock, especially for those in tech.
For example, some clients at Amazon have restricted stock units they can sell periodically. But now they’re selling those (Amazon) stocks and then deploying the [cash into other equities] more slowly.
We’re hearing about how quickly AI is going to change things. For people in software on the front lines, they’re pretty anxious about it.
One client who works at Google told me he expected a lot of change with AI as the disruptive force.
A few companies will benefit, he feels. A lot won’t. So he’s actively selling his company shares.
Historically we would reinvest the proceeds as they’ve come in. But now he wants to slow that down. Hold cash a little bit longer and slowly deploy it.
His perception is that change is coming quickly. He doesn’t know what that will look like but it probably won’t be good.
In behavioural finance, we know you feel a loss much more significantly than you feel a gain. And he’s trying to avoid putting money in the market right before there is a big correction.
It’s super stressful. And as we go into 2026, especially in the tech sector and among those with high incomes, I see a lot of anxiety.
I have another client who works in finance, but the nature of his job moves with economic cycles.
He was laid off at the start of Covid and he’s getting nervous again. It’s a “vibecession” that a lot of people are feeling right now.
Over a year ago, we restructured where his investments are held, so that if he gets laid off and ends up spending his emergency fund, the next thing he’ll tap is a more conservative account we created.
It’s not that we took his overall asset allocation and made it more conservative. We just put more investments in this other account. It’s a matter of asset location and it gives him peace of mind knowing he has a fallback he can tap.
That strategy would be helpful for anybody today. The challenge is if you have accounts with a lot of capital gains.
My work with baby boomer clients often involves conversations about supporting their Gen X and older millennial children.
I’ve seen a lot of parents and grandparents of Gen Xers looking for ways to accelerate their generational wealth transfer, trying to provide assistance now when it’s more impactful on their kids’ lives.
For example, a baby boomer client was looking for ways to help her Gen X son, who is married with a child in middle school, but had started accumulating a lot of debt after he was laid off.
We worked together to model the level of support she could provide and how to structure the assistance so it wouldn’t impact her son’s sense of independence.
Ultimately, she decided on a one-time gift that would cover about six months of living expenses. I call this indirect Gen X planning.
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Nvidia’s earnings will test Wall Street’s confidence in the AI boom.
3 min
Chip makers are fighting to assure investors that the artificial-intelligence boom is racing forward. Wall Street might not believe it until Nvidia’s NVDA -0.98%decrease; down pointing triangle Jensen Huang says so.
When Huang steps up to the mic for his company’s earnings call Wednesday, he will have the world’s attention. What he says about Nvidia’s present will preview the future of AI, dictate the path forward for a tech-crazed stock market and influence an American economy increasingly tethered to hopes that the boom won’t go bust.
The $5 trillion chip maker has provided the key building blocks for AI since the launch of ChatGPT in 2022 set off a race for dominance among OpenAI, Anthropic and established Silicon Valley giants. Now, as Nvidia backstops sprawling data-center projects and an exotic money pipeline to boost chip demand, the company’s influence is arguably bigger than ever.
But there are signs of trouble ahead. Political pushback to AI is growing. A bond selloff propelled borrowing costs to their highest levels in years. The hyperscalers that include some of Nvidia’s key customers—once cash-printing machines—are relying more on debt. OpenAI recently told investors its revenue rose by a tepid 18% in the second quarter while its losses deepened.
Nvidia is increasingly stepping in to shore up potential weak points across the market. Earlier this month, the company teamed up with six of Wall Street’s biggest firms on a $500 billion AI-financing plan, pledging to backstop lending to customers that can’t afford its chips otherwise. The chip maker last week also took a stake in Cloverleaf Infrastructure, which arranges power for data centers, and struck a $6 billion deal with startup Poolside aimed at developing a powerful open-weight AI model.
After watching shares in other chip makers and the so-called Magnificent Seven tech companies swing wildly in recent months, Wall Street is hoping Nvidia can beat expectations—again. The countdown is on.
“It’s kind of becoming more and more like the World Cup final than the Super Bowl at this point,” said Brian Mulberry, chief market strategist at Zacks Investment Management. “It’s just gotten to be that big.”
The company has smashed analysts’ earnings estimates for each of the 14 quarters since the AI boom kicked into high gear. Nvidia posted 210% annual growth in net income in its last three-month period, according to FactSet, making Wall Street’s 126% projection look pedestrian.
Expectations for a blowout second quarter have risen rapidly over the course of this year. All Nvidia will have to do to beat this target: outrun 95% annual earnings growth to more than $51.5 billion. Analysts project the chip maker will report record sales of $92 billion for the period, up from a forecast of $78 billion at the start of this year.
In July, big-tech earnings sparked volatility. Concerns about runaway capital spending spread across the sector after Alphabet’s and Tesla’s results, driving a $890 billion wipeout that contributed to the unwind of hedge fund Situational Awareness. Microsoft posted the largest one-day gain in market capitalization by any company, ever, after a quarter proving that it could still show investors the money. SpaceX rocketed higher after a record-breaking initial public offering, only to see $1 trillion in value evaporate.
Surging memory prices and borrowing costs have fueled fears that those and other companies will be unable to keep plowing more money into supplies including Nvidia chips. Shaia Hosseinzadeh, founder of OnyxPoint Global Management, has recently bought dips in AI-infrastructure stocks when Wall Street has strained to absorb massive debt issued by Silicon Valley.
“The macro data is really quite robust,” he said. “Of course, there’s a level at which everything breaks.”
Investors have kept pumping money into the AI trade despite concerns around chip consumers—and to the benefit of chip producers. That is why Nvidia’s outlook for semiconductor demand could send ripples through counterparts such as Micron Technology and Sandisk, developers of the data centers in which their chips reside, and a supply chain of power producers, contractors and other specialists that underpin the globe-spanning AI build-out.
“We joke internally that we’re all Nvidia analysts now,” said David Lefkowitz, head of U.S. equities at UBS Global Wealth Management.
The irony is that investors have tended to sell Nvidia stock immediately after blockbuster earnings, with shares falling each trading session after its four past quarterly reports. Some are betting that will be the case this time around, too.
The options market is pricing in a 5.3% swing, higher or lower, in Nvidia shares during the session following earnings, according to Option Research & Technology Services. That is higher than the 4.8% average move in Nvidia’s stock over the last 12 months after the company reports quarterly results.
In recent days, some of the most actively traded Nvidia options have been put contracts tied to the stock falling from its Friday value of $214.75 to $205 and $210 apiece, according to Cboe Global Markets data. Put options give the right to sell a stock by a set price and typically represent a bearish wager.
Many analysts remain optimistic. Frank Lee, global head of tech hardware and semiconductor research at HSBC Global Investment Research, recently raised his price target for Nvidia shares to $360 from $325, citing, among other things, Nvidia’s strategic partnerships with suppliers and its role as a top contributor to open-source AI.
