Catering to Your Midlife Crisis Is a Growing Business

Americans want their midlife crisis to be more productive. This presents, for a growing number of companies, coaches and consultants, a multimillion-dollar opportunity.

Some programs are online and charge a couple hundred dollars. Others take place in exotic spots and feature luxury accommodations, yoga and surfing classes for thousands of dollars. Discounts are sometimes available.

Fuelling the businesses are longer lifespans, leading more people to search for meaningful pursuits in their 40s, 50s and 60s. Some psychologists call this period a second adulthood when identity-shaping roles, from executive to full-time parent to caregiver, can fall away, causing some to re-evaluate.

“Transition is a skill we need to master in an era of increased longevity and change,” said Chip Conley, co-founder of Modern Elder Academy, or MEA, which offers online and in-person workshops.

Some studies show life satisfaction reaches a low point around the mid-40s, perhaps because of stress linked to the demands of work and family. That juggle, coupled with little time for self-reflection, leaves many people unsure how to approach their next chapter.

Instructors in midlife programs explore topics including psychological development in midlife and ageism, which can cause people to believe they are “irrelevant, over the hill, and that their best years are behind them,” said Conley.

He created MEA after working at Airbnb, where the home-sharing company’s young founders dubbed him a modern elder at age 52. The workshops aim to help participants learn to better navigate stressful transitions, including layoffs, divorce and the death of loved ones.

Space for self-reflection

Like the months long academic programs several universities have launched for adults nearing the end of careers, most midlife courses bring together groups of eight to 50 people.

“These programs give people the space and structure to consider not just what, but who they want to be at this stage,” said Barbara Waxman, a gerontologist who teaches at MEA.

Nadia Al Yafai, 46, said she discovered the Midlife ReThink, a $385 online program, after being laid off recently from a senior position at a U.K. insurer.

The Midlife ReThink proved transformational, she said, adding that meeting others who felt similarly unanchored comforted her.

Started in 2020 by Avivah Wittenberg-Cox, a coach and consultant who specialises in gender and generational balance in the workforce, the program consists of three 90-minute online sessions for about 25 participants.

“A lot of people suffer through transitions on their own, as if this is some terrible thing they are going through,” said Wittenberg-Cox. “Community is the key to helping people realize it’s normal and fairly predictable at this age and stage to get restless” and crave change, she said.

Al Yafai said an exercise that asked her to define what she wants from the next seven years led her to start a consulting business.

“I went from feeling a bit lost at not being part of my old world anymore to realising there’s this new world of people doing really interesting things,” she said.

‘We still have value’

Reboot Partners, which provides workshops and coaching on career and other transitions, has organised two weekend-long retreats this year, in Santa Fe, N.M., and Sag Harbor, N.Y., for $1,895. Participants visualize their perfect life and discuss fears and motivations around change, said co-founder Jaye Smith.

On an oceanfront campus in Mexico’s Baja California Sur, MEA teaches courses on re-creating careers, embracing midlife and optimising longevity. It also offers weeks long online programs on transitions, purpose and reframing retirement for $395 to $1,250. It plans to open a campus in Santa Fe, N.M., next year.

Lisa Fitzpatrick said MEA, which she first attended in 2019, helped her face down barriers to success.

Dr. Fitzpatrick, 55, was launching Grapevine Health, which publishes online health information for low-income communities. She relished the opportunity to interact with Conley, a veteran entrepreneur.

The Washington, D.C., resident said an exercise to identify self-limiting beliefs helped her conquer a fear of being too old to start a business. She returned to Baja five times to attend workshops on entrepreneurship and healthcare.

For that first visit, she received a scholarship for a seven-day stay that now costs $4,000 to $5,500.

One exercise Fitzpatrick particularly enjoys involves stacking rocks on the beach. “It sounds kind of woo-woo,” she said. But the task of balancing a big rock on a small one helped her overcome mental barriers to what she could achieve. “MEA helps people in midlife realise we still have value,” she said.

Finding a purpose

Some programs explore next acts or spirituality.

Dallas-based Halftime Institute’s offerings include a two-day, $2,500 couples retreat and a $25,000 yearlong program. The latter features in-person and online sessions, as well as one-on-one coaching on relationships, health, faith and finding one’s calling.

“Not everyone who goes through it is Christian but that’s the perspective we come from,” said Co-Chief Executive Jim Stollberg. “We talk about a calling, rather than a purpose.”

For $2,500, Union Theological Seminary in New York offers a four-month Encore Transition program, with virtual sessions on topics such as spirituality in midlife and finding work with social purpose.

Consultant Carolyn Buck Luce leads a group of women through a weeks long online program called the Decade Game that costs $2,250. It challenges participants to set goals to guide their next decade in areas including education and purpose.

“It’s about being able to declare the purpose you were called to,” said Luce.

A sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.

The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.

The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.

The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.

This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.

The debt behind the AI build-out

Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.

Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.

JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.

The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.

That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.

A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.

When interest rates rise, those assumptions become less forgiving.

Inflation changes the calculation

September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.

The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.

CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.

Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.

Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.

The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.

China adds another source of pressure

Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.

Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.

The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.

That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.

A reset rather than the end of the boom

The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.

What has changed is the market’s willingness to overlook the price and financing structure of that growth.

The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.

More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.

For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.

Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.

The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.

Fact box

Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026

Philadelphia Semiconductor Index: Down approximately 11.4 per cent

Micron Technology: Down approximately 14.6 per cent

Samsung Electronics: Down approximately 18 per cent

SK Hynix: Down approximately 24 per cent

US September inflation: 3.7 per cent annually

Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion