Di Tran University — College of Humanization presents this interactive research brief as part of its ongoing Applied Social & Economic Futures Series.

This work examines a visible yet under-analyzed phenomenon shaping modern society: the large-scale withdrawal of young men from traditional pathways of work, independence, and social participation. Rather than framing the issue through ideology or moral judgment, this research explores structural forces—economic distortion, digital saturation, social fragmentation, and artificial intelligence—that are redefining incentives, behavior, and human development.

The analysis integrates:

• Long-term economic trend comparisons
• Demographic and social participation patterns
• Behavioral feedback loops driven by technology
• The accelerating impact of AI on entry-level opportunity

This publication reflects Di Tran University’s core mission: to humanize data, technology, and policy through applied research that prioritizes dignity, agency, and long-term resilience. The objective is not to prescribe politics or culture, but to illuminate realities that institutions, educators, families, and individuals must understand in order to adapt intelligently.

This work is presented in an interactive, visual format to make complex systems legible, accessible, and actionable for a broad audience—including students, researchers, policymakers, and community leaders.

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Academic & Educational Use Disclaimer

This publication is produced by Di Tran University – College of Humanization for research, educational, and public-interest discussion purposes only.

• All data visualizations represent aggregated trends, modeled scenarios, or illustrative simulations based on publicly available research, historical datasets, and established socioeconomic literature.
• Certain figures are directional or hypothetical and are used to demonstrate structural relationships—not to assert precise forecasts or individual outcomes.
• This work does not constitute legal, medical, psychological, financial, or investment advice.
• No political endorsement, ideological advocacy, or partisan position is intended or implied.

Interpretations expressed herein reflect institutional research perspectives, not personal judgments about individuals or demographic groups. Readers are encouraged to consult original data sources, peer-reviewed studies, and domain experts when applying insights to policy or practice.

Executive Abstract

The early 21st century has witnessed the emergence of a silent yet profound socio-economic crisis affecting a specific demographic cohort: young men aged 25 to 35. This report provides an exhaustive examination of the convergence of historical economic stagnation, the collapse of traditional social structures, and the accelerative impact of artificial intelligence (AI) on this group. The analysis reveals that a significant portion of this demographic has retreated from the hallmarks of adulthood—employment, independent housing, and family formation—into a “digital hermitage” characterized by parental co-habitation, video game consumption, and reliance on gig-economy sustenance. By contrasting current economic realities with the Great Depression of the 1930s, this report argues that while top-line GDP growth remains positive, the “lived economy” for young men reflects a depression-era collapse in purchasing power and social mobility. Furthermore, the report investigates the mechanisms of “Cognitive Warfare,” where digital distraction and algorithmic polarization replace physical riots, serving to divert attention from structural inequities. Finally, it outlines strategic pivots for economic survival and pedagogical frameworks for raising resilient children in an era where human agency is increasingly besieged by synthetic intelligence.

Part I: The Anatomy of Stagnation – The Status of Young Men (25–35)

1.1 The Retreat to the Parental Home: A Historical Anomaly

The definitive metric of the current crisis is the unprecedented delay in household formation. For the post-war generation, the departure from the parental home was the foundational rite of passage into adulthood. Today, that milestone is increasingly postponed or abandoned entirely.

As of early 2024, the share of young adults aged 25 to 34 living with parents or parents-in-law stands at approximately 19.1%.¹ While this represents a slight decline from the pandemic-induced peak of 22% in 2017-2018, it remains elevated by historical standards, with almost one in five young adults residing in the parental home.¹ This aggregate figure, however, obscures a profound gender disparity. Young men are significantly more likely to live at home than their female counterparts, with 20% of men aged 25-35 residing with parents compared to 15% of women.²

This phenomenon is not merely a matter of preference but reflects deep structural shifts in the housing market and family formation. Census data indicates that among the 25–34 age group, a significantly larger share of women (43%) live with a spouse compared to men (34%).³ This suggests that while women are successfully transitioning into independent marital households—often with older partners—a substantial surplus of young men remain in a state of suspended adolescence. The trend is further nuanced by racial and ethnic factors, with White young adults generally less likely to live at home than their Asian, Hispanic, and Black counterparts, indicating that cultural norms regarding multi-generational living intersect with economic necessities.²

The implications for the housing market are seismic. Traditionally, young adults in this age bracket constitute nearly half of all first-time home buyers.¹ Their withdrawal from the market has profound implications for housing demand, suppressing the formation of new households and contributing to the stagnation of the entry-level property market. While construction starts for townhouses—a more affordable entry point—have remained strong, comprising nearly 20% of single-family housing starts in late 2025 ¹, the broader trend points to a generation of men priced out of the American Dream.

1.2 The NEET Phenomenon: The “Lost” Labor Force

Parallel to the housing retreat is the withdrawal from the workforce. The classification of “NEET” (Not in Education, Employment, or Training) has become a critical indicator of social decay. While the narrative of the 20th century was one of increasing workforce participation, the 21st century is witnessing a troubling reversal for young men.

In 2024, approximately 12% of men aged 16-24 were classified as NEETs.⁴ While this figure might seem comparable to female rates, the long-term trend is alarming. Over the past 30 years, the NEET rate for young women has notably declined—driven by increased college enrollment and labor force integration—while the rate for young men has steadily increased from 10% in 1990 to 12% in 2024.⁴ In some regions, this shift is even more pronounced. In the United Kingdom, recent data shows that male NEET levels have now surpassed female levels, reversing a decades-long trend where young women were more likely to be economically inactive due to childcare.⁵

The “Great Opt-Out” is most visible in the prime-age male labor force participation rate. For men aged 25-54, participation has declined from a high of 98% in 1954 to approximately 89% in early 2024.⁶ This is not merely cyclical unemployment; it is a structural exit. Many of these men are not counted in standard unemployment statistics because they have ceased looking for work entirely. The inactivity is particularly acute among those without college degrees, who find that the current labor market offers insufficient wage incentives to justify participation.⁷

Table 1: Trends in NEET Rates and Labor Inactivity

Metric	Trend (1990–2024)	Key Drivers
Male NEET Rate (US)	Increased from 10% to 12% 4	Economic restructuring, mismatch of skills, wage stagnation.
Female NEET Rate (US)	Decreased from 19% to 13% 4	Higher educational attainment, delayed childbirth.
Prime-Age Male Participation	Declined from 98% (1954) to ~89% (2024) 6	Automation, disability claims, cultural disengagement.
Regional Variance	Highs of 20% (Alaska) vs. Lows of 7% (Minnesota) 4	Local economic conditions, resource dependency.

The reasons for this inactivity are multifaceted. Health-related barriers are frequently cited, with 57% of prime-age men not in the labor force reporting physical or mental health issues as the primary reason for their status.⁶ However, this self-reported data often masks the underlying psycho-social drivers: a lack of purpose, the availability of low-cost digital entertainment, and the diminishing returns of low-status labor.

1.3 The Digital Anaesthetic: Gaming and the Gig Economy

If these young men are not working in traditional careers, how are they occupying their time and sustaining their existence? The data points to a massive reallocation of human capital toward digital leisure and subsistence living.

Time-use surveys reveal a stark generational divide in leisure consumption. Men aged 25-34 spend significantly more time gaming than any other demographic. In 2024, the average daily time spent playing games for this group was 0.54 hours, compared to 0.37 hours for the general population.⁸ When combined with general computer use for leisure (0.29 hours), young men are spending nearly an hour a day on active digital engagement, a figure that is likely much higher for the specific sub-segment of unemployed men living at home. Conversely, their time spent reading for personal interest (0.17 hours) is significantly lower than the population average.⁸

This lifestyle is economically sustained by the “convenience economy” and parental subsidies. The reliance on food delivery services has shifted from a luxury to a lifestyle staple. Men aged 25-34 are prolific users of services like Uber Eats and DoorDash. Data indicates that men spend 19% more on dining out than women ⁹, and among delivery app users, 40% order takeout 3-5 times a month.¹⁰ The paradox of “not working” yet “ordering Uber Eats” is resolved by the gig economy itself; many young men engage in sporadic, low-commitment gig work to fund these specific consumption habits, or rely on parental transfers, effectively cycling money within a low-growth consumption loop.

This “gamification of existence”—where achievement is measured in digital trophies rather than career milestones, and sustenance is delivered via app—creates a closed psychological loop. The home environment, once a launchpad, becomes a comfortable stasis field, insulated from the friction of the real world.

1.4 The Collapse of Courtship: The “Never Ask” Generation

The economic withdrawal of young men is mirrored by a profound social withdrawal, particularly in the realm of romantic pursuit. We are witnessing a historic collapse in dating confidence and relationship formation.

Roughly 63% of men under the age of 30 report being single, a figure vastly higher than their female counterparts, suggesting that young women are dating older men or that a small percentage of men are dating multiple women.¹¹ More critically, the intent to date is evaporating. The share of single men who are actively looking for a committed relationship or even casual dates dropped by 11 percentage points between 2019 and 2022.¹²

The narrative of “25 or more men never asking a girl out” is supported by data showing a decline in social risk-taking. Fear of rejection, economic insecurity, and the ambiguity of modern social norms have led to a paralysis of initiation. This is exacerbated by political polarization; young men have swung dramatically to the right (56% voting for Trump in 2024), while young women have moved left, creating a values chasm that makes dating fraught with ideological friction.¹³

Table 2: The Dating Recession

Indicator	Statistic	Implication
Male Singleness (<30)	63% of men are single 11	A majority of young men are socially isolated.
Dating Intent	11% decline in men seeking relationships 12	Men are voluntarily opting out of the mating market.
Political Polarization	56% of young men voted Republican vs. 60% of young women voting Democrat 13	Ideological incompatibility reduces the dating pool.

This isolation feeds a mental health crisis of unprecedented scale. The percentage of U.S. adults reporting depression exceeded 18% in 2024 and 2025, a historic high.¹⁴ While women are more likely to seek therapy, men are suffering in silence. The “male loneliness epidemic” is characterized by a lack of emotional outlets; men communicate less frequently with friends and are less likely to turn to support networks than women.¹⁵ The result is a generation of men who are economically stagnant, socially isolated, and psychologically vulnerable.

Part II: The Economic Reality – 1930s vs. 2020s

To understand the severity of the current malaise, one must look beyond the veneer of stock market highs and compare the fundamental economics of survival today against the benchmark of American hardship: the Great Depression. The user queries whether people today are making less in “worst time in history” metrics. The answer lies in purchasing power parity regarding essential assets.

2.1 The Income-to-Asset Disconnect

Superficially, incomes have risen dramatically. In raw dollars, personal disposable income per capita has grown from $609 in 1930 to over $55,000 in 2022.¹⁶ Even adjusted for inflation, income is nearly seven times higher. However, this aggregate growth masks a catastrophic collapse in the purchasing power of labor relative to assets, specifically housing.

In the 1930s, during the depth of the Depression, the average annual income was approximately $1,368. However, housing values had plummeted, with the average home costing about $3,900.¹⁷ This resulted in a home-price-to-income ratio of roughly 2.8 to 3.5. A single worker, if they could find a job, could purchase a family home with roughly three years of gross salary.

In contrast, in the 2024/2025 economy, while the median salary hovers around $71,000, the median home price has exploded to over $450,000.¹⁷ The ratio has effectively doubled to 6.5x or 7x in many markets. This fundamental math dictates that buying a home today requires more than double the proportional labor required during the Great Depression.

Table 3: Purchasing Power Comparison – 1930s vs. 2020s

Economic Metric	Great Depression (c. 1930s)	Modern Era (2024–2025)	Analysis
Avg. Annual Income	~$1,368 17	~$71,456 17	Nominal increase is massive, but…
Avg. Home Price	~$3,900 17	~$453,700 17	Asset inflation has outpaced wages.
Price-to-Income Ratio	~2.8x	~6.3x	Housing is >2x less affordable today.
Tax Rate (Avg)	~3.35% 20	~15% – 25% 20	Higher tax burden reduces net income.
Grocery Cost	Eggs: $0.18/doz 20	Eggs: ~$3.00-$5.00/doz	Essentials have inflated, but less than assets.

2.2 The “Silent Depression” of Inflation

The “Depression” of the 1930s was deflationary—prices fell, which crushed debtors (farmers, homeowners) but actually increased the purchasing power of every dollar held. The “Depression” of the 2020s is inflationary regarding assets. The cost of the “American Dream”—a house, education, healthcare—has skyrocketed, while the cost of distractions—TVs, games, food delivery—has remained relatively low.

This bifurcation creates a “Silent Depression.” A young man today can afford a better television than a tycoon in 1930, but he cannot afford the room to put it in. In 1925, taxes were almost an afterthought; today, the average worker loses a significant portion of their income to taxes before paying for inflated housing.²⁰ This erosion of “real” disposable income allocated to wealth-building assets is the economic engine driving the retreat to the parental home. It is a rational response to an irrational market: when the game is rigged against ownership, the player stops playing.

Part III: The AI Accelerant – Deepening the Crisis

Into this fragile economic and social ecosystem comes Artificial Intelligence. AI acts not merely as a technological tool but as a hyper-accelerant to the trends of isolation and displacement. It operates on two distinct fronts: the economic displacement of entry-level labor and the psychological capture of male attention.

3.1 The Economic Guillotine: The End of the Entry-Level Job

For decades, the path to economic independence for young men involved “paying dues” in entry-level white-collar roles—junior analysts, data entry clerks, coders, and sales representatives. These roles provided the salary to move out and the skills to move up. AI is systematically eradicating these rungs of the ladder.

Research from 2025 identifies a phenomenon known as the “Delegation Flip,” where AI usage has shifted from “augmentation” (helping humans) to “automation” (replacing humans).²¹ AI agents are increasingly entrusted with end-to-end tasks, rendering the junior human employee obsolete.

• Displacement: Bloomberg research indicates that AI could replace over 50% of tasks performed by market research analysts and 67% of tasks for sales representatives—roles that traditionally absorbed thousands of male college graduates.²²
• The “Paper Ceiling”: Companies in 2025 have reduced new graduate hiring by 25% compared to prior years. This is not a cyclical hiring freeze but a structural erasure of roles.²³
• Impact on Young Men: Employment for workers aged 22–25 in AI-exposed occupations declined by 6% between 2022 and 2025, while employment for older, more experienced workers actually increased.²⁴

AI effectively saws off the bottom rungs of the career ladder. A young man living at home in 2025 faces a job market where the “starter jobs” are done by software. This forces him either into low-status manual service work (which he culturally rejects) or keeps him in the “NEET” category, waiting for an opportunity that is mathematically disappearing.

3.2 The Psychological Capture: AI Girlfriends and the Dopamine Trap

While AI removes economic purpose, it simultaneously provides a potent sedative. The “loneliness” described in the user’s query is being aggressively monetized by AI companions.

We are witnessing the rise of the “AI Girlfriend.” Nearly 1 in 3 men under the age of 30 report having interacted with an AI romantic partner.²⁵ These relationships are not merely curiosities; they are becoming emotional substitutes. Over 16% of young adults surveyed agreed that AI companion apps are a “good alternative” to real partners, and 21% found AI-generated pornography more morally acceptable than real pornography.²⁶

The appeal is dangerous in its simplicity. An AI partner offers unconditional validation, infinite patience, and customizable intimacy without the fear of rejection, the financial cost of a date, or the complexity of human compromise. For a young man already anxious about his economic status and social skills, the AI offers a “risk-free” relationship.

The Dopamine Mechanism:

This reliance is reinforced by the neurochemistry of addiction. The “dopamine loop,” as described in works like Dopamine Nation, explains how the brain’s reward system—evolved for scarce resources—is hijacked by the super-normal stimuli of digital feeds and AI interactions.28

• The Loop: The uncertainty of the reward (a like, a new message, a loot box unlock) releases dopamine. Social media and AI interfaces are engineered to maximize this “intermittent reinforcement”.²⁹
• The Crash: Chronic overstimulation leads to a dopamine deficit state, manifesting as anxiety, depression, and anhedonia (the inability to feel pleasure from normal activities).²⁸

The result is a vicious cycle: The young man feels lonely -> turns to AI/Gaming for relief -> floods brain with cheap dopamine -> feels increased anxiety/depression when offline -> retreats further into the digital world. This mechanism accelerates the “never asking a girl out” phenomenon by satisfying the biological drive for connection with a synthetic placebo.

3.3 The Algorithms of Doom

Furthermore, the algorithms that govern content consumption amplify despair. “Doomscrolling”—the compulsive consumption of negative news—has been linked to poor physical and mental health.³⁰ For young men, algorithms often feed a diet of “manosphere” content, economic doomerism, and rage-bait. This reinforces a worldview that society is collapsing, validating their choice to opt out. The algorithm learns that “hopelessness” keeps them scrolling, so it serves them hopelessness on demand.³¹

Part IV: Chaos, Riot, and “Cognitive Warfare”

The user’s query draws a comparison to times of “chaos, riot, torture, and war” and suggests that today there is an “internet war to simply bring attention and divert attention.” This observation aligns with the concept of Cognitive Warfare, a military and sociological framework that defines the modern battlefield not as land or sea, but as the human mind.

4.1 From Kinetic Riots to Digital Polarization

In the 1930s, unrest was physical and kinetic.

• The 1930s Model: When the Bonus Army of 20,000 veterans marched on Washington in 1932, they physically occupied space to demand economic redress.³³ Strikes involved millions of workers physically shutting down factories.³⁴ The “chaos” was visible, collective, and directed at tangible targets (banks, government).
• The 2020s Model: Today, “riots” are often digital. The unrest is atomized. Instead of marching on a capital, millions of young men rage in comment sections or on discord servers. This is “Cognitive Warfare,” where the objective of adversaries (both foreign and domestic) is to destabilize social trust and fracture national unity by manipulating information.³⁵

4.2 The Attention Economy as Diversion

The user notes that “internet war” serves to “bring attention and divert attention.” This is precisely the function of the Attention Economy.

• Weaponized Distraction: In the attention economy, human focus is a commodity to be extracted. Platforms function by creating “emotional mobilization”—often negative—to keep users engaged.³⁶
• The “Torture” of Comparison: While physical torture is a horror of war, the domestic “torture” of the modern era is psychological. It is the torment of the “filtered life,” where young men are constantly bombarded with curated images of success, wealth, and beauty that are statistically unattainable, fueling feelings of inadequacy and depression.³⁸
• Algorithmic Polarization: Algorithms have been proven to shift political attitudes and increase polarization without the user’s conscious awareness.³⁹ This fragmentation serves to divert attention from structural economic issues (like the housing crisis) and refocus it on identity politics or culture wars. The “war” is fought between citizens over definitions of gender or history, while the economic machinery that disenfranchises them remains unchallenged.

Part V: The Pivot – Thriving in the Chaos of Creation

History demonstrates that periods of deep economic disruption are also periods of immense opportunity for those who can pivot from consumption to creation. The 1930s saw the rise of new industries; the 2020s offer the same potential for the prepared.

5.1 Lessons from the Depression: The Innovation of Necessity

During the Great Depression, businesses that adapted to the new reality thrived.

• Procter & Gamble: Realizing that even in a depression, people need soap and entertainment, P&G sponsored radio dramas to reach housewives, inventing the “soap opera.” They pivoted from mere manufacturing to content marketing.⁴⁰
• The Entertainment Pivot: As expensive luxuries became unaffordable, the radio became the center of the home. It provided low-cost escapism. The lesson is clear: in hard times, provide high-value, low-cost utility or escapism.⁴¹

5.2 The 2025 Pivot: The Rise of the AI Operator

For the young men currently “opting out,” the same AI that threatens their employment offers a lifeline. The barrier to entry for business creation has collapsed. The “Pivot” for this demographic is to transition from an AI Consumer (passive victim of algorithms) to an AI Operator (active wielder of tools).

The “One-Person Unicorn” Model:

AI tools allow a single individual to replicate the output of a traditional agency.

• The AI Agency: Young entrepreneurs are using tools like ChatGPT (content), Midjourney (design), and Zapier (automation) to offer high-value services to businesses. Instead of being the entry-level employee, they become the automation consultant who replaces the entry-level employee.⁴²
• Solopreneurship: Case studies from 2024/2025 show young men scaling “content factories” or specialized consulting firms to $20k-$30k monthly revenue with zero staff, leveraging AI to handle the grunt work.⁴²
• Strategic Shift: The key is to move “upstream.” If AI writes the code, the value is no longer in coding, but in architecting the solution. If AI writes the copy, the value is in strategy. The pivot requires a mindset shift from “I need a job” to “I solve problems using AI”.⁴⁵

Table 4: Solopreneur Ideas for the AI Era (2025)

Business Model	AI Leverage	Target Market
AI Automation Agency	Use Zapier/Make to automate workflows.	Small businesses needing efficiency. 46
Content “Factory”	Use AI for scripting, editing, and SEO.	Niche media properties / Brands. 45
Vertical SaaS	Build micro-software tools using AI coding assistants.	Specific industry pain points. 47

Part VI: Future-Proofing the Next Generation – Teaching the Children

If the current generation of 25–35-year-olds is the “canary in the coal mine,” how do we prepare the children (currently 5–15) to survive the full maturity of the AI age? The educational imperative must shift from knowledge accumulation (which AI solves) to human resilience and agency.

6.1 The “Human Firewall” Curriculum

The skills required for 2035 are those that machines cannot easily replicate.

• Emotional Intelligence (EQ): As AI takes over logic and logistics, human connection becomes the premium value. Children must be taught to read emotions, negotiate complex social dynamics, and offer empathy—skills that AI simulates but does not possess.⁴⁸
• Critical Thinking & Truth Discernment: In an age of deepfakes and cognitive warfare, the ability to question sources, identify bias, and verify reality is a survival skill. Education must focus on “information hygiene”.⁵⁰
• Adaptability & “The Pivot”: The career ladder is dead; the “career web” replaces it. Children must be taught that reinvention is normal. The skill is learning how to learn, not memorizing a static trade.⁵²

6.2 Parenting in the Algorithmic Age

Parents must act as a buffer against the dopamine loop.

• Tech-Free Zones & Real Play: Unstructured, physical play is essential for developing the “default mode network” of the brain. Restricting access to algorithmic feeds until late adolescence protects the developing dopamine system.⁴⁹
• Demystifying AI: Do not ban AI; teach it. Show children that AI is a tool, not a friend. “Tech Talk” should involve dissecting how algorithms try to manipulate them, turning them from passive users into critical analysts.⁴⁹
• Resilience through Friction: AI removes friction (it writes the essay, solves the math). Parents must artificially re-introduce friction. Let children fail, struggle, and solve problems without digital assistance to build “grit.” The ability to endure boredom and frustration without reaching for a screen is a superpower in the attention economy.⁵³

Part VII: Conclusion

The phenomenon of young men retreating into parental homes, unemployment, and digital isolation is not merely a collection of lazy individual choices; it is a rational response to a structural breaking point in the modern social contract. The “Silent Depression” of affordability has made the traditional rewards of adulthood (homeownership, family) mathematically elusive, while the arrival of AI has begun to dismantle the entry-level ramp to economic mobility.

Simultaneously, the “Cognitive War” waged by algorithms offers a seductive, dopamine-rich alternative to the pain of real-world struggle. The “chaos” of this era is not fighting in the streets, but the quiet capitulation of millions of young men to screens in dark rooms, engaged in a synthetic simulacrum of life that offers achievement without progress and intimacy without risk.

However, the historical parallel of the 1930s offers a roadmap. That era of hardship birthed a generation of unparalleled resilience and innovation. The pivot for the current generation lies in rejecting the role of the “consumer” and embracing the role of the “creator.” By leveraging the very AI tools that threaten them, young men can build independent economic engines. For the next generation, the task is to raise humans who are so vividly human—resilient, empathetic, and critical—that they cannot be replaced, nor seduced, by the machine.

Statistical Appendix

Table 5: American Time Use Survey – Leisure Activities (2024)

Average hours per day for Men ages 25-34

Activity	Men 25-34	Comparison to Total Pop (15+)	Significance
Playing Games	0.54 hrs	Significantly Higher (0.37 hrs avg) 8	Indicates primary leisure outlet is interactive/virtual.
Computer Leisure	0.29 hrs	Higher (0.20 hrs avg) 8	Reflects “always online” status.
Reading	0.17 hrs	Lower (0.28 hrs avg) 8	Decline in deep-focus activities.
Watching TV	1.84 hrs	Lower (2.60 hrs avg)	Shift from passive TV to active Gaming.

Table 6: The AI Threat Matrix for Young Men

Threat Vector	Mechanism	Impact on Young Men
Labor	“Delegation Flip” (Automation of junior tasks)	Removal of “starter jobs” -> Extended NEET status.
Social	AI Companions / Deepfake Porn	Substitution of real intimacy -> Dating withdrawal.
Cognitive	Algorithmic Polarization / Doomscrolling	Increased anxiety/depression -> Social opt-out.

Works cited

1. Share of Young Adults Living With Their Parents Drops to Decade Low | NAHB, accessed January 15, 2026, https://www.nahb.org/blog/2024/01/young-adults-living-at-home
2. Here’s where young adults are most likely to be living with their parents | LiveNOW from FOX, accessed January 15, 2026, https://www.livenowfox.com/news/where-young-adults-live-with-parents-study
3. How Many Young and Older Adults Lived Alone? – U.S. Census Bureau, accessed January 15, 2026, https://www.census.gov/library/stories/2024/05/living-arrangements.html
4. A generation of lost men? The reality of NEET data – American Institute for Boys and Men, accessed January 15, 2026, https://aibm.org/research/a-generation-of-lost-men-the-reality-of-neet-data/
5. Trends in young people not in education, employment or training – Youth Futures Foundation, accessed January 15, 2026, https://youthfuturesfoundation.org/wp-content/uploads/2025/05/YF-NEETS-TRENDS-ANALYSIS-3pp-A4-Final.pdf
6. Why Are Some Prime-Age Men are Out of Work? – Bipartisan Policy Center, accessed January 15, 2026, https://bipartisanpolicy.org/article/why-some-prime-age-men-are-out-of-work/
7. Working-Age, but Not Working, 1960 to 2024 – Center for Immigration Studies, accessed January 15, 2026, https://cis.org/Report/WorkingAge-Not-Working-1960-2024
8. Average hours per day spent in selected leisure and sports activities by age – Bureau of Labor Statistics, accessed January 15, 2026, https://www.bls.gov/charts/american-time-use/activity-leisure.htm
9. 2024 Consumer Dining Trends: How Americans Are Spending on Restaurants and Takeout, accessed January 15, 2026, https://www.escoffier.edu/blog/world-food-drink/consumer-dining-trend-statistics/
10. Food Delivery Trends: 2025 Insights And Data – Toast POS, accessed January 15, 2026, https://pos.toasttab.com/blog/on-the-line/food-delivery-trends
11. Online Dating Statistics, Trends & Insights – Forbes Health, accessed January 15, 2026, https://www.forbes.com/health/dating/dating-statistics/
12. For Valentine’s Day, 5 facts about single Americans – Pew Research Center, accessed January 15, 2026, https://www.pewresearch.org/short-reads/2023/02/08/for-valentines-day-5-facts-about-single-americans/
13. A New Era of Dating: What the “Male Loneliness Epidemic” Discourse Signals About the Future of Heterosexual Romance – National Organization for Women, accessed January 15, 2026, https://now.org/blog/a-new-era-of-dating-what-the-male-loneliness-epidemic-discourse-signals-about-the-future-of-heterosexual-romance/
14. U.S. Depression Rate Remains Historically High – Gallup News, accessed January 15, 2026, https://news.gallup.com/poll/694199/u.s.-depression-rate-remains-historically-high.aspx
15. Men, Women and Social Connections | Pew Research Center, accessed January 15, 2026, https://www.pewresearch.org/social-trends/2025/01/16/men-women-and-social-connections/
16. Do Americans make less money now than during the Great Depression? That’s Pants on Fire! – PolitiFact, accessed January 15, 2026, https://www.politifact.com/factchecks/2023/sep/07/isabel-brown/are-americans-today-making-less-than-at-the-height/
17. [Request] I keep seeing this post about it being easier to buy a house during the Great Depression. Is this true? – Reddit, accessed January 15, 2026, https://www.reddit.com/r/theydidthemath/comments/uvcz6d/request_i_keep_seeing_this_post_about_it_being/
18. A Look Back at the Housing Market: From the 1920s to Today – Winter Homes, accessed January 15, 2026, https://www.builtbywinterhomes.com/news/a-look-back-at-the-housing-market/
19. Home Price to Income Ratio – Updated Chart | LongtermTrends, accessed January 15, 2026, https://www.longtermtrends.com/home-price-median-annual-income-ratio/
20. The Price of Progress: How Living Costs Have Outpaced Wages Over 100 Years, accessed January 15, 2026, https://captives.insure/insights/price-of-progress
21. The End of the Entry-Level? Anthropic’s New Economic Index Signals a Radical Redrawing of the Labor Map, accessed January 15, 2026, https://markets.financialcontent.com/stocks/article/tokenring-2026-1-15-the-end-of-the-entry-level-anthropics-new-economic-index-signals-a-radical-redrawing-of-the-labor-map
22. Is AI closing the door on entry-level job opportunities? – The World Economic Forum, accessed January 15, 2026, https://www.weforum.org/stories/2025/04/ai-jobs-international-workers-day/
23. I Analyzed 76,000 AI Job Losses in 2025 — Your Entry-Level Job is Disappearing Faster Than You Think | by Jari Mattlar | Medium, accessed January 15, 2026, https://medium.com/@mattlar.jari/i-analyzed-76-000-ai-job-losses-in-2025-your-entry-level-job-is-disappearing-faster-than-you-b801a71d50dd
24. accessed January 15, 2026, https://digitaleconomy.stanford.edu/app/uploads/2025/11/CanariesintheCoalMine_Nov25.pdf
25. HER Artificial Voice, His Real Aggression? Can AI Girlfriends Bring a New Wave of Women’s Objectification?, accessed January 15, 2026, https://www.hks.harvard.edu/centers/carr-ryan/our-work/carr-ryan-commentary/her-artificial-voice-his-real-aggression-can-ai
26. Virtual Valentines? Nearly 1 in 5 Adults Report Having Chatted with AI Romantic Partner, accessed January 15, 2026, https://www.prnewswire.com/news-releases/virtual-valentines-nearly-1-in-5-adults-report-having-chatted-with-ai-romantic-partner-302376017.html
27. COUNTERFEIT CONNECTIONS – The Rise of Romantic AI Companions and AI Sexualized Media Among the Rising Generation – BYU, accessed January 15, 2026, https://brightspotcdn.byu.edu/a6/a1/c3036cf14686accdae72a4861dd1/counterfeit-connections-report.pdf
28. Addictive potential of social media, explained – Stanford Medicine, accessed January 15, 2026, https://med.stanford.edu/news/insights/2021/10/addictive-potential-of-social-media-explained.html
29. Understanding Social Media Addiction: A Deep Dive – PMC – NIH, accessed January 15, 2026, https://pmc.ncbi.nlm.nih.gov/articles/PMC11594359/
30. Doomscrolling linked to poor physical and mental health, study finds – The Guardian, accessed January 15, 2026, https://www.theguardian.com/society/2022/sep/06/doomscrolling-linked-to-poor-physical-and-mental-health-study-finds
31. Doomscrolling: Breaking the Habit – University Hospitals, accessed January 15, 2026, https://www.uhhospitals.org/blog/articles/2024/07/doomscrolling-breaking-the-habit
32. Doomscrolling Again? Expert Explains Why We’re Wired for Worry – UC San Diego Today, accessed January 15, 2026, https://today.ucsd.edu/story/doomscrolling-again-expert-explains-why-were-wired-for-worry
33. Americans React to the Great Depression | Great Depression and World War II, 1929 to 1945 | U.S. History Primary Source Timeline | Classroom Materials at the Library of Congress, accessed January 15, 2026, https://www.loc.gov/classroom-materials/united-states-history-primary-source-timeline/great-depression-and-world-war-ii-1929-1945/americans-react-to-great-depression/
34. Historical Context: Post-World War I Labor Tensions, accessed January 15, 2026, https://www.gilderlehrman.org/history-resources/teaching-resource/historical-context-post-world-war-i-labor-tensions
35. Cognitive Warfare – NATO’s ACT, accessed January 15, 2026, https://www.act.nato.int/activities/cognitive-warfare/
36. Cognitive warfare – Wikipedia, accessed January 15, 2026, https://en.wikipedia.org/wiki/Cognitive_warfare
37. The Attention Economy and the Collapse of Cognitive Autonomy | The Denny Center for Democratic Capitalism | Georgetown Law, accessed January 15, 2026, https://www.law.georgetown.edu/denny-center/blog/the-attention-economy/
38. How Information Overload Is Hurting Men’s Mental Health — and How to Fix It – Medium, accessed January 15, 2026, https://medium.com/@liam.patterson/how-information-overload-is-hurting-mens-mental-health-and-how-to-fix-it-aac4b13807c4
39. Algorithms Shift Polarization. Why Does Policy Still Miss the Real Problem?, accessed January 15, 2026, https://www.techpolicy.press/algorithms-shift-polarization-why-does-policy-still-miss-the-real-problem/
40. Businesses That Grew During Challenging Times – Graziani Multimedia, accessed January 15, 2026, https://grazianimultimedia.com/businesses-that-grew-during-challenging-times/
41. Radio In The 1930s | History Detectives – PBS, accessed January 15, 2026, https://www.pbs.org/opb/historydetectives/feature/radio-in-the-1930s/
42. From UNEMPLOYED to Making $30K/mo Selling AI (CASE STUDY) – YouTube, accessed January 15, 2026, https://www.youtube.com/watch?v=afsAse1Xpl0
43. I Tried Selling AI and Made $20K/mo in 56 Days (CASE STUDY) – YouTube, accessed January 15, 2026, https://www.youtube.com/watch?v=M-xJWCG7mgs
44. my ai stack as a solopreneur running a one person agency : r/bestai2025 – Reddit, accessed January 15, 2026, https://www.reddit.com/r/bestai2025/comments/1phynl4/my_ai_stack_as_a_solopreneur_running_a_one_person/
45. 100 AI-Powered Business Ideas for Solo Entrepreneurs (Free) – Selldone, accessed January 15, 2026, https://selldone.com/blog/ai-solo-business-ideas-1487
46. 101+ Best Solopreneur Business Ideas for 2025 – Mr Polymath, accessed January 15, 2026, https://mrpolymath.com/solopreneur-business-ideas/
47. Best AI Tools for Solopreneurs in 2025 | by Time Money Code – Medium, accessed January 15, 2026, https://medium.com/@timemoneycode/best-ai-tools-for-solopreneurs-in-2025-5a8a6aa4ed0c
48. Guiding Teens Through AI-Driven Uncertainty | Psychology Today, accessed January 15, 2026, https://www.psychologytoday.com/us/blog/beyond-school-walls/202506/guiding-teens-through-ai-driven-uncertainty
49. The AI Parenting Dilemma: Raising Emotionally Intelligent Kids in an Artificial World, accessed January 15, 2026, https://www.drshimikang.com/post/the-ai-parenting-dilemma-raising-emotionally-intelligent-kids-in-an-artificial-world
50. In the age of AI, human skills are the new advantage – The World Economic Forum, accessed January 15, 2026, https://www.weforum.org/stories/2026/01/ai-and-human-skills/
51. Education in the AI Era: Key Skills in the AI World – AVer Global, accessed January 15, 2026, https://www.aver.com/AVerExpert/Key-Skills-in-the-AI-World
52. AI-Proof Skills: The Missing Link in K-12 Education – Human Intelligence Movement, accessed January 15, 2026, https://humanintelligencemovement.org/teaching-learning-strategies/ai-proof-skills-the-missing-link-in-k-12-education/
53. Future-proof parenting: 10 ways to prepare our children for the AI era | by Bence A. Tóth, accessed January 15, 2026, https://bence-a-toth.medium.com/future-proof-parenting-10-ways-to-prepare-our-children-for-the-ai-era-37b74acc10f2