State of the Labor Market 2025: Structural Transformations, Economic Theory, and Workforce Strategy

Part I: The Macroeconomic Context and Theoretical Foundations

The global labor market of 2025 presents a complex tableau of contradictions, characterized by a decoupling of traditional economic indicators and a profound structural transformation in how human capital is valued, deployed, and compensated. To understand the current “white-collar recession” coexisting with a “blue-collar boom,” one must first dissect the underlying economic theories that govern labor dynamics, moving beyond simple supply and demand curves to explore the frictions, information asymmetries, and institutional factors shaping the modern workforce.

1.1 The Divergence of Economic Reality

As of late 2025, the headline unemployment rate in the United States has stabilized between 4.4% and 4.5%, a figure that historically suggests a healthy, if slightly cooling, economy.¹ However, this aggregate statistic masks a deep bifurcation in the labor force. On one side, the “real economy”—comprising construction, healthcare, and skilled trades—is experiencing acute labor shortages and robust wage growth. On the other, the “knowledge economy”—tech, finance, and professional services—is grappling with stagnation, driven by the maturity of digital transformation cycles and the integration of generative artificial intelligence.³

This divergence challenges the traditional “Okun’s Law” relationship, which historically correlated declines in unemployment with predictable increases in GDP. In 2025, we observe a phenomenon where GDP growth is sustained by high-productivity sectors (often utilizing AI and automation) even as labor demand in those same sectors softens, decoupling output from headcount.⁵ Understanding this requires a granular analysis of labor market flows, wage determination mechanisms, and the sociological shifts influencing worker behavior.

1.2 Theoretical Frameworks: Beyond Supply and Demand

1.2.1 The Neoclassical Model and Its Limitations

Standard labor economics posits that the labor market functions like any other market: the supply of labor (workers) meets the demand for labor (employers) at an equilibrium wage rate.⁶ In this model, wages are determined by the Marginal Revenue Product (MRP)—the additional revenue generated by hiring one more worker.

MRP = Marginal Product (MP) \times Marginal Revenue (MR)

This theory explains why professional athletes earn significantly more than teachers, despite the social value of education. The marginal revenue generated by a star athlete—scalable through broadcast rights and merchandise—is immense, and the supply of individuals with such athletic capability is incredibly scarce. Conversely, while teachers provide high total value, their marginal financial contribution to a school district is constrained by tax bases, and the supply of qualified teachers is relatively high compared to elite athletes.⁷ This “diamond-water paradox”—where essential goods are cheap due to abundance and non-essential goods are expensive due to scarcity—remains a governing principle in 2025 wage structures.

However, the Neoclassical model fails to account for the “frictions” evident in 2025. If the market were perfectly competitive, unemployed workers would instantly find jobs at the market-clearing wage. The reality of 2025, where the average unemployed worker takes 10 weeks to find re-employment, suggests significant search costs and structural mismatches.⁹

1.2.2 Search and Matching Theory

A more robust framework for 2025 is Search and Matching Theory. This approach acknowledges that finding a job is costly and time-consuming. It views unemployment not as a surplus of labor, but as a “search activity.” In 2025, the efficiency of matching workers to jobs has paradoxically decreased despite the proliferation of digital platforms. The “Paradox of Choice” and the noise created by AI-generated applications have clogged the matching mechanism.

Frictional Unemployment: This is the time spent between jobs. In 2025, frictional unemployment has risen as workers reject unsuitable roles, holding out for remote options or higher pay, a behavior facilitated by the gig economy providing a “survival” income stream during the search.¹⁰
Structural Unemployment: This occurs when the skills of the workforce do not match the needs of employers. The rapid obsolescence of legacy coding skills and the simultaneous shortage of AI literacy create a structural gap, leaving a portion of the workforce unemployable at current wage rates despite open vacancies.¹⁰

1.2.3 The Bathtub Model of Unemployment dynamics

To visualize these flows, economists utilize the “Bathtub Model.” The unemployment rate (the water level) is determined by the rate of inflow (layoffs, new graduates entering) versus the rate of outflow (hiring).¹¹

In late 2025, the “water level” has risen to 4.5% not solely because the “faucet” (layoffs) is wide open, but because the “drain” (hiring velocity) has clogged. Data indicates that hiring rates have slowed significantly; companies are hoarding cash and deferring expansion, meaning that once a worker enters the “bathtub” of unemployment, they remain there longer.¹¹ The inflow has also increased due to 470,000 new entrants—likely recent graduates and immigrants—joining the labor force in late 2025, expanding the denominator of the unemployment calculation.1

1.2.4 Monopsony Power and Wage Stagnation

While supply and demand set a baseline, market power dictates the final variance. A “perfectly competitive” market assumes many buyers of labor. However, many local labor markets in 2025 function as monopsonies (or oligopsonies), where a few dominant employers (e.g., a large hospital system or a tech giant) have the power to set wages below the competitive equilibrium.¹³

In a monopsony, the employer faces an upward-sloping labor supply curve; to hire more workers, they must raise wages for all employees. To avoid this cost, they often choose to hire fewer workers, leading to lower employment and lower wages than a competitive market would produce. This explains why, despite high profits, some sectors see stagnant wage growth—employers are exercising monopsony power to retain surplus value.¹³

1.3 The Role of Institutions and “Job Structures”

Heterodox economists argue that the very concept of a “labor market” is a metaphor that obscures reality. Wages are often determined by “job structures”—complex sets of administrative rules, social norms, and internal equity considerations—rather than pure market forces.¹⁴

For example, union negotiations and collective bargaining agreements (CBAs) set rigid wage floors that detach pay from real-time supply and demand fluctuations. In the public sector and government contracting, wages are often set by “wage determinations”—regulatory rulings by the Department of Labor that establish prevailing rates for specific localities.¹⁵ These determinations create a rigid “job structure” that insulates these workers from the volatility seen in the private sector, explaining the stability of blue-collar government roles in 2025 compared to the volatility of non-unionized tech roles.

Part II: The Data Landscape of 2025 – Indicators and Anomalies

Navigating the 2025 labor market requires discerning signal from noise. The data landscape has become increasingly difficult to interpret due to government shutdowns, revision cycles, and the breakdown of traditional survey methodologies.

2.1 The Reliability Crisis in Labor Data

A significant challenge in late 2025 has been the reliability of federal data. A government shutdown delayed the release of critical employment situation summaries, forcing the Federal Reserve and private businesses to navigate “blind” for weeks.17 When data finally emerged, it came with significant revisions. For instance, initial reports of job growth in July and August 2025 were revised downward by tens of thousands, revealing that the labor market had cooled much earlier than policymakers realized.¹⁸

This “fog of war” means that real-time data from private entities—such as LinkedIn hiring rates, Indeed job postings, and ADP payroll processing—has become as valuable as Bureau of Labor Statistics (BLS) reports. These “nontraditional” sources reveal a sharper contraction in white-collar hiring than official unemployment figures suggest.¹⁹

2.2 Unemployment and Labor Force Participation

The unemployment rate’s climb to 4.4% – 4.5% represents a normalization from the historic lows of 2022-2023.¹ However, the composition of this unemployment is shifting.

Long-term Unemployment: The share of the unemployed who have been out of work for 27 weeks or longer is rising, a classic sign of structural mismatch.²¹
Labor Force Participation: Participation rates have remained relatively flat at 62.4%.²¹ The expected “Great Return” of retirees due to inflation did not materialize to the extent predicted, as the cost of childcare and eldercare continues to keep significant portions of the population (particularly women) out of the full-time workforce.

Table 1: Unemployment and Inflation Projections (Federal Reserve & Market Consensus)

Indicator	Late 2025 (Actual/Est)	2026 Projection
Unemployment Rate	4.4% – 4.5%	4.4% (Stabilizing)
PCE Inflation	2.7% – 3.0%	2.6%
Real GDP Growth	1.6% – 1.8%	1.4% (Slowing)
Federal Funds Rate	3.75% – 4.00%	Gradual Easing

Source: Federal Reserve Projections and Trading Economics Data ²

2.3 The Inflation-Wage Dynamic

The relationship between wages and inflation is the primary determinant of household sentiment. For much of 2022-2024, inflation outpaced wage growth, leading to a decline in real wages. In 2025, this trend has inverted, but only slightly.

Nominal wage growth in late 2025 stands at approximately 4.2% year-over-year, while inflation has cooled to roughly 2.7%.²⁴ This results in a positive real wage growth of roughly 1.5%. While mathematically positive, this is often imperceptible to workers who are still psychologically anchoring prices to 2019 levels.

The recovery in purchasing power is highly stratified.

High-Wage Earners: Sectors like engineering, law, and specialized healthcare are seeing wage growth of 5-6%, significantly outpacing inflation.²⁵
Low-Wage Earners: While nominal wages rose fast in 2022, they have plateaued. With the cost of rent and food remaining elevated, the “real” experience for this cohort is one of continued stagnation.
Fixed Income: Social Security recipients are set to receive a COLA of roughly 2.5% – 2.8% in 2025, a sharp decline from the 8.7% adjustment of previous years.²⁶ While this reflects lower inflation, it fails to account for the specific basket of goods (healthcare, housing) that consumes the majority of senior incomes.

Part III: The White-Collar Recession and the AI Shock

The most defining characteristic of the 2025 labor market is the “White-Collar Recession.” Unlike 2008, which devastated housing and construction, or 2020, which froze hospitality, the 2025 downturn is concentrated in the cubicles and home offices of the knowledge economy.

3.1 The “Hollow Middle” and Entry-Level Crisis

Artificial Intelligence is reshaping the demand curve for knowledge work. The “Canary in the Coal Mine” is the entry-level job market. Research from the Stanford Digital Economy Lab indicates a significant decline in hiring for AI-exposed entry-level jobs (e.g., junior coding, copywriting, data analysis).⁵

Employers are increasingly utilizing generative AI to handle the “first draft” of work that used to be the training ground for junior employees. This has created a “hollow middle” effect:

Junior Roles: Displaced by AI or offshored.
Senior Roles: Highly valued for judgment, strategy, and complex problem-solving.
The Bridge: The pathway from Junior to Senior is broken. Without entry-level roles to train in, the pipeline for future senior talent is being severed, creating a long-term structural risk for corporations.

3.2 Corporate Efficiency and “Fake” Jobs

The tech sector has moved from a philosophy of “growth at all costs” to “efficiency at all costs.” Companies are utilizing the current economic uncertainty as air cover to trim bloat. This includes the elimination of middle-management layers and a reduction in “strategic” roles that do not have immediate ROI.

A symptom of this environment is the proliferation of “Ghost Jobs.” Data suggests that a significant percentage of job postings on major boards are not active. Companies leave these postings up to:

Give the illusion of growth to investors.
Collect a reservoir of resumes for potential future needs.
Pacify overworked internal teams by making it look like help is on the way.
This practice creates a frustrating feedback loop where the number of posted vacancies (7.4 million) does not align with the actual hiring velocity, leading to applicant burnout.²⁹

3.3 The Rise of AI-Augmented Roles

Despite the displacement, AI is a massive engine for new job creation. The demand is shifting toward roles that can orchestrate AI.

AI Literacy as a Baseline: It is no longer enough to be a “writer”; one must be a “content strategist using LLMs.” It is not enough to be a “programmer”; one must be a “systems architect leveraging Copilot.”
New Categories: We are seeing the formalization of roles such as “AI Ethics Compliance Officer,” “Data Curator for LLM Training,” and “Human-in-the-Loop Quality Assurance.”
Productivity Gains: PWC’s Global AI Jobs Barometer suggests that AI is making highly skilled workers more valuable, not less, by removing administrative drudgery and allowing them to focus on high-value cognitive tasks.³⁰

Part IV: The Blue-Collar Renaissance and Skilled Trades

While white-collar workers face uncertainty, the “physical world” economy is booming. This trend, often termed the “Blue-Collar Renaissance,” is driven by three macro-trends: demographics, infrastructure spending, and the re-shoring of manufacturing.

4.1 The Supply Crisis in Trades

For decades, the U.S. education system prioritized university degrees over vocational training, leading to a massive shortage of skilled tradespeople. As Baby Boomers (who made up a disproportionate share of electricians, plumbers, and welders) retire, there is no one to replace them.

This scarcity has driven wages up. In many markets, a master electrician or elevator installer now earns significantly more than the average marketing manager or liberal arts graduate.³¹ The “Marginal Revenue Product” of a tradesperson has skyrocketed because their labor is the bottleneck for completing multi-million dollar construction projects.

4.2 The Cultural Shift: Gen Z and the Toolbelt

A sociological shift is underway. Disillusioned by student debt and the instability of the corporate ladder, Gen Z is increasingly gravitating toward trades. Vocational enrollment rose 4.6% between 2019 and 2024, while university enrollment fell.³²

This generation views trade work as “robot-proof.” While AI can write code, it cannot yet fix a burst pipe or install a wind turbine. This perception of stability is a primary driver for the 62% of white-collar workers who report they would consider switching to manual trades for better job security.³³

Table 2: Comparative Outlook – White Collar vs. Blue Collar

Feature	White Collar / Knowledge Work	Blue Collar / Skilled Trades
Job Security	Low (High layoff risk, AI threat)	High (Labor shortage, Essential nature)
Wage Trend	Stagnating (except for AI specialists)	Accelerating (Supply/Demand imbalance)
Entry Barrier	High (Degrees + Experience paradox)	Moderate (Apprenticeships, paid training)
AI Exposure	High (Generative AI automates tasks)	Low (Robotics not yet viable for varied tasks)
Sentiment	“Burnout,” “Uncertainty”	“Stable,” “Physically Demanding”

Source: Synthesis of ⁴

4.3 Career Pivots: The Adult Apprentice

The path from the cubicle to the job site is becoming paved with new programs. “Adult Apprenticeships” are emerging to facilitate mid-career switches for people in their 30s and 40s. These programs differ from traditional youth apprenticeships by offering accelerated learning paths and higher starting wages that acknowledge the candidate’s prior life experience and soft skills.³⁴

Key transition sectors include:

Green Energy: Wind turbine technicians and solar installers.
Advanced Manufacturing: CNC machining and mechatronics.
Logistics: Supply chain coordination and specialized transportation.

Part V: The Structural Shift – Gig Economy and Poly-employment

The traditional model of “one employee, one employer” is eroding. In 2025, the workforce is increasingly fluid, characterized by the gig economy and the rise of “poly-employment” (holding multiple jobs simultaneously).

5.1 The Scale of the Gig Economy

The gig economy has expanded to include approximately 70 million Americans, or 36% of the workforce.36 This is no longer just a “side hustle” for extra cash; for a growing plurality, it is a primary career choice.

The demographic skew is telling: Millennials make up 48% of gig workers, while Gen Z comprises 30%. This suggests that gig work is not a temporary phase for the young, but a permanent structural feature of the modern career arc.³⁶

5.2 The Rise of High-End Freelancing

A significant development in 2025 is the stratification of the gig market. While delivery and ride-share work persist, the fastest growth is in “knowledge freelancing.”

Fractional Executives: Companies are hiring “Fractional CMOs” or “Fractional CFOs” to reduce fixed costs.
Global Arbitrage: Platforms allow US companies to hire elite freelance talent from Latin America or Eastern Europe, arbitrating wages across borders. This puts downward pressure on domestic freelance rates for generic tasks, but high-end specialized talent (e.g., AI implementation) remains at a premium.³⁷
AI Leverage: Successful freelancers in 2025 are those who use AI to become “agencies of one.” By automating scheduling, basic research, and drafting, a single freelancer can handle a workload that previously required a small team.³⁸

5.3 The Challenges: Volatility and Infrastructure

The gig economy remains a high-risk environment. “Feast or famine” cycles are the top complaint, with 66% of gig workers citing job volume instability as their primary stressor.³⁶

Furthermore, the administrative burden is heavy. Managing complex tax filings, self-funding health insurance, and planning for retirement without employer matching contributions creates a “fragility” in this sector. Policy discussions in 2025 are increasingly focusing on “portable benefits”—social safety nets that are tied to the worker rather than the employer—though federal implementation remains lagging.

Part VI: The Spatial Dimension – Remote, Hybrid, and Return-to-Office

The geography of work remains the most contentious issue in labor relations. The “Return-to-Office” (RTO) wars have settled into an uneasy stalemate, characterized by mandates, resistance, and compliance theater.

6.1 The Mandate vs. Preference Gap

The disconnect between leadership and the workforce is stark. While 98% of workers desire some flexibility, and 65% of younger workers indicate they would quit if forced back full-time, corporate mandates have hardened.³⁹

The 5-Day Push: By late 2025, over half of Fortune 100 companies have reinstated 5-day in-office requirements.⁴⁰ Major players like Amazon, Dell, and various financial institutions have tied promotions and salary increases to attendance.
The Rationale: Executives cite “culture,” “innovation,” and “collaboration” as the drivers. However, underlying these is often “productivity paranoia”—the fear that unseen workers are not working—and the need to justify expensive commercial real estate leases.³⁹

6.2 Hybrid as the Dominant Model

Despite the headlines about 5-day mandates, the de facto reality for most professional services firms is Hybrid. Data shows that hybrid job postings have grown to 24% of all listings, while fully remote roles have stabilized at around 12%.⁴¹

The standard model has coalesced around “Structured Hybrid,” typically requiring presence on Tuesday, Wednesday, and Thursday. This attempts to balance the need for collaboration with the demand for flexibility.

Table 3: Work Arrangement Distribution (Late 2025)

Arrangement	Share of Job Postings/Workforce	Trend Outlook
Fully On-Site	~64%	Stable (Driven by frontline/trades)
Hybrid	~24%	Growing (The professional compromise)
Fully Remote	~12%	Niche (Highly competitive, Tech-focused)

Source: Robert Half and TalentNeuron Data ⁴¹

6.3 Sociological Impacts: Gender and “Coffee Badging”

The RTO mandates have unintended sociological consequences.

Gender Equity: Remote work has historically allowed for higher female workforce participation by offering the flexibility needed to manage caregiving duties. Strict RTO mandates threaten to reverse these gains, potentially pushing women out of the full-time workforce or into lower-paying flexible roles.⁴²
Compliance Theater: Employees have adapted with “Coffee Badging”—the practice of swiping a badge to enter the office, grabbing a coffee, staying for a few hours to appear visible, and then returning home to do “deep work.” This creates a data illusion where office occupancy looks high, but actual collaboration may remain low.⁴³

Part VII: Strategic Navigation – The Hidden Job Market

For job seekers, the most critical insight of 2025 is that the “public” job market—the one visible on Indeed and LinkedIn—is largely broken. It is flooded with AI-generated spam applications, ghost jobs, and intense competition. Success requires accessing the “Hidden Job Market.”

7.1 The Mechanics of the Hidden Market

Approximately 70% of job openings are never publicly advertised.⁴⁴ These roles are filled through:

Internal Mobility: Companies prioritizing retaining current staff by moving them laterally.
Employee Referrals: The “Gold Standard” of hiring. Referrals make up only 2% of applicants but account for 11% of hires.²⁹
Recruiter Networks: Headhunters filling roles quietly to avoid alerting competitors or tipping off internal staff about replacements.⁴⁵

7.2 Networking Methodology: The Informational Interview

To access this market, candidates must pivot from “applying” to “networking.” The most effective tool is the Informational Interview. This is not a job request; it is a research meeting.

The Approach: The outreach must be low-pressure.

Bad: “I am looking for a job, can you help?”
Good: “I am researching the impact of AI on [Industry] and noticed your work at [Company]. I would value your perspective on how the market is shifting. I am not asking for a job, just 15 minutes of insight.”.⁴⁶
The Execution: In the meeting, the candidate demonstrates competence through the quality of their questions, not by pitching their resume. This builds “know, like, and trust.” When a role eventually opens, this candidate is often tapped before the job is posted.

7.3 Optimizing for the “AI Wall” (ATS)

When applying publicly is necessary, the Resume must be optimized for the Algorithm.

Simplicity is Key: Complex columns, graphics, and non-standard fonts confuse parsing software (OCR). Standard fonts like Calibri or Cambria in a single-column format are best.⁴⁷
Semantic Matching: It is not enough to list keywords; they must be contextualized. Instead of listing “Python” in a skills section, a bullet point should read: “Leveraged Python to automate data analysis, reducing reporting time by 20%.”
The White Text Hack (Debunked): A common “trick” involves hiding keywords in white text. In 2025, modern ATS systems flag this as manipulation and may auto-reject the candidate. Authenticity in keyword integration is required.⁴⁸

Part VIII: Workforce Strategy – Skills-Based Hiring

The final structural shift is the move toward “Skills-Based Hiring.” The degree is losing its currency as a proxy for competence.

8.1 The Decline of the Degree

In 2025, 45% of companies have dropped degree requirements for key roles.⁴⁹ This is partly a response to the talent shortage, but also a recognition that university curricula often lag behind the speed of technological change. A Computer Science degree from 2020 may not cover the Generative AI tech stack used in 2025.

8.2 Assessments Over Resumes

Companies are replacing the resume screen with “Work Sample Tests” and skills assessments. Platforms like TestGorilla or internal coding challenges allow candidates to prove ability rather than state it. This creates a more meritocratic funnel, benefiting self-taught developers, career switchers, and those from non-traditional backgrounds.⁵⁰

8.3 The T-Shaped Professional

The ideal worker in 2025 is “T-Shaped”:

Horizontal Bar: Broad soft skills (Adaptability, Communication, Emotional Intelligence). These are the “human” skills that allow one to work with AI and across teams.⁵¹
Vertical Bar: Deep technical expertise in a specific niche (e.g., “Supply Chain Logistics for Pharma” or “Prompt Engineering for Legal Tech”).
Developing this profile requires a commitment to “Life-Long Learning.” The half-life of a learned professional skill is now only 5 years. Continuous upskilling—via micro-credentials, bootcamps, and on-the-job training—is no longer optional; it is a survival requirement.⁵¹

Part IX: Conclusion

The labor market of 2025 is not “good” or “bad”; it is transforming. We are witnessing the end of the post-WWII employment contract—characterized by stability, loyalty, and linear progression—and the birth of a new, more volatile, yet potentially more flexible model.

For the individual, the path forward lies in resilience and adaptation. The reliance on a single employer for long-term security is a risky strategy. Building a diversified portfolio of skills, cultivating a robust network to access the hidden market, and maintaining a “free agent” mindset—even when employed full-time—are the safeguards against the turbulence of the AI transition.

For organizations, the challenge is to balance efficiency with engagement. While AI offers massive productivity gains, the “hollow middle” creates a succession planning crisis. Employers who invest in training entry-level talent and adopt skills-based hiring to tap into non-traditional pools (like the adult apprentice or the neurodiverse candidate) will build the most resilient workforce.

For policymakers, the data clearly indicates a need to modernize the social safety net. As gig work becomes structural and career transitions become more frequent, benefits must become portable, and educational funding must shift from front-loaded university degrees to life-long vocational retraining.

The “Bathtub” of unemployment may be draining slowly, and the “White-Collar Recession” may be painful, but the “Blue-Collar Boom” and the “AI Renaissance” offer clear avenues for growth. The economy of 2025 rewards those who can bridge the gap between the digital and the physical, the technical and the human.

Works cited

U.S. employers added surprisingly solid 119,000 jobs in September, government says in delayed report, accessed November 20, 2025, https://apnews.com/article/jobs-unemployment-economy-trump-tariff-bf603d63e13d6dc1083e9a6616c7ffee
The Fed – September 17, 2025: FOMC Projections materials, accessible version, accessed November 20, 2025, https://www.federalreserve.gov/monetarypolicy/fomcprojtabl20250917.htm
What the labor market isn’t telling you—yet – McKinsey, accessed November 20, 2025, https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/what-the-labor-market-isnt-telling-you-yet
When will people finally realize the US white collar job market is never going to recover?, accessed November 20, 2025, https://www.reddit.com/r/Salary/comments/1oii674/when_will_people_finally_realize_the_us_white/
AI and Labor Markets: What We Know and Don’t Know — Stanford …, accessed November 20, 2025, https://digitaleconomy.stanford.edu/news/ai-and-labor-markets-what-we-know-and-dont-know/
Unraveling the Labor Market: Key Theories and Influences – Investopedia, accessed November 20, 2025, https://www.investopedia.com/terms/l/labor-market.asp
Why Do Basketball Players Make More Than Teachers? | The Daily Economy, accessed November 20, 2025, https://thedailyeconomy.org/article/why-do-basketball-players-make-more-than-teachers/
CMV: Professional athletes deserve to be paid more than teachers – Reddit, accessed November 20, 2025, https://www.reddit.com/r/changemyview/comments/123yhyk/cmv_professional_athletes_deserve_to_be_paid_more/
In a Stagnating Job Market, Job Seekers Are Struggling To Find Opportunities, accessed November 20, 2025, https://www.americanprogress.org/article/in-a-stagnating-job-market-job-seekers-are-struggling-to-find-opportunities/
Labor Economics | Research Starters – EBSCO, accessed November 20, 2025, https://www.ebsco.com/research-starters/economics/labor-economics
The Bathtub Model of Unemployment: The Importance of Labor Market Flow Dynamics, accessed November 20, 2025, https://libertystreeteconomics.newyorkfed.org/2012/03/the-bathtub-model-of-unemployment-the-importance-of-labor-market-flow-dynamics/
Why US ‘no-Hire, no-fire’ labour market trend may be ending in 2025, accessed November 20, 2025, https://www.financialexpress.com/business/investing-abroad-why-us-no-hire-no-fire-labour-market-trend-may-be-ending-in-2025-4051117/
How Wages Are Determined in Labor Markets | EconEdLink, accessed November 20, 2025, https://www.econedlink.org/wp-content/uploads/legacy/1368_APS%20Micro%20Solutions%20Competition%20vs%20Monopsony%20in%20Labor%20Markets.pdf
Dangerous Metaphor: The Fiction of the Labor Market, accessed November 20, 2025, https://www.levyinstitute.org/publications/dangerous-metaphor-the-fiction-of-the-labor-market/
Understanding a Wage Determination – U.S. Department of Labor, accessed November 20, 2025, https://www.dol.gov/sites/dolgov/files/WHD/Understanding-a-Wage-Determination.pdf
Wage Determinations | SAM.gov, accessed November 20, 2025, https://sam.gov/wage-determinations
Operating with Limited Data | Tom Barkin | Inflation | Employment, accessed November 20, 2025, https://www.richmondfed.org/press_room/speeches/thomas_i_barkin/2025/barkin_speech_20251118
US added 119,000 jobs in September in report delayed by federal shutdown, accessed November 20, 2025, https://www.theguardian.com/business/2025/nov/20/us-jobs-report-september-shutdown
What we’re reading about real time labor market data – World Bank Blogs, accessed November 20, 2025, https://blogs.worldbank.org/en/jobs/what-were-reading-about-real-time-labor-market-data
United States Economic Forecast Q3 2025 – Deloitte, accessed November 20, 2025, https://www.deloitte.com/us/en/insights/topics/economy/us-economic-forecast/united-states-outlook-analysis.html
The Employment Situation – September 2025 – Bureau of Labor Statistics, accessed November 20, 2025, https://www.bls.gov/news.release/pdf/empsit.pdf
United States Unemployment Rate – Trading Economics, accessed November 20, 2025, https://tradingeconomics.com/united-states/unemployment-rate
Federal Reserve issues FOMC statement, accessed November 20, 2025, https://www.federalreserve.gov/newsevents/pressreleases/monetary20251029a.htm
Are wages keeping up with inflation? – USAFacts, accessed November 20, 2025, https://usafacts.org/answers/are-wages-keeping-up-with-inflation/country/united-states/
July 2025 US Labor Market Update: Wage Growth Is Outpacing Inflation, but Not for Everyone – Indeed Hiring Lab, accessed November 20, 2025, https://www.hiringlab.org/2025/07/24/july-labor-market-update-wage-growth-outpacing-inflation/
Cost-Of-Living Adjustment (COLA) – Social Security, accessed November 20, 2025, https://www.ssa.gov/oact/cola/colasummary.html
Social Security cost-of-living adjustment will be 2.5% in 2025, less than prior year, accessed November 20, 2025, https://www.foxbusiness.com/personal-finance/social-security-cost-of-living-adjustment-2025
Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence – Digital Economy Lab – Stanford University, accessed November 20, 2025, https://digitaleconomy.stanford.edu/wp-content/uploads/2025/08/Canaries_BrynjolfssonChandarChen.pdf
The 2025 Job Market Is Brutal, Here’s What the Research Actually …, accessed November 20, 2025, https://www.reddit.com/r/careeradvice/comments/1mts8me/the_2025_job_market_is_brutal_heres_what_the/
AI Jobs Barometer – PwC, accessed November 20, 2025, https://www.pwc.com/gx/en/services/ai/ai-jobs-barometer.html
Top 5 Skilled Trades Careers for 2025 – Penn Foster, accessed November 20, 2025, https://www.pennfoster.edu/blog/top-skilled-trades-careers
Gen Z prefers blue-collar jobs. Or does it? – ADP Research, accessed November 20, 2025, https://www.adpresearch.com/gen-z-prefers-blue-collar-jobs-or-does-it/
White-Collar Workers Want to Switch to the Trades: Report – Newsweek, accessed November 20, 2025, https://www.newsweek.com/white-collar-workers-want-to-switch-to-the-trades-report-10834526
Become an Apprentice – L&I – | WA.gov, accessed November 20, 2025, https://www.lni.wa.gov/licensing-permits/apprenticeship/become-an-apprentice
Getting Into The Trades in Your 30s – Unmudl, accessed November 20, 2025, https://unmudl.com/blog/getting-into-the-trades-in-your-30s
2025 Gig Economy Trends for Freelancers and Self-Employed Workers – Carry, accessed November 20, 2025, https://carry.com/learn/gig-economy-trends-for-freelancers-and-self-employed-workers
AI Trends Shaping Remote Work in 2025, accessed November 20, 2025, https://www.remotelytalents.com/blog/ai-trends-shaping-remote-work
The State of the Gig Economy in 2025: A Comprehensive Research Report: The Gig Economy Reaches Critical Mass – 70 Million Americans Now Freelancing – The Interview Guys, accessed November 20, 2025, https://blog.theinterviewguys.com/the-state-of-the-gig-economy-in-2025/
Remote Work Statistics 2025: The Data Behind Hybrid Success | Chanty, accessed November 20, 2025, https://www.chanty.com/blog/remote-work-statistics/
Return-To-Office Trend Accelerates As Employers Tighten Rules – CRE Daily, accessed November 20, 2025, https://www.credaily.com/briefs/return-to-office-trend-accelerates-as-employers-tighten-rules/
Remote Work Statistics and Trends for 2025 – Robert Half, accessed November 20, 2025, https://www.roberthalf.com/us/en/insights/research/remote-work-statistics-and-trends
The return-to-office paradox, and other trends in jobs and skills this month, accessed November 20, 2025, https://www.weforum.org/stories/2025/08/return-to-office-flexibility-remote-work/
When the office went dark, so did the employees: Here’s the silent unraveling of America’s hybrid work culture, accessed November 20, 2025, https://timesofindia.indiatimes.com/education/careers/news/when-the-office-went-dark-so-did-the-employees-heres-the-silent-unraveling-of-americas-hybrid-work-culture/articleshow/125375146.cms
The Hidden Job Market: How 70% of Positions Are Filled Before They’re Ever Posted, accessed November 20, 2025, https://blog.theinterviewguys.com/the-hidden-job-market/
The Hidden Job Market: How to Find Jobs That Aren’t Posted | Professional Alternatives, accessed November 20, 2025, https://www.proalt.com/hidden-job-market-find-jobs-not-posted/
A Simple Email Template for Landing Informational Interviews – Mac’s List, accessed November 20, 2025, https://www.macslist.org/networking/5-step-checklist-scheduling-informational-interviews
Create An ATS-FRIENDLY Resume For Today’s 2025 Job Market – YouTube, accessed November 20, 2025, https://www.youtube.com/watch?v=SGd2GpNOhpA
What advice ACTUALLY lands someone a job in 2025? : r/careerguidance – Reddit, accessed November 20, 2025, https://www.reddit.com/r/careerguidance/comments/1nsl4ei/what_advice_actually_lands_someone_a_job_in_2025/
The Rise of Skills Based Hiring in 2025 | The Future of Recruitment – SNI Companies, accessed November 20, 2025, https://www.snicompanies.com/2025/03/19/skills-based-hiring-2025/
Skills-based hiring even works for roles that don’t exist yet | World Economic Forum, accessed November 20, 2025, https://www.weforum.org/stories/2025/03/skills-based-hiring-jobs-future/
The 25+ Most In-Demand Skills in 2025 & Beyond • Toggl Hire, accessed November 20, 2025, https://toggl.com/blog/most-in-demand-skills