Wednesday, September 17, 2025

AI Photo Manipulation and the Social Construction of Reality

Photo with JK made with Gemini

     One of today’s most prominent trends is photo manipulation using Artificial Intelligence (AI) platforms. These technologies can alter image angles, reshape features, change colors, or even adjust the expression of a person in a photograph. The results are often astonishing, making it possible for individuals to create portraits, avatars, and professional-quality images with minimal cost.

    Platforms like Gemini highlight this transformation. Users can simply enter a description, and the AI generates a precise and tailored result. Whatever words are placed into the system become visualized in an instant. For many, this has opened opportunities that once required professional photography, studios, or expensive editing software.

With some drop of KPOP :)

With some famous pop artist

    I have experienced this myself. Because my budget goes toward daily necessities, I cannot afford professional photoshoots. Yet AI allows me to capture meaningful images that reflect milestones and memories. One Filipino netizen shared that they recreated lost family portraits through AI after floods destroyed their photo albums. In a country prone to natural disasters, such as typhoons and heavy rains, preserving physical documents is a real challenge. Here, AI provides not only convenience but also a way of restoring identity and memory.

I have created a photo of my late Papa

    Still, this trend carries deeper implications. As with any technology, AI can be misused. The manipulation of images and symbols can distort reality, making it harder for society to distinguish truth from fabrication. As Berger and Luckmann (1966) argue in The Social Construction of Reality, what people accept as “real” is often shaped through shared symbols, language, and social practices. If these shared symbols are manipulated through AI, the very foundation of our social reality can be undermined.

    This becomes even more concerning in the political arena. In the Philippines, disinformation campaigns are increasingly fueled by AI-generated content. Deep fakes and fabricated images spread rapidly across social media, inflaming rivalries and eroding trust in institutions (Beltran, 2025). As Jean Baudrillard (1994) warned in his concept of hyperreality, we may begin to live in a world where representations and simulations replace reality itself, making it impossible to tell truth from fiction. Erving Goffman’s (1959) theory of the presentation of self also applies here. Just as individuals curate their public identities in social interactions, AI photo manipulation allows people to construct digital versions of themselves that may not reflect their authentic reality. While this can be empowering, it also raises questions about authenticity, identity, and trust.

    Moreover, researchers note that AI-generated images can reinforce stereotypes. Studies show that text-to-image platforms often replicate biases about gender, race, and culture at scale (Bianchi et al., 2022). Without critical awareness, users risk adopting these distorted images as “normal,” further entrenching social inequalities.

    Ultimately, AI’s purpose should not be to replace reality but to enhance humanity. By combining technological innovation with ethical reflection, society can harness AI’s potential while safeguarding the truth that binds communities together.

    Despite these risks, AI is not inherently destructive. If guided by ethical use, it can restore lost memories, democratize creative expression, and expand access to visual representation. The challenge lies in ensuring AI contributes to truth and dignity rather than undermining them. As Proverbs 12:22 reminds us, “The Lord detests lying lips, but he delights in people who are trustworthy.” Our task is to cultivate wisdom, responsibility, and discernment in engaging with these technologies.




REFERENCES:

Baudrillard, J. (1994). Simulacra and simulation. University of Michigan Press.

Beltran, S. (2025, July 19). Disinformation and AI-generated content drive growing partisan divide, Philippines. South China Morning Post. https://www.scmp.com/week-asia/politics/article/3318818/disinformation-and-ai-generated-content-drive-growing-partisan-divide-philippines

Berger, P. L., & Luckmann, T. (1966). The social construction of reality: A treatise in the sociology of knowledge. Anchor Books.

Bianchi, F., Kalluri, P., Durmus, E., Ladhak, F., Cheng, M., Nozza, D., … Caliskan, A. (2022). Easily accessible text-to-image generation amplifies demographic stereotypes at large scale. arXiv preprint arXiv:2211.03759. https://arxiv.org/abs/2211.03759

Goffman, E. (1959). The presentation of self in everyday life. Anchor Books.

Ma’arif, A. (2025). Social, legal, and ethical implications of AI-generated content. Journal of Responsible Technology, 15, 100–114. https://www.sciencedirect.com/science/article/pii/S2590291125006102


Monday, September 1, 2025

Analysis of BPO Wages in the Philippines Through Zenou's Lenses

 This is the part two of AI series and application of the Book, Yves Zenou's Urban Labor Economics.  Now, for this time I have used and applies some of the suggested theories for BPO Industry.

Analysis of BPO Wages in the Philippines Through Zenou's Lenses

The Philippine BPO industry, a cornerstone of the national economy employing over 1.3 million people, presents a unique case study for applying urban labor economic theories.

1. Search and Matching Theory & Spatial Mismatch:

While BPO hubs are concentrated in Metro Manila, Metro Cebu, and Clark, many workers reside in more affordable outlying areas. The spatial mismatch occurs not between a city center and suburbs, but between residential areas and these specific BPO hubs. Long and arduous commutes during odd hours (due to night shifts serving Western clients) significantly increase search and matching frictions. A worker from Laguna or Bulacan applying for a job in Makati faces high temporal and monetary costs for interviews and assessments. This can suppress their reservation wage, making them more likely to accept a lower initial offer. A study by the IBON Foundation highlights that despite the industry's growth, congestion and infrastructure deficits exacerbate these commuting challenges, effectively reducing the net wage a worker receives.

2. Efficiency Wage Theory:

The BPO industry is characterized by high attrition rates, often cited between 30-50%. To reduce turnover and shirking, especially for high-value accounts, firms pay efficiency wages. This explains the wage premium for BPO jobs compared to other local entry-level positions. Firms invest heavily in training; losing an employee represents a significant loss. Therefore, paying above the market-clearing wage to ensure stability and motivation is a rational strategy. However, this is applied selectively. A Philippine Institute for Development Studies (PIDS) discussion paper notes that wages vary significantly based on skill level, account complexity, and location. A non-voice chat agent might receive a basic wage, while a specialized financial analyst or IT support expert commands a much higher efficiency wage to prevent them from being poached by competitors.

3. Urban Economics and Bid-Rent:

The concentration of BPOs in key business districts (e.g., BGC, Ortigas, Ayala) drives up the cost of living and land rent in those immediate vicinities. Following the monocentric city model, workers face a trade-off: pay exorbitant rent to live near the office and avoid commute costs, or live farther away and sacrifice time and income on transportation. Many BPO workers choose the latter, effectively reducing their real wage. This dynamic is less about unemployment and more about the geographic erosion of disposable income. The high cost of proximity forces a large portion of the workforce into lengthy commutes, which is a non-monetary cost that suppresses their overall welfare and effective wage rate.

Conclusion:

The interplay of these theories reveals that the stated "salary" of a BPO worker is not their effective wage. Spatial frictions (commute costs, information asymmetry) can lower their net income and initial bargaining power. Firms use efficiency wages to retain critical talent, but this creates a stratified internal market. Finally, the urban rent gradient concentrated around BPO hubs forces a difficult trade-off between housing and commuting costs, both of which diminish the real value of their earnings. Therefore, a comprehensive analysis of BPO wages must look beyond the nominal paycheck and incorporate these spatial and economic frictions.

References & Related Literature:

IBON Foundation: Their research often touches on labor conditions in the Philippines.

Relevant Article: "The BPO Industry: Development and Challenges" (This discusses working conditions, including commute-related issues).

Philippine Institute for Development Studies (PIDS): A government-run think tank that publishes peer-reviewed research.

Relevant Paper: Ofreneo, R. E. (2015). Precarious Philippines: Expanding Informal Sector, "Flexibilizing" Labor Market. PIDS Discussion Paper Series. This provides context on the broader labor market, including the BPO sector's role and wage structures.

Another PIDS Study: Look for their publications on "employment" and "services sector," which often analyze BPO data.

Journal of Asian Economics:

Relevant Literature: Dossantos, M. (2018). The Philippines as a Global BPO Hub: A Review of the Industry's Challenges and Potential. Journal of Asian Economics, 55, 84-96. (or similar titles). Academic journals like this publish studies on the economic impact and labor dynamics of the BPO industry.

News & Industry Reports:

Bangko Sentral ng Pilipinas (BSP): Reports on the economic impact of BPOs, often correlating with real estate trends in key cities.

Articles from BusinessWorld, Philippine Daily Inquirer: Frequently report on BPO industry trends, attrition rates, and wage surveys, providing real-world data that reflects these theoretical models. For example, articles on "BPO attrition" or "BPO wage increases" directly relate to Efficiency Wage theory.


Yves Zenou's Urban Labor Economics

Urban Labor Economics by Yves Zenou

I have made and decided to ask AI to review the book of Yves Zenou (Which I do believe a famous Economist and he catches my attention while browsing economic books, I used to dream to become a policy maker and economic researcher at the same time but due to time and money constraints it stop me and still dreaming) before it deletion of the statement and findings. AI now can read books and do a summaries of your choses book and any literature. One thing is that, I want to have a preview of the book before I need to read entirely and comprehensively. Its just like a long preview before scanning it! and look what I found? it very interesting discussion of Urban concerns that made me to be become more and more curious about. Though the settings of the discussion has been set to Foreign society, I have tried to use these suggested lens in the Philippines settings as well. I know the Philippines is different and diverse in terms of culture and how it perceived such modernity, but I do believe we can try to navigate cases and other situation and deep dive more of the social problems that the country is facing today. 

More on the opportunity of this book is that, I used to experiment and think deep if these applicable (Well, pertaining to some economic lenses or theories) in the BPO Industry, which primarily my target thesis for graduate school. As a sociologist, I am really and a die hard fan of social changes. Making this opportunity to read the book is open heart and mind for that objective and I will not give a moment not to read this. 

The Urban Labor Economics by Yves Zenou, provides a comprehensive theoretical framework that integrates urban economics and labor economics to analyze how spatial factors—such as commuting distance, residential location, and urban structure—affect labor market outcomes like unemployment, wages, and job search behavior.

📘 Summary of the Book

The book is divided into three main parts:

Part 1: Urban Search-Matching Models

-Examines how job search and matching are influenced by geographic distance.

-Workers living farther from jobs may search less intensively, leading to longer unemployment spells.

-Introduces models where search intensity depends on distance, housing consumption, and mobility costs.

Key insight: Spatial mismatch (distance between home and jobs) can exacerbate unemployment.

Part 2: Urban Efficiency Wage Models

-Explores how firms set wages above market-clearing levels to motivate workers, accounting for commuting costs.

-Workers with longer commutes may require higher wages to compensate for time and cost.

-Firms may discriminate against workers from distant neighborhoods due to perceived lower productivity or higher turnover risk.

Part 3: Urban Ghettos and the Labor Market

- Applies the models to explain labor market disparities in segregated urban areas (e.g., ghettos).

- Discusses the spatial mismatch hypothesis: Minorities in inner cities face worse job access due to housing discrimination and job decentralization.

- Highlights the role of social networks in job finding, which may be weaker in isolated communities.


🌍 Implications for Reality

The models in the book help explain real-world phenomena such as:

1. Persistent Urban Unemployment

Example: Black communities in U.S. cities like Chicago or Detroit often have high unemployment rates despite available jobs in suburbs.

Reason: Long commutes, lack of information, and low search incentives reduce job-finding rates.

2. Wage Gaps and Commuting Costs

Example: In cities like London or New York, firms sometimes offer transport subsidies or higher wages to attract workers from far away.

Reason: Workers demand compensation for long and costly commutes.

3. Residential Segregation and Labor Outcomes

Example: In France, North African immigrants often live in banlieues (suburbs) far from job centers, leading to higher unemployment.

Reason: Physical and social isolation reduces job access and network-based job referrals.

4. Effect of Public Transportation

Example: Extending subway lines to underserved neighborhoods (e.g., in Medellín, Colombia) can improve job access and reduce unemployment.

Reason: Better transport reduces effective distance to jobs and increases search efficiency.

5. Role of Social Networks

Example: In many cultures, jobs are found through friends and family. Isolated communities (e.g., rural migrants in Chinese cities) may struggle without such networks.

Reason: Weak ties to employed individuals reduce information flow about job openings.

🛠️ Policy Applications

The book suggests several policy interventions:

Improve public transportation to connect residential areas with job centers.

Provide relocation assistance or housing vouchers to help workers move closer to jobs.

Subsidize commuting costs or encourage employers to offer transport benefits.

Strengthen local job networks through community centers, job fairs, or digital platforms.

Promote mixed-income housing to reduce spatial segregation and improve access to job-rich areas.

Urban Labor Economics offers a rigorous theoretical foundation for understanding how space and labor markets interact. It shows that geography matters for employment outcomes, and that policies ignoring spatial factors may fail to address urban unemployment and inequality effectively.

By combining urban and labor economics, Zenou provides tools to design more effective, place-based policies that can help bridge the gap between where people live and where jobs are located.

This book is a significant contribution because it does not rely on a single theoretical lens but rather synthesizes several major strands of economic theory to build a cohesive framework for understanding urban labor markets. The primary theoretical foundations used as lenses are:

1. Search and Matching Theory

2. Efficiency Wage Theory

3. Urban Economic Theory (Monocentric City Model)

4. Spatial Mismatch Hypothesis

5. Social Network Theory

Here is a detailed breakdown of each foundation, its role in the book, and real-world examples.

1. Search and Matching Theory

Theoretical Foundation: This theory, pioneered by economists like Dale Mortensen, Christopher Pissarides, and Peter Diamond, posits that labor markets are characterized by frictions. It takes time and resources for unemployed workers to find suitable jobs and for firms to find suitable employees. This is formally modeled using a matching function (e.g., M = m(U, V)), where the number of matches M depends on the number of unemployed U and vacancies V. Key outcomes are that unemployment and vacancies can coexist in equilibrium, and factors like search intensity and matching efficiency are crucial.

Use in the Book: Zenou integrates this theory with urban space. In a standard model, search intensity is exogenous. Zenou makes it endogenous to location. A worker's distance from job centers (the CBD) negatively impacts their search efficiency (s(x), where x is distance). This simple but powerful modification creates a bidirectional link between the land market (where people live) and the labor market (how easily they find work).

Example & Reference: Consider a low-income worker living in a disadvantaged neighborhood far from suburban job clusters. Their cost of commuting to search for jobs or attend interviews is high, and they may have less access to information about opportunities (e.g., through informal networks). This reduces their effective search effort, leading to longer unemployment spells. This micro-foundation is what gives teeth to the Spatial Mismatch Hypothesis (see below).

Reference: Pissarides, C. A. (2000). Equilibrium Unemployment Theory. MIT Press. Zenou builds directly upon this work explicitly citing it as the "standard workhorse" model which he spatializes.

2. Efficiency Wage Theory

Theoretical Foundation: This theory, associated with economists like George Akerlof and Joseph Stiglitz, explains why firms may pay wages above the market-clearing level. Reasons include reducing shirking (because losing a high-wage job is costly), lowering turnover, attracting better talent, or improving morale. Wages are not just a cost but a tool to influence worker behavior and productivity.

Use in the Book: Zenou spatializes this concept. He proposes that a worker's effort or productivity may be a function of their commute. A long, exhausting commute might make a worker less productive or more prone to shirking. Therefore, a firm might be reluctant to hire someone from a distant, poorly connected neighborhood because it would have to pay a very high efficiency wage to compensate for the productivity loss, making the hire unprofitable. This provides a firm-side mechanism for spatial mismatch.

Example & Reference: A factory manager in an industrial suburb might perceive two identical applicants: one from a nearby suburb and one from a distant inner-city neighborhood. The manager might believe the inner-city applicant, due to a potential 90-minute commute each way, will be more fatigued, more likely to be late, and have a higher quit rate. The firm may thus discriminate based on address, not due to taste-based prejudice, but from a profit-maximizing concern about productivity—a form of statistical discrimination.

Reference: Shapiro, C., & Stiglitz, J. E. (1984). Equilibrium Unemployment as a Worker Discipline Device. American Economic Review, 74(3), 433-444. Zenou adapts such shirking models to include commuting costs as a determinant of the cost of job loss.

3. Urban Economic Theory (The Monocentric City Model)

Theoretical Foundation: This is the core model of urban economics, developed by William Alonso, Richard Muth, and Edwin Mills. It explains urban spatial structure by modeling the trade-off between commuting costs and land rents. Agents choose a location x (distance from the CBD) to maximize utility. In equilibrium, land rent decreases with distance from the CBD, and higher-income households (with a higher value of time and steeper bid-rent curves) outbid others for central locations.

Use in the Book: Zenou uses this model as the fundamental spatial framework. He inserts employed and unemployed workers into this model. Typically, employed workers, who commute daily, have a steeper bid-rent curve than unemployed workers, who commute less frequently. This leads to a spatial sorting where the employed live closer to the CBD and the unemployed are pushed to the periphery. This outcome itself then feeds back into the labor market through the search mechanism described above.

Example & Reference: This explains the historical pattern of many American cities: wealthier, employed individuals suburbanize, while lower-income, often unemployed or underemployed individuals remain in the depreciating urban core. Their residential choice isn't just about preference; it's an equilibrium outcome of the land market where they are outbid for accessible locations.

Reference: Fujita, M. (1989). Urban Economic Theory: Land Use and City Size. Cambridge University Press. Zenou frequently cites this text and uses its formal definition of bid-rent functions and urban equilibrium.

4. Spatial Mismatch Hypothesis (SMH)

Theoretical Foundation: Originally formulated by John Kain (1968), the SMH argues that housing discrimination and segregation have forced minorities into decentralized urban neighborhoods far from emerging job opportunities (often in suburbs). This geographic disconnect is a primary cause of high unemployment and low wages among minority groups.

Use in the Book: Zenou's entire work can be seen as providing the rigorous microeconomic theoretical foundations that the SMH lacked. Prior to works like his, the SMH was primarily an empirical and sociological concept. Zenou's models show exactly how distance translates into worse labor outcomes—through reduced search intensity (Part 1), through firms' efficiency wage considerations (Part 2), and through broken networks (Part 3).

Example & Reference: The classic example is the contrast between Detroit's predominantly Black, high-unemployment urban core and the booming automotive and tech jobs in the surrounding suburbs of Oakland and Macomb counties. Zenou's models formalize why a resident of central Detroit is less likely to know about, apply for, or be hired for a job in Auburn Hills compared to a local suburbanite.

Reference: Kain, J. F. (1968). Housing Segregation, Negro Employment, and Metropolitan Decentralization. The Quarterly Journal of Economics, 82(2), 175–197. Zenou directly addresses this seminal hypothesis and aims to formalize its mechanisms.

5. Social Network Theory

Theoretical Foundation: This theory, from sociology and economics, argues that information flows through social connections. Job market information is often imperfect and transmitted through informal networks. The structure of one's network (e.g., "strong ties" with family vs. "weak ties" with acquaintances that bridge different social circles) significantly impacts job-finding success.

Use in the Book: In Part 3, Zenou argues that physical distance is not the only barrier; social distance matters too. Even if jobs are physically close, social isolation can prevent information from flowing into a neighborhood. He models how residential segregation leads to segregated networks, which are less effective at providing information about job openings, especially those in other parts of the city.

Example & Reference: A young person in a segregated, high-poverty neighborhood may have a social network consisting almost entirely of other unemployed or precariously employed individuals. This network provides few job leads. In contrast, a similar individual in a more mixed-income neighborhood might have a connection to someone who can refer them for an opening. This is not just about what you know, but who you know, and segregation directly limits "who you know."

Reference: Granovetter, M. S. (1973). The Strength of Weak Ties. American Journal of Sociology, 78(6), 1360–1380. While Zenou uses more modern graph-theoretic approaches, the core idea aligns with Granovetter's foundational work on how networks transmit information.

Synthesis and Conclusion

Yves Zenou's Urban Labor Economics is groundbreaking because it weaves these five theoretical foundations into a single, coherent framework. He demonstrates that urban labor markets cannot be understood by studying search, wages, or geography in isolation. The book shows that space affects search, search affects unemployment, unemployment affects location, and location affects networks, creating a self-reinforcing cycle of spatial inequality. By providing this theoretical lens, Zenou moves the discussion of spatial mismatch from a mere correlation to a well-defined economic equilibrium with clear mechanisms, thereby enabling the design of more targeted and effective policy interventions.



AI Photo Manipulation and the Social Construction of Reality

Photo with JK made with Gemini        One of today’s most prominent trends is photo manipulation using Artificial Intelligence (AI) platform...