How AI Became ICE’s Best Weapon
How AI Became ICE’s Best Weapon
How AI Is Enhancing ICE Raids
Artificial intelligence is transforming ICE raids by replacing traditional surveillance with data-driven systems capable of analyzing millions of records in seconds. Through partnerships with companies like Palantir Technologies, ICE integrates databases from social media, public records, driver’s licenses, and mobile apps to reconstruct daily routines and predict movements.
Tools such as facial recognition, license plate readers, and phone tracking improve efficiency and can reduce target-location time by 35%. However, these systems raise serious concerns, including privacy violations, algorithmic bias, and wrongful detentions.
As predictive analytics expands, the challenge lies in balancing national security objectives with civil liberties and the protection of democratic rights.
CHAPTERS:
0:09 AI Enforcement Systems
1:27 ICE Data Analysis
2:58 AI Surveillance Networks
3:31 ICE Predictive Targeting
4:04 Facial Recognition AI
5:46 ICE Biometric Databases
6:15 AI Social Media Monitoring
7:02 ICE Phone Tracking
8:18 AI Risk Assessment
9:12 ICE Algorithmic Operations
Produced by: Samantha Harvey
Edited by: Jacob Smith
Animation: Charlotte Brown
Additional Footage: Getty Images
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How Is AI Creating a Whole New Class of Jobs?
How AI Is Driving a New-Collar Era for Jobs
Artificial intelligence is transforming the labor market, creating a new “new-collar” era that blends technical, digital, and human skills. While overall hiring remains below pre-2020 levels, demand for AI skills is growing rapidly, driving the creation of hybrid roles and over a million AI-related jobs worldwide.
Automation is not only improving efficiency but also generating new professions and entrepreneurial opportunities. Generation Z increasingly favors technical trades for their stability and resilience, as these roles integrate technology rather than disappear.
With more than 40% of current skills expected to change by 2030, continuous learning, reskilling, and AI literacy are essential to ensure inclusive growth and future workforce adaptability.
CHAPTERS:
0:18 AI Workforce
0:42 Job Market Transformation
1:05 Technical Trades
1:37 Hybrid Jobs
2:10 Digital Skills
2:56 AI Literacy
3:21 Tech Job Demand
4:03 Workforce Reskilling
5:14 New-Collar Jobs
7:02 Future Of Work
Produced by: Samantha Harvey
Edited by: Jacob Smith
Animation: Charlotte Brown
Additional Footage: Getty Images
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How Data Centers Are Wiping Out Our Drinking Water
How AI Stole Our Jobs and Now Our Drinking Water
Artificial intelligence relies on massive data centers that consume vast amounts of water to cool heat-generating servers. A single facility may use millions of gallons daily, much of it potable, and significant volumes are lost through evaporation.
Beyond direct use, AI’s indirect water footprint includes electricity generation, semiconductor manufacturing, and raw material extraction, all of which require substantial water. As AI demand grows, energy use and water consumption could rise dramatically, intensifying pressure in water-stressed regions and sparking social tensions.
Although companies pursue water-neutral strategies and efficiency measures, sustainable AI development will depend on reducing water use across its entire technological supply chain.
CHAPTERS:
0:07 AI Water Consumption
0:29 Data Center Water Usage
1:54 AI Environmental Impact
2:16 AI Sustainability
3:43 Green Data Centers
4:21 AI Energy And Water Footprint
5:02 Water Cooling Data Centers
6:18 AI Carbon And Water Footprint
7:47 Sustainable AI Infrastructure
8:00 AI Resource Consumption
Produced by: Samantha Harvey
Edited by: Jacob Smith
Animation: Charlotte Brown
Additional Footage: Getty Images
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How Circular Deals Are Making the AI Bubble Even Worse
How Circular Deals Are Driving the AI Boom
Artificial intelligence has rapidly become the core of the global tech economy, driven by massive investments in data centers, energy, and semiconductors.
A small group of dominant companies finances and buys from one another, creating “circular deals” that concentrate growth and risk within the same ecosystem. Although spending is soaring and infrastructure is expanding worldwide, profitability remains uncertain, with many projects operating below capacity and relying on future demand.
Rising energy costs, resource use, and external financing add pressure. While AI promises transformation, overvaluation concerns and comparisons to the dot-com bubble highlight vulnerabilities if growth expectations fail to materialize.
CHAPTERS:
0:09 Software Developers
0:37 Data Analysts
1:18 Systems Administrators
1:56 DevOps Engineers
2:34 IT Support Specialists
3:11 Database Administrators
4:27 Solutions Architects
5:03 Technical Product Managers
6:22 AI Ethics Specialists
7:30 Robotics Engineers
Produced by: Samantha Harvey
Edited by: Jacob Smith
Animation: Charlotte Brown
Additional Footage: Getty Images
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Why Americans Are Falling Behind, Even With Two Jobs
The American Dream is increasingly unattainable on a single income. In the mid-20th century, one middle-class salary was often sufficient to cover housing, healthcare, education, and savings. Today, however, wages have not kept pace with the rising costs of essential goods.
Housing, childcare, healthcare, and education have increased dramatically, while stable jobs with benefits have declined. Union coverage has weakened, precarious work has expanded, and savings have become harder to maintain.
As a result, most households now rely on two incomes simply to meet basic expenses. In the current economic context, work alone no longer guarantees financial stability.
CHAPTERS:
0:12 Employment
0:45 Labor Market
1:10 Job Stability
1:55 Wages
2:30 Productivity
3:05 Gig Work
4:20 Benefits
5:10 Jobs
6:00 Job Market
7:12 Economic Security
Produced by: Samantha Harvey
Edited by: Jacob Smith
Animation: Charlotte Brown
Additional Footage: Getty Images
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If AI Is Taking Jobs, Why Are CEOs Still Making Millions?
Why Do CEOs Make So Fucking Much?
Since the 1970s, CEO pay in the U.S. has skyrocketed by over 1,300%, now averaging $17 million annually—nearly 200 times the typical worker's salary.
This growth is driven by financial incentives rather than performance, with over 70% of executive packages tied to stocks and bonuses.
Boards of directors often inflate these salaries through peer comparisons, despite evidence that higher pay doesn't guarantee better results. While worker wages remain stagnant despite rising productivity, alternative models like
Employee Stock Ownership Plans (ESOPs) are emerging to distribute wealth more equitably, reduce turnover, and increase long-term corporate stability.
CHAPTERS:
0:15 CEO Base salary
1:03 Financial incentives
1:58 Stock-based compensation
2:45 Executive packages
3:22 Strategic goals
4:07 Revenue targets
5:14 Wealth concentration
5:56 Internal votes
6:38 Corporate profits
7:19 Wage inequality
Produced by: Samantha Harvey
Edited by: Jacob Smith
Animation: Charlotte Brown
Additional Footage: Getty Images
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How Replacing Developers With AI is Going Horribly Wrong
How Replacing Developers With AI is Going Horribly Wrong
In recent years, many predicted that artificial intelligence would replace most software developers by the mid-2020s. However, evidence from 2024 and 2025 shows the opposite trend: companies are rehiring developers after realizing AI’s limitations.
While AI tools can speed up simple and repetitive tasks, their performance declines in real production environments. Studies reveal that AI-generated code is more repetitive, less robust, and significantly more vulnerable to security flaws.
Senior developers often lose productivity correcting AI output. High-profile failures and security incidents demonstrate that AI cannot replace human judgment, but can only support developers by handling routine tasks.
CHAPTERS:
0:18 Developer Hiring
1:47 Tech Layoffs
2:05 Software Jobs
2:42 Job Market Shift
3:10 AI And Employment
3:55 Tech Workforce
4:28 Engineering Roles
5:06 Developer Demand
6:12 Automation Impact
7:48 Tech Job Market
Executive Producer: Danny Pasquel
Produced by: Samantha Harvey
Edited by: Jacob Smith
Animation: Charlotte Brown
Additional Footage: Getty Images
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What's Next to The Tech Job Market in 2026
2025 Tech Job Market Recap
In 2025, the U.S. tech labor market began the year under pressure from ongoing layoffs and hiring freezes that carried over from 2023 and 2024, leading to fewer job postings and intense competition, especially for junior and entry-level roles.
During the first half of the year, technology firms focused on cost efficiency, smaller teams, and selective hiring, while contract and temporary work became more common.
By midyear, uncertainty around economic policy and corporate spending continued to limit expansion. Toward the end of 2025, hiring stabilized slightly in specific areas such as cloud infrastructure and cybersecurity, though overall employment and wages remained subdued.
CHAPTERS:
0:00 2025 Tech Job Market Recap
1:00 The Rise and Fall of Software Engineers
8:03 How AI is Causing a White-Collar Bloodbath
16:05 How AI is Pushing Tech Workers to Blue-Collar Jobs
25:28 Why Are Tech Companies Becoming Empty
33:23 When Will Tech Jobs Come Back
Produced by: Samantha Harvey
Edited by: Jacob Smith
Animation: Charlotte Brown
Additional Footage: Getty Images
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If AI Takes All Jobs, Who Will Buy Everything?
How AI Is Making Universal Basic Income Inevitable
Artificial intelligence is rapidly transforming the global labor market, causing millions of job losses. In 2025, 75 million jobs were lost worldwide, and AI could replace nearly 40% of U.S. jobs by 2030. Unlike the Industrial Revolution, AI threatens both manual and cognitive work, disproportionately affecting young and inexperienced workers.
Traditional social protections may be insufficient, making universal basic income (UBI) increasingly necessary. Proposals like Andrew Yang’s $1,000 monthly Freedom Dividend aim to stabilize consumption, reduce inequality, and redistribute wealth generated by automation.
While challenges remain, UBI offers a structural solution to ensure economic stability and social cohesion in an AI-driven era.
CHAPTERS:
0:12 AI
0:35 Job Market
0:48 Automation
1:05 Tech Jobs
1:22 Labor Market
1:37 Jobless
1:55 Universal Basic Income
2:10 Wage Stagnation
2:28 Wealth Concentration
3:42 Entry-Level Jobs
4:01 Cognitive Tasks
5:18 Job Displacement
6:35 Tech Job Market
7:52 Dynamic Pricing
8:10 AI Price Gouging
Produced by: Samantha Harvey
Edited by: Jacob Smith
Animation: Charlotte Brown
Additional Footage: Getty Images
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How AI Is Making Everything More Expensive
AI Price Gouging: Corporate Greed Is Out of Control
Artificial intelligence is transforming pricing across industries by enabling personalized, dynamic price adjustments based on individual consumer data. While dynamic pricing originated in the U.S. airline industry in the 1970s, advances in AI have dramatically expanded its reach.
Companies now analyze browsing behavior, location, device type, and purchasing patterns to estimate how much each customer is willing to pay. Studies show revenue gains for airlines, hotels, retailers, and ride-hailing platforms like Uber, often without proportional benefits for workers.
Critics warn that AI-driven pricing deepens economic inequality by segmenting consumers and charging higher prices based on perceived wealth rather than product value.
CHAPTERS:
0:08 Dynamic Pricing
0:42 AI Pricing Systems
1:15 Algorithmic Pricing
1:49 Personalized Pricing
2:27 Surge Pricing
3:06 Price Discrimination
3:48 Data-Driven Pricing
4:22 Retail Dynamic Pricing
5:09 AI-Based Pricing Models
6:34 Surveillance Pricing
7:18 Digital Price Labels
8:03 Automated Price Adjustments
Produced by: Samantha Harvey
Edited by: Jacob Smith
Animation: Charlotte Brown
Additional Footage: Getty Images
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Why is the Tech Job Market on the Brink of Collapse?
Why is the Tech Job Market on the Brink of Collapse?
The U.S. job market is undergoing a historic adjustment marked by rising unemployment, declining opportunities, and accelerating automation. Despite record corporate profits, companies have cut more than a million jobs, creating a “jobless boom.”
AI-driven automation has already eliminated tens of thousands of roles, while entry-level positions are disappearing as 61% now require prior experience. Workers face high education costs, stagnant wages, and soaring living expenses, forcing millions to take multiple jobs.
Hiring algorithms filter most applications before human review, worsening access to stable work. As a result, both new graduates and mid-career professionals confront a highly competitive, shrinking labor market.
CHAPTERS:
0:12 Job Market
0:38 Job Growth
1:05 Job Losses
1:44 Jobless Boom
2:10 Tech Jobs
2:56 Tech Workforce
3:27 Job Automation
4:03 Job Displacement
5:22 Job Applicants
6:48 Job Opportunities
Produced by: Samantha Harvey
Edited by: Jacob Smith
Animation: Charlotte Brown
Additional Footage: Getty Images
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Why Replacing Humans with AI is Going Horribly Wrong (Reposted)
Replacing Humans with AI is Going Horribly Wrong
Major tech companies, including Tesla, Microsoft, Amazon, and Google, have tried replacing humans with AI, often resulting in layoffs and operational setbacks.
Overconfidence in AI led to production delays, service errors, and reduced customer satisfaction, as seen in Tesla, Klarna, IBM, Taco Bell, and Duolingo. Studies show only 7% of AI initiatives deliver measurable returns, while unsupervised automation increases employee turnover and costs.
Successful AI adoption relies on careful planning, human oversight, and training. Companies that integrate AI gradually report productivity gains and cost reductions, highlighting the importance of complementing rather than replacing human labor.
CHAPTERS:
0:12 AI
0:45 Turnover
1:05 Automation
1:28 Job Insecurity
1:55 Employee Layoffs
2:16 Talent Loss
2:40 Workforce Reduction
3:02 Human Oversight
3:30 Job Market
4:12 Tech Jobs
5:05 Job Regret
Produced by: Samantha Harvey
Edited by: Jacob Smith
Animation: Charlotte Brown
Additional Footage: Getty Images
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