Tag Archives: #TechnoFeudalism

We all need a ‘Digital Bill of Rights’

Ever had that strange feeling? You mention needing a new garden fork in a message, and for the next week, every corner of the internet is suddenly waving one in your face. It’s a small thing, a bit of a joke, but it’s a sign of something much bigger, a sign that the digital world—a place of incredible creativity and connection—doesn’t quite feel like your own anymore.

The truth is, and let’s be authentic about it, we’ve struck a strange bargain. We’re not really the customers of these huge tech companies; in a funny sort of way, we’re the product. We leave a trail of digital breadcrumbs with every click and share, not realising they’re being gathered for someone else’s feast. Our digital lives are being used to train algorithms that are learning to anticipate our every move. It’s all a bit like we’re living in a house with glass walls, and we’ve forgotten who’s looking in or why. We’ve drifted into a new kind of system, a techno-feudalism, where a handful of companies own the infrastructure, write the rules we blithely agree to, and profit from the very essence of us.

This isn’t some far-off problem; it’s happening right here on our doorstep. Take Palantir, a US spy-tech firm now managing a massive platform of our NHS patient data. They’re also working with UK police forces, using their tech to build surveillance networks that can track everything from our movements to our political views. Even local councils are getting in on the act, with Coventry reviewing a half-a-million-pound deal with the firm after people, quite rightly, got worried. This is our data, our health records, our lives.

When you see how engineered the whole system is, you can’t help but ask: why aren’t we doing more to protect ourselves? Why do we have more rights down at the DVLA than we do online? Here in the UK, we have laws like the GDPR and the new Data (Use and Access) Act 2025, which sound good on paper. But in practice, they’re riddled with loopholes, and recent changes have actually made it easier for our data to be used without clear consent. Meanwhile, data brokers are trading our information with little oversight, creating risks that the government itself has acknowledged are a threat to our privacy and security.

It feels less like a mistake and more like the intended design.

This isn’t just about annoying ads. Algorithms are making life-changing decisions. In some English councils, AI tools have been found to downplay women’s health issues, baking gender bias right into social care. Imagine your own mother or sister’s health concerns being dismissed not by a doctor, but by a dispassionate algorithm that was never taught to listen properly. Amnesty International revealed last year how nearly three-quarters of our police forces are using “predictive” tech that is “supercharging racism” by targeting people based on biased postcode data. At the same time, police are rolling out more live facial recognition vans, treating everyone on the street like a potential suspect—a practice we know discriminates against people of colour. Even Sainsbury’s is testing it to stop shoplifters. This isn’t the kind, fair, and empathetic society we want to be building.

So, when things feel this big and overwhelming, it’s easy to feel a bit lost. But this is where we need to find that bit of steely grit. This is where we say, “Right, what’s next?”

If awareness isn’t enough, what’s the one thing that could genuinely change the game? It’s a Digital Bill of Rights. Think of it not as some dry legal document, but as a firewall for our humanity. A clear, binding set of principles that puts people before profit.

So, if we were to sit down together and draft this charter, what would be our non-negotiables? What would we demand? It might look something like this:

  • The right to digital privacy. The right to exist online without being constantly tracked and profiled without our clear, ongoing, and revocable consent. Period.
  • The right to human judgment. If a machine makes a significant decision about you – such as your job or loan – you should always have the right to have a human review it. AI does not get the final say.
  • A ban on predictive policing. No more criminalising people based on their postcode or the colour of their skin. That’s not justice; it’s algorithmic segregation.
  • The right to anonymity and encryption. The freedom to be online without being unmasked. Encryption isn’t shady; in this world, it’s about survival.
  • The right to control and delete our data. To be able to see what’s held on us and get rid of it completely. No hidden menus, no 30-day waiting periods. Just gone.
  • Transparency for AI. If an algorithm is being used on you, its logic and the data it was trained on should be open to scrutiny. No more black boxes affecting our lives.

And we need to go further, making sure these rights protect everyone, especially those most often targeted. That means mandatory, public audits for bias in every major AI system. A ban on biometric surveillance in our public spaces. And the right for our communities to have a say in how their culture and data are used.

Once this becomes law, everything changes. Consent becomes real. Transparency becomes the norm. Power shifts.

Honestly, you can’t private-browse your way out of this. You can’t just tweak your settings and hope for the best. The only way forward is together. A Digital Bill of Rights isn’t just a policy document; it’s a collective statement. It’s a creative, hopeful project we can all be a part of. It’s us saying, with one voice: you don’t own us, and you don’t get to decide what our future looks like.

This is so much bigger than privacy. It’s about our sovereignty as human beings. The tech platforms have kept us isolated on purpose, distracted and fragmented. But when we stand together and demand consent, transparency, and the simple power to say no, that’s the moment everything shifts. That’s how real change begins – not with permission, but with a shared sense of purpose and a bit of good-humoured, resilient pressure. They built this techno-nightmare thinking no one would ever organise against it. Let’s show them they were wrong.

The time is now. With every new development, the window for action gets a little smaller. Let’s demand a Citizen’s Bill of Digital Rights and Protections from our MPs and support groups like Amnesty, Liberty, and the Open Rights Group. Let’s build a digital world that reflects the best of us: one that is creative, kind, and truly free.

Say no to digital IDs here https://petition.parliament.uk/petitions/730194

Sources

  1. Patient privacy fears as US spy tech firm Palantir wins £330m NHS …
  2. UK police forces dodge questions on Palantir – Good Law Project
  3. Coventry City Council contract with AI firm Palantir under review – BBC
  4. Data (Use and Access) Act 2025: data protection and privacy changes
  5. UK Data (Access and Use) Act 2025: Key Changes Seek to …
  6. Online tracking | ICO
  7. protection compliance in the direct marketing data broking sector
  8. Data brokers and national security – GOV.UK
  9. Online advertising and eating disorders – Beat
  10. Investment in British AI companies hits record levels as Tech Sec …
  11. The Data Use and Access Act 2025: what this means for employers …
  12. AI tools used by English councils downplay women’s health issues …
  13. Automated Racism Report – Amnesty International UK – 2025
  14. Automated Racism – Amnesty International UK
  15. UK use of predictive policing is racist and should be banned, says …
  16. Government announced unprecedented facial recognition expansion
  17. Government expands police use of live facial recognition vans – BBC
  18. Sainsbury’s tests facial recognition technology in effort to tackle …
  19. ICO Publishes Report on Compliance in Direct Marketing Data …
  20. Data brokers and national security – GOV.UK
  21. International AI Safety Report 2025 – GOV.UK
  22. Revealed: bias found in AI system used to detect UK benefits fraud
  23. UK: Police forces ‘supercharging racism’ with crime predicting tech
  24. AI tools risk downplaying women’s health needs in social care – LSE
  25. AI and the Far-Right Riots in the UK – LSE
  26. Unprecedented Expansion of Facial Recognition Is “Worrying for …
  27. The ethics behind facial recognition vans and policing – The Week
  28. Sainsbury’s to trial facial recognition to catch shoplifters – BBC
  29. No Palantir in the NHS and Corporate Watch Reveal the Real Story
  30. UK Data Reform 2025: What the DUAA Means for Compliance
  31. Advancing Digital Rights in 2025: Trends – Oxford Martin School
  32. Declaration on Digital Rights and Principles – Support study 2025
  33. Advancing Digital Rights in 2025: Trends, Challenges and … – Demos

Humans vs. Machines: The Battle for Work In An AI-Dominated World

As of May 2025, the rapid advancement of artificial intelligence (AI) is significantly reshaping the global workforce. Research indicates that 14% of workers have experienced job displacement due to AI, particularly in technology and customer service (AI Replacing Jobs statistics and trends 2025). Projections suggest AI could impact up to 40% of global jobs by 2030 (World Economic Forum), presenting profound challenges and considerable opportunities. Companies like Shopify and Klarna are increasingly leveraging AI to streamline operations and reduce staff – Shopify by mandating AI use before human hires, and Klarna by replacing 700 customer service agents – raising widespread concerns about future employment (Shopify CEO Tobi Lütke memo on AI hiring policy; Klarna AI replaces 700 customer service agents news). A central debate revolves around balancing AI’s productivity gains, such as a reported 66% increase in employee productivity (NN Group), against potential societal inequality and the urgent need for worker adaptation. This analysis explores the current landscape, future projections, worker anxieties, and the impact of recent announcements from Microsoft and Google, drawing from industry reports, emerging trends, and discussions on X, to offer a guide for navigating this transformative shift.


Current Impact and Specific Examples

AI is already having a huge impact. By May 2025, estimates suggest that 14% of workers have experienced job displacement due to AI. In the US, AI was directly attributed to 3,900 job losses in May 2023 alone, constituting 5% of total job losses that month and ranking as the seventh-largest contributor to displacement (AI Replacing Jobs statistics and trends 2025). The technology sector has been particularly affected, witnessing 136,831 job losses in 2025, the highest figure since 2001, reflecting broader automation trends (AI Replacing Jobs statistics and trends 2025).

Specific cases highlight this development:

  • Shopify: In April 2025, CEO Tobi Lütke issued a memo stipulating that teams must justify human hires by first demonstrating why AI cannot perform the job. AI proficiency is now a “fundamental expectation,” with daily usage required and performance reviews incorporating AI utilisation (Shopify CEO Tobi Lütke memo on AI hiring policy). This policy followed previous workforce reductions of 20% in 2023 and further layoffs in 2024, leaving the company with 8,100 employees (Shopify layoffs 2023 2024 workforce reduction details).
  • Klarna: The CEO of Klarna reported that AI has replaced 700 customer service agents. The company plans to reduce its workforce from 4,000 to 2,000, citing a 74% productivity increase and a rise in revenue per employee from $575,000 to nearly $1 million within a year (Klarna AI replaces 700 customer service agents news). These layoffs targeted entire roles, not just underperformers, indicating a fundamental reimagining of workflows that minimises human involvement.
  • Microsoft: In 2025, Microsoft laid off 6,000 employees (nearly 3% of its global workforce), including senior roles such as Director of AI for Start-ups. This occurred despite AI reportedly contributing 30% of code generation in some projects, reflecting an industry-wide move towards automation (Microsoft lays off 6000 employees, including AI leadership roles).

These examples illustrate how major corporations prioritise AI-driven efficiency, often leading to job reductions, particularly in technology and customer service roles. The bottom line is profit-driven greed, growth at all costs.


Looking Ahead

Research points to significant future displacement. The World Economic Forum’s (WEF) 2025 Future of Jobs Report estimates that 92 million roles will be displaced globally by 2030 due to technological development, the green transition, and other factors. Crucially, however, the same report projects the creation of 170 million new jobs, resulting in a net increase of 78 million. This growth is anticipated to be driven by skills in AI, big data, and technological literacy (Future of Jobs Report 2025). The survey underpinning these projections involved over 1,000 major employers worldwide, representing 22 industry clusters and over 14 million workers, lending robustness to its findings.

Other estimates include:

  • Goldman Sachs predicts that generative AI could expose 300 million full-time jobs to automation, affecting 25% of the global labour market by 2030. (AI and Jobs: How Many Roles Will AI Replace by 2030?).
  • The International Monetary Fund (IMF) states that almost 40% of global employment is exposed to AI, with the potential for significant disruption (AI and Jobs: How Many Roles Will AI Replace by 2030?).
  • According to another WEF report (15 Jobs Will AI Replace by 2030?), 40% of programming tasks could be automated by 2040.

Employer expectations underscore this trend: 40% anticipate workforce reductions between 2025 and 2030 where AI can automate tasks, and 41% plan downsizing due to AI, as per the WEF’s 2025 report (AI could disrupt 40% of global jobs).


Productivity Gains and Job Creation

While displacement is a pressing concern, AI also drives substantial productivity gains, which can, in turn, foster new job creation. McKinsey research estimates the long-term AI opportunity at $4.4 trillion in added productivity growth potential from corporate use cases, highlighting its economic impact (AI in the workplace: A report for 2025 | McKinsey). A study by the NN Group found that generative AI improves employee productivity by 66% across various business tasks, with the most significant gains observed among less-skilled workers. This suggests a potential pathway for upskilling to mitigate displacement (Generative AI improves employee productivity by 66 per cent).

New roles include big data specialists, fintech engineers, and AI and machine learning specialists. Projections suggest AI could create 97 million new jobs by 2025 (Edison and Black). However, these roles often demand higher skill levels, potentially exacerbating inequality if access to relevant training remains uneven.


Worker Concerns and Adaptation Strategies

Worker anxieties are significant. A PwC survey found that 30% of workers fear job replacement by AI by 2025. Furthermore, McKinsey reports that employees believe AI will replace 30% of their work, with 47% expecting this within a year (AI Replacing Jobs statistics and trends 2025). Younger workers (aged 18-24) are 129% more likely than those over 65 to worry about job obsolescence, reflecting notable generational differences in perception (AI Replacing Jobs statistics and trends 2025).

Adaptation is crucial, with AI literacy increasingly becoming a prerequisite for employment. Employees must learn to leverage AI tools to enhance their output, as companies increasingly mandate AI usage and require justification for human hires based on AI’s inability to perform specific tasks. Developing a personal brand, through activities such as thought leadership and content creation, is suggested as a defensive strategy, as AI is perceived to more readily replace “anonymous” workers than those with established visibility and expertise (Human-AI Collaboration and Job Displacement Current Landscape).

Detailed strategies include:

  • Skill Development: Upskilling and reskilling in AI-related fields like data analysis and machine learning are paramount. Many companies and governments offer programmes, such as free courses on Coursera or edX, to assist workers in this transition (Impact of AI on Employment).
  • Personal Branding: Cultivating unique skills and a visible professional presence through thought leadership can highlight human attributes like creativity and emotional intelligence, which AI cannot easily replicate (Human-AI Collaboration and Job Displacement Current Landscape).
  • Complementary Roles: It is advisable to explore AI-adjacent roles such as AI ethics specialists, data stewards, and AI system managers. Emerging fields include big data specialists and AI trainers (15 Jobs Will AI Replace by 2030?).
  • Support Systems: Utilising government and corporate training programmes is encouraged. Public-private partnerships are increasingly designing AI curricula to align with evolving industry demands (Impact of AI on Employment).
  • Proactivity and Adaptability: Staying informed about AI trends, experimenting with AI tools, and maintaining openness to career pivots are key, as adaptability is vital (Job Disruption or Destruction: Adopting AI at the Workplace).
  • Policy Advocacy: Supporting policies that promote universal basic income (UBI), effective retraining initiatives, and ethical AI deployment can help address potential inequality (AI and Economic Displacement). 

Microsoft and Google’s Recent Moves

At Microsoft Build 2025 (Seattle, May 19-22), the company introduced the Windows AI Foundry and the native Model Context Protocol (MCP) in Windows, enhancing AI-driven automation and providing developers with new tools for creating AI-powered applications. The public preview of SQL Server 2025 was also announced, featuring AI-ready enterprise database capabilities for ground-to-cloud data management and advanced analytics. Furthermore, Microsoft brought DeepSeek R1 models to Windows 11 Copilot+ PCs and debuted new research tools for Microsoft 365 Copilot, signalling a deeper integration of AI across its software and services.

Simultaneously, at Google I/O 2025 (Mountain View, May 20-21), Google unveiled substantial AI updates. They announced Gemini 2.5 Pro, which reportedly swept the LMArena leaderboard, demonstrating rapid model progress with Elo scores up more than 300 points since the first-generation Gemini Pro model. Google also introduced Android XR software for smart glasses, showcasing frames capable of language translation and answering queries about the user’s surroundings, with partnerships announced with Samsung, Warby Parker, and Gentle Monster to develop headsets featuring Android XR. New AI integrations across Search, Chrome, and other products were also revealed, emphasising AI’s increasing infiltration into all aspects of their ecosystem.

These concurrent announcements underscore the accelerating expansion of AI offerings by these tech giants. This could further hasten job displacement by embedding AI more deeply into everyday tools and services, thereby intensifying the pressure on workers to adapt swiftly.

Global Risks and Inequality

A UN report highlights that AI could disrupt 40% of global jobs. It also warns of the risk of increased inequality, exacerbated by the concentration of 40% of AI research and development spending among just 100 US-based firms. This concentration could further disadvantage regions lacking access to AI technology or training, raising significant ethical and economic concerns (AI could disrupt 40% of global jobs, UN report warns).


Recent Discussions on X

Recent posts on the X platform reflect ongoing public and expert concerns:

  • JoongAng Daily reported on a Bank of Korea study suggesting that more than half of South Korea’s workforce will be impacted by AI, either through job displacement or enhanced productivity.
  • Star Online noted that AI could affect 40% of jobs worldwide, offering productivity gains and fueling automation anxieties.
  • The New Yorker discussed studies indicating AI’s potential for mass job displacement, even in white-collar fields, questioning whether AI can genuinely augment rather than simply replace human expertise.

These discussions, including predictions like AegisGnosis, which suggests a 10% probability of mass displacement in manufacturing and customer service by 2025 (with 85% confidence), underscore the urgency and breadth of the issue.


Summary Table of Key Statistics

MetricValueSource
Workers affected by AI displacement14% by 2025AI Replacing Jobs statistics and trends 2025
Jobs displaced by 203092 millionFuture of Jobs Report 2025
New jobs created by 2030170 millionFuture of Jobs Report 2025
Workers fearing job replacement by 202530%AI Replacing Jobs statistics and trends 2025
Employers planning AI-driven downsizing41% by 2025–2030AI could disrupt 40% of global jobs (WEF cited source)
Generative AI improves employee productivity by 66 per cent66%Generative AI improves employee productivity by 66 percent

Conclusion

In 2025, AI-driven job displacement is a pressing reality. Current impacts reveal significant job losses, particularly in technology and customer service, while future projections suggest up to 40% of global jobs could be affected by 2030. Although AI stimulates productivity and creates new roles, the equilibrium between displacement and adaptation remains contentious. Workers must upskill, and companies must navigate complex ethical and economic considerations. The recent announcements from Microsoft and Google in May 2025, featuring innovations like the Windows AI Foundry, Gemini 2.5 Pro, and Android XR, signal an accelerated expansion of AI, potentially intensifying these pressures.

Online discourse and expert reports highlight this urgency, advocating for strategies such as reskilling initiatives, personal branding, and potentially broader societal support systems like Universal Basic Income, to mitigate adverse impacts and strive for a future where technology augments human potential rather than merely supplanting it.

Key Citations