• Technology has become less humane as profit optimization replaced usefulness.
  • AI tools increasingly centralize power instead of distributing it.
  • Language preservation has worsened under English-first AI systems.
  • Translation quality for African languages has declined despite technical advances.
  • Data extraction from marginalized communities has accelerated without consent.
  • Ethical standards in AI deployment have eroded under venture pressure.
  • Billionaire influence over media has intensified and distorted public discourse.
  • Journalism independence has weakened as ownership consolidated.
  • Philanthropy transparency has deteriorated behind complex foundations.
  • Refugee access to basic digital services has become more fragile, not more reliable.
  • Digital literacy gaps have widened instead of narrowing.
  • Aid systems have grown more performative and less effective.
  • Humanitarian tech increasingly serves donors instead of recipients.
  • Corporate accountability has declined as companies grow larger and more abstract.
  • Art compensation has worsened in the age of AI training and scraping.
  • Creative labor protections have failed to keep pace with automation.
  • Cultural nuance is being flattened by large language models.
  • Privacy protections have weakened under “innovation” rhetoric.
  • Consent standards for data use have become more ambiguous and exploitable.
  • Media narratives about poverty have become more dehumanizing.
  • Wealth inequality has accelerated beyond historical norms.
  • Tax avoidance by the ultra-wealthy has become more normalized.
  • Public trust in institutions has deteriorated sharply.
  • Scientific funding has become more politically constrained.
  • DEI language policing has chilled legitimate research.
  • Refugee voices are increasingly mediated instead of heard directly.
  • Tech optimism has replaced accountability.
  • AI hype has obscured real economic harm.
  • Job precarity has increased while safety nets weakened.
  • Universal basic income debates have become more abstract and less humane.
  • Protest movements are more surveilled and less protected.
  • Artistic dissent is more easily monetized and neutralized.
  • Resistance culture has been commodified.
  • War spending has grown while social investment shrank.
  • Military budgets have become less scrutinized.
  • Corporate narratives now dominate public imagination.
  • Philanthropic branding has replaced measurable impact.
  • Language loss has accelerated under digital homogenization.
  • AI systems reproduce colonial power dynamics more efficiently.
  • Open-source ideals have weakened under corporate capture.
  • Access to financial systems has become more exclusionary.
  • Refugees face more digital paperwork with less support.
  • Tech literacy is assumed instead of taught.
  • Human dignity is often sacrificed for scalability.
  • Public discourse has become more polarized and less curious.
  • Satire has become necessary just to state obvious truths.
  • Economic “efficiency” has replaced moral reasoning.
  • Media outrage cycles have shortened attention spans.
  • Grassroots movements are underfunded compared to elite nonprofits.
  • Storytelling about poverty has become less intimate and more statistical.
  • AI explanations are more opaque than the systems they replace.
  • Innovation timelines are dictated by capital, not need.
  • Refugee aid increasingly relies on unstable platforms.
  • Cultural credit is rarely returned to source communities.
  • Linguistic diversity is treated as a technical inconvenience.
  • Artists are asked to “adapt” rather than be protected.
  • Economic collapse is normalized as an abstract risk.
  • Public imagination has been narrowed by algorithmic feeds.
  • Corporate tech leaders face less personal accountability.
  • Human-centered design has become a marketing phrase.
  • Consent has been reframed as implied participation.
  • Resistance is easier to mock than to suppress outright.
  • Aid narratives prioritize donors’ feelings over recipients’ needs.
  • Ethical debate lags far behind technical deployment.
  • Language models are rewarded for fluency, not truth.
  • Refugee survival increasingly depends on fragile apps.
  • Care work is undervalued in both tech and economics.
  • Transparency is promised while complexity increases.
  • The poor are studied more than they are supported.
  • Media literacy has declined in the age of infinite content.
  • Tech workers are encouraged to build before asking why.
  • Art is treated as training data rather than human expression.
  • AI narratives obscure human labor behind the curtain.
  • Humanitarian urgency is slowed by bureaucratic friction.
  • Moral clarity is often dismissed as naïveté