So this is interesting, I was analyzing the book and asked what the answers were to Enshitification (the fabric of the tech universe ripping). But instead of giving Doctorow's list, it gave mine, after 2 years of running Dusoma.org - AI for Humanity.

• Design technology starting from the needs of the poorest users, not the richest ones.
• Build AI tools that work on cheap phones, low bandwidth, and unstable power.
• Pay people for the data, language, and stories they contribute to AI systems.
• Treat linguistic diversity as core infrastructure, not a “nice to have.”
• Fund translation tools for African and under-resourced languages directly.
• Make consent explicit, understandable, and revocable in data collection.
• Create ethical data standards led by affected communities.
• Shift humanitarian tech funding toward direct-to-wallet aid.
• Reduce bureaucracy between donors and recipients.
• Make digital literacy a funded service, not an assumed skill.
• Publish clear, public audits of philanthropic foundations.
• Use satire and art to expose power when facts alone fail.
• Build open-source tools that can’t be quietly privatized later.
• Separate AI hype from real, measurable human outcomes.
• Center refugees and poor people as co-designers, not test subjects.
• Compensate artists whose work trains AI models.
• Create alternative economic models for creatives beyond platforms.
• Replace performative DEI language with structural equity.
• Fund small, local organizations instead of prestige nonprofits.
• Make technology explainable to non-technical users.
• Build systems that fail safely for vulnerable populations.
• Use AI to simplify access to benefits, not create more paperwork.
• Redirect military and corporate subsidies toward human survival.
• Demand transparency from billionaires and media owners.
• Use financial tools to pressure corporations, not just protest them.
• Treat privacy as a human right, not a tradeoff.
• Design AI personas and intakes that reflect real human complexity.
• Build trust through honesty about limitations, not marketing.
• Prioritize food, water, shelter, and safety over novelty.
• Measure success by dignity preserved, not users acquired.
• Use technology to shorten aid timelines from months to minutes.
• Teach people how systems work so they can challenge them.
• Build cultural memory into tech, not just efficiency.
• Resist algorithmic flattening of language and identity.
• Create funding models that reward truth, not virality.
• Support whistleblowers and internal critics, not punish them.
• Use AI as a collaborator, not an authority.
• Make ethics review continuous, not a one-time checkbox.
• Build platforms that allow people to leave without penalty.
• Replace extractive research with reciprocal partnerships.
• Treat aid recipients as citizens, not beneficiaries.
• Slow down deployment when harm is plausible.
• Design systems for repair, not replacement.
• Make power visible so it can be challenged.
• Keep humans in the loop where harm is irreversible.
• Refuse normalization of mass precarity and poverty.
• Use storytelling to restore empathy at scale.
• Align technology incentives with human survival.
• Build for liberation, not optimization.
• Insist that technology serve humanity, not the other way around.