Public access

Introduction

If advanced AI really can expand human knowledge, accelerate science, and reduce scarcity, one of the biggest practical questions is who actually gets access to those capabilities. Consumer markets alone tend to distribute new technologies unevenly at first. Wealthier users buy better devices, faster subscriptions, and specialised services, while poorer communities often arrive later and with weaker tools.

Public institutions could change that pattern. Schools, libraries, clinics, welfare systems, and publicly funded digital services already distribute essential capabilities at population scale. They helped spread literacy, vaccination, electricity access, internet access, and public health information. The same institutions may become major gateways through which ordinary people gain access to AI assistance, AI literacy, and AI-enabled services.

That possibility matters for the broader “AI bloom” vision. If advanced AI only amplifies the abilities of already wealthy firms and highly educated professionals, it could deepen inequality and social fragmentation. But if public systems can make high-quality cognitive tools broadly available, AI could function more like a public capability layer: helping far larger numbers of people learn faster, navigate bureaucracy, access healthcare, and participate more fully in economic and civic life. Whether that happens depends less on the existence of AI itself than on governance, infrastructure, and institutional design. [UNESCO]unesco.orgAI literacy and the new Digital DivideUNESCOAI literacy and the new Digital Divide - A Global Call for…6 Aug 2024 — This divide represents the unequal access, benefits, and… [OECD]oecd.orgDigital divide in educationThe digital divide signifies unequal access to digital technologies, particularly concerning internet connecti…

Why consumer markets favour richer users first

Most digital technologies diffuse unevenly in their early stages, and generative AI shows many of the same patterns. Advanced models may become cheaper to run over time, but the highest-quality systems still depend on expensive infrastructure, paid subscriptions, technical knowledge, and reliable connectivity.

The result is a layered access structure:

Researchers and international organisations increasingly warn that this could create a new “AI divide” rather than closing existing inequalities. UNESCO argues that unequal access to AI systems, infrastructure, and literacy risks reinforcing existing gaps between regions and social groups. [UNESCO]unesco.orgArtificial intelligence in educationAIUNESCO AI in Education guides the ethical use of artificial intelligence to enhance learning, teaching, and assessment globally…

The divide is not only about hardware or internet access. It also involves what might be called “institutional support density”. Affluent users are more likely to have teachers, managers, mentors, IT departments, and professional networks helping them use AI effectively. Poorer users may technically have access to the same chatbot but lack guidance on verification, prompting, privacy, or integration into real educational and economic opportunities.

This distinction matters because AI systems are not equally useful to all users by default. Effective use often depends on judgement, domain knowledge, and the ability to evaluate outputs critically. Research on AI literacy interventions in schools suggests even short periods of structured instruction can significantly improve how students question and verify AI-generated information. [arXiv]arxiv.orgarXivTeaching Students to Question the Machine: An AI Literacy Intervention Improves Students' Regulation of LLM Use in a Science TaskApr…

That creates a risk of compounding inequality. People who already possess stronger educational foundations and institutional support may gain disproportionately larger benefits from AI systems, widening productivity and knowledge gaps over time.

Schools could become mass distributors of cognitive tools

Education systems are one of the clearest examples of how public institutions could spread AI benefits more evenly. Schools already distribute access to books, internet connectivity, teachers, and basic digital skills at national scale. AI tutors and learning assistants could become part of that infrastructure.

The optimistic case is substantial. A capable AI tutor available to every pupil could help explain difficult concepts repeatedly, adapt to different learning speeds, translate materials into multiple languages, and provide support outside classroom hours. In systems facing teacher shortages, AI may also reduce administrative burdens and give teachers more time for direct human support. OECD reports increasingly discuss generative AI as a potentially important educational support technology, especially where staffing pressures are growing. [OECD]oecd.orgOECDEmerging divides in the transition to artificial intelligenceby S Kergroach · 2025 · Cited by 32 — Business adoption of artificial in… [OECD]oecd.orgeducation policy outlook 2024 dd5140e4 enOECDEducation Policy Outlook 202425 Nov 2024 — Teacher shortages have intensified across several OECD countries, making this an urgent pr…

But the distribution question is crucial. Brookings has warned about a future where affluent students receive both AI tools and skilled teachers who know how to use them well, while disadvantaged students receive only low-quality automated systems. [Brookings]brookings.eduai and the next digital divide in educationBrookingsAI and the next digital divide in educationJul 10, 2023 — A new digital divide emerges: where the rich have access to technology…

That means public deployment choices matter enormously. Several governance questions shape whether educational AI reduces or deepens inequality:

Whether AI supplements teachers or substitutes for them

Many experts argue the best outcomes come when AI augments teachers rather than replacing them. OECD guidance stresses that generative AI can magnify both good and bad pedagogy, depending on how it is deployed. [OECD]oecd.orgcomponent 7Education Policy Outlook 202425 Nov 2024 — Teacher shortages have intensified across several OECD countries, making this an urgent priori…

A school system using AI mainly to cut staffing costs could produce lower-quality education for poorer students. A system using AI to expand personalised support while retaining strong human teaching could widen access to high-quality learning.

Whether schools teach AI literacy directly

Public education may become the main place where citizens learn how AI systems work, fail, and manipulate attention. UNESCO increasingly frames AI literacy as part of democratic participation and social inclusion rather than merely a technical skill. [UNESCO]unesco.orgAI and technologies in educationThrough our digital and AI competency frameworks, UNESCO prioritizes human agency, critical thinking, and… [UNESCO]unesco.orgAI literacy and the new Digital DivideUNESCOAI literacy and the new Digital Divide - A Global Call for…6 Aug 2024 — This divide represents the unequal access, benefits, and…

That includes:

Without that layer, access alone may not translate into empowerment.

Whether public systems negotiate collective access

Large public education systems can sometimes negotiate national licences, shared infrastructure, or open-access tools that individuals could not afford independently. This resembles earlier public procurement models for textbooks, vaccines, and broadband infrastructure.

If governments support open educational AI systems or publicly accessible tutoring platforms, advanced cognitive assistance may become more universal than purely commercial rollout would allow.

Libraries may become AI access points for adults

Public libraries are often overlooked in AI discussions, but historically they have been among the most important institutions for equalising access to knowledge.

Libraries already provide:

AI systems may extend this role. A library could eventually provide citizens with access to advanced research assistants, translation tools, legal guidance systems, educational tutors, and AI-supported accessibility technologies without requiring expensive personal subscriptions.

This matters especially for adults outside formal education systems. Many workers displaced or disrupted by automation may need retraining long after they leave school. Libraries are one of the few public institutions that remain open across the life course.

There are already signs of libraries adapting toward AI literacy and guidance roles. Emerging research on library-sector AI literacy shows demand for training not just in technical use, but also in ethics, bias, and responsible deployment. [arXiv]arxiv.orgarXivTeaching Students to Question the Machine: An AI Literacy Intervention Improves Students' Regulation of LLM Use in a Science TaskApr…

The broader significance is civilisational as much as economic. If advanced AI dramatically expands humanity’s available knowledge, libraries could evolve from repositories of static information into public gateways for navigating abundant machine-generated expertise.

That may sound futuristic, but the underlying institutional logic is familiar. Public libraries historically reduced the knowledge gap between wealthy elites and ordinary citizens. AI systems may create a new version of that challenge at much larger scale.

Clinics and welfare systems could make AI assistance more universal

Healthcare and welfare systems may become another major distribution channel for AI benefits, especially in countries with large public sectors.

In optimistic scenarios, AI systems help:

If advanced AI contributes to major medical acceleration over coming decades, public health systems could also become one of the main mechanisms through which those gains diffuse to ordinary people rather than remaining luxury services for the wealthy.

But here too, deployment choices matter. AI systems integrated into public healthcare can improve access, but they can also intensify exclusion if poorly designed. Automated welfare systems, predictive risk scoring, or flawed eligibility algorithms may disproportionately harm already vulnerable populations.

This creates a central tension in the AI bloom debate. The same technologies that could help scale expertise to billions of people could also scale bureaucratic mistakes, surveillance, and administrative rigidity.

Public trust therefore becomes critical. Citizens may accept AI assistance in healthcare or welfare only if systems are transparent, accountable, and subject to meaningful human oversight.

Public infrastructure may matter more than consumer apps

Many discussions of AI focus on chatbots and subscription products. But long-run distribution may depend more on infrastructure-level decisions.

Electricity, roads, sanitation systems, and broadband networks mattered because they became foundational public capabilities upon which other activities depended. Some policymakers increasingly discuss AI infrastructure in similar terms.

That can include:

The idea is not necessarily state control of AI development. Rather, it is that societies may need public layers beneath commercial markets if advanced intelligence capabilities are to become broadly accessible.

The OECD has also begun discussing “digital commons” approaches for generative AI infrastructure and public-interest access. [OECD.AI]oecd.aidigital commons for generative artificial intelligence29 Sept 2025 — This call for projects aims to create and make accessible digital commons across the entire generative AI value chain to f…

Historically, many transformative technologies became socially widespread only after some combination of public investment, regulation, and universal-service provision. Railways, electricity, schools, healthcare systems, and the internet all followed versions of this pattern.

AI may prove similar. Consumer markets may create the technology first, while public institutions determine how widely its benefits spread.

The strongest objections to the public-access model

The optimistic view of public AI access faces several serious objections.

Governments may lack technical capacity

Many public institutions already struggle with ageing software systems, procurement failures, cybersecurity problems, and limited technical staff. AI systems may increase administrative complexity faster than governments can adapt.

Poor implementation could waste money while delivering low-quality services.

Public systems can become tools of surveillance

Critics worry that state deployment of AI may normalise large-scale monitoring and automated decision-making. Welfare systems, policing, immigration enforcement, and education analytics already raise concerns about privacy and bias in some countries.

A world where AI systems mediate large parts of public life could increase state visibility into personal behaviour unless strong safeguards exist.

Commercial firms may still dominate the underlying infrastructure

Even if governments distribute AI services, many systems may still depend on infrastructure controlled by a small number of technology firms. Cloud computing concentration, chip supply chains, and frontier-model ownership may limit how independent public systems can become.

This means “public access” does not necessarily equal democratic control.

Public provision can become second-tier provision

One historical danger is the emergence of two-track systems:

• premium AI for elites;
• restricted, slower, heavily filtered systems for everyone else.

If wealthy users continue receiving significantly better cognitive tools, public provision could soften inequality without eliminating it.

Governance choices may shape whether AI abundance becomes broadly shared

The broader AI bloom argument depends not only on whether advanced AI becomes powerful, but on whether societies build institutions capable of distributing its benefits widely enough to support human flourishing at population scale.

That makes governance questions central rather than secondary.

Several choices appear especially important:

The long-term stakes are unusually large. If AI substantially accelerates science, medicine, education, and economic productivity over coming decades, unequal access could produce societies with widening cognitive and institutional gaps. But if advanced AI becomes embedded in strong public systems, it could help distribute expertise far more widely than previous eras of civilisation managed.

In that sense, public institutions may determine whether AI behaves more like a luxury technology or more like literacy itself: a capability that eventually becomes part of the foundation of ordinary human life. [UNESCO]unesco.orgArtificial intelligence in educationAIUNESCO AI in Education guides the ethical use of artificial intelligence to enhance learning, teaching, and assessment globally… [OECD]oecd.orgdesigning safe ai systems for education23 Jan 2026 — How generative AI can support personalised learning at scale, with safety, AI literacy and human judgement at the heart of…

Endnotes

1. Source: unesco.org
   Title: AI literacy and the new Digital Divide
   Link: https://www.unesco.org/ethics-ai/en/articles/ai-literacy-and-new-digital-divide-global-call-action
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   UNESCOAI literacy and the new Digital Divide - A Global Call for...6 Aug 2024 — This divide represents the unequal access, benefits, and...

2. Source: oecd.org
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3. Source: oecd.org
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   OECDEmerging divides in the transition to artificial intelligenceby S Kergroach · 2025 · Cited by 32 — Business adoption of artificial in...

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5. Source: arxiv.org
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7. Source: oecd.org
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    29 Sept 2025 — This call for projects aims to create and make accessible digital commons across the entire generative AI value chain to f...

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Additional References

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   Nils Adriansson's PostNew data on generative AI use by individuals show that more than one-third of people across the OECD used generativ...

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   PUBLIC definition and meaning | Collins English DictionaryPublic is used to describe statements, actions, and events that are made or don...

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   Public FirstA new report by Public First explores Meta's role in supporting Sub-Saharan Africa's digital transformation. The report looks...

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    a: exposed to general view: open b: well-known, prominent c: perceptible, material 2. a: of, relating to, or affecting all the peopl...

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