Beyond Borders — Insights
Source: Beyond Borders: Technology, AI, and the Future of Internationalization, Carlos Vargas, Societās Partnerships S.A., September 2025.
For thirty years, internationalization was driven by geopolitics and money. The force now reshaping it more deeply than either is technology. It is doing so faster than most universities are governing it.
The internet, advanced communication tools and artificial intelligence are rewriting cross-border academic engagement. They change how research networks form, where knowledge is produced and who controls the infrastructure it runs on. The promise is a more open and multipolar academic world. The risk for the Global South is a widening digital divide, dependency on foreign platforms and an AI layer built on foreign assumptions. The future depends on choices universities are making now, often without realising they are choices at all.
The following seven observations outline this shift. The full report develops each in depth, including the emerging-technology frontier and the strategic framework for action.
Read the full report
The complete analysis, the three technological layers, the emerging-technology frontier, and the strategic framework, fully referenced.
Go to ReportRun the Stewardship Classifier
Diagnose your institution's approach to cross-border collaboration and digital sovereignty, evaluating data-residency risk and open-source alignment for board-ready recommendations.
Go to ClassifierTechnology has become a more durable force than policy or funding
Internationalization has always answered to geopolitics and economic strategy. Those forces set the rules, built the leading institutions and structured the global system of knowledge. The convergence of digital technologies now exerts a more profound and lasting impact than any single policy or funding initiative. Unlike a visa rule or a budget cycle, it does not reverse with the next election.1 A government can reopen a closed funding stream in a year. It cannot undo the structural dependence that a decade of platform adoption builds.
This permanence makes technology a leadership question. Policy and funding remain visible, debated and contested. The technological shift is quieter and largely unexamined, reshaping the terrain more decisively. The institutions that treat their technology choices as strategic decisions will govern their own direction a decade out.
¹ Beyond Borders (2025), §"The Technological Imperative"; Leiner et al., "A Brief History of the Internet," 2009.
Abundance and exclusion are happening at the same time, to different people
By the end of 2025 the world will have created, shared and consumed more than 200 zettabytes of data. At the same time, roughly 31 percent of humanity remains entirely offline.2 Computing capacity now runs to a billion trillion calculations per second, collapsing climate simulations and biomedical modelling from years into hours. Meanwhile, many universities in the Global South still contend with unreliable connectivity and inconsistent power.
The technology that promises to democratise knowledge is deepening the gap between those who produce with it and those who can only consume it. For a university, the strategic question is which side of this divide its researchers and students are positioned on. They must ask whether anyone is deliberately steering that position.
² Beyond Borders (2025), §"Data Abundance, Unequal Access"; Statista, "Internet traffic worldwide," 2024.
The digital divide is not about access. It has three layers, and the deepest is about outcomes
Treating the digital divide as a connectivity problem is a costly mistake. The divide has three layers: infrastructure, literacy and outcomes.3 The inequality in what is actually achieved through technology use is where the real damage sits. Even with access and devices, technology gets used for consumption rather than developmental work if digital literacy and pedagogical training are absent.
Connecting a campus and distributing laptops can make it look like the problem is solved while the outcomes gap remains untouched. The foundational conditions for productive use are absent. The divide magnifies existing offline inequalities. Socio-economically disadvantaged institutions stay less prepared for digital transformation. Closing this gap is a systemic task involving curriculum, teacher training and sustained funding. It requires more than a procurement exercise that ends when the hardware arrives.
³ Ragnedda, The Third Digital Divide, 2017; UNESCO ICT Competency Framework, 2019.
Sovereignty built from the ground up
Evidence that dependency can be overcome comes from grassroots and open-source initiatives. They have built sovereign capacity where the market would not.
Masakhane is a movement of African researchers building the foundational datasets and ethical AI models needed for the continent's more than 2,000 languages. It directly counters an AI layer trained almost entirely on the languages and assumptions of the Global North.4
DHIS2, an open-source health-information platform developed through the Health Information Systems Programme, is used in more than 80 countries. Governments, the EU and global health organisations use it. It is built through participatory design and local capacity-building.5
SciELO and Redalyc are publicly funded open-access platforms carrying the scholarship of a region where roughly 75 percent of Latin America's scientific output originates. They exist outside the commercial publishing system.6
Each initiative was built by the community it serves on open and replicable foundations. They meet needs that foreign platforms ignored or priced out of reach. Sovereign capacity does not require waiting for a national programme or a foreign vendor. It can be built, joined or funded from the institutional level.
⁴ Masakhane, masakhane.io; Nekoto et al., "Masakhane: Machine Translation for Africa," 2020. ⁵ Health Information Systems Programme, DHIS2; Braa & Sahay, Health Information Systems in the Global South, 2012. ⁶ Packer, "The SciELO model for open science," 2021; AmeliCA.
"Algorithmic colonialism" is the digital divide's next, deeper form
The arrival of AI threatens to widen the divide. Institutions in the Global South often lack the infrastructure for AI-driven education, risking a future as consumers of tools built in the Global North. This dynamic is algorithmic colonialism, where Western-centric AI frameworks dominate global educational practice.4 The bias is economic and epistemic. Embedding AI literacy into curricula is necessary. Doing it uncritically imports models culturally and linguistically skewed toward the contexts that built them.
The difficulty concerns assumptions rather than hardware. An AI system trained on one part of the world's data and norms will misread every other part. A curriculum built around it transmits that misreading at scale. Universities must develop culturally responsive frameworks and protect the diversity of knowledge. They need to balance the efficiency of automated tools against the risk of flattening the world's epistemic variety.
⁴ Beyond Borders (2025), §"Artificial Intelligence: Global Equity"; Kwet, "Digital colonialism," 2019.
Most universities are responding to AI reactively, and that is its own risk
Alongside structural challenges sits institutional unreadiness. Many universities have met AI in a fragmented and reactive way. Fixating on plagiarism rather than developing a comprehensive strategy results in a widening AI skills gap. Faculty and students feel unprepared for an AI-integrated world.5 Treating AI primarily as a threat to academic integrity consumes the attention that strategy requires.
The answer is pedagogical evolution. In an AI-assisted learning model, students are trained to use AI ethically and evaluate its outputs critically. They treat it as a collaborator to be supervised rather than a substitute to be banned. Institutions that move from reaction to strategy close the skills gap and address larger questions about governance and equity.
⁵ Beyond Borders (2025), §"Artificial Intelligence: Global Equity"; Kasneci et al., "ChatGPT for good?", 2023.
The next frontier collapses distance, but only for those positioned to use it
The emerging layer of technology promises to make physical location nearly irrelevant to collaboration. It will also widen the gap for anyone not ready for it. AI-native 6G networks anticipate peak rates of 1 terabit per second and sub-millisecond latency. They enable holographic telepresence and real-time shared virtual workspaces. Extended Reality opens virtual science labs and immersive cultural training.6 This allows global collaboration without the cost of travel.
Each of these capabilities assumes connectivity, computing and institutional readiness. A frontier that collapses distance for well-resourced institutions can deepen the divide for those solving for reliable power. Emerging technology is the same equity question arriving in a more advanced form.
⁶ Beyond Borders (2025), §"The Next Frontier"; Saad, Bennis & Chen, "A vision of 6G wireless systems," 2019.
Technology is the foundational force now, but it is not a panacea
Technology is the foundational force shaping global academic engagement. It has dismantled geographical barriers that defined the field for a century.7 It introduces the persistent digital divide, the threats of data colonialism and the unresolved challenges of AI.
Techno-optimism that ignores the divide will widen it. Techno-pessimism that rejects the tools will forfeit the opportunity. Universities must commit to bridging the divide, building frameworks for data sovereignty and fostering a human-machine partnership. The goal is an equitable and impactful internationalization.
⁷ Beyond Borders (2025), §"Conclusion"; Couldry & Mejias, The Costs of Connection, 2019.
Beyond Borders analyses how the internet, advanced communication technologies and AI reshape internationalization. It examines the implications for equity, sovereignty and the future of the global university.