Tag: South Africa

  • The Digital Accelerant. How Social Media Algorithms Are Deepening South Africa’s Xenophobia Crisis

    The Digital Accelerant. How Social Media Algorithms Are Deepening South Africa’s Xenophobia Crisis

    PRETORIA, 29 May 2026. Days after Africa Day passed in the shadow of boycotts and repatriations, South Africa is confronting an uncomfortable truth about the crisis unfolding within its own borders. On 25 May, the day the continent traditionally affirms its unity, African ambassadors refused to attend South Africa’s official celebrations, citing safety concerns. Nigeria and Ghana had already begun repatriating their citizens. At least seven people were dead. The movements behind the violence, March and March and Operation Dudula, swept through Johannesburg, Pretoria, and Durban, leaving fractured communities, destroyed businesses, and formal diplomatic complaints from Nigeria, Ghana, and Mozambique in their wake. A United Nations warning drew international headlines. The algorithm did not start this fire. But it is fanning it, and it will keep doing so until media algorithms are held accountable, communities are equipped to resist manipulation, and policymakers choose evidence over the applause of the crowd.

     A country that presents itself as the gateway to Africa is being watched with alarm by the very neighbours it claims to lead. The answer to why this is happening now, and with such intensity, lies at the intersection of economic frustration, political orchestration, and a digital ecosystem engineered to reward outrage. South Africa’s 2022 census shows migrants make up just 3.9 percent of the population, roughly 2.4 million people in a nation of 62 million. The country is not being overrun. It is, however, in acute economic pain, and in the age of social media, pain travels fast.

    Legitimate Grievances, Distorted by Design

    The Centre of Artificial Intelligence for Sustainable Development www.caisd.africa , one of the many centres in the continent working to harness the role of technology to achieve development, pinpoint the role technology plays in exacerbating the antipathy without dismissing the frustrations of South African nationals. To do so would be dishonest and counterproductive. The official unemployment rate stood at 32.7 percent in the first quarter of 2026, with more than 8.1 million people without work and youth unemployment reaching a staggering 57 percent. These are lived realities in communities that have spent three decades waiting for economic transformation.

    Against this backdrop, the visible economic presence of foreign nationals creates friction that is psychologically real, even where it is statistically misread. Statistics South Africa data shows that foreign nationals carry an employment absorption rate of 64 percent, compared to 37.7 percent for South African-born workers, and in some townships they own up to 40 percent of informal businesses. A 2025 Human Sciences Research Council survey found that 42 percent of South Africans would welcome no immigrants, while 77 percent agreed that immigrants increase crime. The crime link is not supported by evidence, but these numbers reveal something significant: a large portion of the population has already been persuaded by a narrative. The critical question is who built that narrative, and how was it distributed so effectively?

     The Algorithm: Not the Cause, but the Accelerant

    The social media platforms most South Africans use daily, including Facebook, TikTok, X, WhatsApp and YouTube, are not neutral infrastructure. They are built around a single commercial objective: sustained engagement. Decades of research, including internal studies from Meta, show consistently that the content most likely to sustain engagement is content that provokes anger.

    Anger travels. A video of a foreign national behaving badly, stripped of context, spreads further and faster than any evidence-based article about what immigrants contribute to the economy. In the lead-up to the 2026 protests, populist leaders and influencers circulated incendiary content without context. Those videos were algorithmically rewarded with reach, shared into WhatsApp groups where factchecking is practically impossible, and broadcast live on platforms that amplified these movements before any journalist had assessed whether their claims were truthful.

    Research on South African electoral cycles reveals a consistent and troubling correlation: xenophobic discourse spikes reliably in the approach to local elections, in 2016, 2019, 2020, and now 2026, with local government elections scheduled between November 2026 and January 2027. Xenowatch data confirms the trajectory, with recorded incidents rising from 58 in 2020 to a peak of 110 in 2022, before climbing again to 83 in 2024. The algorithm does not cause xenophobia. But it is extraordinarily effective at timing it, scaling it, and normalising it.

    The Dark Labs: Organised Narrative Operations

    Beyond algorithmic mechanics lies something more deliberate. There is growing evidence of what we at CAISD terms “coordinated narrative architecture”: the strategic seeding of divisive content by small, well-resourced operations, some functioning entirely outside South Africa. These are not spontaneous expressions of public anger. They are manufactured interventions, exploiting the fact that, if enough accounts share the same message within a narrow window, platforms will push it to audiences who were never searching for it.

    This is a documented feature of contemporary information warfare, evidenced in Brexit, in the United States during the 2016 election cycle, and increasingly in African political contexts. When mainstream media then covers these movements without adequately challenging their claims, including the demonstrably false assertion that some youths purported to be undocumented migrants are not entitled to public healthcare and education under South African law, it lends those claims a credibility they do not deserve.

    Evidence, Policy, and the Way Forward

    The World Bank’s studies of South African labour markets have found that immigrants are net contributors to job creation. Foreign-owned enterprises sustain supply chains that employ South Africans. South Africa’s chronically low GDP growth of between 0.6 and 1.3 percent annually is a structural problem rooted in energy infrastructure failure, skills deficits, investor uncertainty, and governance weaknesses that predate every foreign-owned spaza shop in the country. Deporting 2.4 million people will not build a single power station, train one additional nurse, or resolve the Eskom crisis.

    The government has a legitimate mandate to enforce immigration law, process permits efficiently and protect South African workers. What is far more troubling is when the tone of official policy pronouncements begins to track the mood of protests rather than the weight of evidence. That convergence, historically, is where crises cross thresholds they cannot easily come back from.

    CAISD’s call is therefore clear. Social media platforms must be held accountable for algorithmic amplification of xenophobic content, including through multilingual content moderation. Digital literacy must become a civic priority. Counter-narratives must be deployed as strategically as the narratives they counter, because facts alone do not go viral, but stories do. And African governments and civil society must speak with one continental voice, because the diplomatic rupture South Africa is experiencing today is a warning of what silence costs the entire continent.

  • Artificial Intelligence: Why South Africa and the continent can’t afford to import its digital future

    Artificial Intelligence: Why South Africa and the continent can’t afford to import its digital future

    (Pretoria,12 August 2025) The talk in Cape Town was not of a utopian dream, but a critical juncture. At the recent AI-Empowered Summit 7-8 August, where the Centre for Artificial Intelligence and Sustainable Development (CAISD) was in attendance,  a crucial message emerged that Africa is at a crossroads. For Africa, the promise of a US$30-billion economic boon from artificial intelligence is before us, but the path to get there is troubled by the dangers of intellectual and data colonization. The key takeaway, a simple but vital truth, is that to truly benefit from AI, we must build our own. The Centre for Artificial Intelligence and Sustainable Development (CAISD) is staking its claim as a mover in this critical space.

    The summit demonstrated that AI is more than just a tool for tasks; it’s a strategic asset for building predictable and scalable business models. A key insight was that Large Language Models (LLMs) can be categorized into predictive, agentic, and orchestration models. This new understanding suggests that the future of sales lies in a strategic partnership between human intuition and AI-driven insights to create smarter, more empathetic customer connections. In education, AI is essential for bridging the gap between rich and poor students through personalized learning, and offers Africa a unique chance to “accelerate” by building new AI-native systems. Ultimately, AI should be used to offload administrative burdens from teachers, allowing them to focus on developing higher-order skills in students, such as problem-framing and ethical decision-making. However, the summit unearthed a number of uncertainties on where AI will advance to look like.

    The Problem with Importing Silicon Valley’s Brains

    For too long, the narrative has been that we can simply copy and paste models from the Global North.  But as the summit’s sessions hammered home, this is a fool’s errand. Google showcased its latest innovations like Gemini Pro, Project Astra, and creative tools (VO3, Imagen 4), demonstrating how AI is moving from a utility to a personalized, context-aware partner. The analysis of these tools highlights a shift towards democratizing technology, making advanced capabilities in communication, creativity, and productivity accessible to a broader audience. A key takeaway for Africa is the call to action for educational integration and local capacity building, using initiatives like Mom Connect and flood forecasting as models for societal impact. However,  AI models are only as good as the data they are trained on, and a model built for a Californian farm, with its specific soil types and climate, is irrelevant for a maize field in Limpopo. This is why CAISD is laser-focused on developing Africa-centric AI solutions. We must train models on our own data, for our sectors, to ensure they are effective, culturally appropriate, and truly solve our problems.

    Navigating a Regulatory Minefield

    The summit provided a sobering look at South Africa’s legislative preparedness. While businesses and individuals are racing to adopt AI, our regulatory framework is lagging far behind, still governed by the outdated Protection of Personal Information Act (POPIA). This creates a dangerous vacuum, leaving us vulnerable to data breaches and the risk of becoming a “data mining hub” for foreign tech companies. The message from industry leaders and policymakers was clear that without a robust, forward-thinking legal framework, our innovation will be undermined. CAISD is actively positioning itself as a key voice in this conversation, advocating for a collaborative “balancing act” between entrepreneurial innovation and citizen protection. We believe in shaping regulations that enable startups to thrive while safeguarding our society.

    From Buzzwords to the Bottom Line

    The summit stripped away the hype, demonstrating how AI is moving beyond a futuristic concept to a pragmatic tool for tangible returns. In the finance sector, AI is no longer just about automation; it’s about freeing up professionals to become strategic partners, providing higher-value insights. For small and medium-sized enterprises (SMEs), AI isn’t a luxury; it is a competitive necessity. Tools are now accessible and affordable, enabling even a small team to achieve exponential growth and create customer-centric solutions. The transition is also redefining the human-machine relationship. The rise of “AI Agents,” autonomous tools that can perform entire functions, signals a shift where humans are no longer just users but strategic orchestrators. Yet, the summit repeatedly warned against outsourcing our “human spark.” Trust, a central theme, cannot be generated by an algorithm. It is built on a leader’s unique trust, point of view, voice, and experience, which should never be outsourced to AI, by AI should amplify, not replace. The need for prompting skills to get the most out of AI use was also emphasised as critical, while moving from the free version of the apps to the paid version was overemphasised as well.

    A Call to Action for a New Era

    CAISD is not just observing this revolution; we are actively shaping it. Our strategic focus is clear: to develop localized solutions, foster cross-sector partnerships, and build the capacity needed for Africa to lead in this new era. We are committed to piloting human-centred AI projects that prioritize equitable outcomes and advocate for robust, African-relevant ethics and governance frameworks. CAISD believes that the future of Africa’s prosperity lies in harnessing AI for our most critical sectors. For those looking to understand how we can apply these insights to create smarter, more sustainable solutions in agriculture and mining, we urge you to engage with us. The challenge is immense, but so is the opportunity. The time for action is now.