By: Lonwabo Mtyeku Photo Credit: Supplied
Seen Here: Mandy-Duncan, HPE-Aruba Photo Credit: Supplied
Johannesburg, South Africa — As South African organisations accelerate their adoption of artificial intelligence, a critical but often overlooked factor is emerging as a defining determinant of success: the strength of underlying network infrastructure.
According to Mandy Duncan, Country Manager of Hewlett Packard Enterprise (HPE) Networking South Africa, many businesses are attempting to scale AI on digital foundations that were never designed to handle its complexity—creating a growing gap between ambition and execution.
AI Momentum Meets Structural Reality
AI adoption across South Africa is accelerating rapidly, with organisations experimenting widely and already reporting productivity gains. Global data suggests companies are seeing an average return of $3.7 for every $1 invested in generative AI, with top performers achieving even higher returns.
Locally, projections indicate AI could contribute 1.2 percentage points to South Africa’s GDP over the next decade. Yet, despite this momentum, a disconnect is becoming increasingly evident.
While many executives are investing in AI, integrating it into core operations remains a significant challenge. Much of the current uptake is bottom-up and fragmented, with teams deploying tools tactically rather than within a coordinated, scalable strategy.
The Network Bottleneck
At the heart of the issue lies network infrastructure.
AI workloads behave fundamentally differently from traditional enterprise applications. They generate massive volumes of internal data traffic, require ultra-low latency, and demand consistent, high-speed connectivity across hybrid environments.
Traditional networks—designed for predictable, linear data flows—are struggling to keep up.
“When networks fall behind, the consequences are immediate,” Duncan notes. “Performance drops, compute resources are wasted, downtime increases, and ultimately, the return on AI investment begins to erode.”
Local Constraints Amplify the Challenge
South Africa’s unique operating environment raises the stakes even further. Persistent skills shortages, infrastructure limitations, and growing regulatory demands complicate large-scale transformation efforts.
For many organisations, a full overhaul of legacy systems is not financially viable, forcing a phased approach to modernisation. While pragmatic, this strategy requires careful planning to avoid compounding inefficiencies.
Rise of AI-Native Networks
In response, forward-looking organisations are shifting toward AI-native networking models—systems designed from the ground up to support AI-driven workloads.
Unlike traditional setups, AI-native networks embed intelligence into the management layer, enabling:
- Real-time monitoring and predictive issue detection
- Automated troubleshooting and reduced downtime
- Enhanced visibility across applications and infrastructure
- Scalable performance for dynamic workloads
This shift is already delivering tangible benefits. In sectors such as hospitality and large-scale events, AI-enabled networks are powering seamless connectivity, personalised digital experiences, and high-density user environments.
From Infrastructure to Strategic Asset
The evolution of networking reflects a broader shift in how organisations view IT infrastructure. No longer a background utility, the network is becoming a strategic enabler of business performance and innovation.
Modular, cloud-based network architectures are also gaining traction, allowing organisations to scale flexibly while avoiding vendor lock-in. This approach is particularly valuable in a skills-constrained market, where automation can reduce reliance on manual processes.
Security and Compliance by Design
As AI expands digital ecosystems, security and compliance can no longer be afterthoughts. Experts stress that networking and cybersecurity must be architected together from the outset to manage growing risks and regulatory scrutiny.
Embedding compliance into the network layer not only strengthens protection but also simplifies governance—an increasingly important consideration as AI adoption accelerates.
A Strategic Inflection Point
South Africa’s AI journey is at a pivotal moment. While early gains are evident, the sustainability of those gains will depend on the strength of the infrastructure supporting them.
“AI initiatives will stall at pilot stage without the right foundations,” Duncan warns. “Network modernisation must be treated as a strategic priority, not a technical afterthought.”
As organisations weigh their next steps, the message is clear: the future of AI in South Africa will not be defined solely by algorithms or data—but by the networks that enable them.
