The key technology issues shaping CTO’s decisions in 2026—Convening Qhala’s CTO’s End-of-Year Mixer

Project Description:

As Qhala’s Snr. Tech Product Marketing Manager, I facilitated community-building initiatives that bring together technology leaders to share insights, address critical challenges, and shape the future of tech leadership in Africa. The CTOs End Year Mixer brought together CTOs from across Kenya’s tech ecosystem to discuss what actually matters as we close out 2025 and head into 2026.

In the tech marketing world, understanding your audience means listening first. That’s exactly how we approached this event.

My Approach:

I started by asking all attending CTOs one question: “What key issues do you need addressed as we close out 2025?” Their submissions formed the foundation of three breakout sessions covering Talent Management & AI, Cybersecurity Cloud & Infrastructure, and Operations, Product & AI.

Key Insights:

The discussions surfaced practical solutions CTOs can use immediately:

Talent Management & AI

1. AI-generated CVs are rising—but challenges remain.
   ATS-heavy recruitment and outsourced pipelines still struggle to distinguish polished AI-generated CVs from genuine skill. Technical screening remains essential.
2. AI enhances talent—it doesn’t replace it.
   Many experienced engineers struggle to describe complex work. AI helps refine and present their experience more clearly.
3. Human mentorship is still irreplaceable—especially for remote teams.
   Pairing senior engineers with emerging talent drives performance, growth, and retention.
4. Auditing and reporting are becoming central to talent development.
   Structured performance insights help teams build resilience and track progress effectively.

Cyber Security, Cloud & Infrastructure

Fun fact: AWS South Africa is now faster than London, unlocking lower-latency Africa-based deployments.

➡️ No budget for security? Start with 2FA.
Two-factor authentication remains the easiest and most effective baseline protection.

➡️ Inference-time computing is the new paradigm.
Instead of sequential computation, AI models respond instantly to user behaviour—powering GenAI responses, recommender systems, and TikTok-style personalization.

Africa’s infrastructure landscape is evolving fast, creating new opportunities for builders across the continent.

Operations, Product & AI

1. AI on hardware is already real.
   Teams are using analytics to interpret battery performance and lifetime data—proving AI can deliver tangible operational value.
2. Kenya has an AI Strategy, not an AI Policy.
   A strategy outlines intent; a policy defines enforceable rules. This distinction shapes adoption across industries.
3. AI-augmented applications need clean, unified data.
   Most databases remain fragmented and inconsistent. Scaling AI requires structured, reliable data and ultimately a central data model that different systems can build on.

We closed with one reflection for CTOs: Which AI use cases in your organisation have delivered real ROI—beyond the hype?

Outcomes:

• Created a trusted space for CTO  leaders to share real challenges and practical solutions
• Surfaced actionable insights on talent acquisition, infrastructure security, and AI implementation
• Strengthened Qhala’s positioning as a convening force for technology leadership in Africa
• Built momentum for deeper community engagement in 2026

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