2026 Morocco, Nigeria and Kenya CXO Priorities Survey: Key AI trends, challenges and priorities

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their technology? Intelligent

Which of the following infrastructure brands come to mind first when you think about AI-related discussions? Select top 2 *

Vertiv
Schneider Electric
Huawei
ABB
Legrand
Eaton
Rittal
Socomec
STULZ
Delta

Who is typically your first point of contact when initiating a discussion about AI technology? *

Systems integrators/Value Added Resellers
Consultants
Infrastructure / OEM vendors
IT Vendors (Dell/HP/ etc)

Which factor matters most to you when choosing an infrastructure provider. Select 2 *

End-to-end solution portfolio (power, racks, cooling, services, and support)
Reliable and comprehensive after-sales services
Infrastructure design and consulting expertise
Alignment with leading chip manufacturers
Other (Please specify)

What level of investment do you expect to allocate to AI infrastructure and deployment? *

Less than $1M
$1M–$10M
$10M–$50M
More than $50M

If you plan to deploy AI infrastructure, what is your expected timeframe? *

Already deploying AI infrastructure or within the next 6 months
6–12 months
1–3 years
More than 3 years

What are your main AI adoption barriers? Select 2 *

Skill Gaps: Lack of internal expertise or difficulty hiring AI talent.
Infrastructure: Legacy systems that cannot handle high-density AI workloads.
Cost: High initial investment for hardware, software and energy.
Data Governance: Concerns over data privacy, security and ethics.
Other (Please specify)

How prepared is your current IT infrastructure to support AI workloads? *

Very Prepared: Our current power, cooling and compute capacity are optimised for AI.
Moderately Prepared: We can support small AI tasks but need upgrades for larger scaling.
Under-prepared: Significant infrastructure investment is required to support AI.
Not Prepared: We currently lack the necessary power density or cooling capacity.
Other (Please specify)

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