AI Value Leak | Flint International Middle East

THE AI VALUE LEAK

KSA & MENA Telecom Executive Benchmark 2026

About the Study

Telecom operators across KSA and MENA are investing significantly in Artificial Intelligence across network operations, customer experience, cybersecurity, enterprise services, automation and digital transformation. But investment does not automatically translate into value.
This executive study examines what happens between:
AI deployed → AI scaled → AI trusted → AI acted upon → value realised
The study seeks to understand where AI value is being created, where it is being lost, and what separates AI experimentation from measurable business impact.

Who Should Participate?

This study is intended for senior telecom executives and leaders responsible for:

Section A — Executive Profile

3. What type of organisation do you represent?

4. How would you describe your organisation's scale?

Section B — Follow the AI Money

Q1. Where will the next AI investment go?

Imagine your organisation has 100 units of new AI investment available over the next 24 months. How would you allocate those 100 units? Allocate exactly 100 points.

Section C — The AI Value Funnel

Q2. How much AI actually becomes value?

Think about the 10 most meaningful AI initiatives undertaken by your organisation. Approximately how many: (/10)

Section D — The 30-Day AI Test

Section E — Where Does Value Really Leak?

Section F — The Human Middleware Question

Q5. How much work still depends on people?
How much operational work still depends on people manually interpreting information from one system and deciding what should happen in another?

Section G — What Does One Incident Really Cost?

Q6. Can your organisation calculate the true cost of an incident?
Can your organisation calculate the true end-to-end cost of a major service incident, including: • Engineering time • NOC effort • Field intervention • Vendor effort • Customer impact • Service recovery

Section H — Automation or Autonomy?

Section I — The 2028 Question

Section J — What Is Actually Stopping AI?

Section K — The AI Ownership Test

Section L — Fix First or Automate First?

Q11. How does your organisation approach AI-enabled transformation?
Which statement comes closest to your organisation's current approach?

Automate first. We automate existing processes rapidly and optimise them later. Redesign first. We redesign the process first and then automate. AI identifies the opportunity. We use AI to identify where the process itself should change. AI-led execution. We replace traditional workflows with AI / agent-led execution. Different approaches. Different parts of the organisation are following different approaches.

Section M — The Next Productivity Frontier

Section N — AI Agents: Tool or Digital Workforce?

Q13. What will AI agents become?
By 2030, which statement do you believe will be closest to reality?

AI will remain primarily an employee productivity tool AI agents will execute specific operational tasks AI agents will manage complete workflows Humans will supervise fleets of specialised AI agents Large parts of telecom operations will become autonomous AI agent expectations are currently overstated

Section O — The Telco-to-Techco Test

Q14. Where will future revenue come from?

Assume your organisation wants to generate SAR 1 billion of new revenue beyond traditional connectivity. Where do you believe this growth will come from?

Section P — The Big Strategic Bet

Q15. Which company will be most valuable by 2030?
Which of the following companies do you believe will create the greatest long-term value?

Company A Owns the best network. Company B Runs the lowest-cost autonomous network. Company C Owns the strongest customer and enterprise relationships. Company D Turns network, cloud, data and AI into a digital platform. Company E Becomes the trusted AI and technology partner for governments and enterprises.

Section Q — The KSA Advantage

Section R — The Sovereign AI Question

Q17. How important will sovereign AI become?
In five years, how important will sovereign AI be when selecting telecom AI architecture in KSA/GCC?

Mostly irrelevant — economics and performance will dominate Important only for selected sensitive workloads Important for government and critical infrastructure Important for most core telecom workloads A fundamental architectural requirement

What will drive this most?

Section S — The Failure Pre-Mortem

Section T — The One-Problem Question

Q19. What has AI still NOT solved?
What is the single most expensive operational problem in telecom that you believe AI has still NOT solved?

Section U — The CEO Headline

Q20. Complete the sentence.
“By 2030, AI will have fundamentally changed telecom because…”

Final — Participation & Follow-Up

F1. Would you like to receive the final AI Value Leak Executive Benchmark?

Yes No

F2. Would you be interested in a confidential executive discussion of the findings?

Yes No

F3. May the study team contact you regarding the study?

Yes No

Data Center Facilities (DCF)

Data Center Design & Consulting

DevSecOps & RPA

Data Center Facilities (DCF)

Data Center Design & Consulting

DevSecOps & RPA

Data Center Facilities (DCF)

Data Center Design & Consulting

DevSecOps & RPA

Data Center Facilities (DCF)

Data Center Design & Consulting

DevSecOps & RPA

THE AI VALUE LEAK

KSA & MENA Telecom Executive Benchmark 2026

About the Study

Who Should Participate?

Q1. Where will the next AI investment go?

Imagine your organisation has 100 units of new AI investment available over the next 24 months. How would you allocate those 100 units? Allocate exactly 100 points.

Q2. How much AI actually becomes value?

Think about the 10 most meaningful AI initiatives undertaken by your organisation. Approximately how many: (/10)

Q14. Where will future revenue come from?

Assume your organisation wants to generate SAR 1 billion of new revenue beyond traditional connectivity. Where do you believe this growth will come from?