Mohammedia – AI Everything MEA Egypt 2026 will take place in Cairo on February 11-12, bringing together technology companies, banks, startups, regulators, and investors as AI becomes more tightly woven into economic activity.
Organized by GITEX GLOBAL and hosted by Egypt’s Ministry of Communications and Information Technology alongside the Information Technology Industry Development Agency, the event is expected to draw participants from more than 60 countries.
The timing suggests Egypt is moving forward with its National AI Strategy 2025–2030, which treats AI as a long-term economic and strategic priority rather than a niche technology.
The plan focuses on expanding access to computing power, building locally trained models, improving data governance, and accelerating use across sectors.
Official estimates linked to the strategy put the potential GDP contribution from AI at US$42.7 billion over the coming years.
That policy push has been accompanied by a sharp rise in investment. Foreign direct investment jumped from US$10 billion in 2023 to US$47 billion in 2024. Startup funding has followed a similar trajectory, with Egyptian companies raising US$330 million in the first five months of 2025.
Together, the figures point to growing confidence in the country’s technology and digital services market.
Finance sits near the centre of these changes. At AI Everything MEA Egypt, discussions within the AI Digital Finance track will focus on how banks, payment providers, and fintech firms are integrating AI into everyday operations
Automated risk assessment, fraud detection, and AI-based customer service systems are now common tools as institutions respond to higher transaction volumes and more demanding regulatory requirements.
In emerging markets, these technologies are closely tied to financial inclusion, the spread of digital payments, and the management of cross-border flows, where trust and oversight remain persistent challenges.
Beyond operational efficiency, the use of AI in finance is also reshaping how risk and trust are managed at the system level. Machine learning models are increasingly used to monitor transaction anomalies, support compliance processes, and strengthen anti-money laundering and know-your-customer controls.
As financial activity becomes more digital and cross-border, these systems play a growing role in helping institutions meet regulatory expectations while maintaining speed and scale, particularly in markets where oversight frameworks are evolving alongside rapid fintech adoption.
For enterprise leaders, a newly introduced Chief AI Officer programme will host closed-door sessions focused on deployment, governance, and alignment with national strategies, highlighting how finance, policy, and AI are increasingly converging in Egypt’s digital economy.
