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A panel discussion titled "What Will Digital Enterprises Look Like in 2035?", held as part of the Cairo ICT 2026 conference, explored the anticipated future of business alongside the rise of Artificial Intelligence, digital agents, and robotics. Tech leaders and experts reviewed transformations in organizational structures, the future of cybersecurity, and the evolution of digital infrastructure.

Organizational Transformation and the Rise of "Verified Agents"

Eng. Mohamed Kiwan, CEO of Egypt Trust, emphasized that by 2035, companies will no longer operate under traditional organizational models, citing a decline in workforce numbers and an increased reliance on AI agents. He explained that the upcoming phase necessitates adopting digital identity and e-signatures to establish a business environment powered by Verified Agents to manage and govern operational decisions and financial commitments.

Cybersecurity and the Selective Return to Paper

For his part, Shady Bakhour, Head of B2B Unit at Canon Middle East, presented a perspective on integrating technology with traditional tools. He noted that escalating cybersecurity risks and data breach threats might push sensitive sectors and government institutions toward a selective return to paper documents to secure highly confidential records.

The Digital Transformation Journey and Telecommunications Evolution

Ahmed Khallaf, Executive Vice President at Damen Electronic Payments, highlighted that comprehensive digital transformation began taking shape in 2015, accelerated by electronic payments and smart solutions. In the same context, Mohamed Talaat, CTO of Enterprise Business at Huawei Egypt, pointed to the dramatic leap in internet speeds—jumping from 28 Kbps to 500 Mbps—which reshaped content consumption patterns and streaming platforms.

Documenting Tech History to Build Future Strategies

Omar Alawi, Chief Information Security Officer at e-finance, stressed that forecasting the digital future requires documenting the technology journey and building comprehensive knowledge bases of technological shifts, utilizing historical data analysis to draft growth scenarios for enterprises through 2050.