Magzhan Kenesbai

Magzhan Kenesbai is Acting Managing Director and a Board Member of AIQ, with extensive experience in managing and deploying capital, asset management, and private equity across emerging markets. He specializes in driving growth, enhancing market participation, and increasing shareholder value across companies and funds in emerging markets. Prior to joining AIQ, Magzhan was Senior Director and Chief of Staff at Presight, where he focused on strategic investments, strategy, and business development in Central Asia. Magzhan is a Board Member of the Samruk Kazyna - Presight Joint Venture, which aims to accelerate digital transformation in partnership with Samruk-Kazyna JSC, a US$70 billion sovereign wealth fund. As an investment professional, Magzhan has held several senior positions throughout his career. He served as Chairman of the Board and a Board Member at leading asset management companies in Central Asia. In these roles, he was instrumental in driving growth, managing portfolios, and overseeing mergers and acquisitions. As Vice-President at Verno Pe Research LLP, Magzhan played a pivotal role in deploying investments in Central Asian infrastructure projects, collaborating with sovereign funds from the Middle East and Kazakhstan. His earlier career includes strategic positions in private oil and gas companies and investment offices, as well as leadership at Tsesna Astyk, a leading agriculture company. Magzhan holds a Bachelor of Science degree from Babson College in Massachusetts, USA.

Session Overview

Tuesday, 5 November

All Sessions

14:00

Strategic Conference ICC Hall 14:00 - 15:00

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The power of AI for the energy transition

AI is contributing to the transformation of the energy sector through its utilisation of large data sets. According to BNEF’s net-zero scenario modeling “every 1% of additional efficiency in demand creates $1.3 trillion in value between 2020 and 2050 due to reduced investment needs”, with AI set to help achieve this by enabling greater energy efficiency and flexible demand. Machine learning, deep learning and generative AI are improving operations effectiveness, providing insights for lowering emissions, anticipating mechanical and supply chain malfunctions and driving substantial energy efficiency gains. However, scaling AI from successful pilots to broad implementation brings its own challenges. AI uptake and the use of associated high energy demand data centres - which are growing globally in number by the day (200TWh power is needed to meet global data centers demand according to Goldman Sachs) - are on track to outpace the power available to run them. What will be needed, both in the AI application and securing access to new energy supplies, to deliver on the promise of AI and its contribution to the energy transition?

Attendee insights:

Understand how AI is transforming business operations, its opportunities and challenges related to data centers and energy consumption needs.

Monday, 4 November

15:00

Energy ai Conference Energy AI Theatre 15:00 - 15:15

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Innovation showcase: The role of AI in transforming the energy sector

In this talk, we’ll explore how advanced AI technologies—particularly Generative AI (GenAI) and other AI models—are enabling Energy companies to transform, drive efficiency, and unlock new value while meeting global climate targets and the growing demand for Energy.

This session will also shine a light on some of the key challenges faced during this transformation—from scaling AI effectively across diverse operational landscapes to ensuring data integrity and security. Highlighting specific use cases, it will detail how recent developments in AI are not only optimising production and operational workflows but are also revolutionising the entire energy value chain.