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Alexander Sukharevsky

Senior PartnerLondon

Global leader of QuantumBlack, AI by McKinsey, helping organizations redefine business models and improve performance through the responsible use of AI and technology

Alexander is the global leader of QuantumBlack, McKinsey’s AI arm. Under his leadership, QuantumBlack has expanded within the firm to emerge as a recognized leader in applied artificial intelligence, helping organizations undergo end-to-end transformation.

Alexander is passionate about transforming traditional sectors with technology and working with ecosystems of start-ups and entrepreneurs to bring the latest solutions to clients. He helps organizations harness the power of AI and other technology to accelerate and transform the way they think, operate, and disrupt. His client work spans industries and geographies, helping organizations redefine their business models and improve performance through the responsible use of AI and technology.

In addition to his QuantumBlack work, Alexander is also a leader of McKinsey’s research programs into areas such as generative AI, future technologies, and the use of technology for the common good. He publishes his research frequently, including several reports on the future of work and the influence of the Internet, information, and communications technology on economies. Alexander also serves on McKinsey's Technology Council, which gathers top global technology leaders and McKinsey experts to assess and to track trends in business and technology.

Prior to his leadership role with QuantumBlack, he led McKinsey’s Technology Practice in Europe, the Middle East, and Africa.

Published work

Time to place our bets: Europe’s AI opportunity,” McKinsey Global Institute, October 2024

The key to accelerating AI development? Pragmatism plus imagination,” McKinsey & Company, August 2024

LLM to ROI: How to scale gen AI in retail,” McKinsey & Company, August 2024

The state of AI in early 2024: Gen AI adoption spikes and starts to generate value,” McKinsey & Company, May 2024

Strategic alliances for gen AI: How to build them and make them work,” McKinsey & Company, May 2024

A generative AI reset: Rewiring to turn potential into value in 2024,” McKinsey & Company, March 2024

Beyond the hype: Capturing the potential of AI and gen AI in TMT,” McKinsey & Company, February 2024

The organization of the future: Enabled by gen AI, driven by people,” McKinsey & Company, September 2023

The state of AI in 2023: Generative AI’s breakout year,” McKinsey & Company, August 2023

Technology’s generational moment with generative AI: A CIO and CTO guide,” McKinsey & Company, July 2023

Four essential questions for boards to ask about generative AI,” McKinsey & Company, July 2023

The economic potential of generative AI: The next productivity frontier,” McKinsey & Company, June 2023

What every CEO should know about generative AI,” McKinsey & Company, May 2023

Exploring opportunities in the generative AI value chain,” McKinsey & Cpmpany, April 2023

The state of AI in 2021,” McKinsey & Company, December 2021

How boards can help digital transformations,” McKinsey & Company, June 2021

Grocers can fuel growth with advanced analytics,” McKinsey & Company, June 2021

The five core IT shifts of scaled agile organizations”, Mckinsey & Company, April 2021

Disruption & Uncertainty. The State of Grocery Retail 2021”, McKinsey & Company, March 2021

How a Russian retailer is building a next-generation grocery business,” McKinsey & Company, March 2021

Driving digital change during a crisis: The chief digital officer and COVID 19,” McKinsey & Company, April 2020

Digital @ Scale: The Playbook You Need to Transform Your Company,” McKinsey & Company, September 2019

Mathematics of the luxury market in Russia,” McKinsey & Company, June 2018

A new reality for the Russian consumer industry,” McKinsey & Company, September 2017

Podcast

Driving digital change during a crisis: The chief digital officer and COVID-19,” McKinsey & Company, September 2020

Education

INSEAD
MBA with distinction

Tel Aviv University
BA, business administration (magna cum laude)
BSc, computer science (magna cum laude)