How roles, skills, and organizations change when intelligence becomes abundant.
Helping professionals and organizations thrive in the age of AI.
I translate complex changes in AI and data into practical choices for careers, organizations, and society, connecting technology with the people and decisions it affects.


One Step Ahead with AI
Learning, Unlearning, and Relearning
A practical career roadmap for professionals adapting to an AI-driven world. The book provides hands-on frameworks for integrating AI into work, building adaptable skills, and moving from apprehension to advantage.
Technology is easy. People are complicated.
My work sits at the intersection of AI, data, careers, sustainability, and human decision-making.
Turning information into action without losing judgment, context, or accountability.
Designing technology around people rather than asking people to adapt to broken systems.
Building the habit of learning, unlearning, and relearning throughout a career.
Understanding externalities and designing digital systems that account for wider consequences.
Making AI useful while preserving transparency, traceability, and responsibility.
Contributing to global conversations on technology and society.
Research and perspectives on synthetic data, planetary health, governance, and prosperity within environmental boundaries.
Fawad Qureshi at the World Economic Forum
Visit my WEF author profile and explore my published contributions.
View author profile →Emerging Technology Solutions for Planetary Health
A World Economic Forum report examining how technology can support healthier planetary systems.
Read the publication →Prosperity Within Planetary Boundaries
How science, technology, and governance can work together to support sustainable prosperity.
Read the article →Synthetic Data: The New Data Frontier
A WEF report exploring the opportunities, risks, and governance considerations surrounding synthetic data.
Open the report →Ideas in conversation.
Selected talks and panels on climate mobility, responsible AI, data interoperability, sustainable technology, and telecommunications.
▶Climate Change and Human Mobility
Presented in partnership with the UN International Organization for Migration, this session examines how climate change is reshaping human mobility across the Eastern and Horn of Africa, and how data can support earlier, more targeted interventions.
▶Building Responsible Enterprise AI
This Dublin Tech Summit 2025 panel moves beyond experimentation to examine the risks, governance choices, and operating practices required to build resilient and responsible AI systems in the enterprise.
▶Data Interoperability and Better Questions
A discussion of why connecting data is only part of the challenge. In an age when answers are increasingly easy to generate, identifying the right question remains the harder and more valuable skill.
▶Future Focus: Technology Trends for 2025
A fireside conversation based on Future Focus research, exploring the major technology shifts shaping 2025 and what they mean for business leaders, professionals, and the wider technology industry.
▶Designing AI for Sustainability
Recorded at Abu Dhabi Sustainability Week, this session explores the intersection of artificial intelligence, sustainability, and energy efficiency, with a focus on designing AI to support climate goals rather than intensify resource consumption.
▶The Telecom Data Cloud
A panel on the collaborative AWS and Snowflake Telecom Data Cloud, and how operators can modernize data infrastructure, break down organizational silos, and create new value from their data assets.
Long-form conversations on AI, data, climate, and change.
Selected podcast discussions on staying relevant, climate migration, human-centered AI, and the technical debt that slows data transformation.
Beyond the Buzzwords: AI, Bias and Staying Relevant
A wide-ranging conversation about the psychology of AI adoption, the myth of machine intelligence, hallucinations, deepfakes, and why staying relevant depends less on knowing everything than on learning to ask better questions.
Confronting Climate Migration with Data
With Lisa Lim Ah Ken, this episode explores how climate change affects migration, how the UN International Organization for Migration supports safe and orderly mobility, and how predictive analytics can help identify risks and target assistance earlier.
MWC24: Humanising AI
A Mobile World Congress conversation on making AI more human-centered, connecting rapid technical progress with trust, judgment, accountability, and the realities of how people and organizations adopt new technology.
Getting Generative AI Ready: Technical Debt in Data Platforms
A discussion with Snowflake and GlobalLogic about how legacy architecture and technical debt constrain generative AI programs, and what organizations need to modernize before AI can move from isolated pilots to dependable production systems.
Practical learning for responsible technology.
Four LinkedIn Learning courses covering sustainable AI, cloud strategy, ESG, and sustainability auditing.
Sustainable AI for Developers
Strategies, techniques, and best practices for reducing the environmental impact of AI while improving efficiency and performance.
Including Sustainability in Your Cloud Strategy
Bring environmental considerations into cloud architecture, measurement, governance, and business decision-making.
Microsoft Cloud for Sustainability
ESG and the Future of Business. Understand sustainability data, ESG reporting, and the role of digital platforms in organizational transformation.
Conducting a Sustainability Audit
Use Microsoft Sustainability Manager to organize emissions data, perform an audit, build reports, and track sustainability goals.
100,000+ learners across 13 languages
Accessible courses built for professionals, leaders, developers, and teams around the world.
A technology interpreter focused on practical impact.
Fawad Qureshi is an experienced Chief Technology Officer who advises C-level executives on AI adoption, data literacy, and workforce transformation. His international career spans more than 20 years and 50 countries.
His LinkedIn Learning courses on AI and sustainability have reached over 100,000 learners and have been translated into 13 languages.
Build a career that evolves with AI rather than waiting to be disrupted by it.
Audiobook version coming soon.