Amy Webb
Strategy cycles run on three-year horizons. The technologies reshaping markets operate on ten-year ones. Without a methodology for reading early-stage signals, organisations discover the future after competitors have already acted on it.
Amy Webb is the founder of the Future Today Strategy Group and the researcher who turned strategic foresight into a quantitative discipline – giving organisations a rigorous, data-driven method for identifying which emerging technologies demand a response, and when.
Full Profile
Why organisations work with Amy Webb
- Webb’s foresight methodology is not scenario-planning by another name – it applies quantitative modelling to emerging signals, giving boards an evidential basis for long-horizon technology decisions that is defensible rather than intuitive.
- Her annual Tech Trends Report tracks more than 700 emerging technology and science trends and is downloaded more than one million times a year; few advisory practices produce intelligence infrastructure at comparable scale or breadth.
- The Big Nine named and defined the “G-MAFIA” framework – the six American and three Chinese corporations Webb argues hold structural control over AI’s trajectory. Audiences gain a durable analytical vocabulary for a problem most organisations are still describing in generic terms.
- Her advisory relationships with the White House, European Union, United Nations, and World Economic Forum are ongoing, not project-based – her understanding of how governments are approaching AI governance and technology risk is primary source, not aggregated.
- Her latest concept, “living intelligence” – the convergence of artificial intelligence, biotechnology, and advanced sensors into a single technology supercycle – gives senior leaders a framework for thinking beyond current AI strategy before the convergence forces reactive decisions.
Biography highlights
- Founder and CEO, Future Today Strategy Group; ranked #3 most influential management thinker globally by Thinkers50 (2025)
- Adjunct Professor of Strategic Foresight, NYU Stern School of Business; Visiting Fellow, Oxford University’s Saïd Business School; former Nieman Fellow, Harvard University
- Author of The Big Nine (2019) – longlisted for the Financial Times & McKinsey Business Book of the Year, winner of the 2020 Gold Axiom Medal – and The Signals Are Talking (2016), winner of the Thinkers50 RADAR Award and 2017 Gold Axiom Medal
- The Genesis Machine (2022, co-authored with Andrew Hessel) named by The New Yorker as one of the year’s best nonfiction works; books translated into 23 languages
- Life member, Council on Foreign Relations; founding member, WEF Strategic Foresight Advisory Board; member, WEF Global Risks Board; AI Governance Alliance partner
- Contributor to Harvard Business Review and MIT Sloan Management Review; TED Talk on algorithmic thinking viewed more than 8 million times, translated into 32 languages
Biography
The gap between sensing that a technology will reshape a sector and knowing when – and how – to act is where most long-range strategy breaks down. Amy Webb’s work is built around closing that gap. As founder and CEO of the Future Today Strategy Group, she pioneered a quantitative modelling approach to strategic foresight: one that applies the analytical rigour of economic forecasting to the identification of emerging technology signals, rather than relying on narrative scenarios or trend decks.
Her books have given organisations specific frameworks for understanding the structural dynamics of technology change. The Big Nine named the six American and three Chinese corporations – the “G-MAFIA” and BAT – that Webb argues hold disproportionate control over AI’s development, and traced the geopolitical and commercial consequences of that concentration. The Genesis Machine, co-authored with biotechnologist Andrew Hessel, examined the organisational and governance implications of synthetic biology before the technology entered mainstream strategy conversations. Both were recognised externally: The Big Nine was longlisted for the Financial Times and McKinsey Business Book of the Year; The Genesis Machine was named by The New Yorker as one of the year’s best nonfiction works.
Her access to the rooms where technology governance is being decided is direct and ongoing. As an advisor to the White House, European Union, and United Nations, and as a founding member of the World Economic Forum’s Strategic Foresight Advisory Board, Webb’s work informs global technology policy – not as periodic input but as sustained engagement. Her annual Tech Trends Report, tracking more than 700 emerging technology and science developments, is downloaded more than one million times a year.
Ranked third on Thinkers50’s 2025 list of the world’s most influential management thinkers, Webb teaches strategic foresight at NYU Stern’s MBA programme and holds a visiting fellowship at Oxford’s Saïd Business School. Her current framework, “living intelligence” – the convergence of artificial intelligence, biotechnology, and advanced sensors – maps the technology supercycle she argues is already underway. For organisations whose long-range strategy begins and ends with AI, it is a substantive challenge to the scope of their thinking.
Key speaking topics
- Quantitative strategic foresight
- Artificial intelligence and the global technology power landscape
- Living intelligence: AI, biotechnology, and advanced sensors
- Technology supercycles and long-horizon planning
- Geopolitics of emerging technology
- Futures methodology and organisational decision-making
- Synthetic biology and the next frontier of disruption
Ideal for
- C-suite and boards developing long-range technology and competitive strategy
- Chief Strategy Officers and innovation leads rethinking their approach to uncertainty and futures planning
- Government, regulatory, and policy audiences responsible for technology governance
- Risk, investment, and scenario-planning teams assessing the strategic implications of AI and converging technologies
Audience outcomes
- A clear analytical method for distinguishing which emerging technology signals warrant a strategic response – and which represent noise
- Understanding of the “living intelligence” framework and why the convergence of AI, biotechnology, and advanced sensors represents a broader challenge than current AI strategy typically accounts for
- A structural vocabulary for the global AI power landscape – particularly the dynamics between major US and Chinese technology actors – that simplifies a complex geopolitical issue for non-specialist leaders
- Familiarity with the Tech Trends methodology: how to scan, filter, and prioritise signals across a large and rapidly evolving technology landscape
- Practical frameworks for building a long-horizon foresight capability internally, rather than depending on periodic external consultancy
Talks
A strategic framework for leaders who must manage current operational demands while preparing for long-term technological disruption.
Key takeaways:
- How to apply the core tools of quantitative foresight to organisational strategy, including signal identification and prioritisation
- A structured approach to rethinking risk and recognising the thresholds at which action on emerging technologies becomes necessary
- How technologies including AI, autonomous systems, and bioengineering are shaping near- and long-term scenarios across industries
A rigorous, data-driven examination of where AI development is heading – beyond the current generative AI cycle – and what it means for organisations building strategy around it.
Key takeaways:
- The structural forces driving AI development, including the role of the major US and Chinese technology players identified in the “G-MAFIA” and BAT frameworks
- What the near-term trajectory of large language models, AGI research, and autonomous systems means for competitive strategy
- How to build organisational preparedness for AI milestones that are not yet visible in mainstream technology coverage
A custom presentation placing an organisation’s industry-specific technology trends within Webb’s broader long-range foresight framework, delivered in 5-, 10-, 15-, or 20-year scenario formats.
Key takeaways:
- How emerging technologies relevant to the audience’s sector fit within larger convergence patterns, including the “living intelligence” supercycle
- Scenario-based views of how industries from finance, healthcare, and media to energy, governance, and transportation may be reshaped
- Specific signals to monitor and the decision thresholds at which strategic responses become necessary
An exploration of how the energy demands of AI infrastructure are reshaping geopolitics, industrial strategy, and the competitive landscape across sectors.
Key takeaways:
- How the intersection of computation and energy supply is already determining which nations and organisations will lead in the AI era
- The strategic implications for sectors from manufacturing and finance to agriculture and defence as AI energy consumption scales
- What leaders need to understand – and act on now – to position their organisations in a world where intelligence itself runs on physical infrastructure
Videos
Testimonials
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