Tech Frontiers

Clarity and insight in the age of AI

Artificial intelligence is changing how economies grow, how societies organise themselves and how people work and learn. Used wisely, it could lift productivity, accelerate discovery and help tackle global problems that have long seemed insoluble. Left unchecked, it could widen inequalities, strain social and political systems, and create risks.

How can the world realise the benefits of AI while containing its harms?

Tech Frontiers, a new initiative by Economist Enterprise, seeks to answer that question. Our mission is to equip business and policy leaders with the clarity, connections and confidence needed to shape the future of AI for social and economic good.

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People and work Rethinking jobs, business and learning as AI changes how people create value

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Safety and trust Keeping AI systems aligned with social good and free from harm

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Governance and policy Shaping the rules, institutions and incentives that will govern the age of AI

Latest insights

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Supported by Rubrik

Insights

Power without control: Rethinking cybersecurity for the age of agentic AI

A survey of more than 800 business decision-makers globally, all deploying AI agents in live environments

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Supported by Infosys
Insights

How Nestlé is finding the recipe for AI

The world's largest food company knows when AI should leave the test kitchen

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from Rubrik
Spotlight

The economics of cyber-resilience

As AI accelerates cyber-attacks, organisations must shift from prevention to resilience. Rubrik CTO Kavitha Mariappan explains why rapid recovery is becoming the defining measure of cyber preparedness.

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from PwC
Spotlight

Lives in Motion: Exploring the Future of Sustainable, AI-Driven Living

Discover how innovation is reimagining our daily routines. From AI-managed energy and precision farming to circular construction, explore a 24-hour journey through a world built around human needs.

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from Rubrik
Spotlight

Resilience in the age of AI

How should organisations approach opportunity, economic uncertainty, and resilience planning in the age of AI?

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Supported by Kyocera Document Solutions
Insights

From intent to action: the leaders’ guide to building AI-powered workplaces

AI ambition is rising fast, but most organisations are not ready. A survey of 639 executives in five global hubs finds gaps in investment, skills and governance. This report sets out those weaknesses and offers practical steps leaders can take now to build trustworthy, AI-powered workplaces.

Enterprise AI in action

An article series on how business leaders are reshaping firms for the age of artificial intelligence.

Across ten articles, we explore three topics: Building AI-ready organisations, on how firms are rewiring themselves to harness the technology; Fostering innovation with AI, on moving from efficiency gains to innovation; and Responsible leadership, on ensuring AI is used lawfully, ethically and transparently.

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Collage with abstract shapes and graphic images of a food production engineer examining a sample in a bottle factory. Behind her, bottles are on a conveyor belt, with the Nestlé logo, tech graphics, and a futuristic tin.

How Nestlé is finding the recipe for AI

The world's largest food company knows when AI should leave the test kitchen

Illustration of UBS headquarters alongside Beatriz “Bea” Martin, Group Chief Operating Officer and President for Europe, Middle East and Africa, with AI-inspired graphics representing the bank’s digital transformation.

How UBS is rewiring for the age of AI

The Swiss bank is pruning old processes, wielding its competitive edge and preparing for AI agents

Building an innovation engine with AI

The aerospace giant treats artificial intelligence as a cognitive partner to its engineers—and tests the technology like an engine before scaling up its use

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The case for responsible AI

How to build responsible AI as an organisational capability, in conversation with experts from UNICC and Frugal AI at Cambridge University

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How DHL delivers responsible AI

The planet’s largest logistics firm shows that delivering AI responsibly depends less on restricting innovation than on structuring it

How E.on is powering up responsible AI

The utility shows that hard-wiring strict limits and minding the wattage of artificial intelligence need not short-circuit the technology

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The frontiers of corporate innovation

How to foster innovation with artificial intelligence, in conversation with Ethan Mollick, a leading thinker on AI in business

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The enterprise AI blueprint

How business leaders should rewire firms for the AI age, in conversation with Erik Brynjolfsson, a leading economist of the digital age

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How LVMH is rewiring the mAIson

The world’s largest luxury group is tying AI to its business goals to improve client experience and craftsmanship

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How IKEA is assembling an AI firm

The world’s largest furniture retailer is applying its flat-pack approach to AI, giving coworkers the pieces and guardrails to build it for themselves

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Key research

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Tech Frontiers | Key Research | Rubrik | Power without control: Rethinking cybersecurity for the age of agentic AI

Supported by Rubrik

Power without control: Rethinking cybersecurity for the age of agentic AI

Agents promise to deliver AI’s productivity revolution. But the capabilities they need — the power to make decisions and take actions, move between data and tooling environments, and interact with other agents — are heightening security risks. With AI spending under mounting scrutiny to deliver, any cyber incidents from reckless deployment could undermine this promising but nascent technology. This Economist Enterprise survey and expert interview programme, supported by Rubrik, reveal how technical leaders, from drug-makers to retail data platforms, law-techs to pension providers, are navigating information security (infosec) in the age of agents.

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Man and woman, looking at digital tablet in the laboratory | Research

Supported by Kyocera Document Solutions

From intent to action: the leaders’ guide to building AI-powered workplaces

AI is no longer a future ambition; it is becoming central to corporate strategy and a benchmark for competitiveness. This research explores how organisations are turning intent into action on AI-powered workplaces across strategic readiness and investment, essential skills and talent development, and culture and ethical governance.

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A glowing light bulb with a computer chip inside | Research

Supported by Delta Electronics

Greening intelligence: Charting the future of sustainable AI

Artificial intelligence is revolutionising business, but at what cost? While AI offers enormous benefits—from optimising supply chains to enhancing productivity—its environmental impact is becoming impossible to ignore. AI’s energy demands are soaring, and yet a clear road map for sustainable AI remains elusive. Economist Enterprise, supported by Delta Electronics, surveyed 608 senior executives—including 362 at C-level or board level—in its latest research programme, Greening intelligence: Charting the future of sustainable AI. The research revealed a paradox: while 69% of executives expect AI sustainability to become more important within the next 12 months, many remain unsure of the right strategies to meet this goal.

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Events

space rocket flying above a planet
October 28th & 29th, 2026 • Orlando, USA

4th annual Space Economy Summit 2026

Maximising returns to Earth: the infinite potential of space

Digital chip
March 10th-11th 2027 | Convene 155 Bishopsgate, London

7th annual AI and Business Innovation Summit

Building an AI-first enterprise

Watch on demand

Thumbnail 2nd annual AI for CFOs

2nd annual AI for CFOs

What impact is the use of AI having on the skills and structure of finance teams? And how high should the co-pilot be allowed to fly before a human takes back control?

Thumbnail Can growth be maintained when the AI novelty wears off

Can growth be maintained when the AI novelty wears off?

When the shiny new toys become less so, leaders must grapple with data quality, skills shortages and organisational readiness.

Thumbnail Agents at the edge: where autonomy is already paying off

Agents at the edge where autonomy is already paying off

What are the lessons from letting AI agents make micro-decisions? How do business leaders expand experiments without losing oversight?

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