Part of AI Futures

AI Strategy Report

Understand how AI could change the conditions in which your company competes

Artificial intelligence is developing quickly enough that many strategic decisions are being made while the underlying technology, economics, regulation and patterns of adoption remain unsettled.

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EXECUTIVEWritten for CEOs, founders, boards and senior strategy leaders

20-YEAR HORIZONCurrent reality through longer-term structural change

STRATEGICBusiness implications, uncertainty and decision consequences

AI FuturesIn preparation

AI Strategy Report

Publication details available on request

The AI Strategy Report is a long-horizon executive report for leaders who need to understand AI as a business force rather than simply as a collection of tools. It connects current evidence with the uncertainties and structural changes that could alter markets, customers, organisational design, cost structures, expertise, infrastructure and competitive advantage over the coming years.

The purpose is to give leadership a stronger intellectual foundation for decisions being made now while remaining prepared for AI futures that may develop very differently from today’s expectations.

The first edition is currently being developed from the Futures Land AI Futures research programme. Publication details, format and ordering information will be added when the first edition is released.

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Why this report

AI strategy is becoming a question about the future shape of the business

Companies are already adopting AI, but the larger strategic consequences may emerge from changes that extend far beyond current productivity gains.

Cheaper and more capable intelligence can alter the economics of knowledge work. AI agents may change customer interfaces and organisational coordination. New competitors can begin with different cost structures and operating assumptions. Infrastructure, energy, regulation and access to advanced models can create new dependencies. Expertise that appears easier to automate may simultaneously become harder to develop.

The report brings these developments into one strategic view so that leadership can consider how they interact rather than examining each in isolation.

EvidenceUncertaintySpeculation

The AI reality now

Begin with what can actually be supported by evidence

01 · GROUNDED

Current reality first

The report establishes a grounded view of current AI capabilities, limitations, adoption, economics and enterprise value before moving into longer-term possibilities.

02 · DISTINCT

Evidence kept distinct

It distinguishes demonstrated developments from emerging evidence, unresolved uncertainty and more speculative possibilities. This creates a stronger basis for strategy than treating every technical announcement or forecast as equally significant.

03 · FOR COMPANIES

What it means for companies

The emphasis remains on what current AI developments mean for companies and which changes would materially alter that assessment.

Seven strategic dimensions

AI reaches the business through several interconnected systems

Capabilities & agents

How AI capabilities are developing, where autonomous action is becoming possible, where human intervention remains important and which changes could materially widen the range of economically useful work AI can perform.

Economics & infrastructure

How falling unit costs, increasing consumption, compute, energy, model access and infrastructure concentration could change the economics of deploying intelligence at scale.

Customers, markets & competition

How AI-mediated discovery, customer agents, new entrants and changing interfaces could reshape distribution, customer relationships, market structure and sources of competitive advantage.

Enterprise value

Where AI is already producing measurable value, why workflow improvements do not automatically become realised economic gains, and what separates experimentation from economically meaningful deployment.

Work, expertise & organisation

How automation and augmentation may affect expertise formation, management layers, organisational structure, decision rights and the future composition of the firm.

Governance, security & trust

How regulation, liability, intellectual property, data, cybersecurity, auditability and trust can influence both strategic risk and the ability to deploy AI effectively.

Futures & discontinuities

How robotics, scientific discovery, geopolitics, infrastructure constraints and other converging developments could create business environments substantially different from a simple continuation of today’s AI trajectory.

Materially different AI futures

The report does not depend upon one forecast of where AI is going

Capability progress is only one variable shaping the future impact of AI. These can develop in different combinations:

CostsInfrastructureAdoptionRegulationPublic responseCompetitive behaviourOrganisational capacity

The report therefore examines significant AI futures rather than assuming one expected trajectory. This allows the reader to consider how strategic conclusions change under different conditions, where decisions remain robust across several futures and which assumptions deserve continued observation.

Questions for leadership

The report connects technological change to strategic decisions

The analysis is organised around questions that increasingly matter to senior decision-makers, including:

Where could AI materially change our existing sources of advantage?
What becomes more valuable if intelligence becomes much cheaper?
Which strategic assumptions depend upon AI progressing at a particular speed?
How could AI agents alter customer discovery, purchasing and distribution?
Which organisational capabilities should we retain even as more work becomes automatable?
Where could platform, model or infrastructure choices create difficult-to-reverse dependencies?
How could AI-native competitors operate with economics fundamentally different from ours?
Which decisions justify commitment now, and where does optionality have greater value?
What evidence should cause leadership to revise its current AI strategy?

These questions remain strategic inquiry rather than promises of simple universal answers. The report provides the analytical foundation for examining them in relation to the reader’s own organisation.

From understanding to decision

Designed to remain useful after the first reading

The report will include practical executive material that helps readers translate the research into decisions, discussion and continued observation.

Executive summaries and key insights

A faster route through the major conclusions for readers who need orientation before deeper reading.

Strategic questions and decision prompts

Material designed to help leadership examine the implications for its own organisation.

AI-readiness self-assessment

A structured way to identify where strategic preparedness may be stronger or weaker and where deeper examination could be useful.

Signals to monitor

Developments worth watching because they could materially strengthen, weaken or alter important assumptions about AI’s business impact.

Action horizons

A way to distinguish immediate decisions from questions requiring preparation, experimentation or longer-term observation.

Who it is for

Written for leaders responsible for consequential choices

The AI Strategy Report is designed primarily for:

CEOs and founders
Board chairs and board members
Strategy and transformation leaders
CIOs and CTOs where technology decisions carry enterprise-wide strategic consequences
Investors and owners considering how AI could alter the position of companies or portfolios

The report assumes a business reader rather than a technical specialist and concentrates on strategic implications rather than model engineering or implementation tutorials.

AI Futures by industry

The strategic consequences become more specific inside individual industries

The common report establishes the broader forces shaping AI’s business impact. Futures Land will also develop sector-specific AI intelligence where the economics, regulation, infrastructure, customer behaviour and competitive dynamics materially change the strategic conclusions.

Finance & FinTechRetail & eCommerceReal Estate, Construction & PropTechMobility & AutomotiveIT, ICT & Digital InfrastructureFashion & LuxuryHealthcare & LongevityFood & AgricultureManufacturing & RoboticsProfessional Services & Knowledge WorkEnergy & InfrastructureTravel, Hospitality & Aviation

Industry-specific reports and related products will be added as they are completed.

Go deeper

The report can become the starting point for company-specific AI foresight

AICompany-specific

AI Strategy Stress Test

Examine how your company’s current strategy and consequential decisions perform across materially different AI futures.

Explore the AI Strategy Stress Test

AIWorkshop

AI Strategy Stress-Test Workshop

Bring a small leadership team together to examine how different AI conditions could alter important strategic choices.

Explore the AI Strategy Stress-Test Workshop

AI Futures. Explore the wider Futures Land research programme across AI capabilities, economics, markets, organisation, governance, industries and longer-term change.

Explore AI Futures →

Built on continuing research. Futures Land maintains continuing research across AI capabilities, economics, enterprise value, markets, organisation, governance and longer-term technological change. Evidence, uncertainty and future possibilities are treated differently so that strategic conclusions remain proportionate to what is actually known.

Explore Sources, Research & Rigour →

AI Strategy Report

What would you decide differently if the AI future facing your company is not the one currently assumed?

The AI Strategy Report is designed to give senior decision-makers a broader basis for answering that question, connecting current evidence with the business conditions that may emerge as artificial intelligence continues to develop.

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