AI and technology

Reimagining enterprise performance for an AI-powered, platform-led era.

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The point of view

AI is changing the role of technology in enterprise performance.

As AI, cloud, and software continue to converge, value will not come from adding more technology to the business. It will come from making sharper choices about where intelligence belongs, where platforms can scale, and how investment can create measurable performance.

Gartner projects worldwide end-user spending on public cloud services to exceed $1 trillion in 2027, while IDC projects global AI infrastructure spending to surpass $1 trillion by 2029i. Organizations that pull ahead will treat AI and technology as strategic choices, not disconnected investments.

  1. Gartner, Cloud Will Become a Business Necessity by 2028, 2023; IDC, AI Infrastructure Spending Caps Historic Year at ~$90 Billion in Q4 2025; 2029 Spending to Eclipse $1 Trillion, 2026.

Shaping the AI-powered enterprise

Four shifts are changing how technology creates and scales value.

1.

Intelligent platforms replace fragmented programs.

Fragmented digital initiatives are giving way to platforms that connect data, partners, capabilities, and customers. The result is a stronger foundation for reinvention, not just another layer of technology.

2.

AI becomes an enterprise capability.

AI is moving from isolated use cases into core processes, decisions, customer experiences, and ways of working. Leading organizations are building AI as an enterprise capability, not a feature.

3.

Ecosystems change where value is created.

Cloud, software, and platform ecosystems are shifting technology from an internal cost base to a source of growth, margin, and market position.

4.

Trust becomes part of performance.

As AI and data become central to performance, cybersecurity, resilience, and responsible AI become central to trust. Without trust, intelligent systems cannot scale.

The decisions that define AI and technology leadership

AI and technology leadership depends on sharper choices about where to focus, how to invest, and how to scale.

Where to play

Choose the AI, platform, and ecosystem positions that create the strongest path to value, and identify the legacy positions that no longer deserve capital or focus.

How to invest

Allocate capital across AI, cloud, software, data, and cybersecurity with portfolio discipline, not budget inertia.

How to embed intelligence

Build AI and data into the processes, decisions, and operating models that determine how work gets done.

How to scale trust

Embed cybersecurity, resilience, and responsible AI into the foundations of the business so intelligence and trust grow together.

Why Strategy&

Strategy& partners with CEOs, boards, and digital, data, and technology leaders on the choices shaping the next era of enterprise value. We bring together strategy, technology, and industry insight so AI and digital ambition translate into measurable impact.

1
Industry-grounded technology expertise

We bring AI and technology expertise into the realities of each industry, where value pools, regulation, operating models, and competitive dynamics differ.

2
Strategy through enterprise impact

We connect technology choices to measurable outcomes across growth, productivity, customer experience, cost, risk, and resilience.

3
Decisions first, capabilities second

We help leaders make the strategic choices first, then build the capabilities, governance, and operating model required to make them real.

How we help

Building the AI-powered enterprise

We help leadership teams set the strategy, build the foundations, and scale the capabilities required to turn AI and technology into measurable enterprise performance.

AI strategy and enterprise-wide adoption

Set the AI agenda, prioritize the use cases that matter, and build the data, governance, and operating model required to scale.

Platform and ecosystem strategy

Define where to play, how to partner, and how to build platform-based business models that create lasting value.

Cloud and technology architecture

Design cloud, software, and data architectures that support speed, resilience, and scalable performance.

Software-led growth and monetization

Use software, data, and AI to create new offerings, revenue streams, and customer relationships.

Digital operating model and governance

Redesign operating models, decision rights, and investment governance so technology choices translate into measurable results.

Cybersecurity, resilience, and responsible AI

Embed security, resilience, and responsible AI into the enterprise so intelligent technologies can scale safely and with trust.

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Dany Karam

Partner, Strategy& Middle East

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Dr. Christian Kaspar

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Winston Nesfield

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Martijn Peeters

Strategy& Leader, Southeast Asia, and CEO, PwC South East Asia Consulting

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Andreas Späne

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Wonseok Yoo

Partner and Strategy& Leader, South Korea, Strategy&

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Olusegun Zaccheaus

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