Make AI clarity your competitive advantage

Where AI insight meets real-world impact

You may be a developer of cutting-edge AI tools and systems. You may be an investor looking for the right opportunity or to preserve value. Or you may be a tech-enabled corporate rolling out AI internally or in new products and services.

Wherever you are in the AI value chain, Algorithm to Advantage gives you actionable insights you can turn into your competitive edge. This hub is your resource for our latest thinking across the full AI lifecycle. We identify the forces shaping AI, analyse the emerging risks and opportunities, and break down solutions.

  • Design it

    Design it

    Whether to build, buy or partner. How to structure scalable AI systems, select vendors, integrate with existing systems and recalibrate for evolving intelligence.

  • Power it

    Power it

    How to safeguard investments and navigate the essential elements AI runs on, including energy, data centres and cloud computing – and a fragmented regulatory landscape.

  • Fund it

    Fund it

    How to develop funding strategies, secure capital, structure deals and preserve value.

  • Govern it

    Govern it

    How to embed governance into the design and deployment of AI systems in an ethical, compliant and resilient manner.

  • Put it to work

    Put it to work

    How to tackle the operational and strategic steps of going to market with an AI product, service or business or rolling out AI systems and tools internally.

AI is turbocharging
demand for data centres

97%

of senior executives say AI will drive future demand for data centres

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97% of senior executives say AI will drive future demand for data centres

The proliferation of AI is reshaping capacity requirements and fuelling a global data centre boom.

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80%

of respondents say generative AI is the primary driver of the demand surge

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80% view AI as a key driver of growth

Data centres underpin the seamless operation of modern society, serving as critical hubs that power the digital world. They are not just standalone assets, they form the backbone of broader digital infrastructure, enabling everything from cloud computing to AI-driven services.

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25%

of executives expect 50%+ growth in the global data centre market

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25% of executives expect 50%+ growth in the global data centre market

Organisations racing to deploy AI need scalable, high-performance, AI-ready digital infrastructure – with data centres at the core. 

As AI adoption accelerates, concerns over GPUs, power availability and cooling will sharpen, and AI workloads will shape location decisions. For investors, opportunities will span dedicated AI GPU stacks, advanced cooling systems and upgraded support infrastructure to meet the next wave of requirements.

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USD406bn

projected 2025 revenues for the global data centre sector

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USD406bn revenue projected

According to Partner Anthony Day, the largest driver of investment remains the strong demand for AI, which requires expansive and energy intensive infrastructure. This is leading to the development of hundreds of MW campuses for AI applications, requiring billions of dollars in capital to complete. 

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DLA Piper surveyed 176 senior executives about the impact of AI on data center investment opportunities and related emerging trends. The survey was carried out in Q3 2024.

Intelligence at work

  • AI at work

    As AI reshapes the workforce, how mature is your business?

    Jonathan Exten-Wright looks at how AI impacts workers, the risks this presents for organisations, and why AI maturity is crucial to managing them. 

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  • Cloud sovereignty

    Why your AI is only as sovereign as your cloud

    AI adoption complicates the cloud sovereignty picture for businesses, says Jeanne Dauzier. 

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Six reasons why robotics should be on your boardroom agenda

With robotics set to go mainstream, Gareth Stokes says businesses should be planning for the next wave of technology-driven transformation. 

Ask a senior exec what their top tech priority is right now, and the answer will almost certainly be adopting AI. Generative AI is transforming businesses' operating models, market propositions and workforces. Organisations are scrambling to embrace its powerful capabilities and understand the implications.

But before they’ve fully got to grips with gen AI, its convergence with another transformative technology – robotics – is set to change the game once again.

Four ways global organisations can rise to the AI-enabled cyber challenge

AI is rapidly reshaping the cyber security landscape. As the stakes, and levels of regulatory scrutiny, continue to rise in parallel, Carolyn Bigg, Global Co-Chair of Data Protection, Privacy and Cyber Security details her four priorities for organisations evolving their cyber defence.

Elevate your cyber governance to the board-level

Respond to rapid evolution of cyber threats

Put ID and credential protection at the centre of your strategy

Test recovery alongside reaction

Turn risk into competitive advantage

<p>Our online guide provides an overview of AI laws and proposed regulations across 40+ countries. It highlights key legislative developments, including regulations, proposed bills and guidelines issued by governmental bodies.&nbsp;</p>

Compare AI regulations around the world

Our online guide provides an overview of AI laws and proposed regulations across 40+ countries. It highlights key legislative developments, including regulations, proposed bills and guidelines issued by governmental bodies. 

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Jeanne Dauzier, Partner and Co-Chair of Global AI Practice
The explosion of AI use exacerbates the risks associated with cloud sovereignty, which play out at both national and organisational levels.
Jeanne Dauzier, Partner and Co-Chair of Global AI Practice
Jonathan Exten-Wright, Employment Partner
Senior decision-makers – right up to the boardroom – need to understand the impacts of their AI investments on the workforce, and the related process, legal, regulatory and ethical risks.
Jonathan Exten-Wright, Employment Partner
Gareth Stokes, Partner and Global Co-Chair, Technology
Beyond production lines in industrial manufacturing, robots on the frontline of business operations have – for the most part – been the stuff of science fiction. That's no longer the case.
Gareth Stokes, Partner and Global Co-Chair, Technology
Danny Tobey, Partner Global Co-Chair and Chair of DLA Piper Americas AI and Data Analytics Practice
There's no single regulatory pathway for AI. The real challenge is learning to operate confidently in a fragmented, fast-moving world.
Danny Tobey, Partner Global Co-Chair and Chair of DLA Piper Americas AI and Data Analytics Practice

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