Make AI clarity your competitive advantage

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Where AI insight
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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 — identifying the forces shaping AI, analysing the emerging risks and opportunities, and breaking down solutions across five key areas:

  • Design it: build, buy or partner; structure scalable systems and integrate with confidence
  • Power it: safeguard the infrastructure AI runs on, from data centres to cloud to regulation
  • Fund it: develop funding strategies, structure deals and preserve value
  • Govern it: embed ethics, compliance and resilience into AI design and deployment
  • Put it to work: go to market with AI or roll it out effectively inside your organisation

AI, cybersecurity and navigating the regulatory landscape

  • Klaas Knot, Former President Dutch Central Bank

    Digital money and the future of finance

    How are stablecoins, tokenised deposits and central bank digital currencies reshaping payments? Klaas explores the interplay between private and public digital money, AI's transformative impact on financial services – from tailored client advice to risk management – and the emerging risks regulators are watching.

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  • Drew Bagley, CPO CrowdStrike

    How AI is reshaping cybersecurity

    Drew Bagley, Chief Privacy Officer at CrowdStrike explores how AI is reshaping cybersecurity, the challenge of navigating data sovereignty across jurisdictions, and key findings from CrowdStrike's European threat report on why identity security should be a top priority.

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  • Jason Hill, UK CEO Reply

    The biggest challenges for AI projects

    AI initiatives come with unique challenges that set them apart from traditional technology projects. Jason Hill, UK CEO of Reply, looks at why agentic AI deployments need to be treated more like experiments than linear projects, with a hypothesis-driven approach tied to clear business outcomes.

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  • Jeanne Dauzier, DLA Piper

    Agentic AI: legal risks, liability and the question of scale

    Agentic AI is generating a lot of buzz, but few companies are implementing it at scale just yet. Jeanne Dauzier, Partner at DLA Piper, explores the legal considerations that come with deploying AI agents, from liability when autonomous systems make unexpected decisions to ensuring transparency and guardrails are in place.

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Power is a
critical barrier
to data centre growth

99%

of senior executives describe power issues as prevalent or very prevalent in data centre decision-making

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99% of senior executives describe power issues as prevalent or very prevalent in data centre decision-making

The power capacity of data centres has increased significantly over time, driven by the rapid growth in demand for digital services, cloud computing, AI and big data.

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98%

of senior executives expressed concerns over power availability and reliability for data centres

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98% of senior executives expressed concerns over power availability and reliability for data centres

Location decisions are increasingly dictated by power availability rather than proximity to customers or talent. Grid bottlenecks are redrawing the map of viable data centre markets.

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44%

of senior executives highlight access to energy as the principal barrier to data centre investment

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44% of senior executives highlight access to energy as the principal barrier to data centre investment

The surge in AI-driven demand is creating near-term pressure to secure sufficient power quickly and efficiently – a challenge that will only intensify.

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50%

of senior executives said their top priority is improving the efficiency of data centre technologies

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50% of senior executives said their top priority is improving the efficiency of data centre technologies

And just under 50% expressed a preference for greater collaboration with energy providers.

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DLA Piper surveyed 176 senior executives on the forces driving global data centre investment, including the critical role of energy and power availability.

Implementing AI: From employment law to regulatory navigation

  • Paul Allen, DLA Piper

    Why 95% of generative AI projects fail – and how to beat the odds

    Generative AI is entering the "trough of disillusionment," with research suggesting most projects don't deliver. Paul outlines three essentials for success: getting your data house in order, targeting high-value use cases first, and implementing governance that manages legal, ethical and regulatory risks from the start.

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  • Jonathan Exten-Wright, DLA Piper

    AI and employment law: Navigating workforce risks in global rollouts

    AI rollouts carry significant employment law risks, from algorithmic bias to jurisdictional penalties. This video explores why employment lawyers must be involved from day one, covering workforce impact assessments, discrimination concerns, and the emerging governance challenges of agentic AI and "digital coworkers."

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  • Danny Tobey, DLA Piper

    Navigating the global patchwork of AI regulation

    With over a thousand AI laws proposed at state level in the US alone last year, no single regulatory pathway exists. This video explores how multinationals can navigate sovereign AI approaches, finding common ground across regimes while accommodating local differences through smart lawyering and technology-driven compliance frameworks.

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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.

Read full article

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.

Read full insight

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. 

Access guide
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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