Data Centres: From Tenants to Titans

Data Centres: From Tenants to Titans

Key takeaways

  • The balance of power has flipped: developers and operators, not hyperscalers, now hold the upper hand – the real scarcity is power and land.
  • US data centre rents rose from about $120/kW/month in 2021 to nearly $190 by 2024 – scarcity economics, not inflation.
  • 10-, 15- and 20-year contracts are the norm again, making data centres look and finance like traditional infrastructure.
  • The model is shifting from multi-tenant colocation to single-tenant mega-campuses of hundreds of megawatts.

Five years ago, few imagined that data centres — those humming, power-hungry fortresses of servers — would become one of the most coveted infrastructure assets on the planet.

But that’s exactly what has happened.

The balance of power has flipped. Once, hyperscalers like AWS, Google, and Microsoft dictated lease terms and pricing. Today, it’s the developers and operators holding the upper hand — because the real scarcity isn’t capital anymore. It’s power and land.


💡 The Golden Ticket

A leading infrastructure investor recently called power access “a golden ticket” — and it’s hard to disagree.

In the age of AI and hyperscale cloud growth, a secured grid connection is everything. You can raise billions and hire world-class engineers — but if you can’t plug into the grid, you can’t scale.

The numbers tell the story. In 2021, U.S. data centre rents averaged around $120 per kW per month. By 2024, that figure climbed over 50%, nearing $190 per kW. London saw similar jumps. This isn’t inflation — it’s scarcity economics.

Those who control powered land now hold the real bargaining power.


🧭 From Hyperscaler Leverage to Developer Control

For years, hyperscalers pushed for short 5- to 7-year contracts and flexible termination rights. They called the shots.

Not anymore.

Tight grid capacity and exploding AI demand have turned the tables. Tenants who once wanted short leases are now regretting it — there’s simply no capacity left, and renewals cost far more.

Today, 10-, 15-, and even 20-year contracts are the norm again. Banks and institutional lenders love it: predictable cash flows, long-dated contracts, and high-credit counterparties. Data centres are starting to look, feel, and finance like traditional infrastructure.


🏗️ From Colocation to Mega-Campuses

The model has evolved dramatically. What used to be multi-tenant colocation sites is becoming a network of massive, single-tenant campuses — hundreds of megawatts each — built around one hyperscaler.

That shift allows developers to recover rising capex costs tied to liquid cooling, AI training, and high-density workloads. Interestingly, many hyperscalers are now co-funding upgrades, treating them as tenant improvements, just like in commercial real estate.

It’s a more mature, symbiotic model — one that aligns incentives and strengthens partnerships.


🤝 Creative Structures and Shared Risk

Deal structures are also becoming more sophisticated.

When Meta financed its $26 billion data centre campus in Louisiana, the project reportedly included a “residual value guarantee.” In other words, if Meta exited early and the asset value dropped, investors would be compensated.

A few years ago, such clauses were rare. Now they’re becoming standard as both sides seek to balance long-term risk and reward.

Developers are also designing hybrid facilities — capable of switching between air and liquid cooling — and adopting flexible layouts that can evolve with technology. As Brookfield’s Sikander Rashid noted, “A chip’s useful life is about five years — your return on capital should match that.”


🏦 Core Capital Enters the Game

Not long ago, core and core-plus funds avoided data centres, seeing them as too technology-driven. That’s changing fast.

Brookfield, Arjun Infrastructure Partners, and Interogo recently invested in a €3.6 billion European data centre portfolio with 12-year average contracts and inflation-linked escalators — exactly the type of structure core infrastructure funds love.

One industry insider summed it up perfectly:

“If you’ve got powered land near population centres, your barrier to entry is the grid connection itself.”

In other words: the moat isn’t a brand or a logo — it’s megawatts.


⚙️ The Moat Built on Megawatts

Every road in this story leads back to power.

If forecasts hold true, most major data centre hubs will hit grid constraints within a decade. That physical bottleneck — not capital — will define value.

It’s why long-term leases are back. It’s why banks are lending more confidently. And it’s why investors view data centres as durable, inflation-protected infrastructure.

Operators like DigitalBridge are also moving to triple-net leases, where tenants manage their own power and cooling systems. That shift drives efficiency and attracts even more institutional capital.


🌍 The Future: Flexible, Long-Term, and Infra-Grade

So, are data centres infrastructure? The debate is over.

They’ve earned their place alongside utilities, ports, and energy assets — long-term contracts, critical grid dependence, and predictable returns.

But beyond the financials lies a bigger truth: the digital economy runs on electrons and geography. Whoever controls the megawatts controls the growth.

AI will only intensify this. The next generation of winners will be those who think like infrastructure investors but move like tech builders — fast, flexible, and focused on power resilience.

The moat is no longer theoretical. It’s physical. It’s grid-connected. And it’s here to stay.


✍️ The digital economy’s backbone isn’t code — it’s concrete, copper, and current. The investors who understand that first will shape the next decade of infrastructure.

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#DataCentres #InfrastructureInvesting #AIInfrastructure #DigitalTransformation #Sustainability #EnergyTransition #RealAssets #PrivateEquity #InfraFunds #Hyperscale #CloudComputing #PowerMarkets #GridCapacity #DataEconomy #LongTermCapital

https://www.linkedin.com/pulse/data-centres-from-tenants-titans-andris-gailitis-qjobf

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AWS, Azure, and Google Cloud vs. Everyone Else: What Truly Makes Them Different

AWS, Azure, and Google Cloud vs. Everyone Else: What Truly Makes Them Different

Key takeaways

  • AWS, Azure and Google Cloud control over two-thirds of the global market – but hyperscalers are nearly always more expensive than European managed hosting or bare-metal models.
  • Under the US CLOUD Act, American providers can be compelled to hand over data even when it is stored in Europe – a growing sovereignty risk for EU enterprises.
  • The real trap is lock-in: proprietary services, egress fees and multi-year contracts make leaving far harder than joining.
  • If your business is truly global, hyperscalers win; if it is regional, a specialist provider may be more effective.

When people speak of “the cloud,” they tend to refer to the big three: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Together, they control more than two-thirds of the global market. But they are not the whole picture. And smaller providers — Oracle, IBM, and Alibaba to regional and niche players like OVHcloud, Hetzner, Scaleway, DigitalOcean, and Wasabi — are continuing to expand by providing something different.

So what actually distinguishes the hyperscalers from others? And what might lead organizations — predominantly in Europe — to hesitate to double down on the big three?


1. Scale and Global Reach

  • AWS, Azure, GCP:
  • Other providers:

👉 Tip: If your business is truly global, hyperscalers prevail. If you are region-specific, a specialist provider may be more effective.


2. Breadth of Services vs. Complexity

  • AWS, Azure, GCP:
  • Other providers:

👉 Lesson: Big clouds do mean you can be innovative but can also be dependent. Smaller providers give you focus and flexibility.


3. Pricing and the Illusion of Cheap

  • AWS, Azure, GCP:
  • Other providers:

💡 Key Takeaway: Hyperscalers are nearly always more expensive than managed hosting or hardware-for-rent models in Europe. Renting bare-metal servers with managed services can deliver similar performance at a lower TCO — without paying for unused features.


4. EU Regulation and Sovereignty

Now this gets political.

  • The EU’s Data Act and AI Act aim at guaranteeing digital sovereignty. However, most European enterprises still host sensitive workloads on U.S.-controlled hyperscalers.
  • Under the U.S. CLOUD Act, American companies can be compelled to hand over data, even if it’s stored in Europe. This creates legal uncertainty around banks, governments, and healthcare providers in the EU.
  • So European regulators and CIOs increasingly view reliance on U.S. clouds as a sovereignty risk.

Smaller European providers (OVHcloud, Scaleway, Deutsche Telekom’s Open Telekom Cloud) are picking up on this by ensuring data stays in Europe and is governed by European law.


5. The Lock-In Problem

It’s simple. You can get onto a hyperscaler with migration tools, free credits, and onboarding teams.

But getting off? That’s where the trap lies.

  • Proprietary databases, AI frameworks, serverless functions, and APIs don’t necessarily move.
  • Egress fees (paying to get your data out of the cloud) create financial barriers.
  • Complicated contracts and enterprise agreements bind customers for years.

👉 Once you’re deep into AWS, Azure, or Google Cloud, re-engineering workloads toward on-prem or moving to another provider is almost impossible.


6. Compliance and Industry Fit

  • Hyperscalers:
  • Other providers:

7. Innovation vs. Specialization

  • AWS, Azure, GCP:
  • Other providers:

The Strategic Choice

So what do decision-makers need to think about?

  • If you need global scale and advanced services, hyperscalers are unmatched.
  • If you want predictability, sovereignty, and lower costs, regional providers or managed hosting often win.
  • For some, the answer is a multi-cloud or hybrid approach: run AI workloads on a hyperscaler, hold sensitive or critical data with a sovereign provider, and use managed hosting for cost-sensitive workloads.

Final Thoughts

The big three clouds are powerful — but they come with strings attached: higher costs, lock-in, and sovereignty risks. Smaller and regional providers offer simpler pricing, local compliance, and more freedom.

In Europe in particular, the debate isn’t merely technical — it is political. Depending entirely on U.S. hyperscalers may solve today’s scaling problems, but it poses long-term risks to sovereignty and independence.

💡 Takeaway for business leaders: Don’t just ask “Which cloud is the biggest?” Ask “Which cloud best aligns with my strategy, compliance, and sovereignty needs?” The best choice might be a well-balanced one.

Subscribe & Share now if you are building, operating, and investing in the digital infrastructure of tomorrow.

#Cloud #AWS #Azure #GoogleCloud #MultiCloud #DataSovereignty #EUAIAct #CloudAct #DataCenters #ManagedHosting #DigitalSovereignty #LockIn #FinOps #AI #Infrastructure

https://www.linkedin.com/pulse/aws-azure-google-cloud-vs-everyone-else-what-truly-makes-gailitis-kfukf

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Why Colocation and Private Infrastructure Are Making a Comeback—and Why Cloud Hype Is Wearing Thin

Colo-Coolocation

Key takeaways

  • 83% of enterprise CIOs planned to repatriate at least some workloads in 2024 (Barclays), up from 43% in 2020 – but only 8–9% plan full repatriation.
  • The drivers are unpredictable cloud billing, compliance burden, performance and control.
  • Colocation delivers predictable costs, data residency and direct hardware control.
  • The trend is not cloud vs colo – hybrid is the smarter default.

The Myth of Cloud-First—And the Reality of Repatriation.

For nearly a decade, businesses have been sold the idea of “cloud-first” as a golden ticket—unlimited scale, lower costs, effortless agility. But let’s be frank: that narrative wore thin a while ago. Now we’re seeing a smarter reality take shape—cloud repatriation: organizations moving workloads back from public cloud to colocation, private cloud, or on-prem infrastructure.

These Numbers Are Real—and Humbling

Still, let’s be clear: only about 8–9% of companies are planning a full repatriation. Most are just selectively bringing back specific workloads—not abandoning the cloud entirely. (https://newsletter.cote.io/p/that-which-never-moved-can-never)

Why Colo and On-Prem Are Winning Minds

Here’s where the ideology meets reality:

1. Predictable Cost Over Hyperscaler Surprise Billing

Public cloud is flexible—but also notorious for runaway bills. Unplanned spikes, data transfer fees, idle provisioning—it all adds up. Colo or owned servers require upfront investment, sure—but deliver stable, predictable costs. Barclays noted that spending on private cloud is leveling or even increasing in areas like storage and communications (https://www.channelnomics.com/insights/breaking-down-the-83-public-cloud-repatriation-number and https://8198920.fs1.hubspotusercontent-na1.net/hubfs/8198920/Barclays_Cio_Survey_2024-1.pdf).

2. Performance, Control, Sovereignty

Sensitive workloads—especially in finance, healthcare, or regulated industries—need tighter oversight. Colocation gives firms direct control over hardware, data residency, and networking. Latency-sensitive applications perform better when they’re not six hops away in someone else’s cloud (https://www.hcltech.com/blogs/the-rise-of-cloud-repatriation-is-the-cloud-losing-its-shine and https://thinkon.com/resources/the-cloud-repatriation-shift).

3. Hybrid Is the Smarter Default

The trend isn’t cloud vs. colo. It’s cloud + colo + private infrastructure—choosing the right tool for the workload. That’s been the path of Dropbox, 37signals, Ahrefs, Backblaze, and others (https://www.unbyte.de/en/2025/05/15/cloud-repatriation-2025-why-more-and-more-companies-are-going-back-to-their-own-data-center).

Case Studies That Talk Dollars

Let’s Be Brutally Honest: Public Cloud Isn’t a Unicorn Factory Anymore

Remember those “cloud-first unicorn” fantasies? They’re wearing off fast. Here’s the cold truth:

  • Cloud costs remain opaque and can bite hard.
  • Security controls and compliance on public clouds are increasingly murky and expensive.
  • Vendor lock-in and lack of control can stifle agility, not enhance it.
  • Real innovation—especially at scale—often comes from owning your infrastructure, not renting someone else’s.

What’s Your Infrastructure Strategy, Really?

Here’s a practical playbook:

  1. Question the hype. Challenge claims about mythical cloud savings.
  2. Audit actual workloads. Which ones are predictable? Latency-sensitive? Sensitive data?
  3. Favor colo for the dependable, crucial, predictable. Use public cloud for seasonal, experimental, or bursty workloads.
  4. Lock down governance. Owning hardware helps you own data control.
  5. Watch your margins. Infra doesn’t have to be sexy—it just needs to pay off.

The Final Thought

Cloud repatriation is real—and overdue. And that’s not a sign of retreat; it’s a sign of maturity. Forward-thinking companies are ditching dreamy catchphrases like “cloud unicorns” and opting for rational hybrids—colocation, private infrastructure, and only selective cloud. It may not be glamorous, but it’s strategic, sovereign, and smart.

Subscribe & Share now if you are building, operating, and investing in the digital infrastructure of tomorrow.

#CloudRepatriation #HybridCloud #DataCenters #Colocation #PrivateCloud #CloudStrategy #CloudCosts #Infrastructure #ITStrategy #DigitalSovereignty #CloudEconomics #ServerRentals #EdgeComputing #TechLeadership #CloudMigration #OnPrem #MultiCloud #ITInfrastructure #CloudSecurity #CloudReality

https://www.linkedin.com/pulse/why-colocation-private-infrastructure-making-cloud-hype-gailitis-bcguf

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