Understanding Cloud Market Dynamics

Every CFO is moving to the cloud Not everyone is in control of it. Cloud adoption in finance has crossed the line from an IT decision to a strategic governance question. CFOs today are not just funding infrastructure they’re designing the architecture that defines compliance, resilience, and accountability. Every model: Public, Private, Hybrid, and Community, carries a unique trade-off between speed, scalability, and control. Understanding that balance has become a core CFO competency. 1/. Public Cloud: Speed over control Fast, flexible, and cost-efficient, perfect for analytics or AI pilots. Yet shared infrastructure and external data residency can create compliance and governance challenges. 2/. Private Cloud: Control over convenience Exclusive infrastructure with full visibility and auditability, ideal for ERP and financial systems. The trade-off is higher cost and slower scalability, but it remains essential for regulated industries. 3/. Hybrid Cloud: Governance meets innovation Critical workloads stay private, experimental or high-volume ones move public. Integration becomes complex, but CFOs gain both agility and compliance. 4/. Community Cloud: Shared risk, shared compliance Organisations with similar obligations, like banks or government networks, share infrastructure governed by common standards. It moves more slowly but strengthens trust and consistency. According to Gartner’s 2025 Finance Cloud Market Report: → 68% of financial institutions now operate in hybrid or multicloud setups. → 47% still rely on private clouds for sensitive workloads. → 53% of subscriptions remain underutilised, inflating the total cost of ownership. These numbers reveal a key insight: speed without structure leads to inefficiency. The right cloud model isn’t the one that scales fastest, It’s the one that sustains compliance while enabling innovation. CFOs must now act as Cloud Governors, asking: - Do our cloud contracts guarantee portability and exit readiness? - Are compliance and audit frameworks applied across all environments? - Can our data and automation pipelines withstand regulatory review? Because cloud decisions are governance decisions. And in finance, control is not resistance, it is protection for growth. Key takeaway: Public Cloud = Speed Private Cloud = Control Hybrid Cloud = Balance Community Cloud = Trust For detailed frameworks, data, and real CFO case studies, read the full article: Cloud Models in Finance: Why Control Still Matters Read here- https://lnkd.in/dgT4exMK The right architecture is not just a technical foundation. It is the backbone of financial integrity.

After nearly 25 years in infrastructure and cloud, I keep hearing the same statement: “Cloud is already won by AWS, Azure, and Google.” I don’t agree. What I’m seeing right now is something very different. The cloud market is not saturated. It’s re-segmenting. And that shift is creating new opportunities that didn’t exist even 3–5 years ago. The biggest misconception: Most people still think cloud is about scale. More data centers More services More regions That game is already owned by hyperscalers. If you try to compete there, you’re too late. What’s actually happening: Cloud is moving from scale to precision. The companies that are winning today are not trying to be everything. They are solving very specific problems: • Sovereign cloud → trust and compliance • AI infrastructure → GPU and inference workloads • Developer cloud → simplicity and speed • Hybrid cloud → enterprise control That’s the real market now. The shift most people are missing: Compute is becoming a commodity. The real value is moving toward: • AI infrastructure • inference workloads • managed platforms • developer experience This is where the next generation of cloud companies will be built. If I were starting today: I wouldn’t build another cloud platform. I would build something focused: • a GPU-first cloud • in a specific geography • with a Kubernetes-first architecture • and extremely simple, transparent pricing Win a niche first. Expand later. Most people think cloud is a closed market. It’s not. It’s just entering a new phase where focus beats scale. And that’s exactly where new leaders get created. I’ve written a detailed playbook on this. I’ll drop the link in the comments. Curious to hear your take: If you were building a cloud company today, where would you focus?

About a year ago, I created a comprehensive graphic comparing the major cloud providers. As I revisit it now, I'm struck by the rapid evolution of the cloud landscape. While each provider's core competencies remain largely unchanged, there have been some significant developments and emerging trends. Let's dive in! 1. 𝗧𝗵𝗲 𝗥𝗶𝘀𝗲 𝗼𝗳 𝗠𝘂𝗹𝘁𝗶-𝗖𝗹𝗼𝘂𝗱: Increasingly, businesses are adopting a multi-cloud approach, cherry-picking services from different providers to optimize costs, avoid vendor lock-in, and take advantage of each platform's unique offerings. This shift towards a more diverse and flexible cloud strategy is a testament to the growing maturity of the market. 2. 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗧𝗮𝗸𝗲𝘀 𝗖𝗲𝗻𝘁𝗲𝗿 𝗦𝘁𝗮𝗴𝗲: In response to the pressing need for environmental action, the big three cloud providers have all stepped up their sustainability efforts. From renewable energy initiatives to tools that help customers monitor and reduce their carbon footprint, the cloud is becoming greener. 3. 𝗧𝗵𝗲 𝗔𝗜/𝗠𝗟 𝗕𝗼𝗼𝗺: Artificial intelligence and machine learning have seen explosive growth, with each provider offering an expanding array of AI/ML services. These tools are becoming more user-friendly and accessible, democratizing AI and enabling businesses of all sizes to harness its power.     4. 𝗧𝗵𝗲 𝗘𝗱𝗴𝗲 𝗘𝘅𝗽𝗮𝗻𝗱𝘀: Edge computing has come into its own, with Azure Arc, AWS Outposts, and Google Anthos all seeing significant enhancements. This development is crucial for IoT, real-time data processing, and low-latency applications. As the intelligent edge continues to evolve, it's opening up exciting new possibilities. 🚀 5. S𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀𝘀 𝗦𝗶𝗺𝗽𝗹𝗶𝗰𝗶𝘁𝘆: Serverless computing has been a game-changer, abstracting away infrastructure management and enabling developers to focus on writing code. Over the past year, serverless offerings have continued to mature, with improved tooling, easier integration, and more robust functionalities. As always, the "best" cloud provider is the one that aligns with your unique requirements, existing infrastructure, and long-term objectives. It's crucial to periodically reassess your cloud strategy to ensure it remains optimized for your evolving needs. I'm curious to hear your thoughts! What notable changes or trends have you observed in the cloud ecosystem recently?

Help me figure this out... There's a puzzling disconnect in the cloud computing industry today. Major cloud providers consistently claim they're struggling to meet overwhelming demand for AI computing resources, yet their quarterly earnings reports often fall short of Wall Street's expectations. This paradox is becoming increasingly visible. While cloud providers report strong year-over-year growth in AI and cloud segments, these numbers frequently disappoint market analysts anticipating even higher returns. Despite announcing unprecedented capital expenditures for AI infrastructure, often planning 40%+ increases in capital budgets, providers are struggling to demonstrate proportional revenue growth. Investors are questioning these "eye-watering capital expenditures being poured into AI infrastructure." The fundamental concern is that AI remains an expensive research project with significant uncertainty about how the global economy will actually absorb, utilize, and pay for these capabilities at scale. The market seems caught in a contradiction: there's enormous enthusiasm for building AI computing capacity, yet actual implementation and monetization of AI applications remain tepid. Cloud providers may be conflating potential future demand with current market reality, leading to a mismatch between infrastructure investments and immediate revenue generation. While the long-term potential of AI is undeniable, the short-term market dynamics are more complex than providers' public statements indicate. #AI #CloudComputing #EnterpriseTechnology #InvestmentParadox

I recently teamed up with the brilliant Michelle Nie, Nicholas P. Garcia, and Elise P. to reflect on the nature of cloud computing as a central part of our lives and regulation as a public utility. Perhaps no technology underpins more the everyday functioning of our increasingly digital world than cloud computing. We rely on the cloud every day to access government, healthcare and educational services. We access our government benefits, file taxes, schedule doctor’s appointments, bank online and access educational materials all through the cloud. We increasingly depend on the cloud to communicate with each other. Where we once relied on the telephone system and federated self-hosted email servers, now millions of Americans communicate daily over cloud-based apps, such as web-based email services like Gmail, WhatsApp, Messenger and Zoom. And now, with the advent of artificial intelligence, nearly all Americans use either AI-specific products, such as AI chatbots, or AI-enabled services such as social media, weather forecasting apps or shopping websites. These products and services require processing powers, not only to train the underlying AI models, but also to deploy them to end users. What “the cloud” even is remains obscure to many people. There are many different service offerings and business models in the industry, but it is most simply understood as companies that offer computing resources — access to big storage servers and processing power — as a service. Cloud providers build, rent or manage the physical infrastructure to do all the computing, and then sell access to it to all the many individuals and businesses that need it. But unlike other essential infrastructure services — including electricity, water, and gas — cloud companies are treated like any other firm, rather than a firm that provides a clear public good or service, like water or electricity. The “big three” cloud providers in the world, Amazon Web Services, Microsoft Azure and Google Cloud, dominate the market, collectively controlling nearly two-thirds of global cloud infrastructure. This concentration of power allows cloud providers to set terms of access, pricing and service without meaningful accountability or transparency. These dynamics also undermine competition from small businesses, locks in consumers and threaten innovation and access to critical information. The cloud market is too important to our economy and society to operate without appropriate regulation and direct oversight by democratic institutions. While cloud providers are subject to some existing regulations, the current regulatory structure fails to recognize their role as essential infrastructure and does not impose the public interest obligations necessary to serve the public good. Access to compute power is becoming the essential service of the AI and digital future, and now may be the time to establish the next generation of public utilities to govern these services for the public good.

The number that 'India's cloud market is expected to reach $52 billion by 2030', gets cited often. What gets discussed less is what it actually takes to be relevant. I spent a large part of my career watching India build public systems at scale. One thing that period taught me is that large opportunities do not go to whoever moves first. They go to whoever understands the market clearly enough to build for what it actually needs. Right now, several things are shifting at the same time.  → Enterprises that were experimenting with AI are now moving those workloads into production, and the infrastructure needed for that is very different from what most teams have today   → Data residency is no longer just a compliance step. With the DPDP Act, it is becoming a real constraint, especially for regulated industries   → GPU availability remains tight, and how capacity is managed is already starting to separate providers   And then there is support. When a system goes down and the only option is a ticket queue, the cost of that moment is far higher than the downtime itself. What I find most interesting is that none of these shifts automatically favour scale. They favour clarity on;   - What enterprises actually need.  - How systems behave under pressure.  - What cannot fail.   The $52 billion opportunity will not be captured by the loudest voice in the room. It will go to those who are paying the closest attention. Curious to know about where this is all heading. What’ s your take on this?

Cloud is not another datacenter! It is a fundamentally different set of capabilities. Markets have long relied on architectures built for batch processing, fragmented records, and post hoc reconciliation. Moving to 24/7 digital asset markets requires something different: always-on operation, enterprise-grade security and identity, controls enforced within the transaction, and resilience designed in from the start. A traditional bank datacenter can't be easily upgraded to provide many of these properties at the scale required by financial markets. These properties are native to the cloud, and they are why the next generation of financial market infrastructure is being built on it rather than alongside it. A concrete example is taking shape right now. Microsoft's expanded collaboration with The Depository Trust & Clearing Corporation (DTCC) Digital Assets shows the pattern in practice: the same capabilities described above, applied at Reg SCI-grade scale and engineered jointly to evolve as market structure does. The shift underneath all of this is a change in what the cloud actually is to a regulated institution. It has moved from a hosting choice to the operating foundation for functions of modern markets. William Borden's article is worth reading in full. In addition to thoroughly covering the above points, the article thoughtfully lays out the interoperability and collective-action agenda. #CloudTransformation #FinancialServices #DigitalAssets #FMI #PublicCloud

A Competition Policy for Cloud and AI | prepared by Centre on Regulation in Europe (CERRE) This report critically evaluates the emerging concentration #risks in the #cloudcomputing and #artificialintelligence (AI) markets, arguing for a recalibrated competition policy to address growing dependencies on a handful of dominant technology providers. Authored by Zach Meyers and Marc Bourreau , and published by CERRE, the study situates cloud and AI infrastructure not merely as commercial utilities but as foundational layers of digital sovereignty, innovation control, and future market structure across the #Europeaneconomy. The report finds that hyperscalers—particularly U.S.-based cloud giants—have amassed disproportionate influence over AI development through vertical integration, proprietary ecosystems, and exclusive access to compute and training data. This dominance risks entrenching gatekeeper positions that constrain downstream competition and innovation, particularly among smaller #Europeanfirms and #publicinstitutions. Furthermore, the intertwining of cloud infrastructure and AI model deployment creates lock-in effects that hinder interoperability and user mobility. Current competition frameworks, shaped primarily for consumer-facing digital markets, are deemed insufficient to manage these systemic infrastructural asymmetries. The authors propose a series of forward-looking policy interventions, including cloud switching mandates, interoperability standards, algorithmic transparency requirements, and ex ante regulatory tools tailored to infrastructure-level dominance. In conclusion, the report asserts that safeguarding long-term innovation and economic pluralism in #Europe requires a proactive, infrastructure-aware competition policy framework. From an industrial policy and regulatory economics perspective, addressing concentration in cloud and AI markets is not merely a matter of pricing or consumer welfare—it is about preserving dynamic efficiency, strategic autonomy, and fair access to the computational foundations of the digital age. The success of European digital competitiveness will depend not only on domestic technological capability, but on institutional capacity to regulate complexity at the intersection of scale, #data, and artificial intelligence.

🚨 This chart probably captures one of the most important market dynamics today: AI has become a massive infrastructure investment cycle - The Information 📊 OpenAI and Anthropic now represent a very significant share of the revenue backlog of major U.S. hyperscalers. For companies like Oracle, Amazon, and even Microsoft, close to half of future contracted backlog is directly or indirectly tied to these two AI labs. A meaningful portion of future cloud growth is now dependent on a handful of AI players and behind these commitments sits an entire economic chain. ⚠️ The system has become increasingly self-reinforcing, supporting a large part of the broader technology ecosystem. However, this is also where the risk lies as the concentration is extreme. If models become significantly more efficient, if inference costs fall sharply, if enterprise ROI disappoints, or if OpenAI and Anthropic slow their spending commitments, part of this backlog could suddenly look less durable than markets currently assume. ➡️ Oracle is probably the clearest example. It remains one of the biggest beneficiaries of the AI cycle but also one of the most exposed if growth slows. Microsoft and Google appear more diversified because they capture more value across the stack. Are we witnessing an AI capex bubble, or the beginning of a new industrial supercycle comparable to the internet or mobile revolutions? For now, markets are still pricing continuation far more than interruption. The larger these commitments become, the more sustainability of AI demand becomes the central issue to watch. *Link: https://lnkd.in/dbvfESrK

A new wave of AI investments is here — and the winners this cycle won’t look like the last. The cloud market, once dominated by Amazon, Microsoft, and Google, is shifting rapidly — with major implications. Two stand out: 1️⃣ Bare compute isn’t enough anymore. Providing raw infrastructure alone won’t cut it. The space is becoming more competitive, going from 3 to 10+ players a.k.a neoclouds (CoreWeave, Nebius etc). Traditional cloud service providers (CSPs) are rethinking their strategies. Do they double down on capex $, or leverage the infrastructure of the neoclouds - e.g., Microsoft + Nebius announcement. CSPs will need to find new sources of competitive edge. Here is Oracle as an example. "Oracle is by far the world's largest custodian of high-value private enterprise data." ...and customers can run LLMs on their own proprietary data right in the Oracle Cloud...this data advantage can take Oracle from lagging CSP to a leading vendor. The company just reported that at the end of Q1, RPO skyrocketed to $455B 🙀 2️⃣ A bigger field means stronger suppliers. This is where the returns are! As the market expands from three dominant buyers to ten, the balance of power shifts. Suppliers gain broader customer bases, more pricing leverage, and less reliance on any one cloud giant. Companies like Astera Labs and Credo are expanding their customer base from 1 primary customer to 10+. Take Arista Networks (ANET). Meta and Microsoft have long used its leading technology — while Amazon and Google stuck with weaker in-house solutions. That dynamic mattered less in the last cycle, when performance wasn’t the priority. Now it’s everything: if your infrastructure lags, you lose. New entrants are likely to want to use best-in-class. The bottom line is that the market is rapidly changing. The next AI investment cycle is coming and is bringing a new set of opportunities. Buckle up for 2H25 🚀 #artificialintelligence #tecnology