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RMZ Sets $35bn Investment Drive to Become Major Player in India’s Booming Data Center and AI Infrastructure Market

By
Samuel Nwite
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0

Bengaluru-based diversified real estate and investment firm RMZ is preparing a massive expansion into data centers, targeting 2-3 gigawatts of capacity over the next five years as part of a broader $35 billion investment drive aimed at capitalizing on India’s surging demand for AI and cloud computing infrastructure.

The company, which currently operates 250 megawatts, is in the final stages of discussions for three new projects that would push its total capacity above 1 gigawatt, Deepak Chhabria, president of RMZ Infrastructure, told Reuters on Thursday. By the end of this year, RMZ also plans to acquire additional land capable of supporting up to 2 gigawatts, positioning it as one of the more aggressive domestic players in what is becoming one of Asia’s hottest digital infrastructure battles.

In April, RMZ unveiled plans to invest more than $35 billion over five years to develop co-location data centers, AI factories, and related infrastructure, with the possibility of an initial public offering to help fund the growth. The announcement came amid a wave of commitments from global technology giants and Indian conglomerates pouring billions into the country’s digital backbone.

“We are seeing only positive signs from some of the hyperscalers, and I think by the middle of this year, we will start ramping up capacity as we get clients signed up,” Chhabria said, declining to name specific customers.

India’s digital infrastructure sector is on track to attract more than $50 billion in planned spending across data centers, cloud, and AI ecosystems. Global hyperscalers and domestic players alike are racing to secure computing capacity as artificial intelligence adoption accelerates across industries, from fintech and e-commerce to healthcare and government services.

The country’s large English-speaking talent pool, improving connectivity, and relatively lower operational costs compared to traditional hubs have made it an increasingly attractive destination.

RMZ, which already operates across major Indian cities including Bengaluru, Mumbai, and Hyderabad, views its data center push as more than just real estate development. Chhabria described it as a strategic entry point into allied businesses such as graphics processing units (GPUs), power infrastructure, and software services.

“Now we will use that as a stepping stone eventually to go up the food chain and build the bottom layer of power,” he said, referring to deeper involvement in the critical energy infrastructure that underpins AI and cloud computing operations.

The company built its existing 250-megawatt capacity through a joint venture with UK-based Colt Data Centre Services. Chhabria said the two partners are actively exploring further growth opportunities together, leveraging Colt’s international expertise and RMZ’s deep roots in the Indian market.

Timing in a High-Growth Market

RMZ’s ambitions align with a broader transformation underway in India’s technology industry. As global tech firms scramble to expand their AI footprints, securing reliable, scalable power and computing capacity has become a key competitive advantage. Delays in land acquisition, regulatory approvals, and power connectivity have slowed some projects, making companies with strong local presence and execution capabilities particularly valuable.

By focusing on both co-location facilities (where multiple clients share infrastructure) and dedicated AI factories, RMZ aims to serve a range of customers — from large hyperscalers needing massive scale to Indian enterprises seeking localized, compliant solutions.

The move into power infrastructure is significant, as reliable electricity remains one of the biggest constraints for data center development in India, where peak demand often strains the grid.

Chhabria’s comments suggest RMZ sees itself evolving from a real estate developer into a more integrated digital infrastructure provider. This “full-stack” approach could help insulate the company from pure-play real estate cyclicality while capturing higher-margin opportunities in the AI value chain.

India’s data center market is becoming fiercely contested. Global players such as Equinix, Digital Realty, and AWS are expanding aggressively, while domestic conglomerates including Reliance, Adani, and Tata are also making large bets. Foreign investment is flowing in, drawn by government incentives under initiatives like the IndiaAI Mission and production-linked incentives for electronics manufacturing.

RMZ’s $35 billion commitment stands out for its scale and speed. If executed, analysts believe it would place the firm among the leading capacity builders in the country at a time when demand forecasts continue to be revised upward. Industry estimates suggest India could need tens of gigawatts of additional data center capacity by 2030 to support its digital ambitions, creating room for multiple large players.

The joint venture with Colt provides RMZ with technical credibility and global best practices, while its local land bank and relationships give it an edge in navigating India’s complex regulatory and state-level approval processes. Success in the initial gigawatt-scale projects will be critical in building investor confidence ahead of any potential public listing.

For the broader Indian economy, RMZ’s expansion, and others like it, come with significant implications. Data centers are capital-intensive and create high-skilled jobs in engineering, operations, and maintenance. They also drive demand for ancillary infrastructure, from power generation to fiber optics and cooling systems.

At a time when India is positioning itself as a global technology and AI player, robust domestic capacity reduces reliance on foreign data centers and enhances data sovereignty.

However, power availability, water resources for cooling, and environmental clearances are persistent hurdles. Land acquisition in prime connectivity locations can be slow and contentious.

Still, Chhabria’s tone was optimistic, reflecting confidence that India’s digital infrastructure story is only beginning.

Prediction Market Apps and the Future of Data-Driven Finance

By
TI Partners
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0

Prediction markets started as a niche curiosity. Today, they are attracting traders, investors and businesses interested in a simple question: can markets forecast the future better than experts?

Wall Street has spent decades trying to predict the future. Economists publish forecasts, analysts build models, and investors pore over data looking for an edge. Prediction markets approach the same problem from a different angle. Instead of asking a handful of experts what they think will happen, they let thousands of participants express a view with their wallets.

The recent growth of prediction-market apps suggests that more people are starting to pay attention to the results.

Forecasting Is Becoming a Financial Asset

Good forecasting has always been valuable because it helps businesses decide where to invest, which risks deserve attention and which opportunities are worth pursuing.

The difference today is that forecasting no longer relies solely on historical data. Artificial intelligence, machine learning and predictive analytics have become part of the toolkit.

Research examining big-data analytics and machine-learning forecasting found that modern financial systems increasingly rely on large datasets and predictive models to improve decision-making and operational efficiency. Finance has become a constant exercise in processing new information, and firms that can identify useful signals faster than competitors gain a genuine advantage. Prediction markets fit naturally into that environment because they transform expectations into measurable prices.

Prediction Markets Turn Expectations Into Prices

Prediction markets work on a simple premise. Participants buy and sell contracts linked to future events, and the market price reflects the collective probability assigned to a particular outcome. Every new piece of information can influence those prices, creating a constantly updated forecast.

Activity in the sector has accelerated dramatically. Monthly trading volume across major prediction-market platforms increased from less than $5 billion in September 2025 to approximately $24 billion in April 2026. That growth has pushed prediction markets beyond election forecasting and into areas such as interest rates, artificial intelligence, economic indicators and corporate developments. For businesses interested in data-driven finance, those markets provide a real-time view of how participants interpret emerging information.

For companies, the value is not necessarily in trading the contracts themselves. The more important use may be informational. A business can observe how market expectations change around inflation releases, policy decisions, product launches or macroeconomic events. Those signals can complement internal models, analyst forecasts and customer data, giving decision-makers another way to understand how expectations are shifting in real time.

Sports Markets Have Become a Live Testing Ground

Sports have provided one of the clearest demonstrations of market-based forecasting. Futures markets move when injuries occur, qualification odds change when results arrive elsewhere, and bookmaker expectations adjust constantly as information enters the market. Every adjustment reflects a collective reassessment of probability.

That dynamic increasingly overlaps with prediction-market activity. Participants now track championship outcomes, player-performance markets and event contracts with the same attention traditionally reserved for financial indicators.

Market selection has become an important differentiator because sports-focused contracts, trading volume and participation incentives can vary substantially between operators.

Comparing those differences is now part of the process, particularly when activity concentrates around major events. For readers comparing sports prediction markets, a structured guide can help show how operators differ by available contracts, trading activity, market focus and promotional terms. Those differences matter because liquidity, contract variety and platform rules can shape the user experience as much as the forecast itself.

Interest in these comparisons continues to grow because prediction markets have developed into sophisticated ecosystems where liquidity and contract variety can influence participation just as much as the forecast itself.

The growing relevance of prediction markets has attracted attention far beyond sports and politics. Increasingly, the discussion involves financial infrastructure, derivatives trading and new approaches to market participation.

The same regulatory and infrastructure questions are now spreading beyond traditional event contracts. A recent dispute involving CME Group, Kalshi and the U.S. Commodity Futures Trading Commission showed how newer trading platforms are beginning to overlap with established derivatives markets. The case centred on perpetual futures rather than standard yes-or-no prediction contracts, but it still illustrates the broader point: platforms built around simplified, app-based market participation are moving closer to mainstream financial infrastructure.

Markets Are Becoming Information Networks

Prediction markets remain a relatively young part of modern finance, yet their development points toward an interesting future. Financial markets have always been mechanisms for processing information; prediction markets simply apply that principle to a wider range of events.

Whether the subject is interest rates, economic growth, artificial intelligence or a championship outcome, the underlying process remains the same: participants assess available information and express a view on what happens next.

That idea helps explain the growing interest in prediction-market apps. Businesses have never lacked data. The challenge has always been deciding which information deserves attention and which signals are worth acting on. Prediction markets offer a different way of approaching that problem because they transform expectations into prices that can be observed in real time.

Finance will continue to evolve as new forecasting tools emerge, yet the underlying objective remains unchanged. Better information leads to better decisions. Prediction markets have become part of that conversation, occupying a space between traditional forecasting and active market participation; a position that is likely to attract increasing attention as data-driven finance continues to mature.

PawaPay Hits 3 Billion Successful Mobile Money Transactions

By
Ojukwu Emmanuel
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0

PawaPay, a UK-based fintech that provides mobile payments solutions to African businesses, has recorded a landmark 3 billion successful mobile money transactions, underscoring the rapid acceleration of digital payments across Africa.

The payment company disclosed that while the first billion transactions took four years to achieve, the second billion was processed in less than 12 months, and the third arrived in under nine months, highlighting a sharp increase in adoption and usage.

Announcing this feat the company wrote via a post on LinkedIn,

“3 billion successful mobile money transactions. The first billion took 4 years. The second, less than 12 months. The third arrived in under 9 months. Behind those numbers are transport fares, remittances, subscriptions, salaries, school fees and millions of everyday life across Africa.”

Also commenting, PawaPay head of Sales,  Joshua Breslin wrote,

“Its really hard to contextualize how many 3 billion is. It’s like doing 1 transaction, every single second for over 95 years. That many.”

PawaPay hitting 3 billion successful mobile money transactions in under 9 months, comes amid the significant rise in the adoption of mobile money across the African content.

According to GSMA “The State of The Industry Report on Mobile Money 2026”, in 2025, mobile money account rose by record numbers. There were 2.3 billion registered mobile money accounts, 268 million more than the previous year, the largest ever annual increase in absolute terms.

Active 30-day accounts rose by 15% to 593 million in 2025. This marks the highest annual percentage increase in monthly active accounts since 2021.

Notably, the mobile money industry crossed an important threshold in 2025, as more than $2 trillion flowed through mobile money wallets. While it took the industry 20 years to pass $1 trillion in annual transaction values, it only took four years from that point for this figure to double.

“Mobile money, as the principal means of digital payments on the African continent, is growing year on year,” Jamie Steell, PawaPay’s chief operating officer, said in an interview. “It’s like 20% up year on year consistently.”

Steell attributed the growth to a combination of demographic and technological factors, including a young population, falling smartphone costs, cheaper internet access, and the rapid digitisation of commerce.

“There is a digital environment growth that is happening, and that is driving growth of all our merchants that we see come onto our pipes,” he added.

Founded in 2020, PawaPay was established as a fintech infrastructure company focused on mobile money payments across Africa, building a single API that connects businesses to multiple telecom mobile money systems.

Through a single integration, the company manages operator connectivity, settlement, FX, reconciliation and regulatory coverage across its markets. It currently covers 85% of all mobile money in Africa, spanning 20 countries and counting.

Since 2022, PawaPay has also used stablecoins within its treasury operations to reduce settlement float and improve predictability across currencies. The company said it has processed more than €10 billion ($11.63 billion) in payments since launch.

Over the past six years, PawaPay has supported businesses using mobile money across sectors including remittance, transport, digital services and humanitarian payments. Organisations including Deriv and GiveDirectly rely on PawaPay to operate across multiple African markets through a single integration.

In 2025, the mobile money company announced partnership with Airtel Money Africa, Africa’s leading mobile money provider, to revolutionise cross-border remittances across the continent.

This collaboration extended pawaPay’s reliable payment infrastructure into seven key markets (Uganda, Rwanda, Zambia, Malawi, Gabon, Congo Brazzaville, and Tanzania), enabling seamless inbound transfers directly into the mobile wallets of over 161 million Airtel Money customers.

As mobile money continues to expand across Africa, PawaPay remains focused on helping businesses access local payment infrastructure through a single connection, enabling them to operate across markets without building payments operations country by country.

Fable 5 Re-Release Delayed by White House Security Requirements

By
Paul Ugbede Godwin
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0

The rapid advancement of artificial intelligence has sparked both excitement and concern among governments, technology companies, and the public. As AI systems become increasingly powerful, questions surrounding safety, security, and regulation have moved to the forefront of policy discussions.

Recent developments involving the AI model Fable 5 and comments from Anthropic’s CEO illustrate how seriously world leaders and industry executives are beginning to view the risks associated with advanced AI technologies.

According to reports, the White House has demanded that Fable 5, a highly capable AI system, be redesigned to make it effectively impossible to jailbreak before it is released again.

Jailbreaking refers to the process of bypassing an AI model’s built-in safety restrictions, allowing users to generate responses or perform tasks that developers intended to prohibit. These restrictions are typically designed to prevent harmful activities such as creating malware, spreading misinformation, or providing instructions for dangerous actions.

The White House’s stance reflects growing concerns that increasingly sophisticated AI systems could be exploited by malicious actors if adequate safeguards are not in place. As AI capabilities continue to expand, vulnerabilities that allow users to circumvent safety measures become more consequential.

Government officials argue that AI developers have a responsibility to ensure their products remain secure under real-world conditions, where determined individuals may actively seek ways to misuse them.

Anthropic CEO Dario Amodei has offered a stark assessment of the risks posed by next-generation AI systems. Discussing the company’s latest model, Mythos, Amodei revealed that some organizations testing the technology have compared it to a super weapon.

He noted that certain evaluators believe access to such advanced AI could eventually require oversight similar to licensing requirements for firearms, emphasizing the immense power these systems may wield in the future.

The comparison to a weapon may sound dramatic, but it highlights a broader concern among researchers and policymakers. Advanced AI systems can potentially accelerate scientific discovery, automate complex decision-making, and enhance productivity on an unprecedented scale.

The same capabilities could also be used to develop cyberattacks, manipulate information ecosystems, or assist in the creation of dangerous technologies if they fall into the wrong hands. Supporters of stronger regulation argue that society has historically imposed safeguards on powerful technologies, from nuclear energy to aviation.

They believe AI may eventually require a comparable framework that balances innovation with public safety. Such measures could include licensing requirements for the most advanced models, mandatory security testing, and government oversight of high-risk deployments.

Critics, however, caution that excessive regulation could slow innovation and reduce competitiveness. They argue that the technology sector thrives on open experimentation and that burdensome restrictions may hinder progress or drive development to jurisdictions with less oversight.

Finding the right balance between safety and innovation remains one of the most challenging policy questions facing governments worldwide. The debate surrounding Fable 5 and Mythos underscores a fundamental reality: artificial intelligence is no longer viewed as merely another software product.

As AI systems grow more capable, they are increasingly being treated as strategic technologies with profound implications for national security, economic development, and public welfare. Whether through stricter safeguards, licensing frameworks, or new regulatory institutions, the coming years are likely to define how humanity governs one of the most transformative technologies ever created.

The Future of Leverage Trading: CME, CFTC, and Perpetual Contracts

By
Paul Ugbede Godwin
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0

The reported plan by CME Group to sue the U.S. Commodity Futures Trading Commission (CFTC) over the regulation of perpetual futures marks a significant escalation in the long-running tension between traditional derivatives exchanges and emerging crypto-native financial products.

At the center of the dispute is a fundamental question: whether perpetual futures—contracts with no expiration date, widely used in crypto markets—fit within existing U.S. derivatives law or require a distinct regulatory framework.

Perpetual futures, often called perps, were originally popularized by offshore crypto exchanges and have become one of the dominant instruments for leveraged trading in digital assets.

Unlike standard futures contracts, which settle on a fixed expiry date, perpetual futures are designed to track the spot price of an asset through a funding rate mechanism that periodically balances long and short positions. This structure allows traders to maintain leveraged exposure indefinitely, making the product both highly liquid and highly risky.

CME Group, one of the world’s largest regulated derivatives marketplaces, has historically offered standardized futures and options under strict CFTC oversight. Its move toward challenging the regulator suggests growing concern that the CFTC’s evolving stance on perpetual futures may blur the boundary between regulated exchange-traded derivatives.

At the core of CME’s anticipated legal action is the allegation that the CFTC is exceeding its interpretive authority by applying existing derivatives frameworks to products that, according to CME, were never contemplated under the Commodity Exchange Act (CEA).

CME is expected to argue that perpetual futures constitute a fundamentally new class of derivative contract that requires explicit congressional authorization or new rulemaking rather than incremental regulatory adaptation.

From CME’s perspective, the regulatory ambiguity creates competitive distortion. Offshore platforms offering perpetual futures are able to operate under lighter regulatory regimes, attracting significant trading volume away from U.S.-regulated venues.

CME, bound by CFTC rules on margin, settlement, reporting, and market surveillance, faces structural disadvantages in attempting to compete with products that function differently by design. The lawsuit, therefore, is not only about legal interpretation but also about market structure and fairness in global derivatives trading.

The CFTC, on the other hand, is likely to defend its position by asserting that its existing authority over swaps and futures-like instruments is sufficiently broad to encompass perpetual futures when they functionally replicate leveraged derivatives.

Regulators have historically taken a functional approach, focusing on economic substance over contractual labeling.

Under this interpretation, if a product behaves like a futures contract—providing leveraged exposure to an underlying asset with continuous price tracking—it may fall within existing oversight even if its mechanics differ.

The outcome of this dispute could have wide-ranging implications for both traditional finance and the crypto industry. A ruling in favor of CME could force the CFTC to establish a new regulatory category for perpetual futures, potentially reshaping how crypto derivatives are traded in the United States.

It could also drive more trading activity offshore if domestic regulation becomes more restrictive or fragmented. If the CFTC prevails, it would reinforce the regulator’s authority to adapt legacy frameworks to emerging financial innovations without requiring constant legislative updates.

This could accelerate the integration of crypto derivatives into regulated U.S. markets, but it may also intensify calls from industry participants for clearer statutory definitions. The dispute underscores a deeper structural transition in global derivatives markets.

As crypto-native instruments increasingly intersect with traditional financial infrastructure, the lines between innovation and regulation are becoming less defined. The CME-CFTC confrontation over perpetual futures may become a landmark case in determining how far existing regulatory systems can stretch before new legal architecture becomes necessary.

Coinbase Leads the AI Investing Revolution With SEC-Registered Advisors

Meanwhile, the rapid convergence of artificial intelligence and financial services has taken another significant step forward with Coinbase’s launch of SEC-registered AI investment advisors.

The initiative marks a major milestone not only for Coinbase but also for the broader financial industry, which is increasingly embracing artificial intelligence to improve investment decision-making, portfolio management, and customer service.

By operating within a regulated framework, Coinbase aims to demonstrate that AI-driven financial advice can coexist with investor protection and regulatory compliance. For years, artificial intelligence has been transforming financial markets.

Hedge funds, banks, and asset managers have relied on sophisticated algorithms to analyze market data, identify trends, and execute trades faster than human investors.

However, the introduction of SEC-registered AI investment advisors brings these capabilities directly to retail and institutional clients in a regulated and transparent manner. This development could significantly change how investors interact with financial markets and manage their portfolios.

Coinbase’s AI advisors are designed to provide personalized investment recommendations based on an individual’s financial goals, risk tolerance, investment horizon, and market conditions. By leveraging machine learning models, the system can process vast amounts of information, including market trends, economic indicators, company performance metrics, and blockchain data.

This enables the AI to generate insights that would be difficult for traditional advisors to produce at the same speed and scale. One of the most important aspects of Coinbase’s new offering is its SEC registration. Regulatory oversight provides an additional layer of credibility and accountability, addressing concerns that often arise when AI systems are entrusted with financial decisions.

Investors and regulators alike have expressed worries about algorithmic bias, lack of transparency, and the potential for automated systems to make harmful recommendations. By operating under SEC rules and compliance requirements, Coinbase seeks to ensure that its AI advisors meet established standards for fiduciary responsibility and investor protection.

The move also reflects a broader trend toward the democratization of investment services. Traditional financial advisors can be expensive and inaccessible for smaller investors.

AI-powered advisors, often referred to as robo-advisors, have already helped lower barriers to entry by offering automated portfolio management at a fraction of the cost. Coinbase’s AI advisors could further expand access to sophisticated financial guidance, allowing more people to benefit from advanced analytical tools regardless of their account size.

For the cryptocurrency sector, the launch is particularly noteworthy. Digital assets remain a relatively young and volatile asset class, requiring investors to navigate complex market dynamics. AI systems capable of analyzing blockchain activity, token flows, market sentiment, and macroeconomic developments may provide valuable insights that help investors make more informed decisions.

As cryptocurrencies become increasingly integrated into mainstream finance, the demand for intelligent advisory services is likely to grow. However, challenges remain. AI models are only as effective as the data they are trained on, and financial markets are inherently unpredictable. Unexpected events, regulatory changes, geopolitical tensions, or market shocks can quickly alter investment conditions.

As a result, human oversight will continue to play a critical role in monitoring AI-generated recommendations and ensuring that they align with investors’ objectives and regulatory requirements. Coinbase’s launch of SEC-registered AI investment advisors represents a significant advancement in the evolution of financial technology.

By combining artificial intelligence with regulatory compliance, the company is positioning itself at the forefront of a new era in investment management. If successful, this initiative could accelerate the adoption of AI-powered financial services, reshape how investors access professional guidance, and further bridge the gap between traditional finance and the digital asset economy.

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