Genius Group Launches GENIUSpark to Build and Operate Community-First AI Data Centers, Targeting an Initial 100 MW of AI Compute

The planned infrastructure business would sit alongside education operations, with each site funded through its own local project company.

Rhea-AI Summary

Genius Group (GNS) launched GENIUSpark to build and operate AI data centers, targeting an initial 100 MW of compute capacity. Its board approved incorporation of the wholly owned subsidiary, which plans joint ventures with AI companies, data center operators and power partners.

The company targets $1 billion in annual revenue under its initial model and 1 GW within the next decade. Each full 9.9 MW site targets more than $100 million in annual revenue and approximately $35 million in annual net profit, a 35% margin. Plans call for 10% of site net profit to go to a locally governed Community Fund.

Initial efforts focus on Canada, Australia and Indonesia. Genius Group expects a pilot in the coming months and the first binding agreements in the coming weeks; discussions remain advanced. Target build cost is under $10 million per MW of compute.

6 points · 1 major

PositiveiHow this balance works

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It reads the document as published, with the same rules for every company, and it does not look at what the market expected or at how the stock traded, so a point can be objectively good on a day the stock falls.

Rhea-AI Sentiment measures something else, the tone of the wording.

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0 major · 3 points

Hollow bars mark forward-looking points. How the balance works

Positive

• Major point. Forward-looking: it has not happened yet and may not happen.GENIUSpark targets 100 MW initially, representing a target of $1 billion in annual revenue under its intended model.
• Moderate point. Forward-looking: it has not happened yet and may not happen.Each full 9.9 MW site targets more than $100 million annual revenue and approximately $35 million annual net profit.
• Moderate point. Forward-looking: it has not happened yet and may not happen.GENIUSpark targets build costs of under $10 million per MW using refurbished accelerators, modular halls and on-site power.
• Minor point. Forward-looking: it has not happened yet and may not happen.GENIUSpark's long-term expansion goal is 1 GW within the next decade.
• Minor point. Forward-looking: it has not happened yet and may not happen.Genius Group plans a pilot in the coming months, initially focusing on Canada, Australia and Indonesia.
• Minor point. Forward-looking: it has not happened yet and may not happen.Genius Group expects its Genius OS platform to be among GENIUSpark's first compute customers.

Negative

• Moderate pointFirst joint ventures remain in advanced discussions; Genius Group expects binding agreements in the coming weeks.
• Moderate point. Forward-looking: it has not happened yet and may not happen.Site financing is planned through project-level debt and equity shared with joint venture partners.
• Minor point. Forward-looking: it has not happened yet and may not happen.Community Funds would receive 10% of each site's net profit, targeting $3.5 million annually per full site.

News Explained

The intended structure places each site in its own local project company and finances it with debt and equity shared with joint-venture partners; this is a stated plan, not a disclosed completed financing.

Key Figures

Initial AI compute target: 100 MW Long-term AI compute goal: 1 GW Annual revenue per site: More than $100 million +4 more

Initial AI compute target

100 MW

GENIUSpark initial target

Long-term AI compute goal

1 GW

GENIUSpark long-term goal

Annual revenue per site

More than $100 million

Target for each 9.9 MW site

Net profit margin

35%

Target for each full 9.9 MW site

Community profit allocation

10% of net profit

Target allocation to each site's local Community Fund

Annual revenue target

$1 billion

Target under the intended 100 MW model

Build cost target

Under $10 million per MW

Target cost of compute capacity

Key Terms

colocation, inference, data residency, behind-the-meter power

4 terms

colocation technical

"powered land, colocation, AI compute"

Colocation is the practice of placing a trader’s computer servers inside or next to an exchange’s data center so their orders travel the shortest possible distance to the exchange’s computers. For investors this matters because even tiny gains in speed can mean better trade prices or reduced slippage—like being first in line at a checkout—so firms that colocate can gain steady, measurable advantages or incur extra costs that affect returns.

inference technical

"AI compute sold as compute and inference capacity"

Inference is the process of drawing a conclusion from available evidence or data, like a detective piecing together clues to form a likely story. For investors it matters because these judgments turn raw reports, test results, or market signals into expectations about future performance, risk, or regulatory outcomes—so how someone infers from the same facts can change investment decisions and valuation.

data residency regulatory

"Data residency rules and the need for low latency"

Data residency describes the country or region where a company stores and processes its digital information, shaped by local laws and technical choices. Think of it like deciding which filing cabinet in which country holds a company’s important papers — that choice affects legal obligations, privacy protections, costs and how easily the company can move or share information. Investors watch data residency because it can create regulatory risk, compliance costs and constraints on expansion or cloud strategy.

behind-the-meter power technical

"bring their own behind-the-meter power"

Power generated, stored or used on the customer’s side of the utility meter—such as rooftop solar, on-site batteries, or smart controls—so it never passes through the public utility’s meter. Investors care because behind-the-meter systems reduce a building’s reliance on grid electricity, lower energy bills, offer backup power, and can change demand patterns that affect utility revenues, energy cost forecasts, and the value of companies in energy, real estate and technology.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Genius Group Board approves the incorporation of GENIUSpark to build, own and operate community-first AI data centers through joint ventures with AI companies, data center operators and power partners worldwide.

GENIUSpark intends to deliver fully integrated AI data center locations including powered land, colocation, AI compute, community reskilling and a local AI treasury, with an initial target of 100 MW and a long-term goal of 1 GW.

Each 9.9 MW GENIUSpark site is designed with the goal to generate more than $100 million in annual revenue at a 35% net profit margin, with 10% of net profit returned to its host community through Genius Group’s Genius City model.

The first GENIUSpark joint ventures are in advanced discussions, with binding agreements expected to be announced in the coming weeks.

Launch comes as AI demand for power outruns grid supply and the neocloud market is forecast to grow from $25 billion in 2025 to nearly $400 billion by 2031^[1].

SINGAPORE, Oct. 26, 2026 (GLOBE NEWSWIRE) -- Genius Group Limited (NYSE American: GNS) ("Genius Group", "GNS" or the "Company"), a leading AI-powered education group, today announced the launch of GENIUSpark, its community-first AI power company. Following approval by its Board of Directors, the Company is incorporating GENIUSpark as a wholly owned subsidiary to build, own and operate AI data centers together with the communities that host them, through joint ventures with AI companies, data center operators and power partners worldwide.

GENIUSpark: The Community Solution to the AI Revolution

GENIUSpark evolves Genius Group’s Genius City model into AI infrastructure. Each GENIUSpark site combines five layers in one project: low-cost power, powered land and colocation, high-performance AI compute sold as compute and inference capacity to enterprise, platform and education customers, community reskilling, and a local AI treasury. Sites are sized at up to 9.9 MW: small enough to be approved and powered in months rather than years, and large enough to potentially generate more than $100 million in annual revenue.

Every GENIUSpark site is designed around its host community. Genius Group will deliver local schooling, AI and entrepreneurship programs and reskilling into the jobs each site creates, based on its Genius City model, and 10% of each site’s net profit will be paid into a locally governed Community Fund. Over time, each fund is designed to build its own local AI treasury, making residents stakeholders in the AI infrastructure they host.

GENIUSpark targets an initial 100 MW of AI compute, representing a target of $1 billion of annual revenue under its intended model, and a long-term goal of 1 GW.

The Company is currently focused on launching GENIUSpark in countries that have low cost, accessible power together with high market demand and government support, commencing with Canada, Australia and Indonesia. In each region, GENIUSpark plans to partner with power producers, data center developers and AI companies, with each site held and funded in its own local project company.

The Company is in advanced discussions on the first GENIUSpark locations, and anticipates the first binding agreements to be announced in the coming weeks.

Solving the Two Challenges of the AI Build-Out: AI Power and Community Empowerment

TrendForce forecasts global data center power demand to rise 31% this year to 161 GW, and to reach 490.7 GW by 2030, leaving a projected 268 GW gap against available grid capacity^[2]. In Alberta, large-load connection requests climbed above 16 GW, against an interim limit of 1,200 MW for new loads of 75 MW or more through 2027 and 2028^[3]. GENIUSpark sites are sized below 10 MW and can bring their own behind-the-meter power, allowing them to move in months rather than waiting years in the grid queue.

The second challenge is community support and benefits. Nearly $200 billion of U.S. data center projects, across about 120 projects, were blocked or delayed in the first half of 2026, and a Gallup survey found that seven in ten Americans oppose an AI data center in their local area^[4]. Communities are asking who pays for the power, how much water is used, and whether local people will share in the benefits.

Roger James Hamilton, Founder and CEO of Genius Group, said "Every AI data center needs two things: AI power and community empowerment. Power can be solved with access and capital. We believe community empowerment is solved with our GENIUSpark model of local reskilling, education and a local AI treasury that makes every community member a stakeholder. GENIUSpark is the community solution for the AI revolution: every site we build trains local students and workers for the jobs AI creates, and returns 10% of its profits to the town that hosts it."

"Our first milestone is 100 MW, starting with our pilot in the coming months, and our long-term target is a gigawatt of community-first AI within the next decade. We are building GENIUSpark to be the partner of choice for AI companies and data center operators that want to grow with the support of the communities they serve."

Suraj Naik, Head of AI at Genius Group, said "AI is moving from training to inference, and inference needs to run close to the people and businesses that use it. Data residency rules and the need for low latency are pushing compute out of a handful of mega campuses and into local sites. That is where GENIUSpark is built: smaller, faster to power, closer to users, and run with the communities around them. Our own Genius OS platform will be one of the first customers on GENIUSpark compute."

Unit Economics of the GENIUSpark Model

Under the GENIUSpark model, each full 9.9 MW site is targeted to generate more than $100 million in annual revenue and approximately $35 million in annual net profit, a 35% net profit margin, with a target of $3.5 million a year paid to the local Community Fund and more than 1,000 students, entrepreneurs and skilled workers trained each year.

GENIUSpark targets a build cost of under $10 million per MW of compute, using refurbished accelerators bought in bulk, modular halls and on-site power.

Gaurav Dama, Chief Financial Officer of Genius Group, said "GENIUSpark is designed to fund its own growth. Our intention is for each site to be financed at the project level, with a combination of debt and equity financing shared with our joint venture partners, so we can scale without straining our balance sheet. While final pro forma financials will be on a site-by-site basis, our model targets a 35% net margin with 10% of net profit returned to the local community. This gives a benefit to each community and to our Genius Group investors. Our plan is for GENIUSpark to add a significant cash-generating AI infrastructure business to our education operations and our Bitcoin and AI treasury."

Sources

[1] Synergy Research Group, “Neocloud Market Forecast to Approach $400B by 2031, Driven by Surging AI Infrastructure Demand,” April 2, 2026. https://srgresearch.com/articles/neocloud-market-forecast-to-approach-400b-by-2031-driven-by-surging-ai-infrastructure-demand

[2] TrendForce, “Data Center Power Demand to Rise 31% in 2026; Grid Gap to Widen from 2028,” September 16, 2026.
https://www.trendforce.com/presscenter/news/20260916-13237.html

[3] McCarthy Tétrault, “Alberta faces a surge in AI data centre power demand: AESO responds with phased connection plan,” June 6, 2025.
https://www.mccarthy.ca/en/insights/blogs/canadian-energy-perspectives/alberta-faces-a-surge-in-ai-data-centre-power-demand-aeso-responds-with-phased-connection-plan

[4] Gizmodo, citing Data Center Watch and Gallup, “Nearly $200 billion worth of data center projects have been blocked or delayed this year,” September 21, 2026.
https://gizmodo.com/nearly-200-billion-worth-of-data-center-projects-have-been-blocked-or-delayed-this-year-2000815054

About Genius Group

Genius Group (NYSE: GNS) is a global education group delivering AI powered, education and acceleration solutions for the future of work. Genius Group serves 6 million users in over 100 countries through its Genius City model and online digital marketplace of AI training, AI tools and AI talent. It provides personalized, entrepreneurial AI pathways combining human talent with AI skills and AI solutions at the individual, enterprise and government level. To learn more, please visit geniusgroup.ai

Forward-Looking Statements

Statements made in this press release include forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, including statements regarding GENIUSpark’s intended model, targets, capacity, costs, timing, revenue, net profit, return on equity, community benefits and proposed joint ventures. Forward-looking statements can be identified by the use of words such as "may," "will", "plan," "should," "expect," "anticipate," "estimate," "target," "continue," or comparable terminology. The intended model and targets are for illustrative purposes only and are not intended as binding projections or forecasts or guarantees and depend on assumptions including compute pricing, utilization, power and construction costs, and the availability of project financing and customer contracts, which are not yet in place. No definitive agreement for any GENIUSpark joint venture or site has been signed, and there is no assurance that any will be signed on the terms described or at all. Such forward-looking statements are inherently subject to certain risks, trends and uncertainties, many of which the Company cannot predict with accuracy and some of which the Company might not even anticipate, and may cause actual results to differ materially from those projected or suggested. Readers are cautioned not to place undue reliance on these forward-looking statements and are advised to consider the additional factors under the heading "Risk Factors" in the Company's Annual Reports on Form 20-F, as may be supplemented or amended by the Company's Reports of a Foreign Private Issuer on Form 6-K. The Company assumes no obligation to update or supplement forward-looking statements that become untrue because of subsequent events, new information or otherwise. No information in this press release should be construed as any indication whatsoever of the Company’s future revenues, results of operations, or stock price.

Contacts

Genius Group: investor@geniusgroup.ai

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What capacity and revenue does Genius Group target for GENIUSpark?

GENIUSpark targets an initial 100 MW of AI compute, representing a target of $1 billion in annual revenue under its intended model. Genius Group's longer-term goal is 1 GW within the next decade. These figures are targets, not operating results.

When does Genius Group expect the first GENIUSpark agreements and pilot?

Genius Group expects the first binding agreements in the coming weeks and a pilot in the coming months. Discussions on the first locations are advanced, with initial efforts focused on Canada, Australia and Indonesia.

How does Genius Group plan to finance GENIUSpark sites?

Genius Group intends to finance each site at the project level through a combination of debt and equity shared with joint venture partners. Each site would be held and funded in its own local project company, with final projected financials determined site by site.