MANILA, Philippines — November 10, 2026 — Philippine broadband billionaire Dennis Anthony Uy is preparing Converge ICT Solutions Inc. for a future in which simply selling faster internet may no longer be enough.
With artificial intelligence reshaping how businesses operate, the Converge chief executive is exploring new revenue streams that could transform the fiber broadband provider into a larger digital infrastructure and AI computing company.
Among the opportunities being studied are renting powerful graphics processing units (GPUs) to businesses, hosting AI applications inside Philippine data centers and offering advanced computing services to corporate customers.
The strategic shift comes as Converge’s traditional residential broadband business slows while corporate demand for connectivity, cybersecurity, cloud computing and digital infrastructure continues to accelerate.
During the first nine months of 2026, Converge generated ₱34.2 billion in consolidated revenue, an increase of 3.9% year over year.
Its enterprise business surged 22% to ₱6.4 billion, while residential broadband revenue inched up just 0.5% to ₱27.9 billion.
The financial divergence is becoming increasingly difficult to ignore.
For investors, the central question is whether Converge can transform its extensive fiber network, international submarine cables and data centers into a much more profitable AI-powered business.
Or will the enormous costs of artificial intelligence infrastructure create another financial challenge just as residential broadband growth begins to lose momentum?
Dennis Uy Says AI Is Here to Stay — And Converge Wants a Piece of the Market
Speaking during Converge’s quarterly results briefing on November 9, Uy emphasized that artificial intelligence is fundamentally changing the technology industry.
Rather than treating AI as a passing investment trend, the company is examining how its existing infrastructure can support new commercial services.
One proposal involves GPU-as-a-service, a business model that allows customers to rent access to high-performance computing processors instead of purchasing and maintaining their own expensive hardware.
GPUs, including those produced by Nvidia, are widely used to train and run sophisticated artificial intelligence systems.
For businesses, accessing these processors through a service provider could reduce the need for major upfront investments in computing equipment.
For Converge, the opportunity is to build new recurring revenue streams on top of the fiber and data-center infrastructure it has already developed.
The company is also evaluating locally hosted AI systems and services that could help customers operate artificial intelligence applications closer to their Philippine operations.
However, Uy stressed that future investments must generate commercial returns.
Converge has not announced a definitive launch date, pricing structure or investment budget for its proposed GPU-as-a-service business.
It has also not disclosed a commercial partnership with Nvidia for this initiative.
The strategy remains under evaluation rather than a confirmed new product rollout.
Converge’s ₱34.2 Billion Revenue Reveals a Growing Divide
Converge’s latest earnings provide a clear explanation for its interest in new technology businesses.
For the January-to-September 2026 period, the company reported:
- Consolidated revenue: ₱34.2 billion, up 3.9%.
- Enterprise revenue: ₱6.4 billion, up 22%.
- Residential revenue: ₱27.9 billion, up approximately 0.5%.
- EBITDA: ₱19.9 billion.
- EBITDA margin: 58%.
- Net income after tax: Approximately ₱8.1 billion, down around 9% year over year.
- Residential subscribers: Approximately 3.1 million as of September 30.
The contrast between corporate and household broadband demand is significant.
Enterprise revenue represented nearly 19% of Converge’s total sales during the nine-month period.
Its enterprise and large corporate subsegment recorded 29.3% revenue growth, while its small and medium enterprise business expanded by 15.4%.
These gains helped offset slower growth in the much larger residential business.
However, net profit declined despite higher overall revenue, showing that expanding sales does not automatically translate into stronger bottom-line earnings.
For shareholders, that distinction matters as Converge considers further investment in AI computing and data-center infrastructure.
Why Residential Broadband Growth Is Slowing
Converge has grown into one of the Philippines’ largest fiber broadband providers, serving millions of households across the country.
Its aggressive network rollout helped it challenge established telecommunications players by offering high-speed fiber services.
But the market is entering a more difficult phase.
Consumer purchasing power has been affected by inflation and broader economic pressures.
At the same time, competition among internet providers continues to influence subscription prices, promotions and customer acquisition costs.
Converge’s residential subscriber base increased by approximately 6% year over year to 3.1 million at the end of September.
However, residential revenue grew only 0.5%.
That suggests subscriber growth is not translating into a comparable increase in revenue, partly because of lower average spending per customer and changes in the subscriber mix.
The company has also acknowledged challenges in the prepaid broadband market, where financially pressured households may be more sensitive to pricing.
Converge is exploring the possibility of a more affordable broadband package priced at around ₱500 per month.
But executives say the proposal is still being evaluated for commercial sustainability.
The company has not confirmed a launch.
This creates an important strategic challenge: Converge must continue expanding digital access while protecting the profitability of its existing broadband business.
From Internet Provider to AI Infrastructure Company
Converge’s emerging strategy rests on a major advantage it has spent years developing: ownership of digital infrastructure.
The company has invested in nationwide fiber networks, international submarine cables, data centers and cloud platforms.
These assets could become increasingly valuable as businesses move more applications into cloud environments and deploy AI-powered systems.
Instead of generating revenue only from internet subscriptions, Converge could potentially offer multiple services to the same enterprise customers.
These might include:
- Business connectivity and dedicated internet services.
- Data-center hosting and colocation.
- Cloud computing and locally hosted workloads.
- GPU computing capacity for AI applications.
- Cybersecurity and managed enterprise services.
- Wholesale international bandwidth.
The strategy would allow Converge to participate in a larger portion of the digital economy.
In earlier reporting, WWC ONE MEDIA examined how Converge is building a domestic digital infrastructure platform for AI, cloud computing and Philippine data sovereignty.
That expansion includes the company’s AI-ready Angeles Data Center in Pampanga and its broader network of domestic and international connections.
The challenge now is converting infrastructure investment into commercially successful technology services.
Why Nvidia GPUs Could Become Converge’s Next Business Opportunity
Artificial intelligence requires substantial computing power.
Large AI models often use clusters of specialized processors to handle training, inference and complex data processing.
Purchasing this equipment can be expensive, particularly for businesses that do not require continuous access to large computing systems.
GPU-as-a-service addresses that problem by allowing customers to pay for access to computing capacity.
Under such a model, businesses can potentially run AI applications without owning the underlying hardware.
For Converge, the opportunity could be particularly attractive because its existing fiber network can connect business customers to data centers housing these systems.
However, the business model involves significant costs and technical challenges.
High-performance AI processors require substantial electricity, cooling, secure facilities and specialized operations.
They can also become technologically outdated as newer chips enter the market.
Converge would need to establish whether customer demand is sufficient to justify the equipment and operating costs.
The company could also face competition from established global cloud providers and other domestic data-center operators.
Importantly, Converge is studying access to GPUs such as those produced by Nvidia. That does not mean the company has signed a supply agreement with Nvidia or confirmed a deployment of Nvidia-powered AI services.
Converge’s International Cable Investments Are Already Paying Off
One of the strongest elements of Converge’s growth strategy is its international connectivity infrastructure.
The company has invested in the Bifrost and SEA-H2X submarine cable systems to connect the Philippines more effectively with international markets.
Bifrost provides connectivity across Southeast Asia and the Pacific toward the United States.
SEA-H2X strengthens connectivity among the Philippines and other Asian destinations.
During Converge’s latest earnings briefing, Uy said demand for international bandwidth had grown so strongly that the company’s available cable capacity was already oversubscribed.
The demand reflects increasing international data consumption and the needs of cloud and technology customers.
These investments are also becoming important for network reliability.
In October, a disruption to a Philippines-Singapore submarine cable route highlighted the importance of having alternative international connections.
Converge was able to reroute traffic through other paths, particularly Bifrost, limiting service interruptions.
For enterprise customers, reliability is a major selling point.
Banks, retailers, cloud-service providers and outsourcing companies depend on consistent digital connections to conduct everyday operations.
As more businesses adopt AI applications and cloud services, demand for reliable domestic and international data networks could continue increasing.
Philippine BPO Industry Faces an AI Disruption — And Converge Is Watching Closely
Artificial intelligence is creating both opportunities and risks for Converge.
One area of concern involves the Philippine business process outsourcing industry.
BPO companies represent an important customer segment for enterprise telecommunications services.
These businesses depend on reliable connectivity for customer support, technical assistance, financial processing and other outsourced operations.
But AI is changing how many of those tasks are performed.
Automated customer-service systems can now handle routine inquiries, summarize conversations and assist employees with repetitive processes.
Some companies are using AI tools to improve productivity, while others are reassessing staffing requirements and service-delivery models.
For Converge, these developments could affect the size and type of connectivity services BPO customers require.
However, they could also create new demand for data-center services, cybersecurity, computing infrastructure and cloud platforms.
Chief operating officer Benjamin Azanza said BPOs remain an important market, but the company is also pursuing customers in banking, retail, education and smaller enterprises.
The strategy is designed to reduce dependence on any single industry while expanding the range of technology services Converge can offer.
The changing employment landscape has already become a major issue in the Philippines.
WWC ONE MEDIA examined how a major BPO employer is teaching applicants AI skills before hiring them, highlighting the growing importance of digital skills in the country’s outsourcing industry.
For Converge, the AI transformation of BPOs presents a strategic test.
Can the company profit from the technologies changing its customers’ businesses, rather than simply losing revenue as those customers automate operations?
Data Centers Could Become the Next Major Battleground
Converge is also exploring additional data-center investments as demand for cloud and AI computing infrastructure grows.
Executives have identified Cavite, Laguna and Batangas as potential locations for future facilities.
The company is considering two additional data centers, although final site selections and investment commitments have not been announced.
Management said future decisions would depend on several commercial and technical factors.
These include power availability, access to fiber networks, flood and typhoon risks, and customer location preferences.
A critical part of the strategy involves securing customer demand before making large construction commitments.
That approach is important because data centers require considerable capital expenditure.
They also depend on reliable electricity, cooling systems, physical security and uninterrupted network connectivity.
These costs can become especially significant when facilities are designed for high-density AI computing.
The Philippine data-center industry is already attracting investment from telecommunications companies, infrastructure developers and energy businesses.
That proposed collaboration highlights how closely digital infrastructure development is becoming linked to electricity supply.
For Converge, competitive power costs and reliable energy access could be just as important as fiber connectivity in determining the commercial success of future AI facilities.
Converge Is Also Exploring Local AI Models
Beyond GPU computing, Converge is considering how different artificial intelligence models could be made available to enterprise customers.
One concept involves systems that can route AI requests to different models depending on cost and technical requirements.
For example, some business tasks may be handled by lower-cost AI models, while more complex applications may require specialized computing resources.
This approach could help customers manage the cost of using artificial intelligence.
Locally hosted models may also appeal to organizations concerned about data residency, security and operational control.
The Philippines’ expanding digital infrastructure and evolving government data policies could support additional demand for domestic cloud services.
However, operating local AI platforms would create technical and regulatory responsibilities.
Converge would need to address privacy, cybersecurity, model performance, service reliability and the ongoing cost of maintaining computing resources.
The company has not announced a finalized commercial offering for these proposed AI services.
Could AI Help Converge Compete With Globe and PLDT?
The Philippine telecommunications market is evolving beyond the traditional battle for household internet subscriptions.
Globe Telecom and PLDT are also investing in cloud computing, enterprise solutions, data centers and AI-enabled services.
The competitive environment is shifting toward a broader collection of digital services.
For Converge, this presents both a threat and an opportunity.
The company has an extensive fiber network and a growing enterprise business.
But established competitors have their own infrastructure, customer relationships and technology partnerships.
Global cloud providers also offer computing platforms that Philippine businesses can access directly.
Converge must therefore demonstrate that its combination of local connectivity, data hosting and technical support creates a compelling reason for customers to purchase additional services from the company.
Local data hosting, reduced latency, dedicated connectivity and industry-specific support could provide competitive advantages in some applications.
But none guarantees profitability.
The company’s ability to price new products competitively while maintaining attractive margins will determine whether AI becomes a meaningful new earnings driver.
Strong EBITDA, Falling Net Profit: What Investors Need to Know
Converge’s financial position provides both encouragement and caution.
The company generated ₱19.9 billion in EBITDA during the first nine months of 2026, maintaining a margin of approximately 58%.
That indicates substantial earnings before interest, taxes, depreciation and amortization.
However, net income declined roughly 9% to ₱8.1 billion.
The decline shows that higher revenue and strong EBITDA do not necessarily guarantee rising profits after other expenses are recognized.
For a capital-intensive business, depreciation, financing costs, taxes and ongoing infrastructure investment can significantly influence reported earnings and cash flow.
These issues become even more important when evaluating potential AI data-center projects.
GPU infrastructure can require large initial investments and substantial continuing operating expenses.
Before committing significant capital, Converge would need to assess customer demand, utilization rates, pricing and expected returns.
Investors should therefore distinguish between the company’s existing profitable connectivity operations and new AI opportunities that have yet to demonstrate commercial results.
A major AI announcement may attract market attention, but sustainable earnings growth requires paying customers and disciplined investment.
What Investors Should Watch Next
Several developments could determine whether Converge successfully transitions into a larger AI and enterprise technology company.
First: Enterprise revenue growth.
The company’s corporate business is expanding significantly faster than residential broadband.
Maintaining that momentum could help offset slower household subscription revenue.
Second: Commercial launch of AI services.
Investors will be watching for concrete announcements concerning GPU-as-a-service, local AI platforms, customer contracts and capital requirements.
Third: Data-center expansion.
Converge’s decisions concerning potential new facilities in Southern Luzon could provide evidence of how aggressively it plans to pursue computing infrastructure.
Fourth: International bandwidth monetization.
The company’s Bifrost and SEA-H2X investments could generate additional revenue as enterprise and wholesale demand increases.
Fifth: Profitability and capital expenditure.
Higher revenue will need to translate into sustainable cash flow and returns on investment.
Sixth: BPO transformation.
Changes in outsourcing employment, AI adoption and corporate connectivity requirements could reshape one of Converge’s important enterprise markets.
These developments will help determine whether AI becomes a meaningful commercial business for Converge or remains primarily a long-term strategic ambition.
The Bigger Picture: Dennis Uy’s Next Billion-Peso Opportunity
Dennis Anthony Uy helped transform Philippine broadband competition by investing heavily in fiber connectivity.
Now, he is confronting another major technological shift.
Artificial intelligence is changing the way businesses use computing infrastructure, manage data, serve customers and organize their workforces.
Those changes threaten some traditional revenue streams while creating demand for entirely new services.
Converge already possesses several assets that could support an expanded role in the digital economy: a large domestic fiber network, international submarine cable connections, data centers and a growing corporate customer base.
Its enterprise revenue is expanding at a double-digit pace even as residential broadband growth slows.
But the company has yet to demonstrate that GPU-as-a-service or other proposed AI businesses can become major sources of recurring earnings.
The next challenge is execution.
Converge must identify commercially attractive AI products, secure customers, control infrastructure costs and preserve its financial strength while competing against domestic telecommunications rivals and global technology providers.
For shareholders, the company’s future growth story may increasingly depend on what it can sell beyond internet access.
Dennis Uy has already built one of the Philippines’ major fiber broadband businesses. But as artificial intelligence transforms the economy, can he turn Converge into a powerful AI infrastructure company—or will rising costs, slowing consumer demand and fierce competition make his next big bet harder than the first?
