Stablecoins break into top 3 growth drivers for Web3 gaming: BGA 2025 report

cointelegraphPubblicato 2025-12-10Pubblicato ultima volta 2025-12-10

Introduzione

According to the Blockchain Gaming Alliance's 2025 report, stablecoin adoption has emerged as a top-three growth driver for Web3 gaming for the first time, alongside high-quality game launches and revenue-driven business models. This reflects a shift away from speculative token cycles and reliance on major Web2 brands, indicating the industry's growing focus on fundamentals, sustainable infrastructure, and commercially viable games. The report highlights a five-year evolution in developer priorities, moving from external catalysts like play-to-earn hype to improved user experience and now to polished gameplay and stablecoin-integrated payment systems. Stablecoins are seen as crucial for enabling frictionless, fiat-like transactions in game economies. Additionally, dependence on traditional gaming publishers has significantly decreased, with interoperability, AI integration, and creator economies gaining prominence.

Blockchain game builders are increasingly prioritizing fundamentals and infrastructure over token-fuelled growth cycles, with stablecoin adoption emerging as one of the top three catalysts for the first time, according to the latest report from the Blockchain Gaming Alliance (BGA).

On Wednesday, the BGA published its 2025 State of the Industry Report, which shows a shift in what builders believe will drive success in blockchain gaming.

According to the report, the top three growth drivers were high-quality game launches (29.5%), revenue-driven business models (27.5%) and stablecoin adoption in payments (27.3%).

The findings suggest the industry is stepping back from speculative cycles and reliance on big Web2 brands and instead prioritizing commercially viable games built on Web3-native transaction rails.

“What we’re seeing in the data is an industry becoming more global, more disciplined, and more focused on building great games for real players,” said Sebastien Borget, the co-president of the BGA and co-founder of The Sandbox.

Key factors that are perceived to drive the growth of the blockchain gaming industry. Source: BGA Survey

How blockchain gaming drivers have evolved in the last five years

The report reflected a notable five-year evolution in what blockchain gaming builders believe will move the sector forward.

From 2021 to 2023, survey participants heavily favored external catalysts, which include play-to-earn (P2E) hype and hopes that major Web2 publishers would validate the sector’s legitimacy by getting involved.

By 2024, sentiment shifted over to improving user experience, accessibility and onboarding after friction and repetitive game loops stalled Web3 gaming adoption.

This year, the survey suggested further maturity. Developers increasingly tied success to polished gameplay, sustainable monetization and infrastructure that supports spending.

Stablecoins, long a core component of decentralized finance, are now seen as instrumental to game economies, the report said.

It also suggests that frictionless payment experiences, similar to fiat, could contribute to the success of Web3 games.

Related: Animoca, Solv to help Japanese Bitcoin companies generate yield

Waning dependence on Web2 gaming giants

The survey also shows a sharp drop in perceived reliance on traditional gaming giants. Only about 17.2% of respondents now view legacy publishers as key growth catalysts, down from 35.8% in 2024.

Instead of this, interoperability (26.1%), artificial intelligence integration (25.9%) and player-driven creator economies (25.5%) followed closely behind the top three drivers.

Developers’ growing focus on stablecoin rails mirrors broader policy momentum.

Regulatory frameworks for stablecoins are advancing rapidly worldwide, with the United States leading the way with the GENIUS Act and Europe implementing its Markets in Crypto-Assets (MiCA) framework.

Magazine: Koreans ‘pump’ alts after Upbit hack, China BTC mining surge: Asia Express

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In early June, South Korea's stock market experienced a sharp decline, with the KOSPI index dropping over 5% and triggering a trading halt. Amid this volatility, NVIDIA CEO Jensen Huang's visit to Seoul provided a dramatic boost to market sentiment. During his trip, Huang held a dinner meeting with SK Group Chairman Chey Tae-won and SK Hynix CEO Kwak Noh-Jung. He announced that NVIDIA's new Vera CPU would utilize SK Hynix DRAM and confirmed a multi-year technical collaboration between the two companies. This partnership aims to co-develop next-generation memory for NVIDIA's AI infrastructure roadmap, covering products from data center supercomputers to personal AI devices. Huang also publicly commented that AI company stocks were attractively priced. A key announcement was that NVIDIA's upcoming Vera Rubin AI supercomputer systems will use HBM4 memory, with supply qualifications granted to all three major suppliers: SK Hynix, Samsung Electronics, and Micron Technology. Despite this multi-sourcing strategy, Huang warned that the industry-wide chip shortage, affecting everything from wafers to packaging, is expected to persist for several years due to relentless demand from global AI factory construction. The collaboration extends beyond memory supply. SK Hynix will employ NVIDIA's AI platforms and Omniverse digital twin technology to enhance its own semiconductor design, simulation, and manufacturing processes, aiming for more autonomous factory operations. This visit builds upon a prior October 2025 agreement for SK Group to build a large-scale AI data center using over 50,000 NVIDIA GPUs. Huang's itinerary also included meetings with other Korean giants like Hyundai, LG, and Samsung, indicating NVIDIA's broader strategy to deepen ties with South Korea's tech industry.

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Huang Renxun Dramatically 'Saves' South Korean Stock Market

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When Inference Becomes the Scarce Resource, Who Captures the Value? The core AI bottleneck has shifted from model training to inference (runtime execution). While concerns persisted about an "AI compute gap"—initially a $200B, now a $600B problem—the market is now recognizing that the solution and value lie in the inference layer. Nvidia's financial restructuring around "serving tokens" and Cerebras's successful IPO highlight this shift. Inference is a recurring, usage-based cost, estimated to be 10-50x larger than the one-time training market, especially with the rise of agentic AI. The inference stack spans six layers: silicon (e.g., Nvidia), bare metal (e.g., CoreWeave), GPU rental/aggregation, deployment/optimization, model APIs, and end applications. Most companies operate in one layer. However, Hyperbolic uniquely spans three layers (GPU rental, deployment, and model APIs) without owning any hardware. It aggregates fragmented GPU supply from multiple cloud providers into a standardized pool, offering developers the cheapest available compute through intelligent routing. Its multi-cloud aggregation creates a data moat and a flywheel: more supply leads to better pricing data and liquidity, attracting more developers and providers. In contrast, applications like Venice operate at the top of the stack, reselling privacy-wrapped inference but remaining dependent on and constrained by the underlying compute costs they purchase. As inference demand explodes, value accrues not just to consumer applications but increasingly to the aggregation and routing layer that captures their cost of revenue. The coming potential GPU oversupply reinforces this dynamic. While hardware owners may suffer from depreciation, asset-light aggregators like Hyperbolic benefit from price arbitrage, routing workloads to the cheapest available capacity. The ultimate winner in the inference economy may not be the entity with the most GPUs, but the one that can most efficiently discover, aggregate, and route the world's fragmented compute.

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When Inference Becomes a Scarce Resource, Who Captures the Value?

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