Polymarket Faces New Roadblock As Dutch Regulator Bans Prediction Activity — Details

bitcoinistPublicado em 2026-02-22Última atualização em 2026-02-22

Resumo

Polymarket's Dutch operations, under the entity Adventure One, have been ordered to cease all activities by the Netherlands Gambling Authority (Ksa) for offering unlicensed prediction markets, which the regulator classifies as illegal gambling. The platform faces potential fines of up to $840,000 per week for non-compliance. This action is the latest regulatory challenge for Polymarket, creating a conflict between US federal approval and state-level scrutiny. The news coincides with a recent parliamentary proposal in the Netherlands to introduce a controversial 36% tax on unrealized gains from cryptocurrencies and other investments, a move critics warn could drive investors out of the country.

According to recent reports, the Dutch arm of the prediction markets platform Polymarket has been asked to cease its activities in the Netherlands. This order comes as the latest regulatory blow dealt to the prediction market platform in recent weeks.

Dutch Regulator Threatens Polymarket With $840,000 Fine

In a notice dated Tuesday, February 17, the Netherlands Gambling Authority ordered Polymarket’s Dutch arm, Adventure One, to “cease its activities immediately” or risk incurring up to $840,000 in fines per week. According to the Dutch regulator, Adventure One offered illegal bets, including on the local elections, to residents without a license.

While prediction markets do not particularly fall into the traditional gambling category, the Netherlands Gambling Authority has classified them as betting. The regulator revealed that it contacted Polymarket about its activities on the Dutch market, but have seen no corrective action or response from the prediction markets company.

Netherlands Gambling Authority’s director of licensing and supervision, Ella Seijsener, said in the notice:

Prediction markets are on the rise, including in the Netherlands. These types of companies offer bets that are not permitted in our market under any circumstances, not even by license holders. Besides the social risks of these kinds of predictions (for example, the potential influence on elections), we conclude that this constitutes illegal gambling. Anyone without a Ksa license has no business in our market. This also applies to these new gambling platforms.

This restriction in the Netherlands marks the latest stumbling block for Polymarket in terms of regulation over the past few months. Despite receiving approvals from the United States Commodity Futures Trading Commission (CFTC), individual state authorities have placed significant scrutiny on the activities of prediction market platforms.

This has led to an issue of jurisdiction, as the CFTC chair criticized the state-level scrutiny which undermines their federal authority over prediction markets.

Dutch Unrealized Gains Tax On Crypto Rolls On

This crackdown on prediction markets comes just a week after the Dutch House of Representatives advanced a proposal to introduce a 36% capital gains tax on most liquid investments, including cryptocurrencies. This controversial bill, if passed, would see profits made from interest-bearing financial instruments, equity investments, cryptocurrencies, and savings accounts be subject to tax, whether realized or not.

The proposal of this capital gains tax led to interesting reactions, with several crypto analysts noting that the legislation will drive investors out of the Netherlands. “To be honest, the fact that there’s the unrealized gains tax for Bitcoin in the Netherlands is the dumbest thing I’ve seen in a long time. The amount of people willing to flee the country is going to be bananas,” analyst Michaël van de Poppe said on X.

The price of BTC on the daily timeframe | Source: BTCUSDT chart on TradingView

Perguntas relacionadas

QWhat action did the Dutch Gambling Authority take against Polymarket's Dutch arm, Adventure One?

AThe Dutch Gambling Authority ordered Adventure One to cease its activities immediately or face fines of up to $840,000 per week.

QWhat was the primary reason given by the Dutch regulator for banning Polymarket's activities?

AThe regulator classified Polymarket's prediction markets as illegal gambling, stating they offered bets that are not permitted in the Dutch market without a license, including on events like local elections.

QHow did the director of licensing, Ella Seijsener, justify the crackdown on prediction markets?

AElla Seijsener stated that prediction markets offer illegal bets, pose social risks such as potential influence on elections, and constitute illegal gambling that requires a license to operate in the Netherlands.

QWhat recent tax proposal in the Netherlands has also impacted the crypto space?

AThe Dutch House of Representatives advanced a proposal to introduce a 36% capital gains tax on most liquid investments, including cryptocurrencies, taxing both realized and unrealized gains.

QWhat concern did crypto analyst Michaël van de Poppe raise about the proposed Dutch tax on unrealized crypto gains?

AMichaël van de Poppe called the tax 'the dumbest thing I’ve seen in a long time' and predicted that it would cause a significant number of people to flee the country.

Leituras Relacionadas

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbitHá 9h

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbitHá 9h

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbitHá 10h

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbitHá 10h

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbitHá 11h

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbitHá 11h

Trading

Spot
Futuros
活动图片