Thailand moves carefully with AI regulation as US tech warns over key provisions hindering investment

September 29, 2026 at 10:26 am

in Economy , Living , Media , Politics , Thailand

Thailand is racing towards binding AI regulation as US technology interests push back against rules that could hit American tech giants. The proposed law targets high-risk AI, liability, local processing and overseas providers. Meanwhile, Bangkok is courting huge US investment in AI, cloud computing and data centres. Yet Thailand has also committed to trusted cross-border data flows with Washington. US business groups are already challenging localisation and liability provisions. Digital Economy and Society Minister Chaichanok Chidchob now sits at the centre of a regulatory battle with major implications for Thailand’s digital economy and US trade ties.

Thailand’s AI law draws US tech pushback over liability and data localisation as Digital Economy and Society Minister Chaichanok Chidchob and Deputy Minister of Digital Economy and Society Nan Boontida Somchai steer the new rules. ( Source: Thai Government )

Thailand is pushing towards binding artificial intelligence regulation as US technology interests challenge important provisions in its proposed regime. The emerging rules could directly affect major American AI, cloud and technology companies operating in Thailand.

At the same time, Bangkok is courting huge foreign investment in cloud computing, data centres and AI. The result is a sensitive intersection between regulation, investment and Thailand’s expanding digital trade relationship with Washington.

At the centre is Thailand’s Draft Artificial Intelligence Act, published for consultation in July 2026. The Electronic Transactions Development Agency (ETDA) is developing the legislation under the Digital Economy and Society Ministry.

Accordingly, Digital Economy and Society Minister Chaichanok Chidchob is the senior Cabinet figure overseeing the emerging framework. Deputy Digital Economy and Society Minister Nan Boontida Somchai is also directly involved in the process.

Thailand’s draft AI law advances as ministers oversee a shift towards binding risk-based regulation

On July 17, Ms Nan chaired discussions with ETDA director Chai Chana Mitrpant on the proposed AI legislation. Those talks also covered the proposed Digital Platform Economy Act. For now, however, Thailand does not have an enacted AI Act.

The consultation closed on August 14, while officials are now processing submissions. The supplied material shows no Cabinet or parliamentary enactment by late September.

Still, the draft marks a significant change in Thailand’s approach towards artificial intelligence. Until now, the country has relied heavily on voluntary AI-governance guidelines. ETDA is instead developing a binding, risk-based regulatory system influenced substantially by the European Union. Even so, the proposed Thai system is not simply a copy of the EU AI Act. ETDA says it seeks to protect rights and public safety without obstructing technological development.

Notably, the proposed law could reach far beyond companies incorporated in Thailand. An overseas provider could fall under the legislation when its AI systems affect people inside Thailand. That potentially brings major US technology companies within its reach when supplying products into the Thai market. These could include OpenAI, Google, Microsoft, Meta and Amazon Web Services.

Draft AI rules reach US technology firms with risk controls, transparency and local processing demands

Under the draft, artificial intelligence would be divided according to risk. Certain uses could be prohibited, while high-risk systems would face substantially heavier requirements. Elsewhere, other AI activities could require registration, notification or licensing. Generative AI, chatbots and deepfakes could also face specific transparency requirements.

As part of this, the proposed system reaches AI-generated and AI-modified material. Prescribed content could require machine-readable indicators showing that artificial intelligence was involved. Digital platforms could then face obligations concerning detection of those indicators. Separately, overseas providers supplying high-risk AI could be required to appoint local representatives or coordinators.

More significantly, data localisation presents one of the draft’s most important commercial issues. Government and critical-information-infrastructure AI could become subject to localisation requirements.

Regulators could designate information or activities requiring AI processing inside Thailand. In addition, contracts involving providers serving government bodies or critical infrastructure could face mandatory terms.

For international cloud providers, those provisions could carry substantial operational consequences. Modern hyperscale systems routinely distribute processing and storage across countries and regional data-centre networks. As a result, mandatory local processing could require changes to established infrastructure arrangements. It could also raise operating costs for providers serving Thai customers.

AI sandboxes sit beside tough enforcement powers as strict and joint liability raises industry concerns

In parallel, the proposed framework offers regulatory sandboxes rather than relying entirely on restrictions. These could allow controlled AI experimentation and potentially provide access to datasets. A national data-sharing mechanism is also envisaged. ETDA has presented these measures as part of Thailand’s developing AI-governance system.

Enforcement, however, could carry considerable force. Regulators could ultimately order the suspension of non-compliant AI deployments. They could also order recalls. In serious cases, non-compliant AI systems could potentially be blocked inside Thailand. Thus, enforcement could move well beyond conventional financial penalties.

Another major commercial issue involves liability. Legal analyses cited in the supplied material say the draft creates strict and joint liability. Strict liability could apply without the conventional requirement to establish negligence. Joint liability could also expose several participants in an AI supply chain to the same claim.

That matters because modern AI services frequently involve several companies performing different functions. One company may develop the foundation model, while another supplies cloud infrastructure. An application developer could then build a product using that model. A platform could distribute it, followed by an enterprise customer and final user.

US technology groups challenge liability and localisation as direct engagement with Thai regulators grows

In practice, responsibility for one AI service can therefore be spread across numerous businesses. The model developer might never deal directly with the final customer. Likewise, a cloud company might supply computing capacity without controlling the finished application. Yet joint liability could potentially expose participants to damage arising elsewhere within that chain.

In response, the Business Software Alliance filed recommendations with Thailand on August 14. The organisation represents major international software and cloud interests. Importantly, it supported risk-based AI regulation. It nevertheless sought substantial changes to several provisions in Thailand’s proposed framework.

Specifically, the group urged Thailand to remove strict and joint liability. It also opposed data-localisation requirements and government control over contractual provisions. Furthermore, it sought clearer responsibility between different companies participating in AI supply chains. International technology industry concerns are therefore already formally before Thai regulators.

US business engagement in Bangkok has also intensified. On August 18, the American Chamber of Commerce in Thailand met a US Chamber of Commerce AI delegation. The proposed Thai AI Act formed part of those discussions. The proposed Platform Economy Act and cybersecurity amendments were also considered.

US business talks intensify as Thailand’s AI rules meet new digital trade commitments with Washington

Six days before September’s end, that dialogue remained active. On September 22, ETDA legal officer Hattapong Hirunrat briefed AMCHAM’s Digital Governance Council. The meeting covered high-risk AI, developers and service providers. Certification, standards and regulatory sandboxes were also discussed. AMCHAM members considered areas where they could contribute to development of the legislation.

By then, the issue had moved beyond an internal Thai regulatory exercise. American business organisations were directly discussing key provisions with the agency developing them. Meanwhile, the legislation remained unfinished. That left several commercially important provisions open while submissions were still being processed.

On another front, Thailand’s emerging AI regime intersects with its developing trade relationship with Washington. The United States and Thailand have announced a Framework for an Agreement on Reciprocal Trade. Under that framework, both sides committed to finalising provisions addressing barriers affecting digital trade.

Crucially, one stated objective concerns the free transfer of data across trusted borders for conducting business. Thailand also agreed to refrain from measures discriminating against US digital services and products. Those commitments sit alongside the proposed Thai powers to require certain AI processing inside the country.

Thailand must balance localisation powers with cross-border data commitments under its US trade framework

This does not automatically place the draft AI law in breach of the trade framework. Government information, national security and critical infrastructure can require specialised safeguards. Moreover, the final obligations, definitions and exemptions remain important. Nonetheless, Thailand is developing two policies which will ultimately have to operate together.

On one hand, Bangkok has committed to facilitating trusted cross-border commercial data transfers. On the other, its proposed AI regime could require designated processing inside Thailand. Consequently, the final reach of localisation provisions could carry major consequences for international technology companies.

US trade policy has traditionally treated unjustified data localisation as a potential trade barrier. It also challenges requirements forcing companies to provide services through local facilities or infrastructure. Against that backdrop, the eventual breadth of Thailand’s localisation rules could determine the scale of US industry concerns.

A narrowly drafted requirement could principally cover sensitive government or critical-infrastructure information. By contrast, broader powers could reach ordinary cloud computing and commercial AI services. That distinction matters because global providers organise infrastructure regionally rather than separately for every national market.

Thai data-centre rules widen regulatory pressure as localisation could reshape regional cloud operations

Large AI platforms depend heavily on that regional infrastructure. Data can move between facilities while computing workloads are allocated across multiple locations. Hence, compulsory processing inside Thailand could alter established operating models. It could also require additional investment specifically for the Thai market.

Separately, Thailand is opening another regulatory front involving data centres. Prime Minister Anutin Charnvirakul has pushed a new framework covering registration and operating standards. Meanwhile, the country is seeking to establish itself as a regional digital hub.

A September draft proposal would introduce new licensing, environmental and resource requirements for data centres. Those proposals cover electricity and water consumption. They also address cloud security and data storage. Some localisation proposals have reportedly extended to Thai data.

Taken together, the regulatory questions confronting international technology companies therefore extend well beyond the proposed AI Act. Thailand is simultaneously developing rules covering artificial intelligence, digital platforms and cybersecurity. Data centres and data sovereignty are also part of the wider push. Collectively, those measures could change operating conditions for major international technology providers.

Liability, sector regulation and AI labelling add further compliance pressure for global technology firms

Within the AI legislation itself, data localisation represents only one pressure point. Liability presents another. Foundation-model development involves businesses performing sharply different roles. Yet joint liability could expose one participant to damage originating elsewhere within that chain. The Business Software Alliance specifically challenged that feature.

Regulatory fragmentation creates a further issue. Thailand intends sector regulators to play substantial roles in identifying and supervising high-risk AI applications. This approach gives specialist regulators oversight within their existing fields. Multinational providers could, however, face differing interpretations across several industries.

Those industries could include finance, telecommunications, healthcare and consumer services. Accordingly, companies could face central AI requirements alongside separate sector rules. The exact boundaries would therefore become important for providers operating across several parts of the economy.

Generative-AI labelling creates another potential regulatory pressure point. International work is already advancing on technical methods for identifying AI-generated content. Here, the technical standard eventually adopted by Thailand could matter significantly.

US industry backs global standards as Thailand weighs blocking powers while still courting tech investment

The Business Software Alliance has previously warned Thailand against creating a unique national authentication standard. Instead, it supported interoperable international mechanisms such as C2PA. A Thailand-only requirement could therefore force global platforms to develop additional functionality for one national market.

Extraterritorial enforcement adds further weight to the proposed regime. Thailand wants to regulate overseas providers when their AI systems affect Thai users. Such provisions are increasingly common internationally. Even so, proposed blocking powers would give Thai regulators considerable enforcement leverage.

A dispute involving a major US provider could therefore move beyond a conventional regulatory fine. Ultimately, service availability inside Thailand could become involved. That would make compliance questions materially different from a system relying mainly on financial penalties.

Despite the tighter rules, Bangkok continues courting international technology investment. Digital Economy and Society officials participated in the Thailand-US Trade and Investment Summit in August. There, officials stressed innovation and investment alongside AI safety and governance.

Chaichanok promotes interoperable AI rules as key provisions remain unsettled after industry consultation

Mr Chaichanok has also taken Thailand’s AI policy onto the international stage. In Geneva during July, he promoted Thailand as a possible real-world “AI Governance Sandbox”. Significantly, he also argued for internationally interoperable AI rules rather than fragmented regulatory systems.

ETDA has adopted a similar position on technological development. It says it does not want a one-size-fits-all system obstructing innovation. As a result, its programme combines proposed statutory controls with voluntary governance measures. These include regulatory sandboxes, ethical-impact assessments and red-team testing.

Even so, major details of the binding legislation remain under discussion. Thailand has established the broad architecture, but final obligations for international companies remain unsettled. The July-August consultation has finished. US technology interests have already used that process to challenge several important provisions.

Since then, direct engagement has continued. The September 22 AMCHAM meeting showed discussions were still active late this month. Data localisation remains one of the most significant issues. Strict and joint liability provides another major point of contention.

Foreign AI and cloud providers face Thai obligations as Bangkok moves towards binding statutory controls

Beyond those questions, foreign foundation-model developers face uncertainty over their responsibilities inside Thailand. Cloud providers could also face localisation requirements. Technical standards and AI-content labelling remain significant. Sector regulators could additionally gain substantial responsibility for defining and supervising high-risk applications.

At the same time, Thailand must develop these rules alongside its digital-trade commitments with Washington. Bangkok is also seeking major American investment in AI, cloud infrastructure and data centres. Some companies being courted as investors could therefore face substantial new Thai regulatory requirements.

For now, Thailand has a serious Draft Artificial Intelligence Act rather than an enacted AI law. Still, the policy direction contained in the supplied material is clear. Bangkok is moving away from predominantly voluntary AI governance towards binding statutory controls.

US technology groups seek changes as data localisation emerges as a key issue in Thailand’s unfinished law

Meanwhile, US technology interests are seeking changes before that framework becomes law. Thailand is also developing separate rules for platforms, cybersecurity and data centres. In combination, those initiatives amount to a much wider digital regulatory programme.

Above all, the final scope of data localisation could carry particular importance. Thailand has committed to trusted cross-border data transfers for conducting business. Yet the proposed AI framework could empower regulators to require designated processing inside Thailand.

Ultimately, the final wording, definitions and exemptions will determine how those two approaches operate together. The legislation remains unfinished. Nevertheless, negotiations over its most commercially significant provisions are already well underway.

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Joseph Anthony is an expat from Ireland who has lived in Thailand for the last decade. He has worked extensively in the media including editorial positions in Ireland and Thailand. He is focused on economic and business stories in Thailand as well as the expat lifestyle.

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2026年9月29日上午10:26

经济、生活、媒体、政治、泰国

泰国正加速推进具有约束力的AI监管，而美国科技利益集团则反对可能对美国科技巨头造成冲击的规则。拟议的法律针对高风险AI、责任限制、本地处理和海外供应商。与此同时，曼谷正积极争取美国对AI、云计算和数据中心的巨额投资。然而，泰国也承诺与华盛顿建立可信赖的跨境数据流动。美国商业团体已经开始对本地化和责任条款提出质疑。数字经济和社会部长猜猜诺·奇乔布（Chaichanok Chidchob）如今身处这场监管之争的中心，这场斗争将对泰国的数字经济和美泰贸易关系产生重大影响。

泰国人工智能法案因责任认定和数据本地化问题引发美国科技公司的反对，数字经济与社会部长猜占诺·奇乔和数字经济与社会部副部长南·汶提达·颂猜主导了新规的制定。（来源：泰国政府）

泰国正积极推进具有约束力的人工智能监管，而美国科技利益集团则对其拟议监管方案中的一些重要条款提出质疑。这些即将出台的规则可能会直接影响在泰国运营的美国大型人工智能、云计算和科技公司。

与此同时，曼谷正积极吸引大量外资进入云计算、数据中心和人工智能领域。由此便产生了监管、投资以及泰国与华盛顿日益密切的数字贸易关系之间错综复杂的交汇点。

核心是泰国的《人工智能法草案》，该草案于 2026 年 7 月发布征求意见。电子交易发展局 (ETDA) 正在数字经济和社会部的支持下制定该立法。

因此，数字经济与社会部长猜占诺·奇乔是负责监督这一新兴框架的内阁高级官员。数字经济与社会部副部长南·汶提达·颂猜也直接参与了这一进程。

泰国人工智能法案草案取得进展，部长们正监督向具有约束力的风险导向型监管模式转变。

7月17日，楠女士主持了与泰国经济发展署署长柴·查纳·米特潘就人工智能立法提案举行的讨论会。会谈内容还包括拟议的《数字平台经济法》。但目前，泰国尚未颁布人工智能法案。

公众咨询已于8月14日结束，目前官员们正在处理收到的意见。现有材料显示，截至9月底，内阁或议会均未就此作出任何决定。

尽管如此，该草案标志着泰国在人工智能领域的应对方式发生了重大转变。此前，泰国主要依赖自愿性的人工智能治理准则。而泰国能源技术发展局（ETDA）正在制定一套具有约束力的、基于风险的监管体系，该体系深受欧盟的影响。即便如此，泰国提出的这套体系并非欧盟人工智能法案的简单复制。ETDA表示，其目标是在不阻碍技术发展的前提下，保护公民权利和公共安全。

值得注意的是，这项拟议法律的适用范围可能远远超出在泰国注册成立的公司。如果一家海外供应商的人工智能系统影响到泰国境内的民众，那么它也可能受到该法律的约束。这意味着，当美国大型科技公司向泰国市场供应产品时，它们可能也会受到该法律的管辖。这些公司可能包括OpenAI、谷歌、微软、Meta和亚马逊网络服务（AWS）。

人工智能规则草案已送达美国科技公司，其中包含风险控制、透明度和本地处理要求。

根据草案，人工智能将按风险等级划分。某些用途可能被禁止，而高风险系统将面临更为严格的要求。此外，其他人工智能活动可能需要注册、通知或获得许可。生成式人工智能、聊天机器人和深度伪造技术也可能面临特定的透明度要求。

作为其中的一部分，拟议系统涵盖人工智能生成和修改的内容。规定的内容可能需要机器可读的指标来表明人工智能的参与。数字平台随后可能需要承担检测这些指标的义务。此外，提供高风险人工智能的海外供应商可能需要指定当地代表或协调员。

更重要的是，数据本地化是该草案中最重要的商业问题之一。政府和关键信息基础设施的人工智能可能需要遵守本地化要求。

监管机构可能会指定需要在泰国境内进行人工智能处理的信息或活动。此外，涉及为政府机构或关键基础设施提供服务的合同供应商可能面临强制性条款。

对于国际云服务提供商而言，这些规定可能会带来重大的运营影响。现代超大规模系统通常会将处理和存储资源分布在各个国家和地区的数据中心网络中。因此，强制本地处理可能需要对现有的基础设施安排进行调整，并且可能会增加服务于泰国客户的云服务提供商的运营成本。

人工智能沙箱机制与强有力的执法权力并存，但严格的连带责任制引发了业界的担忧。

与此同时，该框架提出的方案并非完全依赖限制，而是提供监管沙盒。这些沙盒可以允许进行受控的人工智能实验，并有可能提供数据集访问权限。此外，该框架还设想建立一个国家数据共享机制。泰国能源技术发展局（ETDA）已将这些措施作为泰国正在发展的人工智能治理体系的一部分。

然而，执法力度可能相当强大。监管机构最终可以下令暂停不合规人工智能系统的部署，也可以下令召回。在严重情况下，不合规的人工智能系统甚至可能在泰国境内被禁用。因此，执法措施可能远不止于传统的经济处罚。

另一个重要的商业问题涉及责任认定。所提供材料中引用的法律分析指出，该草案规定了严格责任和连带责任。严格责任的适用无需满足证明过失这一传统要求。连带责任也可能使人工智能供应链中的多个参与者面临同一索赔。

这一点至关重要，因为现代人工智能服务通常涉及多家公司履行不同的职能。一家公司可能开发基础模型，而另一家公司则提供云基础设施。之后，应用程序开发人员可以使用该模型构建产品。平台可以分发该产品，然后分发给企业客户和最终用户。

随着与泰国监管机构的直接接触日益增多，美国科技集团对责任和本地化问题提出质疑。

因此，在实践中，一项人工智能服务的责任可能分散在众多企业之间。模型开发者可能从未直接与最终客户打交道。同样，云服务公司可能只提供计算能力，而不控制最终的应用程序。然而，连带责任可能会使参与者承担供应链中其他环节产生的损失。

作为回应，商业软件联盟于8月14日向泰国提交了建议。该组织代表着主要的国际软件和云计算利益集团。值得注意的是，它支持基于风险的人工智能监管。尽管如此，它仍然要求对泰国拟议框架中的若干条款进行实质性修改。

具体而言，该组织敦促泰国取消严格责任和连带责任。它还反对数据本地化要求以及政府对合同条款的控制。此外，它还要求明确参与人工智能供应链的不同公司之间的责任。因此，国际科技行业的这些担忧已正式提交给泰国监管机构。

美国企业在曼谷的活动也日益频繁。8月18日，美国驻泰国商会会见了美国商会人工智能代表团。双方讨论了泰国人工智能法案草案，以及平台经济法案草案和网络安全修正案。

随着泰国人工智能规则与华盛顿达成新的数字贸易承诺，中美商业谈判日益密切。

9月底前六天，相关对话仍在进行。9月22日，ETDA法律官员哈塔蓬·希伦拉特向美国商会数字治理委员会作了简报。会议内容涵盖高风险人工智能、开发者和服务提供商，以及认证、标准和监管沙盒等议题。美国商会成员探讨了他们可以为相关立法发展做出贡献的领域。

到那时，这个问题已经不再是泰国内部的监管问题。美国商业组织正与负责制定相关条款的机构直接讨论关键条款。与此同时，立法工作仍未完成。这意味着在提交意见的过程中，一些具有重要商业意义的条款仍悬而未决。

另一方面，泰国新兴的人工智能监管体系与其与华盛顿不断发展的贸易关系密切相关。美国和泰国已宣布签署《互惠贸易协定框架》。在该框架下，双方承诺最终敲定旨在消除影响数字贸易壁垒的条款。

至关重要的是，其中一项既定目标是确保数据在可信边界内自由传输，以开展商业活动。泰国还同意不采取歧视美国数字服务和产品的措施。这些承诺与泰国提出的要求某些人工智能处理必须在其境内进行的权力提案相辅相成。

泰国必须在其美国贸易框架下，平衡本地化权力与跨境数据承诺。

这并不意味着人工智能法草案必然违反贸易框架。政府信息、国家安全和关键基础设施可能需要专门的保障措施。此外，最终的义务、定义和豁免条款仍然至关重要。尽管如此，泰国正在制定两项政策，而这两项政策最终必须协同运作。

一方面，曼谷承诺促进可信的跨境商业数据传输。另一方面，其提出的AI监管政策可能要求在泰国境内进行指定处理。因此，本地化条款的最终影响可能对国际科技公司产生重大影响。

美国贸易政策历来将不合理的本地化数据视为潜在的贸易壁垒。它也对强制企业通过本地设施或基础设施提供服务的要求提出质疑。在此背景下，泰国本地化规则最终的范围可能会决定美国业界担忧的程度。

措辞严谨的要求可能主要涵盖敏感的政府信息或关键基础设施信息。相比之下，权限范围更广的要求则可能涵盖普通的云计算和商业人工智能服务。这种区别至关重要，因为全球服务提供商通常按区域而非针对每个国家市场单独构建基础设施。

泰国数据中心新规加大监管压力，本地化或将重塑区域云运营格局。

大型人工智能平台严重依赖于区域基础设施。数据可以在不同设施间传输，计算工作负载也可以分配到多个地点。因此，强制在泰国境内进行数据处理可能会改变现有的运营模式，也可能需要专门针对泰国市场的额外投资。

此外，泰国正在数据中心领域开辟新的监管渠道。总理阿努廷·查恩维拉库尔力推一项涵盖注册和运营标准的新框架。与此同时，泰国正致力于将自身打造成为区域数字中心。

9月份的一份提案草案将对数据中心引入新的许可、环境和资源要求。这些提案涵盖电力和水资源消耗，也涉及云安全和数据存储。据报道，部分本地化提案已扩展至泰国数据。

综上所述，国际科技公司面临的监管问题远不止于拟议的《人工智能法案》。泰国正在同步制定涵盖人工智能、数字平台和网络安全的规则。数据中心和数据主权也是这一更广泛举措的一部分。这些措施加在一起，可能会改变大型国际科技供应商的运营环境。

责任、行业监管和人工智能标签等因素进一步加大了全球科技公司的合规压力。

在人工智能立法本身中，数据本地化只是其中一个压力点。责任问题则构成了另一个压力点。基金会模式的开发涉及扮演截然不同角色的企业。然而，共同责任可能使某个参与者承担来自该产业链其他环节的损害。商业软件联盟（Business Software Alliance）就此提出了质疑。

监管碎片化造成了另一个问题。泰国希望行业监管机构在识别和监督高风险人工智能应用方面发挥重要作用。这种方法赋予专业监管机构在其现有领域内的监管权。然而，跨国供应商可能会面临不同行业对此的不同解读。

这些行业可能包括金融、电信、医疗保健和消费服务。因此，企业可能面临统一的人工智能要求以及各行业各自的规则。对于业务遍及多个经济领域的供应商而言，明确的界限将变得至关重要。

生成式人工智能标注引发了另一个潜在的监管压力点。国际社会已在人工智能生成内容的识别技术方法方面取得了进展。在此方面，泰国最终采用的技术标准可能至关重要。

美国产业界支持全球标准，而泰国则在权衡是否采取封锁措施，同时仍在积极争取科技投资。

商业软件联盟此前曾警告泰国不要制定独特的国家身份验证标准。该联盟支持采用C2PA等可互操作的国际机制。因此，仅针对泰国的身份验证要求可能会迫使全球平台为一个国家市场开发额外的功能。

域外执法进一步增强了拟议制度的效力。泰国希望对境外供应商的人工智能系统影响泰国用户的情况进行监管。此类规定在国际上日益普遍。即便如此，拟议的阻止权仍将赋予泰国监管机构相当大的执法影响力。

因此，涉及美国大型服务提供商的纠纷可能超出传统的监管罚款范畴。最终，泰国境内的服务可用性可能也会受到影响。这将使合规问题与主要依赖经济处罚的体系产生实质性差异。

尽管监管更加严格，曼谷仍在积极吸引国际科技投资。数字经济和社会事务部官员参加了8月份举行的泰美贸易投资峰会。会上，官员们强调了创新和投资，同时也关注人工智能的安全和治理。

Chaichanok 推动制定可互操作的人工智能规则，但经过行业磋商，关键条款仍未确定。

柴查诺克先生还将泰国的AI政策推向了国际舞台。7月在日内瓦，他力推泰国成为一个潜在的现实世界“AI治理沙盒”。值得注意的是，他还主张制定国际可互操作的AI规则，而不是各自独立的监管体系。

ETDA在技术发展方面也采取了类似的立场。它表示不希望一刀切的体系阻碍创新。因此，其方案将拟议的法律控制措施与自愿性治理措施相结合。这些措施包括监管沙盒、伦理影响评估和红队测试。

即便如此，具有约束力的立法的一些重要细节仍在讨论中。泰国已建立了总体框架，但国际公司的具体义务尚未确定。7月至8月的磋商已经结束。美国科技利益集团已利用这一程序对其中几项重要条款提出质疑。

此后，双方持续直接沟通。9月22日的美国商会会议表明，讨论在月底仍在进行。数据本地化仍然是最重要的问题之一。严格责任和连带责任是另一个主要的争议点。

随着曼谷逐步推行具有约束力的法律管控，外国人工智能和云服务提供商将面临泰国的义务。

除了上述问题之外，外国基金会模式的开发者在泰国境内的责任也存在不确定性。云服务提供商也可能面临本地化要求。技术标准和人工智能内容标注仍然至关重要。此外，行业监管机构可能还会承担起定义和监管高风险应用程序的重大责任。

与此同时，泰国必须在履行与华盛顿的数字贸易承诺的同时制定这些规则。曼谷方面也在寻求美国对人工智能、云计算基础设施和数据中心的大规模投资。因此，一些正在被吸引投资的公司可能面临泰国新的监管要求。

目前，泰国只有一份内容详实的《人工智能法》草案，而尚未颁布正式的人工智能法律。尽管如此，现有材料所体现的政策方向十分明确：曼谷正从以自愿为主的人工智能治理模式转向具有约束力的法律控制。

随着数据本地化成为泰国尚未完成的法律中的一个关键问题，美国科技集团寻求做出改变。

与此同时，美国科技利益集团正寻求在该框架正式立法前对其进行修改。泰国也在制定针对平台、网络安全和数据中心的独立规则。这些举措结合起来，构成了一个更为全面的数字监管体系。

最重要的是，数据本地化的最终范围可能至关重要。泰国已承诺为开展业务提供可信的跨境数据传输。然而，拟议的人工智能框架可能会赋予监管机构权力，要求在泰国境内进行指定处理。

最终，具体的措辞、定义和豁免条款将决定这两种方法如何协同运作。该立法尚未最终定稿。尽管如此，关于其中最具商业意义的条款的谈判已经顺利展开。

TH AI计划遇到问题和瓶颈。新的AIS优惠提供每月29泰铢的低价互联网服务。

就在泰国政府介入人工智能市场之际，该国的付费人工智能用户经历了噩梦般的一周。

人民党激进派人士抨击本周启动的旗舰人工智能项目TH AI，并向反腐机构提出指控。

泰国民众在首日积极参与政府的TH AI项目，但ChatGPT在周一晚些时候报告出现故障。

泰国人工智能护照将于8月28日正式上线，部长表示，此举是应公众强烈要求。

民主党副党魁再次抨击泰国-人工智能护照项目，与此同时，部长正力推该项目。

泰国工人如今在人工智能应用方面处于世界领先地位，是全球平均水平的两倍多。企业必须提高警惕。

民主党副党魁揭露泰国-印度护照计划的缺陷，并呼吁部长终止该计划。

阿披实·维乍集瓦呼吁对数字经济部正在推进的旗舰人工智能项目进行审查

反对派和首相都强调了腐败问题，认为这正在损害王国在海外的信誉。

交通部长下令就美国有关旅游公款旅行和按摩院的贿赂指控提交报告

约瑟夫·安东尼是一位来自爱尔兰的侨民，过去十年一直居住在泰国。他曾在爱尔兰和泰国的媒体行业担任过编辑职务，拥有丰富的媒体从业经验。他主要关注泰国的经济和商业新闻，以及侨民的生活方式。

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2026年9月19日，45岁的澳大利亚男子西蒙·彼得·卡曼在芭堤雅被控谋杀，但他拒不不认罪，保释申请被拒绝。

随着债务上限临近，公共债务较新冠疫情前水平大幅飙升，政府是时候勒紧裤腰带了。（2026年9月18日）

泰国准备对境外生产的电动汽车征收30%的税，以促进其汽车产业发展（2026年9月18日）

2026年9月17日，芭堤雅一名好心人因帮女友找回丢失的摩托车钥匙，被一名行为怪异的外国人殴打。

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