
对“隐私与安全”的日益重视,可能为AI终端设备(而非完全依赖云计算和远程数据中心)敞开大门。
惠普首席商务官大卫·麦夸里(David McQuarrie)于10月告诉《财富》杂志:“在一个数据主权保留至关重要的世界里,人们希望确保自己输入模型的数据不会被用于训练该模型。”在本地运行AI则能提供这种保障。
与许多设备制造同行一样,惠普正在探索AI个人电脑(即能在本地而非云端运行AI的设备)的应用。他表示:“从长远来看,人们将不得不购买AI个人电脑,只因它们功能极其强大。”
更广泛地说,对于小型公司而言,在本地运行较小规模的模型,其效果可能不亚于在云端运行大型模型。他指出:“一家公司、一个小型企业或一个人都拥有大量无需上传至云端的数据。”
亚洲各国政府通常对数据主权有更严格的法规。中国尤其显著收紧了关于中国用户数据存储地的规定。韩国是另一个例子,它将某些本地数据视为过于敏感而不能存储在海外。
世界各国政府,尤其是亚洲国家,也在投资本土主权AI能力建设,试图避免完全依赖完全位于海外的系统和平台。例如,韩国正与本地科技公司合作(如搜索巨头Naver),以构建自己的AI系统。新加坡则投资于诸如“东南亚语言一体化网络”(SEA-LION)等项目,这些项目更贴合东南亚国家的需求。
亚洲的AI应用现状
亚洲是惠普规模最小的区域,但也是增长最快的区域。在截至10月的公司2025财年,亚太及日本地区的营收增长了7%,达到133亿美元,约占惠普总收入553亿美元的四分之一。(惠普的另外两个区域是美洲区以及欧洲、中东和非洲区。)
麦夸里还提出,在亚洲存在“颠覆性”突破的机遇。尽管许多商业领袖一直渴望拥抱AI(至少口头上如此),但实际应用正被证明更为困难。麦肯锡(McKinsey)近期的一项调查显示,三分之二的公司仍处于AI试验阶段。
但麦夸里认为,亚洲的AI应用速度可能“即使不比其它地区更快,也会一样快”。
至少在用户层面,亚洲似乎对使用AI更为坦然。皮尤研究中心(Pew)10月的一项调查发现,与美国相比,在印度、韩国和日本等国家,表示对AI“担忧多于兴奋”的人更少。
在说服更多公司采用AI(更不用说AI个人电脑)方面,麦夸里表示,关键在于尽可能无缝地集成AI功能,从而“用户是否意识到自己在使用AI并不重要”。
“我们正在加倍投入的是未来工作模式,”麦夸里说。“未来的工作模式需要一种能改善体验、提升生产力的设备。”
“我们在后台使用AI这个事实?用户无需知道。”(财富中文网)
译者:中慧言-王芳
对“隐私与安全”的日益重视,可能为AI终端设备(而非完全依赖云计算和远程数据中心)敞开大门。
惠普首席商务官大卫·麦夸里(David McQuarrie)于10月告诉《财富》杂志:“在一个数据主权保留至关重要的世界里,人们希望确保自己输入模型的数据不会被用于训练该模型。”在本地运行AI则能提供这种保障。
与许多设备制造同行一样,惠普正在探索AI个人电脑(即能在本地而非云端运行AI的设备)的应用。他表示:“从长远来看,人们将不得不购买AI个人电脑,只因它们功能极其强大。”
更广泛地说,对于小型公司而言,在本地运行较小规模的模型,其效果可能不亚于在云端运行大型模型。他指出:“一家公司、一个小型企业或一个人都拥有大量无需上传至云端的数据。”
亚洲各国政府通常对数据主权有更严格的法规。中国尤其显著收紧了关于中国用户数据存储地的规定。韩国是另一个例子,它将某些本地数据视为过于敏感而不能存储在海外。
世界各国政府,尤其是亚洲国家,也在投资本土主权AI能力建设,试图避免完全依赖完全位于海外的系统和平台。例如,韩国正与本地科技公司合作(如搜索巨头Naver),以构建自己的AI系统。新加坡则投资于诸如“东南亚语言一体化网络”(SEA-LION)等项目,这些项目更贴合东南亚国家的需求。
亚洲的AI应用现状
亚洲是惠普规模最小的区域,但也是增长最快的区域。在截至10月的公司2025财年,亚太及日本地区的营收增长了7%,达到133亿美元,约占惠普总收入553亿美元的四分之一。(惠普的另外两个区域是美洲区以及欧洲、中东和非洲区。)
麦夸里还提出,在亚洲存在“颠覆性”突破的机遇。尽管许多商业领袖一直渴望拥抱AI(至少口头上如此),但实际应用正被证明更为困难。麦肯锡(McKinsey)近期的一项调查显示,三分之二的公司仍处于AI试验阶段。
但麦夸里认为,亚洲的AI应用速度可能“即使不比其它地区更快,也会一样快”。
至少在用户层面,亚洲似乎对使用AI更为坦然。皮尤研究中心(Pew)10月的一项调查发现,与美国相比,在印度、韩国和日本等国家,表示对AI“担忧多于兴奋”的人更少。
在说服更多公司采用AI(更不用说AI个人电脑)方面,麦夸里表示,关键在于尽可能无缝地集成AI功能,从而“用户是否意识到自己在使用AI并不重要”。
“我们正在加倍投入的是未来工作模式,”麦夸里说。“未来的工作模式需要一种能改善体验、提升生产力的设备。”
“我们在后台使用AI这个事实?用户无需知道。”(财富中文网)
译者:中慧言-王芳
Increased focus on "privacy and security" may open the door for AI-enabled devices rather than rely entirely on cloud computing and remote data centers.
"In a world where sovereign data retention matters, people want to know that if they input data to a model, the model won't train on their data," David McQuarrie, HP's chief commercial officer, told Fortune in October. Using an AI locally provides that reassurance.
HP, like many of its devicemaking peers, is exploring the use of AI PCs, or devices that can use AI locally as opposed to in the cloud. "Longer term, it will be impossible not to buy an AI PC, simply because there's so much power in them," he said.
More broadly, smaller companies might be served just as well by a smaller model running locally than a larger model running in the cloud. "A company, a small business, or an individual has significant amounts of data that need not be put in the cloud," he said.
Asian governments have often had stricter rules on data sovereignty. China, in particular, has significantly tightened its regulations on where Chinese user data can be stored. South Korea is another example of an Asian country that treats some locally sourced data as too sensitive to be housed overseas.
Governments the world over, and particularly in Asia, are also investing in local sovereign AI capabilities, trying to avoid relying entirely on systems and platforms housed wholly overseas. South Korea, for example, is partnering with local tech companies like search giant Naver to build its own AI systems. Singapore is investing in projects like the Southeast Asian Languages in One Network (SEA-LION), which are better tailored to Southeast Asian countries.
Asian AI adoption
Asia is HP's smallest region, but also its fastest-growing. Revenue from Asia-Pacific and Japan grew by 7% over the company's 2025 fiscal year, which ended in October, to hit $13.3 billion. That's around a quarter of HP's total revenue of $55.3 billion. (HP's other two regions are the Americas; and Europe, the Middle East, and Africa.)
McQuarrie also suggested that there was an opportunity to be "disruptive" in Asia. While many business leaders have been eager to embrace AI, at least rhetorically, actual adoption is proving more difficult. A recent survey from McKinsey reports that two-thirds of companies are still in the experimentation phase of AI.
But McQuarrie believed that AI adoption in Asia could be "just as quick, if not quicker," than other regions.
Asia seems to be more comfortable with the use of AI, at least when it comes to users. An October survey from Pew found that fewer people in countries like India, South Korea and Japan reported feeling "more concerned than excited" about AI compared to the U.S.
When it comes to convincing more companies to adopt AI, let alone AI PCs, McQuarrie said the answer was to make AI functions as seamless as possible, so "that it doesn't really matter whether you understand that you're embracing AI or not."
"What we're doubling down on is the future of work," McQuarrie said. "The future of work is a device that makes your experience better and your productivity greater."
"The fact that we're using AI in the background? They don't need to know that."