生成式人工智能迅速普及，Gemini、大型語言模型（LLM）、AI 圖像生成及 AI Agent 等技術，正逐步融入企業營運與日常工作。面對市場上日益多元的 AI 工具，不少用戶亦開始思考：既然已有 Gemini 等成熟的生成式 AI 服務，為何仍需要 HKT.AI？
要回答這個問題，首先需要理解 HKT.AI 與 Gemini 在產品定位及使用方式上的差異。
Gemini 是由 Google 建立的 AI 模型及 AI 助理生態系統，可支援內容撰寫、資料整理、研究、規劃，以及圖片和多模態內容處理等工作。HKT.AI 則是由香港電訊自主開發的一站式綜合 AI 平台，其核心並非只提供單一 AI 模型，而是將不同中國內地及全球 AI 資源整合於同一平台，讓企業及個人用戶可因應不同工作需要，選擇及使用合適的 AI 工具。
因此，「HKT.AI 還是 Gemini」並非單純的二選一問題。更值得考慮的是：用戶需要的是一套指定的 AI 生態系統，還是一個可按不同任務靈活選用多種 AI 能力的整合平台？
Gemini 的主要優勢之一，是與 Google 自身的 AI 技術及產品生態深度整合。對經常使用 Gmail、Google Docs、Google Drive 等服務的用戶而言，Gemini 可與既有工作流程形成良好配合；Google Workspace 商業版本亦提供相應的企業級資料保障。
HKT.AI 採取的則是另一種平台化策略。
香港電訊於 2026 年 7 月推出 HKT.AI，將來自中國內地及全球的不同 AI 資源整合至單一平台。平台推出初期已提供圖片工作室、寫作工作室、社交內容工作室，以及協助用戶比較及選擇合適模型的「大模型擂台」（AI Arena）。透過這種設計，用戶毋須逐一研究不同 AI 模型的技術特點，亦可按實際工作需要選擇較合適的工具。
這正是 HKT.AI 與單一 AI 助手之間其中一項重要的定位差異。
以市場推廣工作為例，同一位專業人員在一天之內可能需要撰寫產品介紹、規劃社交媒體內容、生成圖片、整理文件及分析資料。不同任務對 AI 的要求並不相同，而各類 AI 模型在文字處理、推理、創意生成、圖像處理、速度及特定工作流程方面亦各有特點。因此，與其單純比較「哪一個 AI 最強」，企業更應關注能否按不同工作需要選擇合適的 AI 能力。
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AI 發展的下一階段，重點未必在於長期依賴單一模型，而在於能否因應不同任務選擇合適的 AI 能力。 |
HKT.AI 的平台設計，正是建基於這種多模型、按需選擇的使用方向。
資料私隱及資訊安全，是企業及專業用戶採用生成式 AI 時不可忽視的重要考慮。
當員工使用 AI 處理文件、草擬電郵、整理會議內容、分析商業資料或製作市場推廣方案時，輸入 AI 平台的內容可能涉及企業資訊甚至敏感資料。因此，企業在選擇 AI 工具時，除了比較模型能力，亦應了解平台如何儲存、管理及保障用戶資料。
根據 HKT.AI 現時公布的官方資料，平台設有安全的專屬儲存空間，可自動保存對話紀錄及生成內容，方便用戶日後查閱及重用；同時亦提供企業級安全保障，以保護用戶上載的數據。
需要指出的是，「資料安全」、「資料儲存」與「資料是否用作模型訓練」屬於不同層面的議題。企業如需處理機密、受規管或具商業敏感性的資料，在正式上載至任何生成式 AI 平台之前，仍應按照內部資訊安全政策及相關服務條款，確認適用的資料處理安排。
同樣地，亦不宜概括地認為 Gemini 會一律使用用戶資料訓練 AI。以一般 Gemini Apps 為例，Google 的官方 Privacy Hub 說明，部分聊天資料的使用方式會受到 Keep Activity 等設定影響；在特定設定下，部分內容可能用於改善 Google 服務，包括 AI 模型。至於 Google Workspace 的商業、教育及公共機構客戶，Google 則表示，在相應保障下，Gemini 對話及上載檔案不會在未經許可的情況下由人工審閱，亦不會用於訓練組織網域以外的生成式 AI 模型。
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企業真正需要評估的，不是「哪一個 AI 完全沒有資料風險」，而是平台是否具備清晰的資料管理機制、安全保障，以及是否符合自身的實際應用需要。 |
對企業而言，建立清晰的資料管理及安全機制，往往比單純比較不同 AI 模型的排行榜更具實際意義。
在生成式 AI 發展初期，市場經常以「哪一個 AI 模型最強」作為比較重點。隨着 AI 應用逐漸成熟，這種單一維度的比較方式已未必足以反映企業的實際需要。
原因在於，不同 AI 模型各有特點，而實際工作亦涉及多種不同類型的任務。
例如，部分工作重視快速內容生成，部分工作需要圖像創作，另一些工作則着重文件分析、資料整理，甚至需要針對香港商業環境的 AI Agent。面對不同用途，單一模型未必能在所有情境下提供最合適的體驗。
因此，較具彈性的方向，是建立一個統一的 AI 入口，由平台整合不同能力，並讓用戶按任務需要選擇合適的 AI 工具。
這亦是 HKT.AI 匯聚中國內地及全球 AI 資源的重要原因。
HKT.AI 的「大模型擂台」旨在協助用戶比較及選擇合適模型；平台同時設有圖片、寫作及社交內容工作室，將不同 AI 能力轉化為更清晰、具體的應用場景。
對個人用戶而言，這種整合方式有助減少在不同 AI 網站及應用程式之間反覆切換；對企業而言，則有助建立較集中及一致的 AI 使用入口，並為日後將 AI 納入標準化工作流程提供更具彈性的基礎。
HKT.AI 的另一項定位特色，是平台並非只將不同大型語言模型集中於同一介面，而是進一步將 AI 能力轉化為具體的工作場景。
平台推出初期已設有約 20 個預設 AI 助理，其中包括針對香港中小企日常工作的 AI Agent，例如公司申報、協助處理稅務事項的文書生成、AI 自動排班助理及客戶投訴回覆助手等。個人用戶亦可使用健身、烹飪及創意命名等不同 AI 助理。
這種設計反映另一種更貼近實際使用需要的 AI 採用模式：用戶毋須先深入理解大型語言模型、context window 或不同模型參數，而可直接從「需要完成甚麼工作」出發，再選擇相應工具。
對不少香港中小企而言，這種以實際任務為核心的方式，可能比單純研究不同 AI benchmark 更具應用價值。
企業採用 AI 的最終目的，並非擁有最多模型，而是有效運用 AI 解決實際業務需要及提升工作效率。
企業在選擇 AI 平台時，除了模型能力及資料安全之外，支援服務亦是值得考慮的一環。
HKT 表示，將為企業及個人用戶提供 24 小時專屬 AI 支援熱線、培訓及工作坊，並可按企業需要提供專人平台設置服務。
對熟悉 AI 的用戶而言，自行研究 Prompt、模型設定及新功能未必構成太大困難；然而，當企業需要讓十數名甚至數十名員工開始使用 AI，培訓、設定、技術支援及日常問題處理便會成為實際的營運考慮。
因此，本地專業支援的價值，不僅在於提供技術查詢渠道，更在於協助企業降低 AI 導入門檻，並讓不同程度的用戶更有系統地掌握及應用相關工具。
如用戶主要需要 Google 的 AI 能力，而日常工作流程亦高度依賴 Google 生態系統，Gemini 本身已是一套成熟而全面的 AI 方案。
若企業或個人用戶希望接觸不同中國內地及全球 AI 資源，按寫作、圖像、社交內容或其他工作需要選擇不同工具，並希望透過較統一的平台管理 AI 對話及內容；同時重視香港本地 AI Agent、企業級安全保障，以及 24 小時專業支援，HKT.AI 則提供另一種更具整合性及彈性的 AI 使用模式。
因此，真正值得比較的問題，未必是「HKT.AI 與 Gemini 哪一個更強」。
更重要的是：隨着 AI 模型及應用持續增加，用戶是否仍需要將所有工作限制於單一 AI 生態系統之內？
HKT.AI 的平台理念，是將不同 AI 能力集中於同一入口，讓用戶由單純「選擇一個 AI」，進一步轉向「因應每項工作選擇合適的 AI」。
當人工智能逐步成為企業日常營運的一部分，這種靈活選擇及整合不同 AI 能力的方式，將愈來愈值得企業關注。
Q1：HKT.AI 是否等同另一個 Gemini？
並非如此。Gemini 是 Google 的 AI 模型及 AI 助理生態系統；HKT.AI 則定位為一站式綜合 AI 平台，整合不同中國內地及全球 AI 資源，並提供不同工作室、AI Arena 及預設 AI Agents。兩者在產品定位及使用方式上有所不同。
Q2：使用 HKT.AI 後是否不再需要 Gemini？
不一定。兩者並非必然互相取代。HKT.AI 的其中一項核心價值，是讓用戶毋須只依賴單一 AI 能力，而可因應不同工作需要選擇合適的 AI 資源。
Q3：HKT.AI 如何保障用戶資料？
根據 HKT 官方資料，HKT.AI 提供安全的專屬儲存空間及企業級安全保障，以保護用戶上載的數據。如涉及機密、受規管或具商業敏感性的資料，企業仍應按照內部資料政策及適用服務條款使用 AI。
Q4：HKT.AI 是否適合香港中小企？
HKT.AI 提供針對香港商業場景的 AI 助理，包括公司申報、稅務相關文件生成、自動排班及客戶投訴回覆等用途，並提供培訓、24 小時支援及企業平台設置服務，適合希望逐步將 AI 納入日常營運流程的企業參考。
As generative AI becomes part of everyday work and life, tools such as Gemini, large language models, image generators and AI Agents are rapidly changing the way people write, research, create and manage information. With so many AI services now available, one question naturally arises among Hong Kong users: “If I can already use Gemini, why would I need HKT.AI?”
The answer begins with an important distinction: HKT.AI and Gemini are not designed to play exactly the same role.
Gemini is Google's AI model and assistant ecosystem. It can support tasks ranging from writing and planning to research and multimodal interactions. HKT.AI, on the other hand, is positioned as a self-developed, one-stop integrated AI platform from HKT that brings together a broad range of Mainland Chinese and global AI resources through a single interface.
Therefore, asking “HKT.AI or Gemini?” may not be the most useful question. A better question is: Do you want to rely primarily on one AI ecosystem, or do you want a platform that allows you to access and choose among different AI capabilities for different tasks?
Gemini has an obvious strength: it is deeply connected to Google's AI technologies and ecosystem. For users already working extensively with services such as Gmail, Docs and Drive, Gemini can provide a convenient extension of the Google experience. Google also provides enhanced security and privacy commitments for eligible Workspace business and organisational customers.
HKT.AI takes a different approach.
Launched by HKT in July 2026, HKT.AI aggregates AI resources from Mainland China and around the world into one integrated platform. At launch, it includes four major features: Image Studio, Writing Studio, Social Content Studio and an AI Arena designed to help users select a suitable model.
This distinction matters because real-world AI usage is becoming increasingly diverse.
A marketing professional, for example, may need to draft an article in the morning, generate social content at noon, create an image in the afternoon and analyse a document before the end of the day. There is no reason to assume that the same model will always be the ideal choice for every one of those tasks.
Different AI models can have different strengths in areas such as writing, reasoning, creativity, visual generation, speed and specialised workflows. That means the next stage of AI adoption may not simply be about identifying “the best AI.” It may be about identifying the right AI for the right task.
This is where the multi-model approach behind HKT.AI becomes particularly relevant.
Data privacy has become one of the most important considerations for both individual and enterprise AI users.
As employees begin using generative AI to summarise documents, prepare emails, analyse business information or create marketing content, the information submitted to an AI platform may contain corporate or personal data.
For that reason, businesses should evaluate much more than the intelligence of an AI model. They should also understand how information is stored, managed and protected.
According to HKT's published information, HKT.AI provides secure dedicated storage that automatically preserves chat histories and generated content for future access and reuse. HKT also states that the platform incorporates enterprise-grade security to safeguard customers' uploaded data.
However, it is important to distinguish between three separate concepts: data storage, data security and whether information may be used for AI model training. Organisations handling confidential, regulated or commercially sensitive information should always review the applicable service terms and internal data policies before submitting that information to any generative AI platform.
It is equally important not to make the blanket assumption that “Gemini always trains on your data.” For consumer Gemini Apps, Google's Privacy Hub explains that the way conversations may be used depends partly on settings such as Keep Activity. When certain activity settings are enabled, some chat information can be used to improve Google services, including AI models.
The situation is different for eligible Google Workspace business, education and public-sector customers. Google states that Gemini chats and uploaded files under those Workspace protections are not reviewed by human reviewers or used to train generative AI models outside the organisation's domain without permission.
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The more useful question is: Does the platform offer a data-management and security framework appropriate for the way my organisation intends to use AI? |
When people first start experimenting with generative AI, one of the most common questions is, “Which AI model is the best?”
As AI adoption matures, that question becomes less useful.
A user may want fast content generation for one task, image creation for another, document analysis for a third and a specialised AI Agent for a particular workflow.
Rather than forcing users to perform all of these activities through one model, a multi-model platform can act as a central AI gateway.
This helps explain HKT.AI's strategy of aggregating Mainland Chinese and international AI resources. Its AI Arena is designed to help users select an appropriate model, while its dedicated Image Studio, Writing Studio and Social Content Studio translate AI capabilities into practical use cases.
For an individual user, this approach can reduce the need to move constantly between different AI websites and applications. For businesses, the potential value is even broader: AI access can become more centralised and easier to incorporate into repeatable workflows.
Instead of asking employees to understand every new model that appears in the market, an integrated platform can shift the focus from “Which model should I learn?” to “What task do I need to complete?”
Another differentiating feature is that HKT.AI does more than simply place multiple AI resources inside one interface.
At launch, the platform includes around 20 preconfigured AI Agents. For SMEs, HKT says these include Hong Kong-focused business tools designed to assist with routine activities such as company filing, generation of documents for tax-related matters, staff roster planning and complaint responses. Consumer-oriented Agents include a personal fitness trainer, cooking coach and creative naming tool.
This represents an important change in how AI can be introduced to mainstream users.
A business owner does not necessarily need to know what an LLM is, compare technical benchmark scores or understand complex model parameters. They may simply need to ask: “Can AI help me prepare this document?”, “Can AI help organise my staff roster?” or “Can AI help me draft a customer response?”
This task-oriented approach can make AI significantly easier to adopt for SMEs that do not have dedicated AI or IT teams.
AI adoption is not only a technology issue. It is also a support and learning issue.
HKT says HKT.AI users will have access to a dedicated 24-hour AI support hotline, as well as training sessions and workshops. Designated specialists can also assist businesses with platform setup when required.
For experienced AI users, experimenting with prompts and testing new models may be relatively straightforward. For a business introducing AI to dozens of employees, however, questions such as “Who helps our staff when something goes wrong?” become much more important.
This is where local professional support can add value beyond the model itself. The goal is not simply to give users access to AI technology, but to help them actually use that technology effectively.
If your primary requirement is Google's AI capabilities and your workflow is already highly integrated with the Google ecosystem, Gemini remains a powerful and comprehensive AI option.
However, if your priorities include accessing different Mainland Chinese and global AI resources, choosing different tools for different tasks, managing AI conversations within a more unified experience, using Hong Kong-focused AI Agents, or having access to local training and round-the-clock professional support, HKT.AI represents a different approach to AI adoption.
So perhaps the most important question is no longer: “Is HKT.AI better than Gemini?” Instead, it is: “As the number of AI models continues to grow, should I still limit myself to a single AI?”
HKT.AI's proposition is to bring different AI capabilities together through one gateway, allowing users to move from simply choosing an AI to choosing the right AI for each task.
And as artificial intelligence becomes an increasingly important part of everyday work, that flexibility may become one of the most valuable features an AI platform can offer.
Q1.What is the main difference between HKT.AI and Gemini?
Ans: Gemini is Google's AI model and assistant ecosystem. HKT.AI is positioned as an integrated platform that brings multiple Mainland Chinese and global AI resources together with AI Studios, an AI Arena and preconfigured AI Agents.
Q2. Does using HKT.AI mean I no longer need Gemini?
Ans: Not necessarily. The two approaches do not have to be mutually exclusive. One of the key ideas behind HKT.AI is giving users access to different AI capabilities rather than requiring every task to be completed through one model.
Q3. How does HKT.AI protect user data?
Ans: HKT states that HKT.AI provides secure dedicated storage and enterprise-grade security designed to safeguard uploaded customer data. Businesses handling sensitive information should nevertheless follow their own information-security policies and the applicable service terms.
Q4. Is HKT.AI suitable for Hong Kong SMEs?
Ans: HKT.AI includes AI Agents designed around Hong Kong business scenarios, including company filing, tax-related document generation, roster planning and complaint-response support. HKT also provides training, 24-hour AI support and platform setup assistance for businesses where needed.
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