总部位于新加坡的公司于周三宣布，东南亚多功能超级应用Grab将与OpenAI合作，提升泰国司机、商户和其他服务提供商的人工智能技能。
Southeast Asia’s multi-purpose app Grab will work with OpenAI to boost the AI skills of its drivers, sellers and other providers in Thailand, the Singapore-based company announced on Wednesday.
该联合计划计划通过一系列实用的人工智能工作坊，培训全泰国3000名Grab零工，以开拓新的收入来源。参与者还将获得为期三个月的免费ChatGPT Plus使用权限。
The joint program plans to train 3,000 Grab gig workers across Thailand to tap into new sources of income through a series of practical AI workshops. Participants will also receive three months of free ChatGPT Plus access.
“提供普及性只是其中一方面。关键在于如何将其转化为他们口袋里的收益，提升每个人的技能、进行再培训，这就是为什么我今天来到泰国，”Grab首席执行官陈炳耀（Anthony Tan）在曼谷举行的CNN“全球视野”（Global Perspectives）活动独家宣布上表示。
“Giving accessibility is just one thing. It’s how do you translate it again to earnings to their pocket, upskilling, reskilling every one of them, and that’s why today I’m here in Thailand,” Grab CEO Anthony Tan said in an exclusive announcement at CNN’s Global Perspectives event in Bangkok.
工作坊将通过Grab司机应用程序（Grab Driver App）进行。特色培训主题包括客户互动与留存、市场营销与品牌建设、个人理财以及急救。
Workshops will be delivered through the Grab Driver App. Featured training topics include customer engagement and retention, marketing and branding, personal finance and first aid.
Grab最初是一家网约车服务公司，后来拓展至食品外卖、数字支付以及面向当地小企业的商业解决方案。这家区域科技巨头在东南亚8个国家和900多座城市开展业务。
Grab began as a ride-hailing service and later expanded into food delivery, digital payments and business solutions for local small businesses. The regional tech giant operates in eight countries and over 900 cities across Southeast Asia.
在泰国推出的“GO Forward with AI”是与OpenAI更广泛合作的一部分，该合作旨在未来两年内为该地区的3万多名零工和企业家提升技能。
The “GO Forward with AI” launch in Thailand is part of a broader partnership with OpenAI that aims to upskill over 30,000 gig workers and entrepreneurs across the region over the next two years.
该倡议最初由Grab和OpenAI于上个月宣布。根据两家公司的声明，该计划从新加坡开始，随后扩展至泰国，并据称将于今年晚些时候在印度尼西亚和菲律宾推出。
The initiative was first announced by Grab and OpenAI last month. Beginning in Singapore, it was subsequently expanded to Thailand and was said to be launching in Indonesia and the Philippines later this year, according to the companies’ statements.
通过提供的人工智能培训，Grab设想参与者除了提出一次性问题外，还将能够利用人工智能智能体功能——例如委派多步骤任务、构建简单的网站以及创建可重复的工作流。
Through the AI training provided, Grab envisions that participants would be able to tap AI agentic capabilities – such as delegating multi-step tasks, building simple websites and creating repeatable workflows – beyond asking one-off questions.
“我们的合作伙伴对人工智能很感兴趣，许多人正在寻求关于如何以与其工作、业务和愿景相关的方式应用人工智能的实用指导，”Grab首席组织能力官王静音在9月份的声明中表示。
“Our partners are intrigued by AI, and many are looking for practical guidance on how to apply it in ways that are relevant to their work, businesses and aspirations,” said Ong Chin Yin, Grab’s chief organizational capability officer, in the September statement.
她补充道：“这个计划旨在建立这种信心——无论是帮助商家做出更明智的商业决策，还是为司机合作伙伴提供探索新商业创意并创造新增长机会的工具。”
“This program is about building that confidence – whether it’s helping a merchant make smarter business decisions or giving a driver-partner the tools to explore a new business idea and create new opportunities for growth,” she added.
OpenAI亚太区董事总经理基兰·马尼（Kiran Mani）在周三的一份声明中表示：“随着我们进入人工智能能力的新时代，人们仅仅拥有人工智能的使用权是不够的。他们还需要技能和信心来使用它、随着技术变革进行调整，并分享它所创造的进步。”
“As we enter a new era of AI capabilities, it’s not enough for people to simply have access to AI. They also need the skills and confidence to use it, adapt as the technology changes, and share in the progress it creates,” said Kiran Mani, OpenAI’s Asia Pacific managing director, in a Wednesday statement.
他补充道：“泰国各地的人们已经在拥抱人工智能，通过‘GO Forward with AI’，我们很高兴能与Grab合作，将这种兴趣转化为实用技能。”
“People across Thailand are already embracing AI, and through GO Forward with AI, we’re excited to work with Grab to turn that interest into practical skills,” he added.
Grab自2024年起与OpenAI合作，推出了多项人工智能应用，其中包括应用内的司机人工智能助手（Driver AI Assistant）。据称该助手已触达超过50万名司机，帮助他们寻找需求、优化收益并解决日常问题。
Grab has partnered with OpenAI since 2024, launching several AI applications, including its in-app Driver AI Assistant that it says has reached over half a million drivers and helped them find demand, optimize earnings and resolve day-to-day questions.