AI’s Double-Edged Sword: Grab CEO Anthony Tan Warns of Widening Economic Divides

Singapore – October 6, 2026 – As the global business landscape rapidly embraces artificial intelligence (AI), a stark warning has emerged from one of Southeast Asia’s leading technology titans. Anthony Tan, CEO of Grab, articulated a pressing concern at the Dow Jones Risk Journal conference in Singapore today: the most significant risk posed by AI may not be a dystopian future of sentient machines, but rather a profound and escalating chasm between those who can harness its power and those who are inevitably left behind.

Tan’s remarks painted a picture of a future where the rapid proliferation of AI could act as an accelerant for existing economic inequalities, potentially ushering in a "K-shaped recovery." This economic model suggests a scenario where a segment of the population and businesses, already possessing the resources and technological acumen, surge ahead, while another, less fortunate group, stagnates or even declines. The CEO’s cautionary message underscores a critical imperative for policymakers, industry leaders, and society at large: to ensure that the transformative potential of AI translates into inclusive prosperity, not amplified disparity.

The Shadow of Discontent: A Personal Echo of Economic Inequality

Tan’s anxieties are not merely theoretical. He drew a poignant parallel to recent social unrest in Indonesia, highlighting how swiftly economic discontent can morph into volatile public action. The stark reminder of the human cost of such unrest, tragically underscored by the death of a Grab driver during a TikTok Live stream amidst the turmoil, brought the abstract concept of economic inequality into sharp, personal focus for the Grab CEO. This harrowing experience served as a potent illustration of how underlying socio-economic fragilities can be exacerbated by broader societal shifts, including technological disruption.

"The question is not whether AI is going to be intelligent, but who gets to benefit from that intelligence," Tan stated emphatically. His core concern revolves around the concentration of AI’s benefits among individuals and corporations with the financial and technical wherewithal to leverage its capabilities. This leaves a significant portion of the population and smaller enterprises vulnerable to being outpaced, further widening the existing economic divide.

Grab’s Strategic Response: Empowering the Underserved with AI

In direct response to this looming challenge, Grab is strategically deploying AI not as a tool for its own competitive advantage alone, but as a democratizing force, particularly for small and medium-sized enterprises (SMEs) that often lack the resources to invest in dedicated technology, finance, or marketing expertise. Tan believes that the true value of AI for these businesses lies in its ability to solve tangible, day-to-day problems.

"AI is exciting when everyone is talking about it, but the fundamental question for the small guy is: does it help me increase my earnings? Does it improve my bottom line?" Tan emphasized. This pragmatic approach underpins Grab’s development of its AI Merchant Assistant, a sophisticated tool designed to bring the power of AI directly into the hands of merchants across Southeast Asia.

The AI Merchant Assistant: A "Fractional CFO or CMO in Your Pocket"

Leveraging the vast troves of data and signals generated across Grab’s expansive ecosystem, the AI Merchant Assistant provides personalized, actionable recommendations to merchants. These recommendations span crucial areas such as business growth, marketing strategies, and operational efficiency. The tool is not merely an experimental feature; it is demonstrating significant traction and tangible results.

In Indonesia, merchants have engaged with the AI Assistant over one million times by June, generating more than 1.08 million messages. The platform boasts an impressive 96.1% user satisfaction rate. Furthermore, by May, a substantial 59.2% of new GrabFood merchants onboarded since the beginning of the year had actively utilized the assistant, underscoring its perceived value and immediate impact.

Tan aptly describes the assistant as a "fractional CFO or CMO in your pocket." This powerful analogy highlights its accessibility and its ability to provide high-level strategic guidance to businesses that might otherwise be unable to afford such specialized expertise. The target audience for this innovation includes humble hawkers, local food stalls, and sole proprietors, empowering them with tools previously accessible only to larger corporations.

The assistant’s functionality is rooted in its ability to analyze real-time data, including weather patterns and prevailing demand, to offer specific, data-driven advice. For instance, a merchant in Hanoi might receive a prompt to promote hot soup dishes during colder weather, accompanied by recommendations to implement targeted discounts, run specific advertising campaigns, or optimize the visual placement of these items on their digital menus. The AI can also identify menu items lacking compelling imagery, suggest new product introductions based on emerging local trends, and recommend promotional activities when competitor sales data indicates successful campaigns. The impact of these personalized recommendations is significant, with Tan reporting up to a 15% increase in sales for some small merchants.

Expanding the AI Footprint: Partnerships and In-House Expertise

Grab’s commitment to fostering AI adoption extends beyond its proprietary tools. In May, the company partnered with Singapore’s Infocomm Media Development Authority (IMDA) on a program aimed at equipping 10,000 SMEs across the food and beverage, retail, and e-commerce sectors with essential AI capabilities. This initiative spans from foundational AI literacy to practical application identification, demonstrating a holistic approach to AI integration.

Underpinning the AI Merchant Assistant is a sophisticated technological architecture. It seamlessly integrates cutting-edge large language models from leading AI companies like OpenAI and Anthropic with Grab’s proprietary domain expertise and the granular operational and transactional data of its merchant partners. Crucially, these advanced AI capabilities are provided to vendors at no additional cost. This fusion of general-purpose AI prowess with Grab’s deep understanding of the local market and individual business contexts allows the assistant to deliver highly tailored recommendations, moving beyond generic advice to offer truly personalized solutions.

Data as a "First-Class Citizen": Ethical AI and Robust Security

Tan’s vision for AI deployment is intrinsically linked to his profound respect for data. He firmly believes that customer, driver, and merchant data should be treated with the utmost reverence, akin to how a company safeguards its financial assets. "You need to treat it with the utmost care. It’s as precious as your money and the dollars on your balance sheet. That’s how you treat it. That’s how you protect it," he asserted.

This ethical stance extends to a clear demarcation between legitimate data utilization for AI applications and unauthorized data acquisition. Tan unequivocally condemned practices such as unauthorized web scraping and model distillation, stating, "Unauthorised scraping or distilling of third-party media content and calling it your own is unacceptable." He differentiated these illicit activities from legitimate price checks, emphasizing that the latter does not involve the appropriation of another party’s customer data, merchant data, or proprietary media content without explicit consent.

To uphold these principles and ensure the security of sensitive data, Grab maintains its cybersecurity operations in-house. The Chief Technology Officer reports directly to Tan, working in close collaboration with the Chief Information Security Officer (CISO) on continuous, rigorous response drills to preempt and mitigate potential threats.

From Experimentation to an AI-First Culture

Internally, Grab has undertaken a significant cultural transformation to overcome employee skepticism and foster a proactive embrace of AI. Two years ago, the company implemented a radical initiative: a nine-week pause on regular business operations, compelling all employees, from engineering to sales, to develop a project utilizing generative AI. This deliberate exercise aimed to decentralize AI adoption beyond the confines of the technology department, providing every employee with hands-on experience with these transformative tools.

The results of this initiative are palpable. Today, 98% of Grab’s software engineers routinely utilize coding agents, while non-technical teams benefit from dedicated AI token allowances. Furthermore, managers are empowered with fungible budgets that encompass both human headcount and AI tokens, allowing them the flexibility to strategically allocate resources based on whether a task is best addressed by additional personnel or AI-driven automation.

This strategic allocation reflects a broader philosophical shift within Grab. Tan advocates for a move away from simply maximizing AI usage for its own sake. Instead, businesses must meticulously identify workflows where AI can generate meaningful outcomes and, conversely, pinpoint areas where automation might introduce unforeseen bottlenecks or inefficiencies.

The Enduring Question: Who Reaps the Rewards of AI?

Ultimately, Anthony Tan’s overarching concern is not the ever-increasing capabilities of AI, but the fundamental question of who will benefit from these advancements. While the pace of technological progress is undeniable, Tan’s argument centers on the proposition that AI’s true economic value will be measured by its capacity to improve outcomes for businesses and workers beyond those who are already well-equipped to capitalize on its potential. The challenge, and indeed the imperative, lies in harnessing AI’s power to create a more equitable and prosperous future for all.