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Grab CEO Anthony Tan suggests drivers could upscale to ‘new kinds of jobs’ as the firm prepares to launch robubuses next year

GRABWRD
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Grab plans to launch robobuses in Singapore by early 2026, underscoring its long-term strategic investment in autonomous vehicle technology through partnerships and stakes in companies like WeRide and May Mobility, despite acknowledging potential challenges from lower labor costs in Southeast Asia. Concurrently, the company reported robust Q3 revenue of $873 million, a 22% year-over-year increase driven by double-digit growth across all segments, and raised its 2025 adjusted EBITDA forecast to $480-$500 million. Despite these strong top-line results, Grab's shares fell 4.7% following the earnings call, possibly due to a modest net income increase to $17 million, while the firm also highlighted extensive AI integration for operational efficiency and innovation.

Analysis

Grab (GRAB) plans to deploy robobuses in Singapore by early 2026, marking a significant step in its autonomous vehicle (AV) strategy. This long-term vision, supported by strategic investments in WeRide (WRD) and May Mobility, aims to lead AV adoption in Southeast Asia. CEO Anthony Tan noted potential unit economics challenges due to lower regional labor costs but foresees new job opportunities in AV support. The company delivered robust Q3 results, with revenue up 22% year-over-year to $873 million, driven by double-digit growth across all segments. Deliveries grew 23% to $465 million, ride-hailing 17% to $317 million, and financial services led with 39% growth to $90 million. Grab also raised its 2025 adjusted EBITDA forecast to $480-$500 million, signaling positive operational momentum. Despite strong top-line performance and improved guidance, Grab's shares fell 4.7% post-announcement. This market reaction likely reflects the modest net income growth, which only increased from $15 million to $17 million year-over-year, suggesting profitability expansion lags revenue growth. Grab highlighted extensive artificial intelligence (AI) integration, with over 98% of engineers using AI for coding to accelerate development cycles. AI has also enhanced user experience, notably improving speech recognition accuracy for visually impaired users from 46% to 90%, underscoring a dual focus on internal efficiency and external innovation.

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