Southeast Asia's Service-Heavy Model Becomes AI Advantage

Sheji Ho, co-founder of aCommerce, argues that Southeast Asia’s traditionally service-oriented business culture—long viewed as a weakness for SaaS adoption—may become the region’s competitive advantage in the AI era. Ho’s analysis, published in Tech in Asia, traces how operational constraints and labor-intensive workflows could be transformed by AI-powered service delivery models.

From SaaS to Service Reality

Ho describes launching BrandIQ (now EcommerceIQ) in 2018 as a SaaS analytics platform designed to track sales, pricing, and product performance across Southeast Asian marketplaces like Shopee and Lazada. However, clients quickly shifted expectations: instead of using the dashboard themselves, they requested manual services—“Can you quickly pull this report for me?” and “Can you help prepare recommendations for management?”

This pattern reflected a deeper regional reality. The Philippines’ business process outsourcing industry grew from less than 0.1% of the country’s gross domestic product (GDP) in 2000 to 8% to 9% by 2024, built almost entirely on labor arbitrage between Western demand and Southeast Asian labor costs. The cultural expectation, Ho argues, was never about self-serve tools but about having problems solved by service providers.

The Barbell Market Pattern

Ho identifies a “barbell” distribution pattern in Southeast Asia’s startup ecosystem: heavy concentration at both extremes (affluent consumers and lower-income users) with a thin, underperforming middle. This contrasts with Silicon Valley’s “power law” pattern, where a handful of companies dominate (Google in search, Meta and X in social, OpenAI and Anthropic in foundation models).

Chinese brands are rapidly dominating the lower end of Southeast Asia’s barbell, from electric vehicle makers to food and beverage chains like Mixue expanding aggressively across the region. Meanwhile, the middle cohort of “touristy founders”—those entering markets opportunistically without deep local knowledge—largely disappeared after the Covid-era funding bubble deflated.

AI as a Scalability Solution

Ho proposes that AI could reshape the economics of Southeast Asia’s service-heavy model. Using his BrandIQ example: what previously required account managers and analysts working overnight to prepare slide decks could now be generated in five minutes by an AI agent operating through email or messaging apps. The agent could pull data, generate scenario analysis, recommend promotions, and respond conversationally in real time.

This evolution from “managed SaaS” to “service-as-a-software”—selling outcomes rather than tools—aligns with Southeast Asia’s buyer preferences. Unlike mature markets optimized for self-serve software, Southeast Asia was optimized for services, and AI changes the scalability equation.

Operational Depth as Competitive Moat

Ho argues that founders who spent the past decade managing operations-heavy businesses may now be positioned for advantage in the AI era. The operational pain—understanding hyperlocal workflows, edge cases, and human coordination layers—becomes training data and context for AI systems.

This represents a reversal of the prevailing narrative. “After spending a decade being told that the region was ‘hard mode’ and impossible to scale,” Ho writes, “many founders may now discover that hard mode was actually the moat all along.”

The result, Ho suggests, will likely not resemble traditional SaaS but will instead be “messier,” “more hybrid,” “more operational,” and “more embedded in the real world”—precisely where Southeast Asia’s competitive advantage lies.