Survival of the Smartest: Why Indonesia’s Midmarket Businesses Are Betting Big on Gen AI

In the rapidly evolving landscape of the Indonesian economy, a fascinating trend is emerging among midmarket businesses. While you might expect the fastest-growing companies to be the pioneers of cutting-edge technology, a recent study by SAP reveals a surprising paradox: it is actually the businesses with lower revenue growth that are leading the charge in Generative AI (Gen AI) adoption. According to the data, 60% of companies experiencing slower growth are prioritizing Gen AI, compared to 51% of their higher-growth counterparts.

This shift suggests that for many Indonesian firms, AI is no longer just a luxury for the leaders—it has become a strategic lifeline for those looking to pivot, optimize, and regain their competitive edge. Utkarsh Maheshwari, Chief Partner Officer and Head of MidMarket at SAP Asia Pacific & Japan, describes Business AI as the single biggest technology opportunity of the 21st century for Indonesian enterprises. He emphasizes that the benefits extend far beyond large-scale corporations; businesses of all sizes can now leverage AI that is relevant, reliable, and responsible.

Why Gen AI is the New Corporate North Star

The SAP study, which surveyed 556 organizations in Indonesia as part of a massive global cohort of over 12,000 businesses, underscores that AI has moved from the "experimental" phase to a top-tier organizational priority. A staggering 95% of Indonesian midmarket businesses—defined as those with 250 to 1,500 employees—rank the adoption of Gen AI as a medium or high priority. Close behind is the adoption of standard AI applications, such as machine learning for predictive analytics, which sits at a 94% priority level.

While AI is capturing the headlines, it is part of a broader push toward modernization. Indonesian business leaders are balancing their tech ambitions with other critical concerns, including cybersecurity (95%), environmental sustainability (95%), and the ongoing need to fix vulnerabilities in global supply chains (93%).

Transforming Every Corner of the Business

Indonesian organizations aren't just looking at AI for a single use case; they see it as a transformative force for their entire operational structure. One of the most critical areas of focus is data security and privacy, with 62% of midmarket firms placing a high priority on using AI to safeguard their digital assets.

Beyond security, AI is being tapped to solve complex organizational puzzles. About 57% of leaders want AI to sharpen their decision-making processes, while 50% are looking to the technology to help them invent entirely new business models. Other key areas of focus include supply chain optimization (48%), personalizing the user experience (46%), and enhancing overall customer satisfaction (46%).

From Strategy to Execution: AI is Already Here

If you think AI adoption is a distant future goal, think again. The data proves that Indonesian businesses are already knee-deep in implementation. Currently, AI is being used extensively to develop marketing and sales content (92%) and to manage interactions with customers and vendors (91%). It is also playing a silent but vital role in the back office, with 89% of firms using it for fraud detection and 87% utilizing it to monitor cybersecurity threats.

Maheshwari points out that while the "Generative" aspect of AI is the new star, the concept of Business AI has been around for decades. SAP currently supports more than 27,000 customers globally with Business AI, including many in Indonesia. The company has already released over 70 Gen AI use cases in the past year alone and expects that number to climb above 100 by the end of 2024.

The Data Quality Hurdle

Despite the enthusiasm, the path to total AI integration is not without its obstacles. Indonesian midmarket leaders are acutely aware that their AI is only as good as the data feeding it. About 41% of respondents cited a lack of quality data as a primary internal challenge to growth, followed by supply chain disruptions (40%) and a lack of integration between disparate systems (38%).

When it comes to the risks of AI itself, the concerns are very practical. The biggest fear, shared by 37% of businesses, is the risk of acting upon incorrect information. Other significant concerns include a lack of transparency in AI-generated results (33%), insufficient data size (32%), and potential legal liabilities (31%).

Ultimately, the message from the industry is clear: to make Business AI a reality, companies must focus on the scale and quality of their data. By partnering with technology providers like SAP—where AI is built directly into the applications powering critical business processes—Indonesian firms can navigate these risks and turn the promise of AI into tangible growth.