The GenAI evolution and Indonesia’s path to economic transformation
Published on October 16, 2024
Top Southeast Asian venture capital firm ACV Capital (formerly AC Ventures), Boston Consulting Group (BCG) with its tech build arm BCG X, and the Indonesian Chamber of Commerce and Industry (Kadin Indonesia) recently published a marquee sector report titled “Harnessing the Power of GenAI in Indonesian Financial Services.”
The study explores the adoption and impact of GenAI in Indonesia’s financial sector, offering strategic advice for public and private leaders on integrating GenAI into their products and operations. The report’s co-authors include Andy Lees, Managing Director and Partner of BCG X, and Pandu Sjahrir, Founding Partner of ACV Capital and the current Department Head of Economic and Financial Technology at Kadin Indonesia.
Andy and Pandu recently joined an episode of the Indonesia Digital Deconstructed podcast to discuss their views on where the new technology is headed in emerging Asia – not just in the banking and financial sector – amid rapid adoption and Indnoesia’s government mulling the idea of building out sovereign AI for national security and economic interests.
Avoiding endless pilots
Andy, with decades of experience in corporate innovation, emphasized the challenges of transitioning GenAI projects from pilot phases to scalable solutions that deliver substantial business value.
He explained, “There’s not a shortage of people trying to adopt this technology, which is great. However, many initiatives get stuck in a loop of endless proof of concepts, and we need large enterprises to learn how to break this habit.” Emphasizing the report’s assertions, he suggested that aligning GenAI initiatives with clear organizational KPIs and strategic priorities is crucial for moving beyond the prototype stage – not just for long-standing financial institutions, but for all large businesses in the market.
In terms of unexpected findings, Andy pointed out, “One thing that surprised me was how rapidly GenAI is being adopted across sectors. Despite high adoption rates, pushing these initiatives to create organizational impact remains a significant hurdle.” This suggests a disconnect between enthusiasm for technology and its practical application in business environments that have already reached enterprise scale.
On the subject of talent and workforce capabilities, Andy highlighted the critical gap in upskilling employees to effectively use AI tools. “There’s a huge opportunity to utilize this technology among the existing workforce. The usage hurdle with GenAI is lower, and you might not need a data scientist to implement effective GenAI initiatives,” he remarked. This indicates a need for structured training programs that include not just the tools and technology, but also the processes and change management essential for employees to adapt.
Data centers and key resources
Meanwhile, Pandu, focusing on the regulatory and infrastructure aspects of GenAI adoption, discussed the concept of sovereign AI and its potential implications for Indonesia.
“We need to think carefully about the regulatory and infrastructure changes needed to support such an initiative,” he said, highlighting the importance of data sovereignty and digital infrastructure. Pandu stressed that for Indonesia to effectively develop a sovereign AI framework, significant investment in digital infrastructure, like data centers, is paramount.
In turn, because data centers are extremely heavy on power consumption and therefore the national power grid, this also means investing heavily into green energy to ensure data centers can be powered sustainably for the long term in Indonesia. From an infrastructure standpoint, this also has large implications for water consumption, as data centers require immense amounts of water daily to stay cool and operate properly – especially those outfitted with GenAI infrastructure.
Infrastructure, policy, and the digital divide
Pandu elaborated on the potential long-term impacts of GenAI on Indonesia’s economy, particularly concerning job creation, economic diversification, and global competitiveness. “GenAI democratizes information and access to knowledge, potentially creating a clear performance distinction between those who adopt early and those who wait,” he observed. This early adoption could lead to significant advantages in a rapidly evolving digital economy.
He also cautioned about the social implications: If not managed carefully, however, this could further the divide between the haves and have-nots in Indonesia, potentially leading to social instability.” This highlights the need for thoughtful public policy that ensures equitable benefits for middle-class earners and MSMEs from AI and GenAI advancements in the nation.
Adding to the complexity of AI integration, Pandu also emphasized the importance of understanding the infrastructure needed to support AI at a national level. “We’re the smallest in ASEAN on a per capita basis in terms of digital infrastructure, even compared to countries like Malaysia and Thailand. This is something we need to focus on and invest in,” he said, adding that this infrastructure development is essential for supporting the demands of AI systems and ensuring that Indonesia remains competitive on the global stage.
Both Andy and Pandu agreed that while GenAI presents unprecedented opportunities for economic transformation in Indonesia’s society and macro economy, it also requires comprehensive strategies encompassing governance, talent development, and regulatory frameworks.
