What impact will artificial intelligence have on the future of wealth management in the Philippines? This was the central theme of the third panel discussion at the Hubbis Philippines Wealth Management Forum in Manila on March 19. The handful of leading experts from banks, WealthTech providers, and advisory firms examined how AI is beginning to transform client engagement, adviser productivity, and business decision-making. The conversation moved well beyond theoretical discussions, with panellists sharing real-world examples of AI’s impact – from streamlining onboarding and client profiling to enabling faster, more personalised recommendations. While the opportunities for scaling services and improving efficiencies were clear, the panel also addressed the challenges of implementation, including fragmented data systems, regulatory uncertainty, and the risks of unchecked automation. What emerged was a call for careful, strategic adoption. Speakers emphasised the need for robust infrastructure, human-machine collaboration, and ongoing engagement with regulators. As AI matures, wealth managers who invest early and thoughtfully in these foundations will gain a competitive edge, while those who neglect them risk falling behind in an increasingly digital market.
Chair: Garett Lim, Head of Partnerships, Hubbis
Panel Speakers:
- Gautam Sharma, Head of Wealth Management Sales and Distribution, UnionBank of the Philippines
- Anurag Pandey, General Manager and Head, Asia Pacific, additiv
- Deanno Basas, Chief Experience Officer, ATRAM Investments
- Abraham Teo, Senior Presales Consultant, Wealth Dynamix
Key Takeaways from the Discussion
Building the right foundations for AI
The panel began by underscoring that AI adoption cannot succeed without a robust data foundation. Fragmented legacy systems that do not communicate create significant barriers to extracting insights. Panellists highlighted the need for a unified data layer across platforms to enable meaningful AI-driven outcomes. Without this, attempts to scale or personalise client services are likely to fail. Forward-looking firms are investing in building common data models and workflow layers that can support both automation and human decision-making, forming the critical backbone for long-term AI integration.
Enhancing adviser efficiency and productivity
One of the strongest themes in the discussion was AI’s potential to dramatically enhance relationship manager productivity. Much of an RM’s time is still spent on non-client-facing tasks and inefficient backend processes. By using AI-powered tools for meeting summaries, data aggregation, and predictive insights, firms can free up RMs to focus on high-value advisory work. AI is already being used to identify potential clients, optimise sales pipelines, and speed up research processes – not by replacing advisers, but by making them faster, smarter, and more responsive.
Scaling through hyper-personalisation
The discussion highlighted how AI can enable wealth managers to serve broader client segments without sacrificing quality. Hyper-personalisation, made possible by machine learning and real-time data analysis, allows firms to deliver tailored advice to clients across wealth tiers. This is particularly valuable in markets like the Philippines, where firms are expanding beyond the ultra-wealthy to serve mass affluent clients. AI-powered nudges and automated recommendations are helping advisers target clients with appropriate solutions at the right moments, driving both revenue growth and stronger client relationships.
Driving new client acquisition
Panellists observed that AI’s role is not limited to servicing existing clients; it is becoming a powerful tool for acquiring new ones. By analysing demographic data, spending patterns, and external data sources, AI can help identify emerging wealth segments and potential clients. In the Philippines, this approach is being used to find and target next-generation wealth holders and previously underserved client groups. This proactive, data-driven targeting could help banks and wealth managers expand market share and tap into new growth opportunities.
Human oversight remains critical
While AI offers immense potential, panellists agreed that it cannot replace human judgement. The technology should empower advisers, not act independently. In sensitive areas like portfolio construction or direct client recommendations, human intervention and oversight are essential. The speakers stressed that wealth managers must build AI solutions that enhance conversations, rather than dictate outcomes. The goal is to support advisers with smarter tools, not replace them. Clients, especially in higher wealth tiers, continue to value personal interaction and trusted relationships above all.
The challenge of fragmented infrastructure
Many firms in the Philippines still struggle with disjointed systems and siloed data, hampering their ability to implement AI effectively. The panel discussed how financial institutions must prioritise infrastructure upgrades and system integrations. Without these foundational improvements, AI initiatives will fail to scale or deliver meaningful ROI. Institutions are starting to invest in workflow automation, data governance, and integrated CRM platforms that can support AI tools – but the process remains slow and complex. Early adopters with cleaner data and unified systems will have a significant competitive advantage.
Adapting global solutions to local realities
Panellists shared that while advanced markets are already deploying AI in wealth management, directly importing those models to the Philippines is not always practical. The local market still values human interaction, and clients may not yet trust full robo-advisory solutions. Wealth managers need to adapt global best practices to suit Filipino client preferences, blending automation with high-touch service. Successful deployment will involve balancing digital tools with relationship management, ensuring AI solutions align with cultural and market-specific nuances.
Competitive pressures and emerging business models
The panel acknowledged that AI is lowering barriers to entry for new players in wealth management. Digital-first platforms are emerging quickly, using AI to scale advisory services without large teams of human advisers. While these platforms are gaining traction in developed markets, panellists argued that local players’ deep understanding of client behaviours and preferences remains a competitive advantage. By combining technology with local expertise, wealth managers can defend their position against digitally native competitors while exploring ways to innovate and stay relevant.
Responsible AI and regulatory engagement
Regulatory uncertainty was a concern raised by all speakers. Without clear guidelines, financial institutions are cautious about deploying AI tools that directly impact clients. Panellists agreed that self-regulation and internal governance are critical. Firms must put responsible AI frameworks in place to ensure transparency, avoid bias, and protect client interests. Engagement with regulators was also encouraged, with speakers noting that early dialogue can help shape future guidelines and create safer environments for AI deployment in wealth management.
Preparing for long-term success
The discussion closed with a consensus that AI is not a quick-fix solution, but a long-term strategic investment. Wealth managers need to build the right infrastructure, develop strong partnerships, and train advisers to work with AI tools effectively. The firms that succeed will be those that invest early, start small, and scale wisely – always ensuring that human intelligence remains at the centre of the client relationship. As the technology matures, those with well-built foundations and responsible oversight will shape the future of wealth management in the Philippines.
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