How Web3 and AI will transform finance

With blockchain, everyone and anyone can now access financial services from anywhere. In the past, huge sums of money were often locked up in financial markets due to middlemen and other forms of operational friction. But the decentralised, community-based and -owned nature of blockchain technology makes it possible to bypass traditional, institutionally owned systems – together with their associated fees, rules on minimum transaction volume and operational lag.

In the panel discussion “How Will Web3 Shape Finance 2.0”, it is clear that the reduced cost, speed (think: instant settlement) and improved accessibility are a big win for financial inclusivity.

Moreover, digital assets and the underlying blockchain technology are giving rise to new asset classes. Following in the footsteps of cryptocurrency, real-world assets such as mortgages are being tokenised. Digital assets such as Bitcoin could also serve as economic instruments to hedge inflation (like gold) or raise venture capital, said Samar Sen (INSEAD MBA’08D), Senior VP and Head of APAC at Talos. However, he cautioned that the maturity levels of different use cases vary, and it is too early to tell which will be successful.

Harald Eltvedt, INSEAD alumnus (GEMBA’20J) and venture builder at SC Ventures asked: “We can tokenise everything, but does everything need to be tokenised?” His answer was “probably not”.

Also read: Global crypto exchange OKX strengthening its India Web3 presence

Are we there yet?

As these relatively nascent technologies continue to unfold, like many panellists, Hassan Ahmed, Country Director for Singapore at Coinbase, pointed to scalability being a challenge, primarily due to the lack of interoperability and market stability.

Interoperability requires market players, as well as the relevant stakeholders, to operate using common rules, standards and systems. Literally and figuratively, it calls for a common language.

Second, market stability is a necessary ingredient for trust and increased adoption. To ensure a more stable global market, regulatory collaboration and joint oversight can go a long way. We are now seeing cross-border cooperation between regulatory communities, such as between Europe and Singapore, Asia and Europe, as well as US to Singapore and Africa, said Anton Ruddenklau, Head of Financial Services at KPMG Singapore. For consumer trust and protection, liquidity reserves can be implemented as a safety net. There will be shocks in the systems and we need to build trust and liquidity in these systems, he said.

With little standardisation, market stability and regulatory certainty, progress at a global scale will look nothing more than patchwork. In the meantime, pension funds and big players will simply wait at the sidelines.

Four steps to business transformation

Ramchandani highlighted four steps for companies to better leverage the potential of GenAI. In fact, these steps are applicable to Web3 or other emerging technologies.

First, identify possible use cases and prioritise them. Leaders need to evaluate business needs alongside generative and traditional AI capabilities. Taking a realistic perspective of the time to value for each use case will help companies determine the feasibility of each one.

Second, once they have ascertained their priorities, firms should take a “data first” strategy. Lay a solid AI foundation by bringing together disjointed data sets and strong governance. To ensure that AI models are robust and serve the purpose they are built for, organisations must audit both the AI models and training data, said Laurence Liew, Director of AI Innovation at AI Singapore. A case in point is how OpenAI spends most of its resources on humans checking the outputs of their models.

Third, integration and implementation of AI solutions can only be successful if the organisation is ready. Thus, leaders need to look beyond the cost and benefits of GenAI solutions and consider the organisation’s AI readiness. Like most panellists, Zaid Hamzah, Managing Partner of FutureLaw.ai, agrees on the need for learning and reskilling, and along with that, the need to strike a balance between dependence and professional judgement. He said that investing in people not only helps companies reap the return of investment into GenAI, but also ensures that everyone can benefit from GenAI.

Fourth, recognise that not all AI is built equal. Test proofs of concept to identify what works for the business before scaling them. A deeper understanding of how the technology works and its capabilities can help decision makers move from asking “Where can we use it?” to “How good is it right now?”, said LingYi Chang, Founder and AI Consultant at 01 Solar.

Integrating GenAI will continue to raise these questions: How do we control our data? How to be both accurate and explainable? How to integrate our existing data and applications? How to control costs? How to deal with fraud and security? While some of these issues can be tackled at the company level, some require an ecosystem effort, or even regulatory intervention.

Also read: How FlexiLoans grew quickly yet profitably

Where do we go from here?

From the perspective of governance and regulation, the question is: How to create guardrails and ensure responsible use? In the case of GenAI, audit is most critical at the foundational model stage, where the model runs in a controlled environment, remarked Vihang Patel, INSEAD alumnus (CGM’21) and Founder and CEO of Splore. It is much more challenging to regulate or provide guardrails “after the fact”, he said. Therefore, the perfect time is sooner, rather than later.

In addition, a different approach is required in the regulation of GenAI. Current regulations tend to focus on the inputs and outputs of AI models, whereby regulations are based on the size of model and responsible use of outputs. But we need to go beyond the size of model to look into human responsibility in the use of GenAI, such as the issue of bias.

On the Web3 front, in spite of the recent collapse of FTX amid other crypto fallouts, Sen noted that safety has in fact improved in the last five years. He highlighted the “good” that came out of recent disasters: winding up of scamming companies, increased consolidation in the sector – and more importantly, a better understanding of the need to separate custodian and trading. The benefits of blockchain allowing everyone and anyone to access financial services come with an urgent need for consumers to better educate themselves, he cautioned.

At what point then would we have “arrived”? In an ideal, abstract world, transactions would take place without the need for external intervention, Sen projected. In any case, there’s no turning back. “We are on this ship together and there is nowhere to escape,” said Chang.