At iCapital’s main stage, the AI conversation focused less on labor market disruption and more on pragmatic direction: how AI can strengthen human expertise and make better decisions possible at scale.
Taking the stage for her keynote, Ananya Chadda, founder and CEO of Hypersonic and an investor and engineer deeply embedded in the AI ecosystem, shared her perspective on where AI is headed, and what that evolution means for the industry at large.
Her remarks focused on how intelligent infrastructure, when paired with experienced judgment, can help firms move faster, think more broadly, and execute with greater precision.
AI is everywhere, even when we don’t notice
One of the central ideas in Chadda’s talk was that AI is not a niche technology operating at the margins. It is already embedded across industries, often in ways people don’t immediately recognize.
In financial services, AI’s core strength lies in its ability to process unstructured data and trigger workflows as a result—whether monitoring portfolios, surfacing insights during client conversations, or generating first drafts of communications.
Chadda emphasized that these are not theoretical use cases. Large institutions are already integrating AI into day-to-day workflows, embedding it directly into existing platforms rather than treating it as a standalone experiment.
When seeing doesn’t necessarily mean believing
To illustrate how quickly AI capabilities have advanced, Chadda walked through a series of AI-generated video ads and challenged the audience to distinguish them from real content.
None were real. Every face, voice, and script had been generated by AI, highlighting how rapidly synthetic media is becoming indistinguishable from reality.
This shift introduces new considerations around trust, verification, and responsible use, while also unlocking meaningful upside—from lowering barriers to entry to accelerating innovation across industries.
Debunking the largest AI myths
Chadda used her talk to separate signal from noise in a space crowded with misconceptions.
Among the most persistent myths: that AI will replace advisors or eliminate the need for human expertise. In practice, she argued, trust remains central. Even the most effective AI systems perform better when paired with human oversight, particularly in client-facing roles.
Rather than endless scaling, progress is increasingly driven by architectural innovation—rethinking how systems, models, and workflows are designed.
Practical adoption starts small
A key takeaway from Chadda’s talk was that AI adoption does not require sweeping transformation. Many firms are already seeing value from targeted, incremental use cases—testing tools, augmenting specific workflows, and scaling what works.
Core systems such as CRMs, ERPs, and data infrastructure remain foundational, reinforcing the importance of trust and data integrity as AI capabilities expand.
We’re in the midst of a defining moment
Chadda closed by framing the current moment in AI as analogous to the early days of the internet—a period where adoption may not always be visible, but will ultimately define long-term competitiveness.
For firms willing to engage thoughtfully, AI represents not a replacement for human expertise, but a powerful force multiplier for those prepared to use it well.
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