Bruce Yang

What “AI for everyone” actually looks like (at 20x lower cost than ChatGPT)

A lot of AI companies talk about serving everyone, but their products are still built around the economics and expectations of a few wealthy markets. Bruce can speak to what changes when affordability, accessibility, and everyday usefulness are treated as the foundation of the platform, not an afterthought, and why Agnes AI has focused on delivering roughly 90% of top-tier AI capability at around 10% of the cost. For hosts, this creates a strong conversation about what it really takes to make AI genuinely global, commercially viable, and useful to the other 99.5% of users most frontier platforms still overlook.

Why AgnesAI could become the most trusted company in tech

As more businesses bring AI into core decisions, trust is starting to matter just as much as raw capability. Bruce can speak to why Agnes AI is being built around neutrality, accessibility, and broad global usability at a time when many leading platforms are becoming entangled in political power, national allegiance, and closed ecosystems. With a multi-model architecture designed for flexibility, cost efficiency, and performance - including Agnes Claw rankings of #7 and #12 globally on PinchBench, ahead of models from several much larger AI companies - this becomes a timely conversation about why the company best positioned for long-term trust may be the one that feels safest, most usable, and most adaptable to the widest range of users.

Building Southeast Asia’s fastest-growing AI platform

Bruce’s entrepreneurial story spans Silicon Valley, Singapore, China, and multiple tech cycles, giving him a much wider lens than the average AI founder. With experience across Microsoft, LinkedIn, Berkeley, and now Agnes AI - a Singapore-based company approaching 10 million global users and nearly US$20 million in ARR - he can speak to what it takes to build a serious AI company outside the usual power centres. For founder and business audiences, this creates a strong conversation about conviction, timing, and why some of the next important tech companies may be built far from the places the industry is trained to watch.