The Summer of AI is in full swing in Singapore.
This weekend, more than 1K builders, founders, and operators are expected to walk into the first Asia edition of the AI Engineer conference — an important conference for people looking to wield the power of AI rather than just discuss it. Super pumped for it. Feels like Christmas came early.
Personally, I'm already building, but this conference arrives at the right moment. I want to ship systems into production - go deeper on agents, workflows, infra, production patterns, orchestration layers, evals, AI operating models, governance, and org design in the agent era.
The industry is shifting from "should we use AI?" phase. The hard questions now are operational:
- Which workflows are actually worth automating?
- How do you govern autonomous agents without slowing teams down?
- How do you manage reliability, cost, observability, and accountability once agents become part of core operations?
Those are leadership problems now, not just engineering problems.
The lineup itself says a lot.
The industry is converging toward a new operational model: AI is no longer just a feature. It is becoming part of the workforce architecture.
The leadership topics I care most about are the practical ones that companies are actively struggling with right now:
- Enterprise architecture for agents and AI platforms
- AI operating models after deployment
- AI transformation for SMEs vs enterprises
- Sovereign AI and data residency
- Hiring and org design for AI-native teams
Because the reality is: most organizations are still early.
A lot of companies have demos. Far fewer have durable production systems. Even fewer have operating models that can survive rapid AI capability changes.
The biggest leadership problems are no longer model capability problems. They are organizational problems:
- proving ROI
- deciding which initiatives to scale or kill
- avoiding agent sprawl
- convincing regulators, boards, and customers that autonomous systems are accountable
The density of builders here right now is wild. Everyone is experimenting with the same underlying question:
What does an AI-native organization actually look like? This weekend probably will not produce a single answer.
But it does feel like one of those moments where the people building the future all end up in the same room at the same time.
See you there. HMU guys!