Welcome to Relay Weekly No. 8.
I am writing this from Bangkok, where I have been spending a few days on holiday. Between the street food in Yaowarat, the older streets around Song Wat, the murals in Talat Noi and the seemingly endless new malls, it is hard not to feel that Thailand's economy is growing in several directions at once.
A lot of what I have been reading this week points in the same direction.
At a Foreign Correspondents' Club of Thailand forum, Deputy Prime Minister Yodchanan Wongsawat argued that Thailand should build AI around its agriculture and biodiversity data. The agriculture ministry has launched Agri-Map to help farmers decide what to grow. In Chanthaburi, durian orchards are adding cameras and sensors as China, which takes more than 90% of Thailand's durian exports, pushes for greater traceability. And in Bangkok, retail-tech firm Wonder AI is pitching store cameras as a decision-making tool rather than simply security equipment.
The investment story is real. So are the frictions underneath it. Two of those are in Suggested Reads this week: the pressure that data centres are putting on clean power and water, and what Thai social-media users are actually worried about as AI adoption grows.
This week's Analysis is about a different kind of infrastructure. For years, choosing an AI model was mostly a vendor decision. Organisations can now compare models against the same task, send different workloads to different models based on cost or capability, and switch models without rebuilding the whole application. Japan, India and Hong Kong offer three very different examples of this shift.