About
An independent regional scenario project
Contributors write in their personal capacities. The project accepts no conditional funding and publishes its assumptions and limits.
Purpose
Mission
Asia 2035 is an independent scenario project on AI, semiconductors, energy, and cognitive labour in ASEAN. Much of the detailed public work on transformative AI futures treats the region as the hardware backdrop to a two-power race. This project treats ASEAN countries as actors with decisions of their own.
The project makes questions about compute, labour, sovereignty, and governance concrete enough to argue about, plan around, and act on before 2035.
Contributors
Team and advisors
Roles are listed by function. Named attribution is published as contributors confirm it, alongside their disclosure statements.
Regional research lead
Scenario direction and narrative
Independent, Jakarta
Semiconductor & packaging advisor
Hardware bottleneck accounting
Industry practitioner, Penang
Labour economist
Cognitive-labour exposure and transition modelling
University-affiliated, Bangkok
Energy systems analyst
Grid, water, and datacentre siting constraints
Independent, Kuala Lumpur
AI governance researcher
Evaluation, disclosure, and control mechanisms
Independent, Singapore
Workforce transition practitioner
BPO transition programme design
Industry practitioner, Manila
Commitments
Funding and independence
- Contributors participate in their personal capacities. Institutional affiliations are listed for context and do not imply institutional endorsement.
- The project accepts no funding from frontier AI developers, hyperscale cloud providers, or semiconductor manufacturers, and does not accept funding conditioned on findings, framing, or review rights.
- All assumptions, parameter ranges, and limitations are published. Where the project is uncertain, it says so. Where it is making a judgement call, it names it as one.
- Corrections are welcome and are published rather than quietly applied.
Acknowledgements
Credits and inspiration
This project borrows its structure from public AI-futures scenario work: long-form forward-conditioned narratives, transparent parameters, and published methodology. Its text, assets, and code are original.
Exposure estimates referenced in the narrative draw on published international labour research on generative AI and occupational task profiles. Datacentre and packaging capacity characterisations draw on public industry reporting and national energy planning documents.