Interviews with 24 knowledgeable participants in Lagos and Abuja identify skills, data, finance and governance barriers to AI-enabled sustainable construction. The qualitative two-city evidence describes perceived readiness rather than measured project outcomes.
Key findings
- Interviews with 24 knowledgeable participants in Lagos and Abuja identify skills, data, finance and governance barriers to AI-enabled sustainable construction. The qualitative two-city evidence describes perceived readiness rather than measured project outcomes.
Why this matters globally
This work adds internationally comparable evidence in Engineering and defines questions for replication in other populations or systems. Its global value lies in the evidence and transferable reasoning, not in a single impact score.
Thai researcher contribution
Thailand-linked authors and Shinawatra University contribute to the research network behind this work. Thai participation is identified from bibliographic affiliations and should be checked against the author list and source article.
Limitations to consider
Findings reflect the sampled context and should not be treated as prevalence estimates or population-wide conclusions without further testing.