Peru’s artificial intelligence landscape presents a pattern that the 2025 Latin American AI Index makes precise: governance advancing, adoption surging, the foundations for sustained innovation lagging. Between 2024 and 2025, the country’s overall score climbed from 45.52 to 51.93. More significant than the point gain is what drove it: governance scores jumped from 54.83 to 74.36, one of the largest increases in the index. This reflects the impact of Peru’s AI law and active participation in international governance spaces. Institutionally, Peru has positioned itself as a reference point for the region on responsible frameworks.
But the same period shows relative decline in the dimensions that determine long-term value creation. Research, development, and advanced human talent registered backward movement. The result is structural asymmetry. Peru has built regulatory frameworks faster than it has built the ecosystems to deploy them effectively. It has created the architecture for responsible AI adoption without yet creating the architecture for responsible AI creation. The gap is not accidental. It reflects where investment has concentrated and where it has not.
The technical enablers paint a mixed picture. Data availability has improved significantly and now exceeds regional averages. Critical infrastructure, by contrast, advances more slowly. The effect is an environment that facilitates daily deployment of existing AI tools but constrains deeper technological development. Peru leads the region in traffic to AI platforms—users adopting rapidly, naturally, at scale. Yet this adoption does not translate proportionally into private investment, business development, or productive scaling. Users deploy more. Creators build less.
This pattern matters because adoption without production capacity creates dependency. Peru can adopt every frontier model and every open-weight offering. But if the region does not develop the talent and research infrastructure to understand those models, adapt them, and build upon them, it remains a consumer of tools rather than a participant in their creation. The governance advantage created by Peru’s early regulatory moves—and it is an advantage—only compounds the urgency of this gap.
The diagnostic from the ILIA Index is clear. Peru advances with strength in governance and adoption while still constructing the foundations for innovation capacity. The challenge ahead is not regulatory. Regulation is done. The challenge is strategic: converting advanced regulatory frameworks into effective incentives for investment in talent, applied research, and technological entrepreneurship. This requires a deliberate reorientation of how the state, the private sector, and universities allocate capital and attention.
The opportunity is equally clear. Governance, properly deployed, can become a platform for attracting the capital and talent required to move from adoption to innovation. The regulatory legitimacy Peru has earned can be leveraged to demonstrate that the country is a credible place to invest in AI development, not just AI deployment. Universities can use the framework as foundation for building research capacity. The private sector can use it as assurance that long-term investment in this space will be supported by stable, sophisticated policy.
If Peru consolidates governance as a foundation for productive capability development, the progress visible in the index can translate more consistently into sustained economic and technological impact. The frameworks are in place. The adoption is happening. What remains is the work of directing investment and talent toward the deeper work of creation. That translation is not automatic. It requires strategy.