Telkom Indonesia says companies will not move AI out of the pilot stage until they fix two basic bottlenecks first: clean, organized data and workers with the skills to use it.
Telkom Indonesia says AI needs data and talent
That message matters because AI adoption is increasingly about operating readiness, not enthusiasm. For businesses, the biggest gains come only when AI is embedded into core workflows, and that requires reliable data pipelines, enough computing capacity, secure systems and staff who can manage the technology without creating new risks.
Veranita Yosephine, Telkom’s enterprise and business services director, said the company sees data readiness and talent development as the two main factors needed to accelerate AI use in corporations. She made the comments at a discussion titled “From AI Experimentation to Trusted Enterprise Adoption,” reflecting how the market is shifting from experimentation toward deployment that can be trusted in day-to-day operations.
Telkom said the supporting ecosystem must include connectivity, data centers, cloud services, cyber security and computing capacity. That is a broader clue for investors: AI spending is not limited to software licenses, but extends across infrastructure vendors, telecom operators, cloud providers and security firms that enable enterprises to run AI safely at scale.
The Indonesian group is also positioning its Telkom Solution offer as a bundled play for corporate customers, spanning connectivity, AI, data centers, cloud and cyber security. If adoption widens, that mix could help Telkom deepen enterprise revenue and defend its role in Indonesia’s digital infrastructure stack, where competition is intensifying as more vendors target corporate AI demand.
The investor takeaway is that AI monetization still depends on execution inside customer organizations. Companies with poor data governance or limited digital talent may be slower to convert AI spending into productivity gains, while providers that can package infrastructure, security and training are better placed to capture the next phase of enterprise demand.
The next catalyst will be whether Indonesian corporates start turning from proofs of concept to larger-scale deployments, especially in sectors where operational efficiency and security are immediate priorities.
| Entity | Gains | Losses |
|---|---|---|
| Telkom Indonesia | ▲Enterprise demand for bundled AI services | ▼Fast adopters with in-house stacks |
| Cloud and data center providers | ▲More infrastructure spending | ▼Pure software vendors |
| Cybersecurity firms | ▲Higher need for AI safeguards | ▼Firms with weak digital controls |
| Corporate customers with strong data and talent | ▲Faster AI productivity gains | ▼Companies still stuck in pilot mode |




