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Rising AI costs seen bolstering PHL outsourcing competitiveness

THE outsourcing industry could remain competitive against artificial intelligence (AI) as the rising cost of “tokens” to operate the technology could deter companies from total automation, according to property consultant Jones Lang Lasalle (JLL) Philippines. While the firm remains cautious about AI’s potential to reduce office footprints in the long term, it expects 2026 to […]

Context & Analysis

The JLL observation lands at a moment when many firms are treating AI less as a simple replacement for workers and more as an expensive operating layer. Generative systems can draft emails, summarize calls, screen documents, or generate code, but they also consume compute resources, require guardrails, and often need human review to avoid errors that could affect customers or compliance records. For Philippine outsourcing companies, that cost pressure may make a fully automated service model harder to justify, especially where clients expect accountability, nuanced judgment, and continuous improvement. The competitive edge may not be “human versus machine,” but the ability to combine trained personnel with AI tools in ways that keep quality high while controlling expenses.

This matters because outsourcing remains one of the country’s important service exporters and a major source of urban employment. If AI costs stay elevated, clients may delay replacing entire processes with autonomous systems and instead outsource hybrid workflows: Philippine teams handle client communication, exception handling, quality assurance, and process design, while software assists with repetitive tasks. That dynamic can support demand for office space, data centers, and professional services even as firms rethink how much real estate they need per employee. It also gives local providers an opening to move up the value chain, selling not just transactional support but AI-enabled service design, analytics, and managed operations.

The key question is whether cost pressure persists long enough for this hybrid model to become standard. If token prices fall rapidly, or if clients build in-house automation faster than suppliers can adapt, the advantage could shift again. Watch how major BPO providers package AI services, whether clients begin demanding human-in-the-loop controls, and how Philippine data privacy, cybersecurity, and labor rules evolve. The near-term story may not be AI wiping out outsourcing, but a more expensive, less automatic transition that keeps people central while reshaping their roles.

Analysis by IJE Software — original commentary on the story above.

This is an excerpt. Read the full article at the original source:

Source: bworldonline.com

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