Why Philippine Enterprises Are Quietly Switching to Small Language Models
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By 2026, 78% of enterprise AI workloads are expected to run on models under 10 billion parameters, up from just 31% in 2024 (Source: Gartner, 2025). The shift is not a retreat from ambition. It is a hard lesson in economics, latency, and data sovereignty that large frontier models cannot solve for Southeast Asian businesses. For Philippine companies, the question is no longer "Which LLM is the smartest?" It is "Which model ships to production next quarter without breaking our budget or our…
1Key Takeaways
- By 2026, 78% of enterprise AI workloads are expected to run on models under 10 billion parameters, up from just 31% in 2024 (Source: Gartner, 2025).
- The shift is not a retreat from ambition.
- It is a hard lesson in economics, latency, and data sovereignty that large frontier models cannot solve for Southeast Asian businesses.
- For Philippine companies, the question is no longer "Which LLM is the smartest?" It is "Which model ships to production next quarter without breaking our budget or our….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that by 2026, 78% of enterprise AI workloads are expected to run on models under 10 billion parameters, up from just 31% in 2024 (Source: Gartner, 2025).
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