2025 EDITION

THE PHILIPPINE AI REPORT EXECUTIVE BRIEF

Over 92% of Philippine organizations used AI in some capacity last year, but 65% remain stuck in proof-of-concept stages.

This report examines the gap between experimentation and execution, and the leadership decisions that determine whether AI efforts scale or stall.

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Widespread AI adoption has not translated into scale, with a small set of execution decisions determining whether initiatives deliver enterprise-level value or stall.

Key Findings

Widespread experimentation, limited scale

Over 92% of PH organizations used AI in some capacity last year, but 65% remain stuck in proof-of-concept stages.

Exhibit 1

AI usage for the previous year (2024)

Swarm Technologies, Inc.

Security concerns slow adoption

40% identify security and privacy concerns as major obstacles, with organizations deploying AI on fragile cybersecurity foundations.

Individual adoption is high, yet organizational integration lags

ChatGPT leads adoption at 83%, but 42% of employees pay for these tools themselves, leaving organizations with fragmented, non-standard AI stacks and increased compliance risk from ungoverned usage.

Talent shortage is the biggest threat

57% cite skills gaps as their primary barrier to AI deployment. There are not enough trained practitioners to meet demand.

Exhibit 2

What challenges has your company faced in adopting GenAI?

Swarm Technologies, Inc.

Off-the-shelf wins, but in-house build is rare

Only 12% report using frameworks like PyTorch or TensorFlow/JAX, and only 10% use NVIDIA CUDA, which signals limited deep build capability.

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AI is already delivering in productivity workflows

Internal automation, content creation, and data analysis/decision support are the top deployed use cases.

Strong executive commitment

61% of organizations report C-level oversight of AI initiatives, signaling strategic prioritization at the highest levels.

Exhibit 3

Who currently leads your company's AI strategy?

Swarm Technologies, Inc.

The next wave is operational expansion

Planned adoption rises sharply in HR/recruitment, forecasting/predictive, and customer service chatbots.

What You’ll Find In The Full Report

Benchmark data on enterprise AI adoption, use cases, tooling, roles, and barriers

Practical implications for leaders trying to move from pilots to enterprise-wide production

Executive-ready takeaways you can use for planning and prioritization

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