Young Filipinos Choose Human Advisers Over AI for Insurance, Prudential Study Finds

Young Filipinos still pick people over apps for insurance, with 76% favoring licensed advisers. The Philippines tops Asia, so lead with human advice and use AI quietly in support.

Categorized in: AI News Insurance
Published on: Feb 22, 2026
Young Filipinos Choose Human Advisers Over AI for Insurance, Prudential Study Finds

Young Filipinos still want human advisers for life and health insurance

Prudential's latest regional study shows a clear signal for insurers in the Philippines: young adults trust people over platforms for high-stakes decisions. Among Filipinos aged 20 to 35, 76 percent prefer a licensed adviser to digital or AI tools for life and health insurance guidance.

That human-first bias stands out across Asia. The Philippines ranked first for adviser preference among seven markets surveyed (Hong Kong, Indonesia, Malaysia, Singapore, Taiwan and Thailand), based on responses from 5,348 young adults.

What the numbers say

  • Product relevance: 68% prefer advisers to help identify the right products
  • Coverage clarity: 80% rely on advisers to explain benefits and limits
  • Claims help: 71% want a person to assist with claims
  • Policy upkeep: 65% choose advisers for ongoing policy management

Confidence is rising alongside that need for guidance. 81 percent expect their finances to improve over the next five to 10 years, and 44 percent see more opportunities ahead. Yet 73 percent say the era feels unpredictable-driven by higher living costs, family health concerns and the need for stability.

Prudential attributes the adviser preference to the nature of the decision itself. Insurance is personal and long-term. People want explanation, reassurance and trust-backed by real contact. Eight in ten young Filipinos have met or spoken with a financial adviser in the past five years.

Why this matters for insurers

Distribution and retention will favor carriers and agencies that lead with human advice and use AI in support-not as a substitute. The data also points to a long-term, stability-first investment mindset, so products that reward holding, simplify coverage, and reduce surprise at claim time will land better.

Digital still matters, but mainly to make advisers faster, clearer and more available. The winning play is a human-first model with smart automation in the background.

Move first: a human-first, AI-supported playbook

  • Strengthen advice moments: Equip advisers with simple visuals and one-page explainer scripts for coverage, riders and exclusions. Prioritize clarity over features.
  • Claims concierge: Assign an adviser or service rep as the single point of contact, with digital status tracking and proactive updates at each milestone.
  • AI as a co-pilot, not the face: Use AI for pre-meeting prep, form prefill, suitability checks, and post-meeting summaries. Keep the final call and sensitive conversations human. Explore AI for Insurance approaches that enhance underwriting, claims triage and service quality.
  • Consistent touchpoints: Since 80% have engaged an adviser recently, formalize cadence-annual reviews, life-event check-ins, and quick micro-education nudges that build trust over time.
  • Design for long-term holding: Offer transparent benefit timelines, inflation-aware riders, wellness integrations and claims certainty. Cut friction in renewals and beneficiary updates.
  • Make coverage understandable: Plain language, upfront examples, and side-by-side scenarios (e.g., inpatient vs. outpatient, critical illness triggers) reduce regret and build confidence.

Guardrails that earn trust

  • Explainability: If AI assists, show how recommendations are formed in simple terms and surface the key factors that drove them.
  • Easy escalation: One tap or call routes customers to a human-especially for claims, lapses, beneficiary changes and complex riders.
  • Consent and privacy: Be explicit about data use. Let customers opt out of automated decisioning for sensitive steps.
  • Quality assurance: Track misclassification rates on underwriting flags, claims triage accuracy and any bias signals. Retrain models on local data and audit often.

Distribution and service KPIs to track

  • Advice moments: First-meeting show rate, time-to-recommendation, and comprehension scores after coverage explanations
  • Claims experience: Time to first contact, time to decision, and adviser-led resolution rate
  • Trust signals: Referral rate, adviser NPS, and complaint-to-contact ratio
  • Digital assist: Advisor time saved per case, form error reduction, and drop-off at key steps

Bottom line: In the Philippines, human advice wins the decision, while AI earns its keep behind the scenes. Build around trust, make coverage simple, and let technology remove friction-not the adviser.


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