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APAC AI Hiring Trends 2026 · 32-page in-depth research font-medium
Choosing an ATS for a Lark team? Learn the four criteria that matter most: integration depth, workflow coverage, deployment speed, and compliance readiness.
Ashley Carter
Tesla runs the Tesla360 survey (91% participation), offers the 16-week Tesla Start Program, and pays ~$110K average. How its ownership culture drives innovation.
Ashley Carter
A practical guide to the recruiting metrics that matter in 2026, covering hiring efficiency, funnel conversion, source quality, pipeline health, benchmarks, and how recruiting analytics software helps teams make better hiring decisions.
Ashley CarterChoosing an ATS for a Lark team? Learn the four criteria that matter most: integration depth, workflow coverage, deployment speed, and compliance readiness.
Ashley CarterTesla runs the Tesla360 survey (91% participation), offers the 16-week Tesla Start Program, and pays ~$110K average. How its ownership culture drives innovation.
Ashley CarterA practical guide to the recruiting metrics that matter in 2026, covering hiring efficiency, funnel conversion, source quality, pipeline health, benchmarks, and how recruiting analytics software helps teams make better hiring decisions.
Ashley Carter
Facing 10,000+ resumes and fragmented interview workflows, a leading energy company adopted MokaHR AI ATS to transform its hiring process. With AI recruiting and automated screening, the company reduced hiring inefficiencies, improved candidate matching, and accelerated decision-making at scale.
Ashley CarterMay 20264 min
Read how a global fashion unicorn leveraged MokaHR ATS to build a structured interview process across 150+ countries.
Ashley CarterMay 20263 min
Discover how Moka AI helps healthcare organizations streamline hiring with AI resume screening, achieving 4x faster
Ashley CarterMay 20264 min
See how this global food manufacturer achieved scalable hiring and enhanced workforce diversity using intelligent screening models to lift interview-to-offer rates by 22%.
Ashley CarterMay 20262 min
Global average time-to-hire reached 44 days in 2025 — up from 31 in 2023. The problem isn't that hiring is slower everywhere; it's that most teams can't see exactly where their own pipeline is failing. This piece introduces a 7-stage audit framework with industry benchmarks, four diagnostic patterns matched to specific automation interventions, and a 21-day pipeline scorecard teams can start using on Monday
Ethan CaldwellMay 202616 min
Most articles about AI in recruiting are abstract. This one is concrete: we walk through the actual working day of a mid-level recruiter at a 500-person company, hour by hour, showing exactly which tasks AI ATS automates, where the time savings come from, and what the recruiter does with the reclaimed hours. Based on aggregated workflow data from Moka customers in 2024–2025.
Ethan CaldwellMay 202615 min
A definitional Insights piece introducing the concept of the "Candidate Digital Twin" — the dynamic, AI-maintained representation of every candidate in an organisation's hiring ecosystem. Examines the four layers of a Candidate Digital Twin, why traditional ATS systems cannot build one, the three use cases this unlocks (Talent Rediscovery 2.0, predictive offer acceptance, bias-corrected outcome modelling), and the ethical line between candidate intelligence and candidate surveillance.
Ethan CaldwellMay 202612 min
A data-driven analysis of how artificial intelligence is reshaping recruiting across Singapore, Hong Kong, Malaysia, Japan, Korea, and Greater China — drawing on LinkedIn's 19,113-respondent global survey, Singapore's Workplace Fairness Act, Malaysia's PDPA 2024 amendments, and adoption data from Moka's 2,000+ enterprise customers. Includes a regional adoption map, ROI benchmarks, the four bias compliance frameworks every Asian HR leader must understand, and three predictions for 2027.
Ethan CaldwellMay 202615 min