Hub 01
Reducing cost via AI
How to use AI sourcing to cut LinkedIn Recruiter, BizReach, and your overall recruiting tool stack cost — the renewal playbooks, the migration plans, and the procurement audit framework.
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Practical guides for AI recruiting in Japan.
Written by named operators who have run an AI-first recruiting agency in Tokyo since 2018. Each guide answers a specific question — choosing between tools, calculating the unit economics of a recruiter meeting, evaluating AI candidate scoring — using production data and public Japanese filings rather than vendor pitch decks.
Hub 02
AI recruiting in Japan
The state of AI candidate sourcing in the Japan market — what it does well, where it struggles, what the regulatory framework requires, and how to evaluate vendors.
Hub 03
APPI compliance for AI sourcing
The two laws that govern AI candidate sourcing in Japan — APPI and the amended Employment Security Act. The 第4号 filing requirement, the foreign-processor problem, the Rikunabi precedent, the 2026 surcharge amendment, and a seven-question self-audit. Educational reading from inside the operator’s chair. Not legal advice.
Hub 04
AI candidate scoring
How AI candidate scoring actually works in production — what signals it reads, how it’s validated against placement outcomes, and where the limits genuinely are.
Hub 05
AI scout messaging
What makes an AI-drafted scout message produce a 3% reply rate in Japan instead of 0.3%. The mechanics, the constraints, and what hands-off operation looks like at scale.
Hub 06
Recruiting unit economics
The unit economic atom of every recruiting business: the value of a qualified candidate meeting. How to compute it for your firm, what it should be, and why it’s the only number that explains everything else.
Hub 07
Japan recruiting market intelligence
Quarterly market reports on the Japan recruiting industry — licensed-firm counts, agency bankruptcies, RPO migration, in-house TA absorption, and where the unit economics are heading.
First quarterly report ships June 2026 (Q2 FY26 edition).
How these guides are produced
Each guide carries the byline of a named human author, lists its sources inline, and follows the editorial process documented in our editorial standards. Where a guide cites production data from ExecutiveSearch.AI K.K. or ESAI Agency K.K., the published validation sample is documented in our methodology disclosure, including published-sample sizes and time windows. Cited figures are drawn from representative slices we share for external scrutiny; the firms’ complete production records are not disclosed. Articles are reviewed and refreshed on the cadence documented in the editorial standards — quarterly for cornerstone pillars, within fourteen days for any legal or regulatory change.
For deeper, longer-form briefings on the same territory, see our Insights series.