AIキャリアマップ:どの仕事が圧縮され、どの仕事が拡大されるか?
職業を自動化曝露度、資格・説明責任、現場作業、信頼度、規制責任で6つのクラスターに分類。
AI can assist, but the licensed professional carries final accountability.
代表的な職業:公認会計士、税務アドバイザー、弁護士(ソリシター)、移民エージェント(登録移民代行業者)、権利譲渡士(不動産権利弁護士)
→ Use AI as an efficiency tool; deepen judgement, specialisation and accountable experience.
Involves public safety, enforcement, compliance, approvals and accountability held by people.
代表的な職業:監査人、税関職員/国境警備官、コンプライアンスオフィサー、特許審査官、スポーツ審判。
→ Use AI for compliance and analysis efficiency; build field, investigation and management experience.
Work depends on being on-site, tools, environmental judgement and physical operation.
代表的な職業:林業労働者/樹木医、屠畜・食肉加工労働者、農場マネージャー、水産養殖作業員、ぶどう栽培作業員
→ Solidify licences and safety; add supervision, contracting and quoting skills.
Value comes from emotional labour, care relationships, persuasion and trust.
代表的な職業:犬舎管理員、住宅ローン・ブローカー(住宅ローン仲介業者)、保険ブローカー、バイヤーズエージェント、保険ブローカー
→ Use AI to cut paperwork; invest time in relationships and judgement; develop specialisation and supervision.
AI absorbs junior tasks but greatly amplifies senior judgement and output.
代表的な職業:農業技術者/農学者、環境コンサルタント、園芸作物栽培者(その他)、農学者。、醸造家
→ Entry roles narrow — move from executor to decision-maker fast.
Much of the work is text, data entry, lookup and standard analysis — easiest for AI to take over.
代表的な職業:アーカイブ管理者、一般事務員、オフィスマネージャー、簿記係。、銀行員
→ Don't just learn tools — level up into domain knowledge, client communication, compliance and data judgement.
マップ表示(2Dマトリックス)
Licensed & accountable Resilient
Licensed practice with legal liability — AI offloads work but cannot take responsibility; judgement stays human.
- First drafts of records
- Lookup and collation
- Initial risk/anomaly flags
- Scheduling and admin
- Licence and legal liability
- On-site work and complex judgement
- Accountability for outcomes
- Client/patient trust
- Those willing to certify and own responsibility
- Those valuing stability and depth
- Those avoiding certification/compliance
- Those wanting fully remote work
Use AI as an efficiency tool; deepen judgement, specialisation and accountable experience.
Low automation risk and worth entering — be ready for certification and ongoing compliance.
Build: licences/specialisation, verifying AI tools, English, client communication, coordination.
Regulated & public safety Resilient
Decisions carry public-safety and legal accountability requiring human oversight; AI only assists.
- Draft records and reports
- Cross-checking and lookup
- Generating standard checklists
- Decision authority and accountability
- On-scene response and judgement
- Statutory powers and compliance
- Public trust
- Those valuing order, duty and fairness
- Those passing vetting/fitness
- Those avoiding shifts/pressure/risk
- Those whose only goal is migration
Use AI for compliance and analysis efficiency; build field, investigation and management experience.
Low automation risk and stable — often needs citizenship and vetting, so plan ahead.
Build: compliance/investigation credentials, data analysis, report writing, regulatory knowledge, coordination.
Hands-on & site-based Resilient
Tasks happen in the physical world needing dexterity and on-the-spot judgement — hard to fully automate soon.
- Draft quotes and material estimates
- Scheduling and records
- Looking up standard procedures
- On-site operation and physical skill
- Environment and safety judgement
- Handling surprises
- On-site client trust
- Hands-on people who like field work
- Those wanting AI-resilient trades
- Those avoiding physical/outdoor work
- Those avoiding trade licences
Solidify licences and safety; add supervision, contracting and quoting skills.
Low automation risk but high physical/licensing barriers — weigh the apprenticeship commitment.
Build: licences, English, safety standards, client communication, quoting/business skills.
Human trust & care Resilient
The core is human relationships and trust; AI can assist with notes and prompts but cannot replace empathy.
- Case notes and paperwork
- Lookup and referral info
- Standard communication materials
- Empathy and emotional labour
- Long-term care relationships
- Judgement on complex cases
- Crisis handling
- Empathetic, resilient people
- Those who value helping others
- Those who struggle with emotional load
- Those chasing fast high pay
Use AI to cut paperwork; invest time in relationships and judgement; develop specialisation and supervision.
Low automation risk and steady demand — suits those valuing meaning; expect mid-level pay.
Build: specialist qualifications, case management, supervision, compliance and coordination.
AI-augmented Opportunity (entry narrows)
Junior execution gets automated; value moves up to framing, judgement and collaboration — AI users multiply output.
- Boilerplate code and scripts
- Initial data cleaning and charts
- Standard docs and first drafts
- Basic research summaries
- Problem framing and design
- Business understanding
- Cross-team delivery
- Verifying AI output
- Those who grow from doer to decision-maker
- Those embedding AI in workflows
- Those relying on repetition
- Those not learning continuously
Entry roles narrow — move from executor to decision-maker fast.
Still worth entering — aim to combine AI fluency with domain sense.
Build: domain software, data analysis, business sense, AI workflows, project communication.
High AI exposure High risk
Highly standardised output that LLMs and RPA can replicate, so whole tasks get automated and headcount shrinks.
- Data entry and spreadsheets
- Standard emails and basic copy
- Simple report generation
- Lookup and filing
- Templated design
- Trust with clients and colleagues
- Grasp of the whole process
- Handling exceptions and judgement
- People entering fast then leveling up
- Those willing to learn tools + domain
- Those wanting only basic execution long-term
- Those resisting new tools
Don't just learn tools — level up into domain knowledge, client communication, compliance and data judgement.
Fine as a short-term entry, but plan to move toward more durable roles quickly.
Pivot toward: Medical Receptionist, Practice Manager, Compliance Officer, Payroll Specialist, Data Analyst.