The Generative AI Shock: Consultant Roles Replaced in 10 Minutes! Is the Management Consultant Job Disappearing?
The Generative AI Shock: Consultant Roles Replaced in 10 Minutes! Is the Management Consultant Job Disappearing?
π Summary
The large consulting industry, which once experienced a boom due to the rapid rise of Generative AI technology, now faces a fundamental threat to its business model from clients utilizing AI agents internally and technology companies entering the market directly.
π Why it Matters! (Meaning and Context)
In the past few years since the emergence of Generative AI, major consulting firms like McKinsey and BCG generated the most profit, driven by corporations' 'FOMO' (Fear of Missing Out) regarding AI adoption. They embraced a new boom period called AI Transformation (AIX), resulting in a deluge of advisory work for AI strategy formulation and system implementation. For example, Accenture projects its AI-related contract value to reach $5.9 billion (approx. 8.45 trillion KRW) by 2025, creating a paradoxical situation where consulting firms reap financial rewards while Generative AI developers bear massive development costs. However, as AI agents' deep research and report writing capabilities increasingly replace the roles of junior management consultants, clients are starting to question the necessity of hiring high-cost, long-term consulting services. This fundamentally threatens the traditional profit structure of the consulting industry and fosters a new competitive landscape.
π₯ Key Takeaways
1️⃣ Short-Term Boom for Consulting Firms Through AI Transformation (AIX)
Following the fading of the digital transformation wave, a new boom period was met, spurred by the AIX wave.
Requests for AI-related advisory services surged, including educating boards and executives, developing customer service chatbots, and building internal work AI agents.
BCG generated 20% of its 2024 revenue from AI-related consulting work, expecting this proportion to increase to 40% by 2026.
2️⃣ Aggressive Adoption of Generative AI for Internal Operational Efficiency
The consulting industry, where time is money, has been one of the fastest adopters of Generative AI.
McKinsey's 'Lily': An internal knowledge-trained chatbot used by over 75% of employees, assessed to contribute to a 30% reduction in employee work hours.
BCG's 'Dexter': Development of a presentation slide editor, an AI agent trained on 900 slide templates to accelerate presentation creation.
Deloitte's 'Zora AI': Designed to reason like a human management consultant, trained specifically for domains like finance and marketing.
3️⃣ Role Replacement and Workforce Reduction Driven by AI
The increased use of AI agents is leading to the replacement of junior consultant roles.
McKinsey reduced its workforce by approximately 10% between 2023 and 2025.
Accenture is investing in AI technology retraining while simultaneously implementing large-scale layoffs targeting employees deemed unlikely to acquire the necessary skills.
4️⃣ Client Perception Shift and Threat to Consulting Fee Structure
Clients recognize that by effectively using AI, they can internally generate analysis of comparable quality to that of a junior team in just 10 minutes.
Fundamental questions are being raised about the necessity of hiring large consulting firms at high costs.
Some clients have demanded reduced consulting fees, arguing they should fairly share in the efficiency gains resulting from consultants using AI agents to cut working hours.
5️⃣ Direct Entry of Technology Companies and Intensified Competition
OpenAI is directly entering the consulting business, starting in July 2025, by providing customized AI models for large corporations and government agencies.
Technology companies like Palantir are growing rapidly by replacing traditional consulting services with AI and data analytics technology.
AI consulting startups (e.g., Xavier AI, promoting itself as the 'McKinsey Killer') are creating a new market targeting mid-sized companies.
π Summary
Generative AI acts both as a new revenue source and the biggest threat to the large consulting industry. Initially, the massive demand from companies for AI adoption advice led to a boom, with major management consultant firms like Accenture, BCG, and McKinsey achieving record revenues. Internally, they adopted AI agents such as 'Lily' and 'Dexter,' boosting employee efficiency by over 30%. However, this gain in efficiency quickly led to the replacement of junior consultants and substantial workforce reductions. Clients, realizing they could perform high-quality analysis rapidly using their own AI, are now questioning the need for expensive external consulting. Capitalizing on this, AI consulting startups and senior-led boutiques are emerging, while technology giants like OpenAI and Palantir are fundamentally challenging the traditional consulting industry's position by offering an 'AI as a Service' model, building customized solutions directly within client organizations. In this era where technology and consulting are merging, the emphasis on the 'human insight' that only traditional management consultants can provide is becoming critically important.
π·️ Keywords
#GenerativeAI #AIAgents #ManagementConsultant #ConsultingIndustry #AITransformation #McKinsey #BCG #Accenture #AIaaS #JobThreat
μμ±ν AI, 10λΆ λ§μ 컨μ€ν΄νΈ μν λ체! κ²½μ 컨μ€ν΄νΈ μΌμ리λ μ¬λΌμ§λ κ±ΈκΉ?
π νμ€μμ½
μμ±ν AI κΈ°μ μ κΈλΆμμΌλ‘ νλ νΈν©μ λλ Έλ λν 컨μ€ν μ κ³κ° μ΄μ λ κ³ κ°μ¬μ AI μμ΄μ νΈ μ체 νμ©κ³Ό κΈ°μ κΈ°μ μ μ§μ μ§μΆλ‘ μΈν΄ κ·Όλ³Έμ μΈ μ¬μ λͺ¨λΈ μνμ μ§λ©΄ν¨.
π μ μ€μνκ°! (μλ―Έμ λ§₯λ½)
μμ±ν AIκ° λ±μ₯ν μ§λ λͺ λ κ°, κΈ°μ λ€μ AI λμ μ λν 'FOMO(Fear of Missing Out)' νμμ νμ μ΄ λ§₯ν¨μ§, BCG λ± λν 컨μ€ν νμ¬λ€μ΄ κ°μ₯ λ§μ μμ΅μ μ°½μΆνλ€. μ΄λ€μ AI νΈλμ€ν¬λ©μ΄μ (AIX)μ΄λΌλ μλ‘μ΄ νΈν©κΈ°λ₯Ό λ§μ AI μ λ΅ μ립 λ° μμ€ν κ΅¬μΆ μλ¬Έ μ 무λ₯Ό μμλ. μ€μ λ‘ μ‘μΌμΈμ΄λ 2025λ AI κ΄λ ¨ κ³μ½ κ·λͺ¨κ° 59μ΅ λ¬λ¬(μ½ 8.45μ‘° μ)μ λ¬ν κ²μΌλ‘ μμνλ©°, μμ±ν AI κ°λ°μ¬λ€μ΄ λ§λν κ°λ° λΉμ©μ κ°λΉνλ λμ 컨μ€ν μ κ³κ° μ¬μ μ μ΄λμ 보λ μμ€μ μν©μ΄ λ°μν¨. κ·Έλ¬λ μ΄μ AI μμ΄μ νΈμ λ₯ 리μμΉ λ° λ³΄κ³ μ μμ± λ₯λ ₯μ΄ μ£Όλμ΄ κ²½μ 컨μ€ν΄νΈμ μν μ λ체νκΈ° μμνλ©΄μ, κ³ κ°λ€μ κ³ λΉμ©/μ₯κΈ°κ°μ 컨μ€ν κ³ μ© νμμ±μ μλ¬Έμ μ κΈ°νκ³ μλ€. μ΄λ μ ν΅μ μΈ μ»¨μ€ν μ κ³μ μμ΅ κ΅¬μ‘°λ₯Ό μννκ³ μλ‘μ΄ κ²½μ νκ²½μ μ‘°μ±νλ κ·Όλ³Έμ μΈ λ¬Έμ μ.
π₯ ν΅μ¬ ν¬μΈνΈ (Key takeaways)
1️⃣ AI νΈλμ€ν¬λ©μ΄μ (AIX)μ ν΅ν 컨μ€ν κΈ°μ μ λ¨κΈ°μ νΈν©
λμ§νΈ νΈλμ€ν¬λ©μ΄μ μλ€ μ΄ν AIX λ¬Όκ²°μ νμ μ΄ μλ‘μ΄ νΈν©κΈ° λ§μ΄ν¨.
μ΄μ¬ν λ° μμμ§ κ΅μ‘, κ³ κ° μλΉμ€ μ±λ΄, μ λ¬΄μ© AI μμ΄μ νΈ κ΅¬μΆ λ± AI κ΄λ ¨ μλ¬Έ μμ² νμ¦.
BCGλ 2024λ λ§€μΆμ 20%λ₯Ό AI κ΄λ ¨ μλ¬Έ μ 무μμ μ°½μΆνμΌλ©°, 2026λ μλ μ΄ λΉμ¨μ΄ 40%κΉμ§ λμ΄λ κ²μΌλ‘ κΈ°λν¨.
2️⃣ λ΄λΆ μ 무 ν¨μ¨ κ·Ήλνλ₯Ό μν μμ±ν AI μ κ·Ή λμ
μκ°μ΄ κ³§ λμΈ μ»¨μ€ν μ κ³λ μμ±ν AIλ₯Ό κ°μ₯ λΉ λ₯΄κ² λ°μλ€μΈ μ κ³ μ€ νλμ.
λ§₯ν¨μ§μ '릴리': μ¬λ΄ μ§μ μ¬μ° νμ΅ μ±λ΄μΌλ‘ μ§μ 75% μ΄μ μ¬μ©, μ 무 μκ° 30% λ¨μΆ νκ°ν¨.
BCGμ 'λ±μ€ν°': 900κ° μ¬λΌμ΄λ ν νλ¦Ώ κΈ°λ°μ νλ μ ν μ΄μ μ¬λΌμ΄λ νΈμ§κΈ° κ°λ°.
λλ‘μ΄νΈμ 'μ‘°λΌ AI': κΈμ΅, λ§μΌν λ± νΉμ λΆμΌμ νλ ¨λ°μ μΈκ° κ²½μ 컨μ€ν΄νΈμ²λΌ μΆλ‘ νλλ‘ μ€κ³λ¨.
3️⃣ AIμ μν μν λ체μ μΈλ ₯ ꡬ쑰쑰μ λ°μ
AI μμ΄μ νΈμ νμ© μ¦κ°λ μ£Όλμ΄ μ»¨μ€ν΄νΈ μν μ λμ²΄λ‘ μ΄μ΄μ§.
λ§₯ν¨μ§λ 2023λ λλΉ 2025λ μ§μμ μ½ 10% κ°μΆν¨.
μ‘μΌμΈμ΄λ AI κΈ°μ μ¬κ΅μ‘μ ν¬μνλ λμμ κΈ°μ μ΅λμ΄ μ΄λ €μΈ κ²μΌλ‘ μμλλ μΈλ ₯μ λμμΌλ‘ λκ·λͺ¨ ν΄κ³ λ₯Ό λ¨νν¨.
4️⃣ κ³ κ°μ μΈμ λ³νμ 컨μ€ν λΉμ© ꡬ쑰μ μν
κ³ κ°λ€μ AIλ₯Ό μ νμ©νλ©΄ μ£Όλμ΄ ν λΆμκ³Ό μ μ¬ν νμ§μ κ²°κ³Όλ₯Ό 10λΆ λ§μ μ체μ μΌλ‘ λ§λ€ μ μμμ μΈμ§ν¨.
μλ°±λ§ λ¬λ¬λ₯Ό μ§λΆνλ κ³ λΉμ©μ λν 컨μ€ν νμ¬ κ³ μ© νμμ±μ κ·Όλ³Έμ μΈ μλ¬Έ μ κΈ°.
μΌλΆ κ³ κ°μ¬λ AI μμ΄μ νΈ νμ©μΌλ‘ λ¨μΆλ μ 무 μκ°λ§νΌ 컨μ€ν μμλ£ μ κ°μ μꡬν¨.
5️⃣ κΈ°μ κΈ°μ μ 컨μ€ν μμ₯ μ§μ μ§μΆ λ° κ²½μ 격ν
OpenAIλ 2025λ 7μλΆν° λκΈ°μ κ³Ό μ λΆ κΈ°κ΄μ λμμΌλ‘ λ§μΆ€ν AI λͺ¨λΈμ μ 곡νλ 컨μ€ν μ¬μ μ 본격μ μΌλ‘ μ§μΆν¨.
νλν°μ΄ λ± κΈ°μ κΈ°μ λ€μ AI λ° λ°μ΄ν° λΆμ κΈ°μ λ‘ μ ν΅μ μΈ μ»¨μ€ν μλΉμ€λ₯Ό λ체νλ©° λΉ λ₯΄κ² μ±μ₯ν¨.
AI 컨μ€ν μ€ννΈμ (μλΉμ AI λ±)μ 'λ§₯ν¨μ§ ν¬λ¬'λ₯Ό νλ°©νλ©° μ€κ²¬ κΈ°μ μ λμμΌλ‘ μλ‘μ΄ μμ₯μ μ°½μΆν¨.
π μ 리νλ©΄
μμ±ν AIλ λν 컨μ€ν μ κ³μ μλ‘μ΄ λ¨Ήκ±°λ¦¬μΈ λμμ κ°μ₯ ν° μνμΌλ‘ μμ©νκ³ μλ€. μ΄κΈ°μλ κΈ°μ λ€μ AI λμ μλ¬Έ μμ²μ΄ μλνλ©° μ‘μΌμΈμ΄, BCG, λ§₯ν¨μ§ λ± μ£Όμ κ²½μ 컨μ€ν΄νΈ νμ¬λ€μ΄ μ¬μ μ΅κ³ λ§€μΆμ κΈ°λ‘νλ νΈν©κΈ°λ₯Ό λ§μ΄νλ€. μ΄λ€μ λ΄λΆμ μΌλ‘λ '릴리', 'λ±μ€ν°'μ κ°μ AI μμ΄μ νΈλ₯Ό λμ νμ¬ μ§μλ€μ μ 무 ν¨μ¨μ 30% μ΄μ ν₯μν¨. κ·Έλ¬λ μ΄λ¬ν ν¨μ¨μ± μ¦λλ κ³§ μ£Όλμ΄ μ»¨μ€ν΄νΈμ μν λμ²΄λ‘ μ΄μ΄μ Έ λκ·λͺ¨ μΈλ ₯ κ°μΆμ μ΄λνμΌλ©°, κ³ κ°λ€μ AIλ₯Ό ν΅ν΄ μ체μ μΌλ‘ κ³ νμ§ λΆμμ λΉ λ₯΄κ² μνν μ μκ² λλ©΄μ κ³ λΉμ©μ μΈλΆ 컨μ€ν νμμ±μ μλ¬Έμ μ κΈ°νκΈ° μμν¨. μ΄ νμ ν AI 컨μ€ν μ€ννΈμ κ³Ό μλμ΄ μ€μ¬μ λΆν°ν¬κ° μλ‘μ΄ μμ₯μ μ°½μΆνκ³ μμΌλ©°, λμκ° OpenAIμ νλν°μ΄ κ°μ κΈ°μ κΈ°μ μ΄ 'AI as a Service' λͺ¨λΈλ‘ κ³ κ°μ¬μ μ§μ λ§μΆ€ν μ루μ μ ꡬμΆνλ©° μ ν΅μ μΈ μ»¨μ€ν μ κ³μ μ μ§λ₯Ό κ·Όλ³Έμ μΌλ‘ νλ€κ³ μλ€. κΈ°μ κ³Ό 컨μ€ν μ΄ μ΅ν©λλ μλμ κΈ°μ‘΄ κ²½μ 컨μ€ν΄νΈλ€μ΄ μ 곡ν΄μΌ ν 'μΈκ°λ§μ΄ μ€ μ μλ ν΅μ°°λ ₯'μ μ€μμ±μ΄ κ·Έ μ΄λ λλ³΄λ€ κ°μ‘°λκ³ μμ.
π·️ ν€μλ
#μμ±νAI #AIμμ΄μ νΈ #κ²½μ컨μ€ν΄νΈ #컨μ€ν μ κ³ #AIνΈλμ€ν¬λ©μ΄μ #λ§₯ν¨μ§ #BCG #μ‘μΌμΈμ΄ #AIaaS #μΌμ리μν
π¨μ£Όμ: μ΄ λΈλ‘κ·Έ μλ£λ μ μκΆμ μν΄ λ³΄νΈλ©λλ€. λΈλ‘κ·Έμμ λ€λ£¨λ λ΄μ©μ ν¬μ κΆμ λ₯Ό λͺ©μ μΌλ‘ νμ§ μμΌλ©°, νΉμ κΈμ΅ μνμ λ§€μ λλ λ§€λλ₯Ό κΆμ₯νμ§ μμ΅λλ€. ν¬μ κ²°μ μ μ μ μΌλ‘ λ³ΈμΈμ μ± μ νμ μ΄λ£¨μ΄μ ΈμΌ νλ©°, μ΄ λΈλ‘κ·Έμμ μ± μμ§μ§ μμ΅λλ€.