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?



πŸ“Œ 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.


πŸ“– 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.


πŸ”₯ 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.


πŸ” 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.


🏷️ Keywords

#GenerativeAI #AIAgents #ManagementConsultant #ConsultingIndustry #AITransformation #McKinsey #BCG #Accenture #AIaaS #JobThreat




μƒμ„±ν˜• AI, 10λΆ„ λ§Œμ— μ»¨μ„€ν„΄νŠΈ μ—­ν•  λŒ€μ²΄! 경영 μ»¨μ„€ν„΄νŠΈ μΌμžλ¦¬λŠ” μ‚¬λΌμ§€λŠ” 걸까?


πŸ“Œ ν•œμ€„μš”μ•½

μƒμ„±ν˜• AI 기술의 κΈ‰λΆ€μƒμœΌλ‘œ ν•œλ•Œ ν˜Έν™©μ„ λˆ„λ Έλ˜ λŒ€ν˜• μ»¨μ„€νŒ… 업계가 μ΄μ œλŠ” κ³ κ°μ‚¬μ˜ AI μ—μ΄μ „νŠΈ 자체 ν™œμš©κ³Ό 기술 κΈ°μ—…μ˜ 직접 μ§„μΆœλ‘œ 인해 근본적인 사업 λͺ¨λΈ μœ„ν˜‘μ— 직면함.


πŸ“– μ™œ μ€‘μš”ν•œκ°€! (μ˜λ―Έμ™€ λ§₯락)

μƒμ„±ν˜• AIκ°€ λ“±μž₯ν•œ μ§€λ‚œ λͺ‡ λ…„κ°„, κΈ°μ—…λ“€μ˜ AI λ„μž…μ— λŒ€ν•œ 'FOMO(Fear of Missing Out)' ν˜„μƒμ— νž˜μž…μ–΄ λ§₯킨지, BCG λ“± λŒ€ν˜• μ»¨μ„€νŒ… νšŒμ‚¬λ“€μ΄ κ°€μž₯ λ§Žμ€ μˆ˜μ΅μ„ μ°½μΆœν–ˆλ‹€. 이듀은 AI νŠΈλžœμŠ€ν¬λ©”μ΄μ…˜(AIX)μ΄λΌλŠ” μƒˆλ‘œμš΄ ν˜Έν™©κΈ°λ₯Ό λ§žμ•„ AI μ „λž΅ 수립 및 μ‹œμŠ€ν…œ ꡬ좕 자문 업무λ₯Ό μŸμ•„λƒ„. μ‹€μ œλ‘œ μ•‘μ„ΌμΈ„μ–΄λŠ” 2025λ…„ AI κ΄€λ ¨ 계약 규λͺ¨κ°€ 59μ–΅ λ‹¬λŸ¬(μ•½ 8.45μ‘° 원)에 달할 κ²ƒμœΌλ‘œ μ˜ˆμƒν•˜λ©°, μƒμ„±ν˜• AI κ°œλ°œμ‚¬λ“€μ΄ λ§‰λŒ€ν•œ 개발 λΉ„μš©μ„ κ°λ‹Ήν•˜λŠ” λ™μ•ˆ μ»¨μ„€νŒ… 업계가 μž¬μ •μ  이득을 λ³΄λŠ” 역섀적 상황이 λ°œμƒν•¨. κ·ΈλŸ¬λ‚˜ 이제 AI μ—μ΄μ „νŠΈμ˜ λ”₯ λ¦¬μ„œμΉ˜ 및 λ³΄κ³ μ„œ μž‘μ„± λŠ₯λ ₯이 μ£Όλ‹ˆμ–΄ 경영 μ»¨μ„€ν„΄νŠΈμ˜ 역할을 λŒ€μ²΄ν•˜κΈ° μ‹œμž‘ν•˜λ©΄μ„œ, 고객듀은 κ³ λΉ„μš©/μž₯κΈ°κ°„μ˜ μ»¨μ„€νŒ… 고용 ν•„μš”μ„±μ— μ˜λ¬Έμ„ μ œκΈ°ν•˜κ³  μžˆλ‹€. μ΄λŠ” 전톡적인 μ»¨μ„€νŒ… μ—…κ³„μ˜ 수읡 ꡬ쑰λ₯Ό μœ„ν˜‘ν•˜κ³  μƒˆλ‘œμš΄ 경쟁 ν™˜κ²½μ„ μ‘°μ„±ν•˜λŠ” 근본적인 λ¬Έμ œμž„.


πŸ”₯ 핡심 포인트 (Key takeaways)

1️⃣ AI νŠΈλžœμŠ€ν¬λ©”μ΄μ…˜(AIX)을 ν†΅ν•œ μ»¨μ„€νŒ… κΈ°μ—…μ˜ 단기적 ν˜Έν™©

  • λ””μ§€ν„Έ νŠΈλžœμŠ€ν¬λ©”μ΄μ…˜ μ‹œλ“€ 이후 AIX 물결에 νž˜μž…μ–΄ μƒˆλ‘œμš΄ ν˜Έν™©κΈ° λ§žμ΄ν•¨.

  • μ΄μ‚¬νšŒ 및 μž„μ›μ§„ ꡐ윑, 고객 μ„œλΉ„μŠ€ 챗봇, μ—…λ¬΄μš© AI μ—μ΄μ „νŠΈ ꡬ좕 λ“± AI κ΄€λ ¨ 자문 μš”μ²­ 폭증.

  • BCGλŠ” 2024λ…„ 맀좜의 20%λ₯Ό AI κ΄€λ ¨ 자문 μ—…λ¬΄μ—μ„œ μ°½μΆœν–ˆμœΌλ©°, 2026λ…„μ—λŠ” 이 λΉ„μœ¨μ΄ 40%κΉŒμ§€ λŠ˜μ–΄λ‚  κ²ƒμœΌλ‘œ κΈ°λŒ€ν•¨.

2️⃣ λ‚΄λΆ€ 업무 효율 κ·ΉλŒ€ν™”λ₯Ό μœ„ν•œ μƒμ„±ν˜• AI 적극 λ„μž…

  • μ‹œκ°„μ΄ κ³§ 돈인 μ»¨μ„€νŒ… μ—…κ³„λŠ” μƒμ„±ν˜• AIλ₯Ό κ°€μž₯ λΉ λ₯΄κ²Œ 받아듀인 업계 쀑 ν•˜λ‚˜μž„.

  • λ§₯ν‚¨μ§€μ˜ '릴리': 사내 지식 μž¬μ‚° ν•™μŠ΅ μ±—λ΄‡μœΌλ‘œ 직원 75% 이상 μ‚¬μš©, 업무 μ‹œκ°„ 30% 단좕 평가함.

  • BCG의 'λ±μŠ€ν„°': 900개 μŠ¬λΌμ΄λ“œ ν…œν”Œλ¦Ώ 기반의 ν”„λ ˆμ  ν…Œμ΄μ…˜ μŠ¬λΌμ΄λ“œ νŽΈμ§‘κΈ° 개발.

  • λ”œλ‘œμ΄νŠΈμ˜ '쑰라 AI': 금육, λ§ˆμΌ€νŒ… λ“± νŠΉμ • 뢄야에 ν›ˆλ ¨λ°›μ•„ 인간 경영 μ»¨μ„€ν„΄νŠΈμ²˜λŸΌ μΆ”λ‘ ν•˜λ„λ‘ 섀계됨.

3️⃣ AI에 μ˜ν•œ μ—­ν•  λŒ€μ²΄μ™€ 인λ ₯ ꡬ쑰쑰정 λ°œμƒ

  • AI μ—μ΄μ „νŠΈμ˜ ν™œμš© μ¦κ°€λŠ” μ£Όλ‹ˆμ–΄ μ»¨μ„€ν„΄νŠΈ μ—­ν• μ˜ λŒ€μ²΄λ‘œ 이어짐.

  • λ§₯ν‚¨μ§€λŠ” 2023λ…„ λŒ€λΉ„ 2025λ…„ 직원을 μ•½ 10% 감좕함.

  • μ•‘μ„ΌμΈ„μ–΄λŠ” AI 기술 μž¬κ΅μœ‘μ— νˆ¬μžν•˜λŠ” λ™μ‹œμ— 기술 μŠ΅λ“μ΄ μ–΄λ €μšΈ κ²ƒμœΌλ‘œ μ˜ˆμƒλ˜λŠ” 인λ ₯을 λŒ€μƒμœΌλ‘œ λŒ€κ·œλͺ¨ ν•΄κ³ λ₯Ό 단행함.

4️⃣ 고객의 인식 변화와 μ»¨μ„€νŒ… λΉ„μš© ꡬ쑰의 μœ„ν˜‘

  • 고객듀은 AIλ₯Ό 잘 ν™œμš©ν•˜λ©΄ μ£Όλ‹ˆμ–΄ νŒ€ 뢄석과 μœ μ‚¬ν•œ ν’ˆμ§ˆμ˜ κ²°κ³Όλ₯Ό 10λΆ„ λ§Œμ— 자체적으둜 λ§Œλ“€ 수 μžˆμŒμ„ 인지함.

  • 수백만 λ‹¬λŸ¬λ₯Ό μ§€λΆˆν•˜λŠ” κ³ λΉ„μš©μ˜ λŒ€ν˜• μ»¨μ„€νŒ… νšŒμ‚¬ 고용 ν•„μš”μ„±μ— 근본적인 의문 제기.

  • 일뢀 κ³ κ°μ‚¬λŠ” AI μ—μ΄μ „νŠΈ ν™œμš©μœΌλ‘œ λ‹¨μΆ•λœ 업무 μ‹œκ°„λ§ŒνΌ μ»¨μ„€νŒ… 수수료 μ ˆκ°μ„ μš”κ΅¬ν•¨.

5️⃣ 기술 κΈ°μ—…μ˜ μ»¨μ„€νŒ… μ‹œμž₯ 직접 μ§„μΆœ 및 경쟁 격화

  • OpenAIλŠ” 2025λ…„ 7μ›”λΆ€ν„° λŒ€κΈ°μ—…κ³Ό μ •λΆ€ 기관을 λŒ€μƒμœΌλ‘œ λ§žμΆ€ν˜• AI λͺ¨λΈμ„ μ œκ³΅ν•˜λŠ” μ»¨μ„€νŒ… 사업에 본격적으둜 μ§„μΆœν•¨.

  • νŒ”λž€ν‹°μ–΄ λ“± 기술 기업듀은 AI 및 데이터 뢄석 기술둜 전톡적인 μ»¨μ„€νŒ… μ„œλΉ„μŠ€λ₯Ό λŒ€μ²΄ν•˜λ©° λΉ λ₯΄κ²Œ μ„±μž₯함.

  • AI μ»¨μ„€νŒ… μŠ€νƒ€νŠΈμ—…(μžλΉ„μ— AI λ“±)은 'λ§₯킨지 ν‚¬λŸ¬'λ₯Ό ν‘œλ°©ν•˜λ©° 쀑견 기업을 λŒ€μƒμœΌλ‘œ μƒˆλ‘œμš΄ μ‹œμž₯을 μ°½μΆœν•¨.


πŸ” μ •λ¦¬ν•˜λ©΄

μƒμ„±ν˜• AIλŠ” λŒ€ν˜• μ»¨μ„€νŒ… μ—…κ³„μ˜ μƒˆλ‘œμš΄ 먹거리인 λ™μ‹œμ— κ°€μž₯ 큰 μœ„ν˜‘μœΌλ‘œ μž‘μš©ν•˜κ³  μžˆλ‹€. μ΄ˆκΈ°μ—λŠ” κΈ°μ—…λ“€μ˜ AI λ„μž… 자문 μš”μ²­μ΄ μ‡„λ„ν•˜λ©° μ•‘μ„ΌμΈ„μ–΄, BCG, λ§₯킨지 λ“± μ£Όμš” 경영 μ»¨μ„€ν„΄νŠΈ νšŒμ‚¬λ“€μ΄ 사상 졜고 λ§€μΆœμ„ κΈ°λ‘ν•˜λŠ” ν˜Έν™©κΈ°λ₯Ό λ§žμ΄ν–ˆλ‹€. 이듀은 λ‚΄λΆ€μ μœΌλ‘œλ„ '릴리', 'λ±μŠ€ν„°'와 같은 AI μ—μ΄μ „νŠΈλ₯Ό λ„μž…ν•˜μ—¬ μ§μ›λ“€μ˜ 업무 νš¨μœ¨μ„ 30% 이상 ν–₯상함. κ·ΈλŸ¬λ‚˜ μ΄λŸ¬ν•œ νš¨μœ¨μ„± μ¦λŒ€λŠ” κ³§ μ£Όλ‹ˆμ–΄ μ»¨μ„€ν„΄νŠΈμ˜ μ—­ν•  λŒ€μ²΄λ‘œ 이어져 λŒ€κ·œλͺ¨ 인λ ₯ 감좕을 μ΄ˆλž˜ν–ˆμœΌλ©°, 고객듀은 AIλ₯Ό 톡해 자체적으둜 κ³ ν’ˆμ§ˆ 뢄석을 λΉ λ₯΄κ²Œ μˆ˜ν–‰ν•  수 있게 λ˜λ©΄μ„œ κ³ λΉ„μš©μ˜ μ™ΈλΆ€ μ»¨μ„€νŒ… ν•„μš”μ„±μ— μ˜λ¬Έμ„ μ œκΈ°ν•˜κΈ° μ‹œμž‘ν•¨. 이 ν‹ˆμ„ 타 AI μ»¨μ„€νŒ… μŠ€νƒ€νŠΈμ—…κ³Ό μ‹œλ‹ˆμ–΄ μ€‘μ‹¬μ˜ 뢀티크가 μƒˆλ‘œμš΄ μ‹œμž₯을 μ°½μΆœν•˜κ³  있으며, λ‚˜μ•„κ°€ OpenAI와 νŒ”λž€ν‹°μ–΄ 같은 기술 기업이 'AI as a Service' λͺ¨λΈλ‘œ 고객사에 직접 λ§žμΆ€ν˜• μ†”λ£¨μ…˜μ„ κ΅¬μΆ•ν•˜λ©° 전톡적인 μ»¨μ„€νŒ… μ—…κ³„μ˜ μž…μ§€λ₯Ό 근본적으둜 흔듀고 μžˆλ‹€. 기술과 μ»¨μ„€νŒ…μ΄ μœ΅ν•©λ˜λŠ” μ‹œλŒ€μ— κΈ°μ‘΄ 경영 μ»¨μ„€ν„΄νŠΈλ“€μ΄ μ œκ³΅ν•΄μ•Ό ν•  'μΈκ°„λ§Œμ΄ 쀄 수 μžˆλŠ” 톡찰λ ₯'의 μ€‘μš”μ„±μ΄ κ·Έ μ–΄λŠ λ•Œλ³΄λ‹€ κ°•μ‘°λ˜κ³  있음.


🏷️ ν‚€μ›Œλ“œ

#μƒμ„±ν˜•AI #AIμ—μ΄μ „νŠΈ #κ²½μ˜μ»¨μ„€ν„΄νŠΈ #μ»¨μ„€νŒ…μ—…κ³„ #AIνŠΈλžœμŠ€ν¬λ©”μ΄μ…˜ #λ§₯킨지 #BCG #μ•‘μ„ΌμΈ„μ–΄ #AIaaS #μΌμžλ¦¬μœ„ν˜‘


🚨주의: 이 λΈ”λ‘œκ·Έ μžλ£ŒλŠ” μ €μž‘κΆŒμ— μ˜ν•΄ λ³΄ν˜Έλ©λ‹ˆλ‹€. λΈ”λ‘œκ·Έμ—μ„œ λ‹€λ£¨λŠ” λ‚΄μš©μ€ 투자 ꢌ유λ₯Ό λͺ©μ μœΌλ‘œ ν•˜μ§€ μ•ŠμœΌλ©°, νŠΉμ • 금육 μƒν’ˆμ˜ 맀수 λ˜λŠ” 맀도λ₯Ό ꢌμž₯ν•˜μ§€ μ•ŠμŠ΅λ‹ˆλ‹€. 투자 결정은 μ „μ μœΌλ‘œ 본인의 μ±…μž„ ν•˜μ— 이루어져야 ν•˜λ©°, 이 λΈ”λ‘œκ·Έμ—μ„œ μ±…μž„μ§€μ§€ μ•ŠμŠ΅λ‹ˆλ‹€.