What is happening to strategy consultants
- Impact
AI tools are autonomously analyzing market dynamics, identifying disruptive opportunities, building complex strategic models, and streamlining administrative tasks. This compels Strategy Consultants to radically pivot towards high-level problem framing, transformative innovation, ethical oversight of AI-driven advice, and fostering irreplaceable human capital development.
- Risk
Radical role overhaul; pervasive automation leading to significant workflow redefinition and specialized human focus.
The Strategy Consultant role is undergoing a profound and accelerating redefinition by AI. AI will assume command of vast routine data collection, initial market analysis, and much of the administrative burden. Strategy Consultants must immediately pivot to becoming experts in leveraging AI for hyper-efficiency and enhanced strategic insights, intensely validating AI outputs for accuracy and fairness, and dedicating their expertise to the irreplaceable human elements of the role: profound problem framing, nuanced client relationship building, and critical ethical decision-making regarding complex organizational transformations and societal impact.
- Sector readiness
Rapid & Transformative Integration
The management consulting sector, particularly strategy firms, is aggressively integrating AI, driven by overwhelming client demand for efficiency, data-driven insights, and accelerated strategic solutions. AI is rapidly moving beyond pilot stages to widespread adoption for market analysis, strategy formulation, and prescriptive advice, fundamentally altering traditional workflows and value propositions.
Where you stand
The Strategy Consultant role is undergoing a profound and accelerating redefinition by AI, fundamentally restructuring market analysis, strategic formulation, and client advisory.
AI will autonomously manage vast data, optimize strategic scenarios, and streamline content, compelling Consultants to pivot to indispensable problem framing and profound client relationship building.
Survival and impact will hinge on Strategy Consultants mastering AI tools, critically validating AI outputs for ethics, championing ethical AI, and providing irreplaceable human judgment and leadership at the heart of complex organizational transformations.
What this means for you
Concrete changes to how the work gets done, in the order you are likely to meet them.
- 01
AI-Driven Autonomous Market & Competitive Intelligence. Strategy Consultants will command AI systems that autonomously scan vast global datasets (e.g., market reports, competitor filings, news, social media, economic indicators) to identify emerging trends, analyze competitive landscapes, and spot disruptive threats. This radically frees consultants from manual research, demanding focus on strategic interpretation and actionable insights.
- 02
AI-Powered Strategic Scenario Modeling. Strategy Consultants will leverage AI models that autonomously simulate countless future business scenarios, predict market shifts, and rigorously assess the impact of various strategic decisions (e.g., M&A, new product launches, geopolitical shifts) with unprecedented speed and complexity. This provides radical foresight for strategic planning.
- 03
Automated Industry & Sector Analysis. AI tools will autonomously collect, clean, and synthesize vast amounts of industry-specific data (e.g., value chain analysis, supply chain dynamics, regulatory changes) from disparate sources. This significantly reduces manual data wrangling, allowing consultants to focus on deep strategic synthesis and competitive positioning.
- 04
Generative AI for Strategic Deliverables & Client Pitches. AI will autonomously draft initial versions of executive summaries, strategic reports, detailed proposals, and client presentations. Strategy Consultants will rigorously refine these AI-generated documents for tone, accuracy, strategic messaging, and ensuring they reflect the client's unique context and the firm's intellectual property.
- 05
AI-Assisted Problem Formulation & Root Cause Analysis. AI tools are autonomously assisting Strategy Consultants in identifying and precisely defining complex business problems. By analyzing internal and external data, AI can pinpoint root causes of underperformance, market failures, or strategic misalignments with greater accuracy.
- 06
Focus on Nuanced Client Relationship & C-suite Influence. As AI assumes command of data-driven tasks, the paramount value of Strategy Consultants will be their irreplaceable human ability to build profound, trust-based relationships with senior client executives, navigate complex organizational politics, and inspire decisive action for strategic change.
- 07
AI-Driven Business Model Innovation. Strategy Consultants will utilize AI to autonomously identify opportunities for new business models, revenue streams, and disruptive strategies. AI can analyze market gaps, technological capabilities, and competitive advantages to suggest novel approaches to value creation.
- 08
Ethical AI in Strategic Advice & Algorithmic Accountability. Strategy Consultants will bear profound responsibility for auditing AI systems for algorithmic bias (e.g., in strategic recommendations, market predictions), ensuring client data privacy, and upholding the highest ethical standards for fair and equitable advice with societal impact.
- 09
Human-AI Teaming for Strategic Insights. Strategy Consultants will operate in seamless human-AI teams. AI will process vast data, generate insights, and automate routine tasks, while the human consultant leads strategic client engagement, manages nuanced human factors, and ensures the successful implementation of AI-driven strategies.
- 10
AI for Mergers & Acquisitions (M&A) Strategy. Strategy Consultants will leverage AI tools to rapidly identify potential acquisition targets, autonomously assess strategic fit and synergy opportunities, and analyze market impact. This radically accelerates M&A strategic planning and due diligence.
- 11
Continuous Learning & Deep Industry AI Literacy. The exponential pace of AI integration in consulting and across industries demands that Strategy Consultants commit to continuous, aggressive learning of new AI-powered tools, industry-specific technologies, and their profound capabilities and ethical implications.
- 12
Specialization in AI Strategy & Digital Transformation. The field will see a rise in Strategy Consultants specializing in advising clients on AI adoption strategies, designing AI-driven business models, and overseeing the implementation of complex AI solutions across various sectors and functions.
- 13
AI-Driven Organizational & Workforce Transformation. Strategy Consultants will utilize AI to autonomously analyze client workforce data, communication patterns, and skill gaps to design optimal organizational structures and develop aggressive talent transformation roadmaps.
- 14
AI for Competitor Disruption Analysis. AI tools will autonomously collect and analyze vast amounts of competitive intelligence data (e.g., product launches, pricing, market share, R&D investments), providing real-time benchmarking and insights into competitor disruption strategies for clients.
- 15
Strategic Problem Formulation & Persuasion. As AI streamlines analysis, the human skill of Strategy Consultants in precisely formulating a client's core problem, articulating the profound strategic value of AI-driven solutions, and compelling senior executives to adopt transformative change becomes paramount.
What is pushing this change
- 01
Explosive Growth of Global Business & Market Data. Vast amounts of data from global markets, economic indicators, competitor actions, and operational metrics provide rich input for AI models.
- 02
Revolutionary Advancements in AI/ML (Predictive, Generative, Prescriptive Analytics). Breakthroughs in AI fields enable sophisticated analysis, autonomous prediction, and intelligent recommendations for complex business challenges.
- 03
Urgent Demand for Hyper-Speed Strategic Insights. CEOs and boards require rapid, data-informed strategic insights to gain and maintain competitive advantage in dynamic markets.
- 04
Pervasive Digital Transformation Across Industries. AI is the central pillar of digital transformation, enabling interconnected and intelligent operations across client enterprises.
- 05
Intense Global Competition & Disruption. AI is used by competitors for strategic advantage, compelling clients to adopt AI for survival and growth, driving demand for consulting.
- 06
Relentless Pressure for ROI & Shareholder Value. AI automates research, optimizes processes, and predicts inefficiencies, driving aggressive cost reductions and higher ROI for clients.
- 07
Complexity of Global Business Models & Ecosystems. Managing intricate global operations, diverse supply chains, and complex customer journeys benefits from AI synthesis and optimization.
- 08
Client Expectations for Data-Driven & AI-Powered Solutions. Clients increasingly expect consulting firms to leverage AI for deeper insights and more effective, AI-powered solutions.
- 09
Shortage of Specialized Analytical Talent. The demand for strategy consultants who can bridge advanced analytics with business strategy often outstrips supply, increasing reliance on AI tools.
- 10
Ethical Scrutiny of AI & Business Practices. Growing concerns about algorithmic bias, fairness, and transparency extend to business practices and strategic recommendations.
Impact by sector
The headline figure is an average. Where you work changes the picture.
- Corporate Strategy Consultants
AI for deep market analysis, strategic scenario modeling, and competitive intelligence to define corporate direction. Focus on long-term value creation.
- Growth & Innovation Strategy Consultants
AI for identifying new market opportunities, disruptive business models, and optimizing R&D portfolios. Focus on driving radical innovation and growth.
- Digital Strategy Consultants
AI for enterprise AI strategy, cloud transformation roadmaps, and designing AI-driven business models for clients. Focus on technology as a strategic lever.
- M&A Strategy Consultants
AI for target identification, synergy analysis, and due diligence in mergers & acquisitions. Focus on value creation through strategic transactions.
- Organizational Strategy Consultants
AI for workforce analytics, talent transformation roadmaps, and optimizing organizational structures for clients. Focus on human capital as a strategic asset.
Skills to build
The skills that keep the human part of this work valuable as the routine part is automated.
- 01
Strategic Problem Formulation & Framing. The profound ability to identify and precisely define complex, ambiguous strategic challenges, setting the right direction for AI-driven solutions.
- 02
AI/Data Science Literacy (Strategy Focus). Profound understanding of AI capabilities in strategic analysis, data synthesis, and modeling, and the ability to interpret AI outputs for executive decision-making.
- 03
Client Relationship Management & Empathy. The irreplaceable human ability to build deep, trust-based relationships with senior client executives, navigate politics, and inspire buy-in for transformative strategic change.
- 04
Visionary Leadership & Persuasion. Expertly structuring compelling strategic narratives, delivering impactful presentations, and influencing executive decisions through data-driven recommendations and visionary thinking.
- 05
Ethical AI Governance & Responsibility. Upholding the highest ethical standards, ensuring client data privacy, and rigorously auditing AI strategic recommendations for fairness and unintended consequences, especially societal impact.
- 06
Data Analysis & Prescriptive Insights. Ability to autonomously analyze vast datasets, synthesize complex information, and generate prescriptive insights that drive radical strategic and operational improvements.
- 07
Change Management & Implementation. Leading client organizations through profound strategic transformations, managing resistance to change, and ensuring successful implementation of AI-driven strategies.
- 08
Industry & Disruptive Innovation Expertise. Deep knowledge of specific industries and their unique challenges, competitive dynamics, and potential for AI-driven disruption and innovation.
Tools in use
Kinds of tool worth knowing
- 01
AI-Powered Market & Competitive Intelligence Platforms. Platforms that autonomously analyze vast market data, industry reports, news, and competitor filings to provide real-time strategic intelligence.
- 02
AI-Driven Strategic Scenario Modeling Tools. Software that leverages AI to autonomously simulate complex business scenarios, predict market shifts, and assess the impact of strategic decisions.
- 03
Generative AI for Strategic Content & Pitches. Large Language Models (LLMs) used to autonomously draft initial versions of strategic reports, executive summaries, proposals, and client presentations.
- 04
AI for Business Model Innovation & Disruption Analysis. AI tools that autonomously identify opportunities for new business models, disruptive strategies, and innovative value creation based on market analysis.
- 05
AI for Workforce & Organizational Analytics. AI software that autonomously analyzes employee data for talent forecasting, skill gap identification, and organizational design optimization.
- 06
AI-Assisted M&A Strategy Platforms. AI-powered platforms that accelerate and enhance due diligence processes and target identification for mergers and acquisitions.
Named tools already in use
AlphaSense
VisitAI-driven market intelligence platforms that synthesize insights from unstructured text and data sources for strategic decision-making.
Anaplan
VisitLeading enterprise planning platform increasingly leveraging AI for advanced strategic modeling and scenario planning.
ChatGPT
VisitGenerative AI models that can autonomously draft various consulting documents, from strategic reports to client proposals and presentations.
TestFit (Illustrative of generative design concept for business)
VisitA generative design tool for architecture, whose principles are adaptable to business model design by autonomously exploring configurations.
Visier
VisitWorkforce planning and analytics platforms that leverage AI to provide insights into talent trends and organizational structure.
DealCloud
VisitPlatforms providing data and increasingly AI-driven insights for deal sourcing, due diligence, and relationship management in M&A.
In practice
Ways people in this role are already using AI, and what they get from it.
- Automate Market Entry AnalysisExample 1
- How
Strategy Consultants will oversee an AI-powered market intelligence platform. The AI will autonomously analyze vast global market reports, consumer data, and competitive landscapes. The AI will then identify optimal market entry strategies or new product launch opportunities, generating a strategic brief.
GainProvides hyper-accurate and rapid market foresight, enabling proactive strategic adjustments for clients and identifying new growth avenues.
- Simulate Strategic ScenariosExample 2
- How
Strategy Consultants will utilize an AI model that autonomously simulates the financial and operational impact of various strategic decisions (e.g., M&A, new product lines, market expansions). The AI will run thousands of scenarios, providing predictive insights for risk and ROI.
GainOffers unparalleled strategic foresight, quantifies risks and opportunities, and allows for data-backed decision-making in complex business transformations.
- Generate Presentation DraftsExample 3
- How
Strategy Consultants can instruct a generative AI tool to draft a new client presentation. By providing key findings, strategic recommendations, and desired visuals, the AI will autonomously generate slides, content, and speaking notes for the consultant's refinement.
GainSaves significant time on content creation, ensures consistent messaging, and allows consultants to focus on high-level strategic influence and client engagement.
- Discover Disruptive Business ModelsExample 4
- How
Strategy Consultants will leverage an AI platform that autonomously analyzes industry trends, technological advancements, and consumer behavior patterns. The AI will identify potential disruptive business models or new value propositions that could challenge existing market leaders, suggesting radical innovation paths.
GainIdentifies unprecedented opportunities for competitive advantage, enables proactive adaptation to market shifts, and supports radical business model innovation.
- Provide AI-Assisted Expert InterviewsExample 5
- How
Strategy Consultants can use an AI tool that autonomously sifts through transcripts of expert interviews or earnings calls. The AI identifies key insights, sentiment, and emerging trends relevant to a client's strategic challenge, providing a synthesized brief for the consultant.
GainAccelerates research by synthesizing expert opinions, identifies key industry trends, and informs strategic recommendations with diverse perspectives.
How this role compares
Three neighbouring roles chosen to show the direction of travel, then the roles either side of yours on the exposure scale.
- Junior Consultants (Routine research, data gathering) / Research Analysts (Basic industry data)More exposed
- AI impact
Catastrophic (AI can autonomously conduct vast market research; AI can handle data collection and basic synthesis.)
Work moves toImmediate need for radical re-skilling into AI oversight, data quality management for AI, or specialization in advanced problem framing.
- AI Strategy Consultants / Chief AI Officers (CAIOs) (Client-facing)Different skills, growing · exposure 60
- AI impact
Foundational (They design and build the AI-driven business models and capabilities that consultants advise on; immense demand.)
Work moves toDeep expertise in AI/ML strategy, business model innovation, and leading large-scale AI adoption across industries.
- Client Executives (Strategic client relationships) / Behavioral Scientists (Qualitative human insights)Complementary, less exposed
- AI impact
Low-Moderate Augmentation (AI assists in client data analysis for executives; AI helps with behavioral data for scientists), but core human relationship building, executive presence, and nuanced psychological insight remain paramount.
Work moves toBuilding long-term, high-trust client relationships (Client Executives); Deep qualitative understanding of human behavior and organizational dynamics (Behavioral Scientists).
- 602–5 yrs
Shop Assistants/Retail Sales Assistants
602–5 yrs- 602–5 yrs
Strategy Consultants · this report
602–5 yrs- 651–4 yrs
Business Intelligence Analysts
652–5 yrs- 652–5 yrs
Closing judgement
For Strategy Consultants, AI is not merely a tool but a radical force of transformation that will fundamentally redefine their value proposition. It will autonomously handle vast data analysis, accelerate strategy formulation, and streamline content, compelling consultants to pivot to indispensable problem framing, profound client relationships, and ethical oversight. The future Strategy Consultant will be a visionary orchestrator of human-AI collaboration, providing irreplaceable leadership at the heart of organizational transformation.
Evidence and revisions
What the exposure figure rests on, what changed when it was last revised, and the published work cited for this role.
60 (held)
Window2-5 years (unchanged)
The 4 October 2026 review held the score.
Microsoft's AI applicability score for the matching occupation is 0.35, in the top decile of 785 US occupations; Anthropic's observed exposure (the share of the occupation's tasks already being done with Claude) is 0.24, which is substantial by the standards of the 756 occupations measured; the US Bureau of Labor Statistics places it in the 'very high' AI-exposure tier; BLS projects employment to grow 10.1% over 2025–35. Taken together this is consistent with our previous figure of 60, which we have held.
US Bureau of Labor Statistics · Employment Projections 2025–35 and AI Exposure Categories
Official statistics · 27 August 2026AI-exposure tier: Very high. Projected employment change 2025–35: +10.1%. Matched to Management analysts.
Microsoft Research · Working with AI: Measuring the Applicability of Generative AI to Occupations
Working paper · 10 July 2025AI applicability score 0.35 (percentile 97 of 785 occupations) for SOC 13-1111.
Anthropic · Anthropic Economic Index report: Cadences
Report · 26 June 2026Observed exposure 0.24 for SOC 13-1111 (percentile 88 of 756 occupations).
UK Department for Science, Innovation and Technology · Assessment of AI capabilities and the impact on the UK labour market
Report · 28 January 2026UK context: around 70% of UK workers are in occupations with tasks AI could perform or enhance, above the US average; a one-standard-deviation rise in exposure was associated with a 3.9% fall in UK job postings.
Microsoft · 2026 Work Trend Index Annual Report: Agents, human agency and the opportunity for every organization
Report · 5 May 2026Microsoft's 2026 Work Trend Index documents the shift toward managing agents alongside people; leadership roles change in content more than in headcount.
Archived copies are served only where the licence permits; otherwise the link goes to the publisher. Full research library →
Readers' view
What people who do this work make of our reading: their own scores, their reasons, and the notes they left on each section.
Our report is one reading of the evidence. This section is the other dataset: what people who do or know this work make of it. Nobody has scored this role yet. Sign in to add yours.
—
—
60
No one has explained their score yet. A line or two about what you see in your own work is the most useful thing on this page.
No notes yet. Every section above has a “Readers' notes” line at the bottom; open one and say what you know.
Method and sources
Each report was written from a large body of published research and then, in October 2026, re-scored against occupation-level evidence: the US Bureau of Labor Statistics AI-exposure classification and 2025–35 projections, Microsoft Research’s AI applicability scores and Anthropic’s observed-exposure data, cross-checked against the reports listed in the Evidence section above. The organisations and publications below are the standing literature behind the narrative sections. Every source, with dates, licences and archived copies where we are permitted to hold them, is catalogued in the research library.
Scores are revised by blending the previous editorial figure (60%) with a composite of the three occupation-level measures (40%), capped at fifteen points per revision and rounded to the nearest five. The window shifts one notch when a score moves ten points or more. Hand adjustments are recorded with their reason in the revision log.
Research library: every source, with dates, licences and archived copies →
- World Economic Forum
- The Future of Jobs Report series — Employer survey of expected job growth and decline, skill shifts and technology adoption (2020, 2023 and 2025 editions); Artificial Intelligence and the Future of Entry-Level Work (2026).
- AI governance and transformation reports — Frameworks on ethical AI, talent strategy and industry transformation.
- McKinsey Global Institute
- AI, Automation and the Future of Work series — Research quantifying automation potential by task, sector and demographic, from "Jobs Lost, Jobs Gained" to "Agents, robots, and us" (2025).
- Industry-specific reports — Financial services, healthcare, manufacturing and others.
- PwC
- Global AI Jobs Barometer — Annual analysis of job postings and productivity by AI exposure (2024–2026 editions).
- Upskilling Hopes and Fears survey — Employee perceptions and readiness.
- Microsoft Research and Anthropic
- Working with AI (2025); Anthropic Economic Index (2025–2026) — Occupation-level usage data from Copilot and Claude conversations, the two observed-usage measures behind the 2026 revision.
- Stanford Digital Economy Lab and Stanford HAI
- Canaries in the Coal Mine? (2025–2026); AI Index Report (annual) — Payroll evidence on early-career employment in exposed occupations; annual measurement of AI capability, investment and adoption.
- Deloitte
- Human Capital Trends series — Workforce, talent and HR technology trends.
- Tech Trends series — Emerging technologies and their business implications.
- Accenture
- Technology Vision series — Forward-looking analysis of emerging technology, with emphasis on AI.
- Fjord Trends — Design, innovation and human experience in a digital world.
- Boston Consulting Group
- AI/ML insights and industry solutions — "The AI Revolution in the Workplace" and related research.
- EY
- AI and workforce reports — Adoption, talent strategy and ethics.
- IBM Institute for Business Value
- AI and automation studies — Business models, workforce evolution and leadership.
- OECD
- AI Policy Observatory — International data and policy on AI, labour markets and skills.
- Employment Outlook — Labour-market trends including technological impact (2023–2026 editions).
- International Labour Organization
- Generative AI and Jobs: A Refined Global Index of Occupational Exposure (2025) — Task-level exposure gradients for every ISCO occupation; successor to the 2023 global index.
- International Monetary Fund
- Staff Discussion Notes on AI and work (2024, 2026) — Complementarity framing: where AI augments and where it substitutes.
- UK Department for Science, Innovation and Technology
- Assessment of AI capabilities and the impact on the UK labour market (2026) — UK occupational exposure and job-posting evidence.
- Brookings Institution
- AI and automation research — Economic and social implications, displacement and skills.
- Yale Budget Lab and Goldman Sachs Research
- Tracking the Impact of AI on the Labor Market; AI and the US labour market (2026) — Aggregate labour-market monitoring; macro displacement estimates.
- Oxford University (Oxford Martin School)
- The Future of Employment — Frey & Osborne and subsequent research on susceptibility to automation.
- MIT Technology Review
- AI & Work — Reporting on AI research and its implications for industries and jobs.
- Gartner
- Hype Cycle for Artificial Intelligence — Maturity and adoption of AI technologies.
- Future of Work reports — Workplace models and talent strategy.
- U.S. Bureau of Labor Statistics
- Employment Projections 2025–35; AI Exposure Categories; Occupational Outlook Handbook — Ten-year employment projections and, from the 2025 cycle, an AI-exposure tier for every detailed occupation.
- Indeed Hiring Lab
- AI at Work Report (2025) and posting-market updates — Skill-level transformation estimates and job-posting trends by occupation.
- OpenAI
- Research papers, blog and API documentation — Large language models, generative AI, safety and societal impact.
- Google DeepMind
- Research papers and blog — Reinforcement learning, AI for science, AGI and ethics.
- Meta AI
- Research papers and blog — Large language models, computer vision, AI for social good.
- Hugging Face
- Transformers library and model hub — Open-source state-of-the-art NLP models.
- TensorFlow and PyTorch
- Documentation and community forums — Core frameworks illustrating practical capability.
- arXiv
- cs.AI, cs.LG, cs.CV, cs.CL — Pre-print research.
- NeurIPS and ICML
- Conference proceedings — Top-tier academic research.
- ACM and IEEE
- Journals and proceedings — ACM Computing Surveys; IEEE Transactions on AI.
- Kaggle
- Datasets and competition solutions — Applied machine learning on real-world problems.
- The Alan Turing Institute
- Research and reports — Responsible and applied AI.
- NIST
- AI Risk Management Framework — Voluntary framework for managing AI risk.
- European Commission
- AI Act — Risk-tiered legal framework for AI.
- Ethics Guidelines for Trustworthy AI — Principles for responsible development.
- Partnership on AI
- Research and best practice — Responsible AI development.
- AI Now Institute
- Annual reports — Social implications: power, inequality, rights.
- ACM FAccT
- Proceedings — Fairness, accountability and transparency.
- Data & Society
- Publications — Social implications of data-centric technology.
- WIPO
- Conversation on IP and AI — Intellectual-property implications of AI.
- IEEE Global Initiative on Ethics of A/IS
- Ethically Aligned Design — Recommendations for ethical AI design.
- Center for AI and Digital Policy
- Policy briefs — Accountable AI policy.