Key Insights
- AI Is moving into core delivery infrastructure. Consulting firms are no longer positioning AI as a standalone advisory topic. Leading firms are embedding agentic AI, workflow automation, and governed delivery systems directly into client work. Competitive advantage is increasingly tied to execution capability rather than strategy alone.
- The market continues to bifurcate. Large firms are scaling AI-enabled delivery through hyperscaler partnerships, proprietary platforms, and technology ecosystems. At the same time, specialist firms continue gaining share through deep expertise in areas such as cybersecurity, operational analytics, pricing, and value creation.
- Sector demand is resilient but uneven. Energy, healthcare, and public-sector modernization remain attractive growth areas. Consumer-facing sectors remain focused on productivity, margin protection, and operational efficiency. Across industries, spending remains concentrated on initiatives tied to measurable business outcomes.
- Talent demand remains selective. Compensation remains largely stable, but firms continue investing in AI, data, industry, and transformation talent. Hiring is recovering, though demand remains concentrated in specialized and implementation-oriented roles.
What Changed This Month (June 2026)
Demand for consulting remains resilient, but buyers are becoming more selective.
Organizations continue investing in AI, digital transformation, cybersecurity, and operational improvement, while scrutinizing discretionary spending and demanding clearer ROI. As a result, consulting work is increasingly shifting from strategy development toward implementation, execution, and measurable business outcomes.
The most significant industry trend remains the operationalization of AI. Clients are moving beyond pilots and proof-of-concepts toward enterprise deployment. In response, consulting firms are expanding partnerships with technology providers, embedding AI directly into delivery workflows, and building repeatable transformation platforms rather than relying solely on traditional advisory models.
Sector conditions remain uneven. Consumer and retail clients continue prioritizing margin improvement, pricing, and supply-chain efficiency. Energy and utilities are investing heavily in infrastructure modernization, grid reliability, and AI-enabled operations. Private equity activity remains below peak levels but continues to support demand for diligence, value creation, and operational transformation. Healthcare organizations are accelerating digital modernization to address workforce and profitability challenges, while public-sector agencies continue investing in cloud, cybersecurity, and AI-enabled service delivery.
Talent markets remain stable but increasingly specialized. Compensation has largely plateaued, while demand remains strongest for consultants with AI, data, industry, and transformation expertise. Firms continue redesigning delivery models around leaner teams and AI-enabled productivity.
Looking ahead, consulting leaders should focus on four themes: enterprise AI adoption, corporate technology spending, private-equity activity, and labor-market dynamics. Together, these factors will shape consulting demand through the second half of 2026.
We regularly speak with consulting leaders about compensation benchmarking, talent-market trends, competitive positioning, AI-enabled delivery, and broader industry developments. If you'd like to discuss trends affecting your firm or explore future benchmarking and research initiatives, schedule an Industry Intelligence Discussion.
The Demand Environment
The economic backdrop remains supportive but uneven. Business investment continues to benefit from AI-related spending, infrastructure programs, and digital modernization initiatives. At the same time, elevated interest rates, inflation concerns, and geopolitical uncertainty continue to weigh on discretionary spending.
For consulting firms, the implication is straightforward: clients remain willing to fund transformation, but only when business outcomes are clear. Demand remains strongest in AI implementation, cybersecurity, operational efficiency, infrastructure modernization, and revenue-growth initiatives.
Three themes will matter most over the next six months:
AI Investment Remains the Strongest Spending Category
Technology spending continues to concentrate around AI infrastructure, cloud modernization, and data platforms. This is creating sustained demand for implementation-focused consulting work.
Buyers Are Prioritizing Productivity
Organizations are increasingly funding projects tied directly to cost reduction, operational efficiency, workforce productivity, and measurable financial impact.
Capital Deployment Remains a Key Swing Factor
Interest-rate expectations, private-equity activity, and corporate confidence will continue influencing consulting demand across M&A, transformation, and large-scale investment programs.
Key Demand Areas
- AI implementation and operational AI
- Cybersecurity and cloud transformation
- Cost reduction and productivity improvement
- Infrastructure modernization
- Private-equity value creation
- Regulated-industry transformation
Where Clients are Spending
Consumer & Retail
Consumer demand remains stable but margin pressure persists. Retailers continue focusing on pricing, supply-chain efficiency, inventory optimization, and profitability improvement rather than large-scale transformation programs.
AI investment is increasingly concentrated in demand forecasting, pricing optimization, personalization, and supply-chain management. Consulting demand remains strongest where firms can deliver measurable operational or commercial outcomes.
Key Demand Areas
- Pricing and revenue growth management
- Supply-chain optimization
- AI-enabled merchandising and forecasting
- Customer analytics and personalization
- Cost reduction and operational improvement
Energy & Utilities
Energy and utilities remains one of consulting’s strongest verticals. Rising power demand, infrastructure modernization, data-center growth, and electrification trends continue driving investment across the sector.
Utilities are increasingly deploying AI-enabled analytics, predictive maintenance, and grid-management capabilities while investing heavily in transmission, distribution, and generation infrastructure.
Key Demand Areas
- Grid modernization
- Energy-transition strategy
- Infrastructure investment planning
- AI-enabled operations
- Regulatory and compliance transformation
PE & Deals
Deal activity remains below historic peaks, but sponsors remain active and focused on operational value creation. Consulting demand continues shifting from transaction support toward implementation-heavy transformation and EBITDA improvement initiatives.
AI is increasingly becoming part of the diligence and portfolio-management agenda as sponsors evaluate how emerging technologies affect growth, costs, and competitiveness.
Key Demand Areas
- Commercial due diligence
- Operational value creation
- Pricing and revenue growth
- AI and digital enablement
- Exit readiness and carve-outs
Healthcare
Healthcare organizations continue facing workforce shortages, margin pressure, and growing demand for digital modernization. Technology investment remains focused on productivity, operational efficiency, revenue-cycle optimization, and AI-enabled workflow redesign.
The sector remains early in enterprise AI adoption, creating substantial demand for implementation, governance, cybersecurity, and operational transformation support.
Key Demand Areas
- Revenue-cycle optimization
- Workforce productivity
- AI-enabled clinical operations
- Healthcare IT modernization
- Cybersecurity and compliance
Public Sector
Governments continue accelerating modernization efforts across cloud, cybersecurity, digital services, and AI. Increasingly, agencies are focused on redesigning operating models rather than simply digitizing legacy processes.
Consulting demand remains strongest where firms can help improve service delivery, modernize infrastructure, and implement scalable governance frameworks for AI and emerging technologies.
Key Demand Areas
- Government modernization
- AI governance
- Cybersecurity
- Cloud transformation
- Citizen-service delivery
The Talent Market
Compensation trends remain largely stable across the industry. Management Consulted salary data shows minimal movement in entry-level compensation during 2026, reflecting firms’ focus on productivity and utilization rather than broad-based salary increases.
Hiring activity is recovering, but demand remains concentrated in specialized capabilities. Firms continue prioritizing candidates with:
- AI and data expertise
- Industry specialization
- Transformation experience
- Cybersecurity and cloud capabilities
- Operational improvement backgrounds
The broader talent story is not contraction but selectivity. Consulting firms continue hiring, but increasingly favor consultants who can combine technical fluency, industry expertise, and implementation experience.
Talent Trends to Watch
- AI-driven productivity and team redesign
- Growth in specialist hiring
- Increasing demand for industry expertise
- Expanded graduate recruiting at select firms
- Continued investment in upskilling and AI training
| Role / Firm Type | Base Salary | Bonus (target) | Example |
| MBB (U.S., undergrad hire) | $110K-112K | 15-22% | $112K base + up to $22K bonus |
| Big 4 / Accenture (U.S.) | $85K-90K | ~10-15% | $85K base + $8-10K bonus |
| MBB (Europe, undergrad) | ~€50K / £52K | up to ~£5K | UK: £51K base + £5K bonus |
| Big 4 (Europe) | ~€45K | up to ~€4K | (varies by country) |
What Firm Leaders Should Be Doing Now
The consulting industry’s AI opportunity is becoming increasingly clear. The larger question is which firms will actually capture it.
The biggest misconception in the market is that AI will reduce demand for consulting services. Thus far, the opposite appears true. Clients continue increasing investment in AI, data, and transformation initiatives. The challenge is not demand, but delivery. Many firms are struggling to set realistic expectations around implementation timelines, organizational change, and the pace of ROI realization. As clients move from experimentation to enterprise deployment, expectation management may become as important as technical capability.
The firms best positioned for the next phase of the market are likely those that combine three assets: Sector expertise, implementation capability, and differentiated access to data. AI itself is increasingly becoming table stakes. The more durable advantage will come from proprietary data, domain expertise, and the talent required to operationalize AI inside complex organizations.
At the same time, consulting market fragmentation continues accelerating. Large firms benefit from brand strength, implementation scale, and expanding technology ecosystems. Specialist firms benefit from speed, focus, and deep expertise. The greatest pressure remains on firms in the middle - those without the scale advantages of global platforms or the differentiation of specialist boutiques.
For consulting leaders, the priority over the next 12 months should be clarity of positioning. Many firms have established a firm-wide value proposition but have not developed sufficiently differentiated value propositions at the practice level. As clients become more selective and outcome-oriented, firms that can clearly articulate why their Consumer practice differs from competitors - or why their Energy, Healthcare, or PE teams deliver unique value - will be better positioned to defend pricing, attract talent, and win growth opportunities.
Three implications stand out:
- AI demand is growing faster than many firms can deliver against, making talent, data, and implementation capability the critical competitive battlegrounds.
- Outcome-based pricing and downside protection are becoming increasingly important in competitive situations, particularly for implementation-heavy work.
- Market share is likely to continue shifting toward scaled operators and specialized experts, placing growing pressure on undifferentiated mid-market firms.
The firms that win the next phase of the consulting market are unlikely to be those talking most about AI. They will be the firms that most clearly connect expertise, execution, and measurable client outcomes.
How Firms are Positioning for Growth
IBM + Google Cloud
Launched a joint AI practice combining IBM Consulting Advantage with Google Gemini to accelerate enterprise AI deployment.
Why it matters: Reinforces the shift toward hyperscaler-led AI implementation ecosystems.
Deloitte + Google Cloud + Wiz
Expanded cybersecurity capabilities through AI-powered threat-defense offerings.
Why it matters: Demonstrates growing convergence between consulting, cloud infrastructure, and cybersecurity.
Deloitte + Ironclad
Integrated AI-powered contract lifecycle management into Deloitte’s legal and transformation offerings.
Why it matters: Highlights how firms are embedding AI into operational workflows beyond traditional technology functions.
Accenture + AlphaSense
Strategic investment and partnership focused on AI-enabled market-intelligence workflows.
Why it matters: Signals continued investment in agentic AI applications and knowledge-work automation.
Accenture + Carnegie Mellon SEI
Launched an AI Adoption Maturity Model.
Why it matters: Firms continue building frameworks that move clients from AI experimentation to enterprise deployment.
PwC + Anthropic
Expanded alliance to deploy Claude across client work and internal operations.
Why it matters: Reinforces AI’s transition from pilot programs to enterprise-scale operating infrastructure.
BCG + Anthropic
Committed $500 million toward AI-enabled social-impact initiatives through 2030.
Why it matters: Illustrates growing investment in long-term AI ecosystem development.
Signals to Watch
Enterprise AI Adoption: Are clients continuing to move from pilots to production deployments?
Technology Spending: Will AI infrastructure and cloud investment remain resilient through the second half of 2026?
PE Activity: Do improving financing conditions unlock higher deal volume and transformation spending?
Government Modernization: How quickly are agencies moving from experimentation to enterprise deployment?
Talent Markets: Will firms continue expanding graduate hiring while redesigning delivery around AI-enabled productivity?
About Management Consulted Research
Management Consulted tracks consulting-industry hiring, compensation, competitive dynamics, and sector-level demand through ongoing market analysis, benchmarking initiatives, recruiter conversations, and proprietary research.
Firms interested in discussing compensation benchmarking, talent-market trends, competitive intelligence, sponsorship opportunities, or broader consulting-industry developments can schedule a conversation with the MC research team.