ENTITY: CGI Group Inc.

A Macro Intelligence Memo | June 2030 | Chief Executive Officer Edition

FROM: The 2030 Report Strategic Analysis Division DATE: June 2030 RE: Structural Business Model Disruption, Transformation Imperative, and Five-Year Strategic Repositioning

SUMMARY: THE BEAR CASE vs. THE BULL CASE

THE BEAR CASE (Cautious AI Adaptation, 2025-2030): CGI pursued incremental transition from staffing to consulting without fundamental business model transformation. By June 2030: - Revenue: CAD 11.6B (+0.9% CAGR from 2024) - Staffing revenue: CAD 4.2B (-12.5% YoY) - Consulting revenue: CAD 3.9B (+8% YoY, partial offset) - Operating margin: 11.2% (down from 13.5%) - Net income: CAD 1.1B (-3.2%) - EPS: CAD 3.82 - Stock price: CAD 68 (15.8x P/E) - Market cap: CAD 28.5B - Headcount: 91,000 (flat)

THE BULL CASE (Aggressive AI-Enabled Pivot, 2025-2030): In 2024-2025, CGI's leadership recognized the AI disruption and authorized: - $250M investment in AI consulting transformation (2025-2028) - Acquisition of AI consulting boutique ($180M, 2026) - Proprietary AI model for enterprise transformation (built in-house) - Aggressive internal reskilling (40% of staffing team → AI consulting roles)

By June 2030 (AI-Native Scenario): - Revenue: CAD 12.8B (+3.2% CAGR from 2024) - Staffing revenue: CAD 3.1B (faster, managed decline via AI tooling) - Consulting/AI revenue: CAD 5.8B (+49% vs. bear case) - Operating margin: 13.8% (restored due to consulting leverage) - Net income: CAD 1.35B (+22.7% vs. bear case) - EPS: CAD 4.70 (+23% vs. bear case) - Stock price: CAD 87 (+28% vs. bear case) - Market cap: CAD 36.4B - Competitive position: Top-3 AI transformation consultant globally

Key Divergence: Bear case = decline in traditional business; Bull case = early pivot to AI consulting creates new growth engine.

EXECUTIVE SUMMARY

CGI Group Inc., Canada's largest IT services provider with CAD $11.6B in annual revenue and 91,000 employees, faces an existential challenge: the legacy staffing-augmentation business model that generated consistent 8-12% annual growth for two decades is structurally declining while demand for AI transformation consulting exceeds CGI's current capability to address it. Between 2025 and June 2030, AI code generation matured from experimental to production-grade, reducing the addressable market for traditional developer augmentation services by an estimated 42-48%. Simultaneously, enterprise demand for AI transformation consulting created a TAM (total addressable market) approaching CAD $180-220B globally, but this market is far more competitive and episodic than CGI's traditional recurring staffing model. This memo addresses the fundamental strategic pivot required, financial implications, organizational restructuring, and communication strategy for senior leadership and stakeholders.

SECTION 1: THE TERMINAL DECLINE OF THE STAFFING AUGMENTATION MODEL

Historical Business Model Economics (2015-2024):

CGI's traditional revenue engine operated on a straightforward staffing arbitrage model: - Recruitment cost per developer (India operations): CAD $35,000-$50,000 annually - Recruitment cost per developer (Canadian operations): CAD $65,000-$90,000 annually - Client billing rate (onshore developers): CAD $175-$230 per hour (average CAD $200/hour, or CAD $420,000 annually per FTE) - Gross margin per developer: 35-45% - Scale model: Linear headcount growth = revenue growth

This model worked because: - Enterprise clients struggled to recruit locally in North America (talent scarcity premium) - Offshore resources provided significant cost arbitrage (50-60% labor cost reduction) - Software development required substantial human judgment; client relationships created switching costs - Regulatory complexity (especially in government and financial services) created barriers to disintermediation

Market Reality 2025-2030:

AI code generation capabilities fundamentally disrupted this model: - GPT-4 and specialized ML models demonstrated ability to generate 70-82% of routine production code (boilerplate, CRUD operations, standard patterns) - Remaining 18-30% requires senior engineering judgment, architectural decision-making, domain expertise - Ratio inversion: Traditional model was 85-90% junior/mid developer work, 10-15% senior architect work - Post-AI model: 70% AI code generation, 20% senior engineer review/optimization, 10% architecture/domain-specific work

Economic Impact Analysis:

Example engagement (typical client contract): - Historical (2023): Client requires team of 5 developers, billing CAD $1.0M annually - CGI cost: 5 developers × CAD $75,000 average = CAD $375,000 - Gross margin: CAD $625,000 (62.5%)

• Current (2030): Same project scope, AI-augmented model
• Requirement: 1 senior architect + 1 senior developer + AI tooling = CAD $280,000 (1 architect @ $150K + 1 senior dev @ $130K + tools $20K)
• Client saves 80% on labor costs
• CGI loses recurring revenue opportunity

Market Dynamics Quantified:

2030 Staffing Division Performance: - Total revenue: CAD $4.2B (36% of total) - 2024 revenue: CAD $4.8B (expected trajectory) - Year-over-year change: -12.5% - Billable headcount (staffing division): 48,000 (down from 52,000 in 2028) - Utilization rate: 71% (down from 84% in 2025) - Gross margin: 38% (down from 44% in 2025) - EBITDA contribution: 12% (down from 18% in 2025)

Five-Year Staffing Division Projection (Base Case): - 2030: CAD $4.2B revenue - 2031: CAD $3.7B revenue (-12%) - 2032: CAD $3.2B revenue (-13%) - 2033: CAD $2.8B revenue (-12%) - 2034: CAD $2.5B revenue (-11%) - By 2035: Stabilized at CAD $2.1-2.3B revenue (45% smaller than 2025 baseline)

The staffing augmentation market is not cyclical; it is terminal. No execution strategy reverses this decline.

SECTION 2: THE AI TRANSFORMATION CONSULTING OPPORTUNITY—SCALE CONSTRAINTS

Market Opportunity Assessment:

Global enterprise AI transformation consulting TAM: - Estimated global enterprise demand for AI transformation advice: CAD $180-220B over next 5 years (2030-2035) - CAD $36-44B annually - Addressable subset for CGI (based on client relationships, geography, industry vertical): CAD $6-10B potential over 5 years

CGI's Competitive Position in Consulting:

Consulting services currently contribute: - 2030 revenue: CAD $3.1B (27% of total) - EBITDA margin: 15% - Billable headcount: 9,200 consultants - Growth rate: 8% year-over-year (positive but not exceptional)

Competitive Landscape (Global Consulting Firms): 1. McKinsey & Company - AI consulting revenue 2030: estimated USD $12-15B - Positioning: Strategy-first, premium pricing (USD $400-600/hour equivalent or USD $500K+/week engagements) - Advantage: Executive access, strategy credibility, brand - Disadvantage: High cost, limited implementation capability

1. Boston Consulting Group
2. AI consulting revenue 2030: estimated USD $10-12B
3. Positioning: Blend of strategy and implementation
4. Advantage: Deep technical expertise, strong AI practice

5. Disadvantage: High cost, limited operational implementation

6. Accenture

7. AI consulting revenue 2030: estimated USD $14-16B
8. Positioning: Strategy + implementation + ongoing management
9. Advantage: Scale, operational capability, delivery track record

10. Disadvantage: Perceived as less innovative than boutique firms, execution complexity

11. Deloitte

12. AI consulting revenue 2030: estimated USD $11-13B
13. Positioning: Broad services + audit linkage
14. Advantage: Multidisciplinary, large base of existing client relationships

15. Disadvantage: Generalist, perceived as less specialized

16. CGI Position

17. Current AI consulting revenue: CAD $280-350M (estimated)
18. Positioning: Technology implementation + transformation
19. Advantage: Existing client relationships, government contracts, implementation capability
20. Disadvantage: Brand perception (service delivery, not strategy), limited C-suite access, regional footprint

Consulting Business Model Economics:

Typical AI transformation engagement: - Scope: 6-18 month assessment and implementation project - Team composition: 1-2 partner/managing consultants + 3-6 senior engineers/architects + 4-8 implementation resources - Client fee: CAD $200-400K per month (varies by scope, company size, complexity) - CGI effective bill rate: CAD $220/hour (including partner, architect, and engineer time blended) - CGI cost: CAD $85/hour average (including overhead) - Gross margin per engagement: 42-50%

Key constraint: Episodic vs. recurring revenue - Staffing: 5-7 year recurring relationships (client needs ongoing team scaling) - Consulting: 6-18 month episodic engagements (project-based, then complete)

This means: - To generate CAD $5B annual revenue from consulting (vs. CAD $3.1B in 2030), CGI would need 5-8x more active engagements - Sales cycles are longer (4-8 months vs. 1-2 months for staffing) - Customer acquisition cost is higher (5-8% of contract value vs. 2-3% for staffing) - Revenue predictability is lower (client may not have follow-on project, unlike staffing which is continuous)

SECTION 3: ORGANIZATIONAL RESTRUCTURING IMPERATIVE

Current State (June 2030):

CGI Total Workforce: 91,000 employees - Staffing division (developer augmentation): 48,000 billable + 18,000 supporting = 66,000 total - Consulting division: 9,200 billable + 6,800 supporting = 16,000 total - Managed services division: 5,200 billable + 3,800 supporting = 9,000 total

Target State (2035):

The business model shift requires significant right-sizing. For a CAD $12-14B consulting/government-focused business:

Required headcount by 2035: - Consulting & transformation: 8,000 billable + 5,000 supporting = 13,000 - Government/defense contracts: 7,500 billable + 3,500 supporting = 11,000 - Managed services: 4,200 billable + 2,800 supporting = 7,000 - Corporate/support functions: 4,000 - Total: 35,000 employees (62% reduction from current 91,000)

Headcount Reduction Implications:

Total separation: 56,000 employees - Voluntary separations (2030-2031): 8,000 - Managed transitions to consulting/government roles (2030-2033): 12,000 - Involuntary separations (2030-2035): 36,000

Estimated costs: - Average severance (1.5 months per year of service, average 8 years tenure): CAD $18,000 per employee - Retraining and transition programs: CAD $3,000 per employee in consulting track - Total separation/transition cost: 56,000 × CAD $18,000 = CAD $1.0B - Retraining cost (12,000 employees): CAD $36M - Total restructuring cost: CAD $1.04B (8.9% of 2030 revenue)

Timeline options: - Aggressive (3 years, 2030-2033): CAD $1.04B cost spread across 3 years; market disruption risk high - Moderate (5 years, 2030-2035): CAD $1.04B cost spread across 5 years; extended uncertainty

Recommendation: Moderate approach with aggressive Q3 2030 announcement. Signal complete transition by 2035, but execute in phases.

SECTION 4: SEGMENT PORTFOLIO STRATEGY

Government Contracts Division (35% of revenue, CAD $4.0B estimated) - Status: CORE / GROWTH - Characteristics: Long-term recurring contracts, high switching costs, 16-18% EBITDA margin - Strategy: Expand capacity, target new government accounts - Investment: CAD $150-200M over 3 years for new capabilities, hiring - 2035 revenue projection: CAD $4.8-5.2B (assuming 3-4% annual growth) - Rationale: Durable competitive moat; government mandate to modernize IT; recurring revenue model

Commercial Staffing Division (25% of revenue, CAD $2.9B estimated) - Status: HARVEST / DECLINE - Characteristics: Declining demand due to AI, mature market, commoditizing margins - Strategy: Minimize investment; manage decline gracefully; redirect capacity to higher-growth segments - Investment: Minimal; focus on profitability, not growth - 2035 revenue projection: CAD $1.5-1.8B (stabilized at lower level) - Rationale: Structural decline unstoppable; better to exit gradually than invest in doomed model

AI Transformation Consulting (currently 8% of revenue, CAD $900M estimated) - Status: GROWTH PRIORITY - Characteristics: High demand, competitive market, episodic revenue, higher CAC (customer acquisition cost) - Strategy: Aggressive investment in practice building; targeted hiring from competitors; marketing and thought leadership - Investment: CAD $200-300M over 3 years (hiring AI consultants, training, marketing) - 2035 revenue projection: CAD $3.5-4.5B (compound 28-32% annual growth) - Rationale: Largest growth opportunity; leverage existing client base; position against global consulting firms

Managed Services Division (15% of revenue, CAD $1.7B estimated) - Status: MAINTAIN / STABLE - Characteristics: Recurring revenue, moderate margins (14%), stable growth 3-5% - Strategy: Hold portfolio; invest in AI-augmented management capabilities - Investment: CAD $50-75M over 3 years - 2035 revenue projection: CAD $2.0-2.2B (steady state) - Rationale: Provides recurring revenue stability during transformation; opportunities to augment with AI

Other services (5% of revenue, CAD $600M) - Status: EVALUATE / OPTIMIZE - Strategy: Keep only accretive services; exit non-core - Investment: Minimal - 2035 revenue projection: CAD $400-500M

SECTION 5: FINANCIAL POLICY & INVESTOR COMMUNICATION

Near-Term Financial Reality (2030-2033):

CGI must reset investor expectations: - Organic growth: 0-2% (vs. historical 8-12%) - Revenue 2030: CAD $11.6B; 2035 projection: CAD $12.5-13.5B (annualized growth 1.5-2.5%) - Gross margin: Stable 35-37% (slight improvement as higher-margin consulting grows) - EBITDA margin: 12-13% (vs. historical 14-16%, compression due to restructuring costs and consulting mix) - EBITDA 2030: CAD $1.39B; 2035 projection: CAD $1.60-1.75B

Dividend Policy:

Current dividend: CAD $1.64 per share (3.1% yield at 2030 stock price) - Current annual dividend commitment: CAD $690M (6% of revenue) - Restructuring cost: CAD $1.04B (requires financing/dividend reduction) - Recommendation: Reduce dividend 25-30% in 2031 (to CAD $1.15-1.25 per share) - Payout ratio: Adjust from 50% of FCF to 35-40% of FCF - Rationale: Preserve cash for transformation investment; signal to market that growth model is changing

Capital Allocation (2030-2035):

Free cash flow projection: - 2030 FCF: CAD $1.25B - 2035 FCF: CAD $1.50-1.65B - Cumulative FCF 2030-2035: CAD $7.8B

Allocation priorities: 1. Restructuring costs: CAD $1.04B (2030-2035) 2. Debt reduction: CAD $1.5B (net debt reduction from current CAD $2.1B to CAD $0.6B by 2035) 3. AI consulting capability building: CAD $250M 4. Dividend: CAD $1.15-1.25/share (adjusted) 5. Share buyback: CAD $1.0-1.2B (opportunistic, if stock remains depressed)

SECTION 6: THE TRANSFORMATION ROADMAP (2030-2035)

Phase 1: Acknowledgment & Planning (Q3 2030 - Q1 2031)

Actions: - Q3 2030: Announce "Strategic Transformation Program" - Acknowledge staffing headwinds from AI automation - Highlight government contracts as strategic advantage - Announce CAD $200M+ investment in AI consulting practice - Commit to "improved profitability and operational efficiency" - Do NOT announce specific headcount numbers yet (too early for market)

• Q4 2030: Leadership alignment
• Meet with regional and segment leaders
• Identify high-potential employees for consulting/government tracks
• Develop transition plans for high-value staff

• Begin recruitment of external consultants from McKinsey, BCG, Accenture

• Q1 2031: Business case development

• Identify 3-5 marquee AI transformation clients for showcase engagements
• Land at least CAD $50-100M in AI consulting commitments
• Announce first major AI consulting win (press release, customer testimonial)

Phase 2: Structural Transformation (2031-2033)

Actions: - Q1 2031: Announce "Path to 75,000" initiative - Commit to 75,000 employees by end of 2032 (75,000 total, down from 91,000) - Offer voluntary separation programs (VSP) with enhanced severance - Announce internal retraining program (staffing → consulting) - Provide job placement support for separations

• 2031-2032: Execute transitions
• Process voluntary separations (target 8,000-12,000 employees)
• Invest in retraining program; reskill 8,000-10,000 staffing employees into consulting roles
• Hire external consultants (target 2,000-3,000 from competitors)

• Achieve 75,000 headcount by end of 2032

• Growth initiatives

• Invest in government contracts business (win 3-5 new large accounts)
• Build out AI consulting practice (establish centers of excellence in 3-4 major cities)
• Expand managed services AI augmentation capabilities

Phase 3: Stabilization (2033-2035)

Actions: - 2033-2034: Continue optimization to 50,000 headcount target - Process second wave of separations/transitions - Achieve desired segment mix: 35% government, 30% consulting, 20% managed services, 15% other

• 2034-2035: Re-establish growth narrative
• Achieve 5-7% organic growth in consulting and government segments
• Restore EBITDA margins to 14-15%
• Begin dividend restoration (target CAD $1.30-1.40/share by 2035)
• Position for post-transformation growth

SECTION 7: COMPETITIVE STRATEGY & DIFFERENTIATION

Competitive Positioning Challenge:

CGI faces a fundamental positioning problem: - In strategy consulting: Loses to McKinsey, BCG, Bain (brand, C-suite access) - In pure implementation: Loses to Accenture, Deloitte (scale, delivery maturity) - In software development: Losing to AI + small teams (cost structure)

Differentiation Strategy:

CGI's sustainable advantages: 1. Government relationships & marquee clients: 3,000+ long-standing client relationships; deep government expertise 2. Implementation track record: 30+ years delivering large complex transformations 3. Geographic footprint: Presence in Canada, US, EMEA, India (nearshore option) 4. Cost structure advantage: Lower cost delivery vs. US consulting firms (Canada + India delivery model)

Recommended positioning: - "Strategy-to-Scale Transformation Partner" - Position as the firm that does both strategy AND implementation (vs. consultants who hand off to others) - Target mid-market and enterprise clients where implementation capability is critical - Price 15-20% below McKinsey/BCG (on strategy); 10-15% above pure developers (on implementation) - Target engagements: CAD $1-5M per project (higher volume, lower unit price than traditional consulting)

Marketing & Thought Leadership Investment (2030-2035): - Budget: CAD $75-100M (vs. current CAD $15-20M) - Initiatives: - Establish "CGI AI Institute" (research + thought leadership + training) - Hire 2-3 recognized external advisors / board members from academia + industry - Publish quarterly "AI Transformation Report" based on customer data - Sponsor industry conferences, speaking engagements - Target: Establish CGI as "trusted AI transformation advisor for enterprise"

SECTION 8: COMMUNICATION STRATEGY

To Leadership Team (Q3 2030):

"The staffing augmentation business that has driven CGI's growth for 20 years is under structural pressure from AI. Rather than decline slowly, we are choosing to transform. We will become a consulting and government-focused company. This means:

• 40% of our current staffing team will need to transition, retrain, or separate
• Compensation and growth may be lower for 3-5 years
• But our company will be viable and growing by 2035

For those in government and consulting: Your future is bright. We're investing in you. For those in staffing: We'll help you transition through retraining, internal moves, or separation packages. For all of you: This is hard, but necessary. The alternative is slow decline."

To Board of Directors (Q3 2030):

"CGI is transitioning from a high-growth staffing model (10%+ annual growth) to a consulting and government model (5-7% annual growth). This requires significant organizational restructuring:

• Reduce headcount from 91,000 to 50,000 over 5 years
• Reallocate CAD $1.0B+ into restructuring and capability building
• Reduce dividend 25-30%
• Accept 3-5 years of margin compression and flat growth
• Target: By 2035, a CAD $12-14B revenue company with 14-15% EBITDA margin and CAD $1.5-1.8B free cash flow

This transformation is not comfortable, but it is necessary. The alternative is slow decline into irrelevance."

To Investors & Analysts (Earnings Call, Q3 2030):

"CGI is announcing a comprehensive strategic transformation. Our staffing business faces structural headwinds from AI. Rather than manage decline, we are investing to become a leading AI transformation consulting firm while leveraging our durable government business.

Near term (2030-2033): - Organic growth: 0-2% (vs. historical 8-12%) - EBITDA margins: 12-13% (vs. historical 14-16%) - Restructuring charges: CAD $300-400M annually - Dividend reduction: 25-30% to preserve cash

Long term (2033-2035): - Return to 5-7% organic growth - EBITDA margins: 14-15% - Free cash flow: CAD $1.5-1.8B annually - Dividend restoration

We're building a company for the next 20 years, not protecting the last 20. We expect the stock to remain under pressure during transformation but to outperform once we've completed the pivot."

To Employees (Town Hall, Q3 2030):

"AI is changing the IT services industry. The staffing business we've relied on is being disrupted. We need to adapt.

For government and consulting teams: Your future is strong. These are growth areas, and we're investing.

For staffing teams: We understand you're concerned. We're offering: - Retraining programs to move to consulting (paid training, career support) - Internal job opportunities in government/consulting/managed services - Generous severance if you choose to leave (2 weeks per year of service, plus benefits continuation) - Job placement support

This is a big change, but it's the right change. Our company will be stronger and more resilient in 2035 because of what we do today."

SECTION 9: RISK FACTORS & MITIGATION

Key Risks:

1. Talent Loss: Best consultants recruited away by McKinsey, BCG, startups

2. Mitigation: Competitive compensation, equity opportunities, leadership development, clear career paths

3. Execution Risk: Large restructurings often fail or take longer/cost more than expected

4. Mitigation: Hire restructuring experts, phase implementation, clear metrics, regular board updates

5. Market Response: Investors lose confidence during transformation; stock continues to decline

6. Mitigation: Transparent communication, clear milestones, demonstrate early wins in AI consulting

7. Competitor Response: McKinsey, Accenture aggressively defend market; price competition intensifies

8. Mitigation: Differentiate on implementation + cost; target mid-market segments

9. Government Contract Risk: Loss of major government contracts due to transition disruption

10. Mitigation: Separate government business from transformation chaos; dedicated leadership; no layoffs in government segment

THE DIVERGENCE: BEAR vs. BULL COMPARISON (2024-2030)

Key Divergences: 1. Business Model: Bear = managing decline; Bull = creating new growth business 2. Margin Profile: Bull case has 260bps higher operating margin (consulting leverage) 3. Revenue Growth: Bull case +3.2% CAGR vs. bear case +0.9% 4. Competitive Position: Bull case creates top-3 AI consulting position globally 5. Valuation: Bull case justifies 14.7x P/E vs. bear case 15.8x (better growth quality)

CLOSING ASSESSMENT

CGI's strategic situation is clear: the historical staffing model has entered terminal decline, and the company must transform into a consulting and government-focused organization. This transformation is painful—requiring 40-60% headcount reduction, 3-5 years of margin compression, and significant capital investment. But it is the only path to long-term viability.

The window to execute this transformation is open through 2033. After that, competitive positions will have calcified, and CGI will have lost the opportunity to establish itself as a leading AI transformation consulting firm.

The recommendation is to announce the transformation in Q3 2030, execute in phases through 2035, and emerge as a fundamentally different but more sustainable company. Success requires unflinching honesty about the scale of change required and unwavering commitment to execution despite investor and market skepticism during the 3-5 year transition period.

REFERENCES & DATA SOURCES

1. Bloomberg (Q2 2030): "CGI Q2 2030 Earnings: IT Services Digital Transformation"
2. McKinsey & Company (2030): "Consulting and IT Services in AI Era"
3. Reuters (2029): "CGI's Competitive Position in Digital Services"
4. Morgan Stanley Technology Services Research (June 2030): "Consulting Firm Valuations"
5. Gartner (2029): "Global Services Delivery and IT Consulting Market"
6. Goldman Sachs (2030): "IT Services Sector and Digital Transformation Spending"
7. Forrester Research (2030): "Digital Transformation Services Market Leaders"
8. Deloitte Consulting (2030): "Digital Transformation Market Trends"
9. IAOP (2030): "Outsourcing Services Provider Rankings and Performance"
10. Boston Consulting Group (2030): "Technology Services Industry Transformation"
11. IDC (2030): "IT Services Market Trends and Competitive Dynamics"
12. Global Services 50 (2030): "Top Services Providers and Market Positioning"