SECTOR OVERVIEW

Global IT Services — Digital Engineering & AI-Era Transformation

Focus: GLOB — Globant S.A.

2026-04-21

This report provides an overview of the global IT services and digital engineering sector through an AI-disruption lens. It covers market sizing across IT services ($1.5T), digital engineering ($280B), and IT consulting ($300B); the structural divide between legacy Indian IT, consulting majors, and pure-play digital engineering firms; the generative-AI productivity shock to time-and-materials economics; visa and cost-arbitrage dynamics; and Globant's positioning after the 2024-2025 de-rating that compressed pure-play digital multiples from ~35x EPS to 12-15x.

1. Market Size & Growth (TAM/SAM/SOM)

1.1 Global IT Services Market

The global IT services market reached approximately US$1,510 billion in 2025 (IDC, Gartner), growing at a normalized ~6% CAGR pre-2023 but decelerating to ~4% in 2024 and an estimated ~3-5% in 2025 as enterprise IT budgets compressed and generative-AI related project pauses took hold. The market spans four principal segments: (1) IT consulting & systems integration (~US$300B), (2) application outsourcing & managed services (~US$450B), (3) infrastructure & cloud services (~US$480B), and (4) digital engineering / product development (~US$280B). Globant operates principally in the digital engineering segment, which grew at a 14-16% CAGR from 2018-2022 before decelerating sharply in 2023-2025.

The defining story of the sector since 2H 2023 has been the combination of (a) post-pandemic digital transformation normalization, (b) enterprise IT budget tightening in a higher-rates environment, and (c) the generative-AI productivity shock. The first two are cyclical; the third is structural. Client enterprises are freezing or re-scoping engagements to assess how much of the historical services contract can be redelivered by AI tools at a fraction of the labor input, directly pressuring the billable-hours business model that underpins the entire services industry.

Source: IDC Worldwide IT Services Spending Guide, Gartner IT Services Forecast, HFS Research, Everest Group (2025 estimates).

1.2 Digital Engineering: The Pure-Play Segment

Digital engineering — defined as custom software product development, cloud-native engineering, UX/UI design, data & AI engineering, and platform modernization — is the segment where Globant, Endava, EPAM, Thoughtworks, Grid Dynamics, and a handful of publicly-traded pure-plays compete. This sub-segment is structurally more exposed to GenAI disruption than traditional IT services: the work is greenfield coding, UX design, and product engineering — precisely the tasks where GitHub Copilot, Cursor, Claude Code, Devin, and comparable tools have demonstrated 30-55% productivity improvements on benchmark tasks.

Pure-play digital engineering firms benefited from a secular revenue mix-shift tailwind through 2022 — growing 15-20% while legacy IT services grew 5-8% — but the AI productivity shock has inverted the dynamic. Clients are now asking vendors to pass through productivity gains via rate concessions or scope expansion, and enterprise budget approvers require explicit AI-leverage explanations before approving new T&M engagements. Growth in the segment decelerated from +18% in 2022 to +7% in 2025; several pure-plays reported outright revenue declines (Globant -4.7% YoY TTM, Thoughtworks -7%, Grid Dynamics +3%).

Source: IDC, Gartner, HFS Research, Everest Group, Forrester (2025).

1.3 TAM/SAM/SOM Framework for GLOB

2. Key Growth Drivers and Headwinds

2.1 Growth Drivers

• Enterprise AI transformation: Enterprise CIO surveys (Morgan Stanley, UBS, KeyBanc) show AI/GenAI as the #1 budget priority for 2026, with planned spend increases of 15-30%. The paradox is that within this spend, the share going to external services is unclear — hyperscalers (AWS, Azure, GCP) are capturing incremental AI infrastructure spend, while platform vendors (Microsoft Copilot, Salesforce Einstein, ServiceNow Now Assist) capture the AI-overlay spend. Pure-play digital engineering firms must position as AI-native implementation partners to avoid being disintermediated.
• Cloud modernization continues: Estimated 60-65% of enterprise workloads have migrated to cloud, but modernization of migrated workloads (re-architecting from lift-and-shift to cloud-native) represents a multi-year tailwind. Data platform modernization (Snowflake, Databricks, lakehouse architectures) drove services revenue growth of 20%+ through 2024, now normalizing to 10-12%.
• Sector verticalization: Financial services (core banking modernization), healthcare (clinical workflow digitization, HL7 FHIR integrations), and retail (unified commerce, personalization) remain structurally under-digitized. LatAm banking sector (GLOB's heritage vertical via Santander, Itaú, etc.) is 3-5 years behind US peers in digital transformation maturity, supporting local-market demand.
• Nearshore / LatAm talent arbitrage: US enterprises have increased nearshore engagement ratios from ~12% in 2020 to ~22% in 2025 (HFS Research) driven by timezone overlap, English proficiency, and post-pandemic distributed-work normalization. Argentina, Colombia, Mexico, and Costa Rica are the primary beneficiaries — GLOB has ~55% of headcount in LatAm.
• Product engineering over project services: Higher-margin product engineering engagements (where the vendor co-owns roadmap and outcomes) grew 18% in 2024 vs. 4% for traditional staff-augmentation. Globant's Studios model is structured around this higher-margin category.
• GenAI as defensive lever: Firms with credible AI-native offerings (Globant's GEAI, EPAM's InfoNgen, Accenture's GenWizard) are capturing consolidation demand as enterprises reduce vendor counts. Vendor rationalization cycles typically favor top-3 partners per enterprise.

2.2 Headwinds

• Generative-AI productivity shock: Benchmark studies (Microsoft/GitHub, Morgan Stanley, McKinsey) show 30-55% productivity gains for common coding tasks when using AI coding assistants, with larger gains for junior/mid-level engineers. If passed through to clients, this compresses services revenue by 15-25% for equivalent scope. Most vendors have not yet negotiated AI-adjusted rate cards — clients increasingly demand it at renewal.
• Budget compression + pricing power loss: Enterprise IT budget growth decelerated from +8% in 2022 to +3-4% in 2024-2025 (Gartner CIO Survey). Net revenue retention (NRR) across pure-play digital engineering firms fell from ~115% in 2022 to ~95-100% in 2025 — the first structural NRR deterioration since the segment's emergence. Pricing pressure from clients seeking AI-related rate concessions runs at 5-10% per renewal.
• Utilization deterioration: Bench time expanded across all major Indian IT and pure-play digital vendors in 2024-2025. GLOB's utilization fell from ~78% peak (2022) to ~72% (Q4 2025). TCS, Infosys, Wipro report similar trends. Bench expansion + wage inflation + price pressure is a three-way margin squeeze.
• Visa and immigration friction (US): H-1B lottery win rates fell to ~14% in 2025, and 2024-2025 political rhetoric around offshore/nearshore services has created uncertainty. While LatAm-heavy firms (GLOB) are less exposed than Indian IT, US-based anchor partners and client-site consultants face visa friction. Potential H-1B fee increases and select-country restrictions are tail risks.
• Sector consolidation / M&A as competitive weapon: Accenture's M&A program (25+ deals/yr), Capgemini's CapGemini Invent push, Cognizant's Belcan acquisition, and PE-backed rollups (Hexaware, Virtusa, Publicis Sapient) are consolidating mid-market accounts. Mid-sized pure-plays (~US$1-3B revenue) are most exposed to being squeezed between consolidators and AI-native boutiques.
• Crypto / Web3 / metaverse hangover: Services firms that bet on Web3 (GLOB acquired Gut, Atix Labs, had a 'Metaverse Studio') face revenue drag as clients canceled projects 2023-2024. Exposure is now low (<3% of revenue) but residual.
• Argentina macro risk (GLOB-specific): Globant's Argentine operations face peso volatility, capital controls, and rising labor costs (dollarization of salaries in informal arrangements). Milei administration reforms have reduced near-term risk but volatility remains elevated.

3. Competitive Landscape

3.1 Four-Tier Competitive Structure

The IT services sector has four distinct tiers with different economics and AI-exposure profiles. Tier 1: Consulting & Systems Integration Majors (Accenture, Deloitte, Capgemini, IBM Consulting) — scale, C-suite relationships, and AI-powered platforms; Tier 2: Indian IT Majors (TCS, Infosys, Wipro, HCL, Tech Mahindra) — cost-arbitrage scale, maturing digital offerings; Tier 3: Pure-Play Digital Engineering (EPAM, Globant, Endava, Thoughtworks, Grid Dynamics, Persistent Systems) — premium product-engineering positioning, nearshore/near-client delivery; Tier 4: AI-Native Boutiques & Hyperscaler Pro Services (Scale AI, Anthropic Professional Services, AWS ProServe, Azure/Microsoft Industry Solutions) — emerging but well-capitalized. Globant sits in Tier 3 and competes primarily with EPAM, Endava, and Thoughtworks on digital product engineering engagements, with Accenture and Capgemini on large-enterprise transformation programs.

Source: Company filings, FactSet consensus, Bloomberg (Apr 2026). Margins based on EBIT/Operating Margin GAAP.

3.2 Pure-Play Digital Engineering Cohort — Performance Since AI Shock (Nov 2022 = 100)

The pure-play digital engineering cohort has been the worst-performing IT services sub-segment since the emergence of GenAI (ChatGPT launch Nov 2022). While the S&P IT Services index declined ~15% peak-to-trough, pure-plays experienced drawdowns of 65-80%, reflecting (a) higher revenue concentration in greenfield engineering work most exposed to AI productivity gains, (b) higher revenue growth exposure in valuation multiples (higher growth firms de-rated more), (c) lower pricing power vs. consulting majors with C-suite relationships.

Source: Bloomberg, company filings (Apr 2026). Prices as of 2026-04-20. Drawdown measured vs. all-time high.

3.3 Broader IT Services Comp Set

Beyond the pure-play digital cohort, Globant competes for capital with the broader IT services complex. The consulting majors (Accenture, Capgemini, IBM Consulting) trade at 13-18x NTM EPS reflecting scale, pricing power, and diversified revenue. Indian IT majors trade at 20-28x NTM EPS reflecting capital efficiency (ROE 25-40%) and dividend yields. Pure-plays trade at 12-20x NTM EPS — the compression from 30-40x in 2021 reflects the market's view on GenAI-era growth durability.

Source: Bloomberg, FactSet consensus, company filings (Apr 2026).

4. Regulatory & Policy Environment

4.1 US Immigration & Visa Policy

• H-1B Visa Framework: The US H-1B cap remains at 85,000/yr (65K regular + 20K advanced degree). For FY2025, USCIS received 479,953 eligible registrations — a ~17.7% lottery win rate, roughly half the 2022 peak win rate. Indian IT majors (TCS, Infosys, HCL) historically filed 30-50% of petitions and are most exposed. LatAm-heavy firms (GLOB) are less dependent on H-1B but do use it for US client-site consultants.
• Trump Administration (2025-2029) Signals: The administration has signaled stricter H-1B adjudication, emphasis on 'Buy American, Hire American,' and potential fee increases. A proposed $10K supplemental H-1B fee (floated Q4 2025) would disproportionately impact Indian IT. Implementation risk is high but timing uncertain.
• Nearshore Tailwind: Policy friction on H-1B + offshore has accelerated nearshore adoption. Argentina, Mexico, Colombia, Costa Rica, Brazil benefit. LatAm-heavy footprints (GLOB 55%, Endava LATAM ~15%) are relative beneficiaries vs. 80%+ India-exposed peers.

4.2 Data Protection & AI Governance

• EU AI Act (2024 adoption, phased 2025-2027): Risk-tiered obligations with heaviest compliance burden on 'high-risk' systems (employment, credit, critical infrastructure). Client engagements now require explicit AI model documentation, data lineage, and bias-audit artifacts. Adds scope (billable hours) but requires investment in compliance tooling.
• US Sectoral AI Regulation: CFPB (financial services), HHS/FDA (healthcare AI), SEC (AI-related disclosures Aug 2024) create vertical-specific compliance requirements. No federal omnibus AI law anticipated 2026-2027.
• Data Residency & Cross-Border Flow: Brazil LGPD, Argentina personal data law reform, Mexico LFPDPPP enforcement have increased data-residency requirements for LatAm engagements. Chilean and Colombian regimes similar. Delivery models must account for in-country processing constraints for regulated industries.
• GDPR Enforcement: Continuing; meaningful for EU-client engagements. Major services firms now have embedded DPO (Data Protection Officer) support as part of engagement scoping.

4.3 Argentina Macro & Labor Environment

• Milei Administration Reforms (Dec 2023-): Dollarization debate paused, peso devaluation and gradualist approach adopted. Labor reform (fewer severance protections, modernized collective bargaining) reduced HR friction for outsourcing firms. FX controls eased but not eliminated; capital repatriation still requires navigation.
• Labor Cost Dynamics: Argentine engineer salaries have been rising 20-30% in USD terms post-devaluation normalization (2024-2025) as local talent demands dollar-pegged compensation. Cost arbitrage vs. US narrowing but remains material (LatAm engineer blended rate ~US$50-80/hr vs. US onshore US$120-180/hr).
• Software Promotion Law (Ley de Economía del Conocimiento): Provides tax incentives for software export. Benefits companies like Globant that export services (reduced export tax, income tax credits for R&D). Law was renewed 2024 through 2029.

4.4 Tariffs, Trade, and Services Exports

• 2025 US Tariff Environment: Trade tensions have targeted goods more than services, but India-US trade friction periodically surfaces. Services exports have been largely spared; no material tariff impact on IT services export revenue as of Apr 2026.
• Nearshore advantage: LatAm-USA services trade operates under USMCA/bilateral treaties with minimal friction. Canada-US IT services trade similarly protected.

5. Sector KPIs and Benchmarks

5.1 Operating KPIs

Source: Company filings, Bloomberg, FactSet (Apr 2026). Metrics calendarized where relevant.

5.2 Valuation Benchmarks

GLOB has de-rated from ~35x NTM P/E (Nov 2021) to 13x currently — the lowest valuation since its 2014 IPO. FCF yield of 13% reflects deep value pricing, offset by growth concerns. Re-rating requires stabilization of revenue growth and evidence that AI-native pivot offsets productivity headwinds.

6. Disruptive Threat Assessment

Per coverage policy, disruptive technologies and competitors are evaluated for current scale, S-curve trajectory, trigger events, and GLOB's positioning. No threat is dismissed without explicit justification. The IT services industry faces an unprecedented disruption vector in generative AI — this section treats it rigorously rather than hand-waving.

6.1 Generative AI coding assistants (Copilot, Cursor, Claude Code, Devin, Replit Agent)

• Current scale: GitHub Copilot has ~1.8M paid enterprise seats (Oct 2025), Cursor ~400K, Anthropic Claude Code growing rapidly post-2025 GA, Cognition Labs Devin in early enterprise deployment. Replit Agent, Cursor Composer, Claude Code are shifting from 'pair programmer' to 'autonomous agent' paradigm. Collectively, AI coding tools are now a ~US$4-5B ARR industry and growing >80% YoY.
• S-curve trajectory: Benchmarks (SWE-Bench, HumanEval, proprietary enterprise studies) show rapid capability gains. 30-40% of pull requests at leading tech firms are now AI-drafted (Microsoft, Google internal data). For greenfield engineering work — GLOB's core — productivity gains of 30-55% are documented. The trajectory suggests another 2-3x productivity improvement is achievable by 2027-2028 as agents become more autonomous. This is structural, not cyclical.
• Why it's a material threat: The entire services industry's revenue model is billable hours (T&M contracts still ~65% of GLOB revenue). A 40% productivity improvement passed through to clients would reduce services revenue by 28% at flat scope. Even if vendors capture half the productivity gain (20%) the revenue pressure is severe. Services firms must move to outcome-based pricing, higher-value managed services, or AI-product co-development to offset.
• Trigger events: (1) Industry-wide AI-adjusted rate card establishment (watch Accenture's master services agreements, 2026-2027); (2) First outcome-based GLP-1-scale contract win (e.g., GLOB delivers a US$50M+ outcome-based engagement with verified margin profile); (3) Enterprise-verified 50%+ productivity gain at program scale; (4) First clear revenue inflection in a pure-play firm that successfully monetized AI leverage.
• GLOB positioning: Building. Globant Enterprise AI (GEAI) launched Nov 2023, claims 17%+ of 2025 revenue is AI-related (vs. 6% in 2024). AI Studio growing 25%+ in a -5% total-revenue environment suggests real mix shift. However, AI-related revenue is low-margin and scale-limited — the open question is whether AI-native services revenue can ramp faster than traditional services revenue compresses. CEO Migoya has been explicit that GLOB's 3-year AI transition is underway (2025-2028).

6.2 AI-native autonomous agents (Devin, Replit Agent, Cognition Labs, Factory AI)

• Current scale: Small. Devin (Cognition Labs, ~US$200M ARR Q4 2025) targets agentic software engineering. Replit Agent serves SMB. Factory AI (Series A 2024) targets enterprise dev automation. Combined AI-agent tooling ARR <US$500M 2025.
• S-curve trajectory: Agents that can own multi-week engineering projects end-to-end are at demo-level today and production-level for narrow tasks. Plausibly enterprise-production for meaningful scope by 2027. If achieved, the bottom 40-60% of engineering work (implementation, testing, maintenance) could shift from human-augmented to agent-delivered with human oversight.
• Why it's a material threat: This is the existential tail risk. If agents can deliver outcomes with 10% of the human hours, the services industry revenue pool shrinks commensurately (not just for GLOB — for the entire industry). The offset is new services demand from (a) agent integration, (b) data/context engineering to make agents productive, (c) process redesign, (d) governance / observability of agent-delivered work.
• Trigger events: (1) First publicly-disclosed enterprise program where >50% of engineering hours are agent-delivered with independently-verified quality; (2) Agent-output acceptance rate >80% without human review (currently ~40-60% for narrow tasks); (3) Meaningful agent-productized revenue >US$1B ARR at any single vendor (Anthropic, OpenAI, Cognition); (4) Evidence of enterprise willingness to adopt agent-delivered code without full human review.
• GLOB positioning: Moderate. GLOB's GEAI platform includes agent-orchestration capabilities and the firm has partnerships with Anthropic, OpenAI, and Google. The question is whether GLOB becomes a sell-side agent-integration specialist (favorable) or is displaced by vendors selling agents directly to enterprises (unfavorable). Clarity likely emerges 2026-2027.

6.3 Hyperscaler professional services (AWS ProServe, Azure / Microsoft Industry Solutions, GCP Professional Services)

• Current scale: AWS ProServe ~US$4B (estimated), Azure consulting ~US$3B, GCP ~US$2B. Combined hyperscaler services ~US$10B and growing 20%+.
• S-curve trajectory: Hyperscalers have moved from pure platform sell to full solution/implementation sell. AWS, Azure now regularly win multi-billion-dollar implementation contracts alongside platform commitments. Microsoft's Industry Solutions group is explicitly competing for traditional SI wallet share.
• Why it's a material threat: Hyperscalers have (a) proprietary platform access and incentive to steer migrations to their cloud, (b) deep AI platform tooling (Bedrock, Azure AI, Vertex), (c) economic subsidization capacity (services at minimal margin to drive platform consumption). Mid-market pure-plays lose preferred-partner status on large engagements.
• Trigger events: (1) Hyperscaler services revenue crossing 5% of total hyperscaler revenue (currently ~1-2%); (2) Public customer announcements where hyperscaler replaces pure-play services partner on major account; (3) Hyperscaler M&A of a mid-cap services firm (creating full-stack platform+services entity).
• GLOB positioning: Moderate risk. GLOB has tight partnerships with all three hyperscalers (AWS Premier, Azure Gold, GCP Premier) and has historically benefited from hyperscaler referral flow. As hyperscalers move from referring to direct-delivery, GLOB's partnership value may erode. Studios' vertical-specific IP (e.g., Globant Media Studios, Banks Studios) provides some defense.

6.4 AI-native boutiques and vertical AI startups (Numeric, Harvey, Hebbia, Glean)

• Current scale: Small individually (most <US$200M ARR), aggregate estimated US$3-5B. Rapidly venture-funded (Harvey US$300M Series D, Hebbia US$130M Series B).
• S-curve trajectory: These firms are vertical AI product companies, not services firms, but they absorb services spend by reducing the need for custom implementation. Examples: Harvey (legal AI) displaces legal-tech implementation work; Numeric (finance AI) absorbs FinOps implementation; Glean (enterprise search) reduces knowledge management implementation work.
• Why it's a material threat: Software is absorbing services (the 'shift left' pattern). When a vertical AI product achieves 80% of the value of a custom build at 20% of the cost, services firms lose both the implementation revenue and the follow-on managed services revenue.
• Trigger events: (1) Vertical AI products reaching US$1B+ ARR in any vertical (watching Harvey, Glean); (2) Enterprise consolidation of vendor portfolio reducing SI partner count; (3) Services firms' vertical IP (GLOB Studios) being outpaced by venture-funded vertical AI products.
• GLOB positioning: Mixed. Globant Studios (Media, Banks, Retail, Telecom, Healthcare) give GLOB vertical IP that competes with these boutiques. However, GLOB's vertical IP is services-embedded, not productized SaaS — a structurally weaker position. Potential response: spin out verticals as stand-alone product companies (as GLOB did with AI platform GEAI).

6.5 Indian IT major digital acceleration (TCS, Infosys digital push)

• Current scale: TCS digital revenue >US$13B (40% of revenue), Infosys digital >US$9B (45% of revenue). Both growing 12-15% in digital despite overall company growth of 4-6%.
• S-curve trajectory: Indian IT has moved steadily upmarket. Fifteen years ago they were pure staff-aug; today they compete credibly for digital transformation deals against pure-plays, at 30-40% lower blended rates. TCS BANCS, Infosys Finacle, and Infosys Topaz are scaled digital platforms.
• Why it's a material threat: Indian IT majors have (a) scale advantages in recruiting and training, (b) cost structure that allows aggressive pricing, (c) entrenched C-suite relationships at Fortune 500. Pure-plays must sustain a 20-30% premium for their services to justify their niche — a premium increasingly challenged.
• Trigger events: (1) Indian IT major publishing EBIT margin expansion above 25% while matching pure-play digital capability claims; (2) Indian IT major winning a flagship GLP-1-caliber digital deal in a vertical previously owned by pure-plays; (3) US enterprise shift away from boutique to large-scale Indian IT for digital programs.
• GLOB positioning: Structural vulnerability. GLOB is 15% the size of TCS and doesn't have Indian IT's cost structure. GLOB's defense is nearshore timezone advantage, LatAm design thinking / UX heritage, Studios model premium, and faster decision-making. These defenses work against Indian IT competing head-on but erode as Indian IT improves.

6.6 Overall Disruption Conclusion

The most material disruptive threat to the IT services industry and to Globant specifically is the combination of (a) generative AI coding productivity and (b) AI-agent autonomy. These are not cyclical headwinds; they structurally reduce the hours required to deliver equivalent services scope. The services industry's response must be to reprice to outcomes (not hours), move up the value chain (strategy and product, not implementation), or productize IP.

Hyperscaler services, vertical AI boutiques, and Indian IT's digital push are all material but addressable threats — each has countering factors (GLOB's vertical IP, nearshore delivery, partnership depth). The existential question is whether GLOB's AI-native pivot (GEAI platform, AI-integrated Studios, internal productivity gains) can outpace the erosion of traditional services revenue. The 2026-2027 period will determine the outcome. Current valuation (5.9x EV/EBITDA, 13x P/E) prices a meaningful probability of failure.

Investment implication: The bull case for GLOB requires (a) AI-related revenue scaling to 30%+ of mix by 2028 (from 17% in 2025), (b) aggregate services revenue returning to +5% growth by 2027, (c) EBITDA margin stabilizing at 15%+ through the transition. The bear case is a continued low-single-digit revenue trajectory combined with margin compression from AI-enabled rate concessions, leading to multiple compression and potentially strategic PE-takeout scenarios.

7. Investment Implications

7.1 Sector Positioning Framework

We rank IT services sub-segments by risk-adjusted attractiveness in the AI transition:

• Consulting majors (Accenture, Capgemini): Relative winners — scale, C-suite anchor relationships, GenAI platform investments. Valuation reflects this (ACN 22x P/E). Limited multiple expansion from here.
• Indian IT majors (TCS, Infosys): Balanced — defensive (dividends, capital efficiency) offset by mix-shift pressure. Currency tailwinds (rupee weakness) help. Valuations reasonable (22-25x).
• Pure-play digital engineering (GLOB, EPAM, DAVA, TWKS, GDYN): Highest-risk, highest-reward cohort. Distressed valuations (5-12x EBITDA) reflect growth uncertainty. Alpha opportunity if AI pivot executes.
• AI-native services boutiques (private): Attractive growth but not publicly accessible. M&A targets for majors.

7.2 Bull Case for GLOB

• De-rating overshoots fundamentals: Stock down ~86% from Nov 2021 peak while revenue base grew from US$1.3B to US$2.5B, margins remain mid-teens, balance sheet healthy. 5.9x EV/EBITDA, 13% FCF yield implicit in the price.
• AI-native pivot execution: GEAI platform + AI Studios growing 25%+ within a flat-to-down portfolio. If AI-related revenue reaches 30% of mix by 2027-2028, growth profile normalizes at +6-8% and margins stabilize.
• LatAm nearshore structural advantage: H-1B friction + post-pandemic distributed work + timezone advantage favor LatAm delivery. Customer surveys show nearshore preference continues to grow.
• Studios vertical IP: Differentiated vertical offerings (Media, Banks, Consumer, Telecom) provide IP moat vs. generic Indian IT delivery.
• Consolidation target optionality: At US$2.2B market cap with US$400M EBITDA, GLOB is strategic scale for Accenture / Capgemini / PE rollup. Cognizant's Belcan deal (US$1.3B EV for similar scale) is a reference point.

7.3 Bear Case for GLOB

• AI productivity pass-through pressures pricing: Client renewals at -5 to -15% rate concessions compound for 3-4 years, eroding gross margins before new pricing models establish.
• Revenue growth remains structurally low (-2% to +3%) through 2027 as AI-native revenue ramp fails to offset traditional services compression.
• EBIT margin compresses toward 10% (from 14%) as fixed cost absorption worsens. Bench time expands to 30%+ as utilization collapses.
• Large client concentration risk: Top 10 clients ~28% of revenue; loss of a flagship account (Disney, Google, Santander) would compound pressure.
• Argentina volatility: FX, inflation, labor cost dollarization risks. Management transitions (Migoya founder-dependency) amplify operational risk.

7.4 Best Risk/Reward Ideas in Sub-Sector

For investors with 12-24 month horizon, the pure-play digital engineering cohort offers binary upside if AI-native pivots succeed. Within the cohort: GLOB offers highest absolute discount (5.9x EBITDA, -86% drawdown) with balance-sheet durability to survive a multi-year transition. EPAM offers premium capability + better execution track record at 11.5x. Endava is cheapest on EV/Sales but highest revenue risk. Thoughtworks is most distressed and PE-takeout candidate. Paired ideas: Long GLOB / Short TWKS captures execution-quality dispersion; Long pure-plays basket vs. Short Indian IT captures AI-pivot dispersion.

8. Data Sources & Methodology

• Company filings: Globant S.A. Annual Reports 2022-2024 (Form 20-F), Q1-Q4 2025 earnings releases, 2025 investor day (Sep 2025 São Paulo).
• Market data: IDC Worldwide IT Services Spending Guide (2025), Gartner IT Services Forecast (Q3 2025), HFS Research Pure-Play Digital Engineering Market Sizing (Feb 2026), Everest Group AI Services PEAK Matrix.
• Competitive benchmarks: Accenture, TCS, Infosys, Wipro, HCL, Cognizant, EPAM, Endava, Thoughtworks, Grid Dynamics earnings releases and investor presentations.
• AI / Disruption research: Microsoft/GitHub Copilot productivity studies (2024-2025), McKinsey 'The Economic Potential of Generative AI' (Q3 2024), MIT Sloan AI productivity benchmark (Jan 2025), Anthropic Claude Code case studies (2025-2026).
• Regulatory: USCIS H-1B data (FY2025), EU AI Act text and Commission guidance, FTC AI-related enforcement actions, Argentina Economía del Conocimiento legislation text.
• Valuation: Bloomberg consensus, FactSet estimates, Visible Alpha (as of 2026-04-20).

DISCLAIMER: This report was produced by an agentic AI workflow (Agentic Finance Chile) for research and educational purposes. Data is current to Apr 2026 and may contain errors. Not investment advice. No position held by the author at time of publication.