Goldman Sachs Maintains Buy Rating on Fujitsu, Positive on AI Partnerships Boosting Efficiency

Overview

This report comments on Fujitsu’s (6702.T) announcement of business partnerships with U.S.-based AI companies Anthropic and OpenAI. Goldman Sachs believes that although such collaborations are increasingly common among competitors, they will help Fujitsu improve productivity and enhance its solution capabilities through AI tools. The report maintains a ‘Buy’ rating on Fujitsu, citing its leadership in AI-driven systems development and attractive valuation.

Core views

Partnership Details and Strategic Intent: Fujitsu’s collaboration spans four key areas: (1) strengthening its FDE (Forward Deployed Engineer) business by integrating AI tools such as Claude and Codex into Uvance solutions to enhance product and service offerings; (2) enhancing cybersecurity by leveraging AI tools to more efficiently identify vulnerabilities in customers’ core systems; (3) improving internal productivity via company-wide deployment of Claude to advance AI-driven development and further boost engineers’ labor productivity; and (4) reinforcing industry-specific solutions, with particular emphasis on manufacturing and healthcare/pharmaceutical sectors. Competitive Landscape and Differentiation: Goldman Sachs notes that while major domestic systems integrators such as NEC have also announced partnerships with Anthropic, Fujitsu’s initiative does not distinguish itself in terms of partner selection. However, Fujitsu is viewed as leading peers in the practical implementation of ‘AI-driven development.’ AI coding-assist tools do not replace core systems themselves but rather increase their development efficiency—thus enabling coexistence and collaboration between large Japanese systems integrators (which excel at core systems development) and Anthropic’s AI tools. Fujitsu’s broader adoption of Claude is expected to deepen its leadership in this area. Fundamentals and Valuation Logic: As Japan’s leading systems integrator, Fujitsu is enhancing profitability through resource concentration and structural reforms—including divestiture of non-core businesses. Goldman Sachs forecasts significantly improved margins driven by human-resource optimization, offshore resource utilization, disposal of non-core assets, operating leverage from growing demand for the Uvance segment, and widespread application of generative AI in systems development. Productivity gains from internal AI usage are viewed as a key driver.

Analysis framework

Goldman Sachs employs a hybrid approach combining event-driven analysis and fundamental valuation. First, it evaluates the partnership announcement’s specific content—covering FDE, security, internal efficiency, and industry solutions—to assess tangible impacts on Fujitsu’s operational efficiency and long-term competitiveness, rather than relying solely on conceptual appeal. Second, at the valuation level, it adopts a Sum-of-the-Parts (SOTP) methodology, assigning distinct P/E multiples to Fujitsu’s IT services and hardware businesses and calculating a weighted-average target price based on profit contribution. Finally, by benchmarking against industry-average P/E ratios—and incorporating Fujitsu’s unique advantages in long-term profit growth, shareholder return policy, and exposure to AI and defense-related businesses—it justifies Fujitsu’s valuation premium.

Methodology notes

• Valuation MethodologySOTP Segment Valuation

  Sum-of-the-Parts Valuation

  The report segments Fujitsu’s business into IT services and hardware, applying different P/E multiples (21–22x for IT services, 20x for hardware) and weighting them by respective profit contributions to derive an overall target price. This method more precisely reflects differing growth profiles and valuation levels across business units.

• Corporate Fundamentals & Financial FrameworkOperating/Financial Leverage Analysis

  Operating Leverage Effect

  The report highlights that rising demand for the Uvance segment will trigger operating leverage, meaning fixed costs are spread over higher revenues, thereby amplifying profit growth relative to revenue growth—a critical lens for assessing profitability improvement potential at systems integrators.

• Competitive & Strategic FrameworkMoat / competitive advantage

  Technology Synergy and Coexistence

  The report analyzes the relationship between AI tools and traditional systems integrators, emphasizing that AI coding assistants augment—not replace—core systems development, underscoring Fujitsu’s established strengths in large-scale systems engineering and the complementary nature of AI tools. This represents a capability-based, co-evolutionary competitive barrier analysis.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• Fujitsu (6702.T)

  Direct beneficiary, enhancing development efficiency and solution competitiveness through the partnerships

  Strengths

  Leadership in AI-driven development versus peers, strong legacy expertise in core systems development, growing demand for the Uvance segment

  Weaknesses

  Similar partnership model to competitors (e.g., NEC), lacking exclusivity

  Comparison

  Compared to other systems integrators, Fujitsu is progressing faster in internal AI adoption and development process reengineering

  Risks

  Deterioration in IT services demand, weakening telecom operator capex, loss-making projects

Key data

• 12-Month Target Price¥4,330Based on Goldman Sachs’ FY28 (ending March 2028) EPS forecast of ¥206 and a 21x target P/E
• Current Share Price¥3,512As of close on May 27, 2026
• Implied Upside23.3%Potential appreciation of target price relative to current share price
• Target P/E Ratio21xWeighted-average overall target P/E, representing a premium to the industry average of 18x
• FY3/28 EPS Forecast¥206Goldman Sachs’ earnings per share estimate for fiscal year ending March 2028

Impact & implications

For Fujitsu, this partnership marks a pivotal step in its transition from traditional systems integration toward an AI-augmented service model. In the near term, markets may focus on the pace of AI tool adoption in live projects and its contribution to gross margins; over the medium to long term, if AI significantly boosts per-engineer output, it could reshape Fujitsu’s cost structure and profit model. For the industry, this signals a collective embrace of generative AI by Japan’s leading systems integrators, shifting competitive dynamics from raw labor scale to the efficiency ratio of ‘human + AI.’

Risks

• Declining IT services and hardware demand due to worsening business sentiment
• Weakening capital expenditures by telecom operators
• Loss-making projects

What to watch

• Specific AI-driven development outlook in Fujitsu’s mid-term plan scheduled for release on May 28
• Actual productivity gains following company-wide rollout of Claude tools
• Demand growth trajectory and operating leverage realization progress within the Uvance segment