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Intel Engineering

To design and deliver leading-edge silicon and computing innovations by becoming the trusted performance leader that unleashes the potential of data globally.

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Align the strategy

Intel Engineering SWOT Analysis

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To design and deliver leading-edge silicon and computing innovations by becoming the trusted performance leader that unleashes the potential of data globally.

Strengths

  • MANUFACTURING: Vertically integrated IDM model enabling process control
  • TALENT: Deep technical expertise in semiconductor engineering
  • SCALE: Robust global infrastructure and manufacturing footprint
  • PORTFOLIO: Diverse product portfolio across computing segments
  • RESEARCH: Industry-leading R&D capabilities with $15B+ annually

Weaknesses

  • EXECUTION: Manufacturing process node delays vs. roadmap targets
  • AGILITY: Organizational complexity slowing decision-making
  • MARGIN: Profitability challenges with 43% gross margin vs. 60%+
  • COMPETITIVENESS: Process technology lag vs. TSMC by 1-2 nodes
  • INNOVATION: Customer perception of falling behind in key segments

Opportunities

  • FOUNDRY: Growing the Intel Foundry Services business to $20B+
  • AI: Expanding presence in the $25B+ AI accelerator market
  • DIVERSIFICATION: Capturing emerging workload-specific markets
  • ECOSYSTEM: Building stronger developer and partner communities
  • EDGE: Leadership in edge computing and IoT semiconductor solutions

Threats

  • COMPETITION: TSMC and Samsung advancing process technology faster
  • SPECIALIZATION: Continued rise of domain-specific silicon competitors
  • GEOPOLITICS: Supply chain vulnerabilities and trade restrictions
  • TALENT: Increasing competition for top engineering talent
  • COMMODITIZATION: Price pressure in core processor segments

Key Priorities

  • PROCESS: Accelerate process technology roadmap execution to 18A
  • FOUNDRY: Scale Intel Foundry Services to compete with TSMC
  • AI: Develop competitive AI silicon portfolio across all segments
  • INNOVATION: Rebuild engineering excellence culture and processes
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Align the plan

Intel Engineering OKR Plan

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To design and deliver leading-edge silicon and computing innovations by becoming the trusted performance leader that unleashes the potential of data globally.

PROCESS LEADERSHIP

Reclaim semiconductor process technology superiority

  • EXECUTION: Achieve Intel 18A manufacturing readiness by Q4 2025 with 5 test chips
  • QUALITY: Deliver 30% improved transistor performance vs. previous node across 10 test vectors
  • INNOVATION: Finalize 3 next-generation process technologies extending leadership beyond 18A
  • YIELD: Achieve 80%+ manufacturing yield on Intel 4 process for high-volume production
FOUNDRY EXPANSION

Establish Intel Foundry as tier-1 semiconductor manufacturer

  • CUSTOMERS: Sign 8 new strategic foundry customers with combined $5B+ long-term commitments
  • ECOSYSTEM: Launch comprehensive PDK and EDA tool chain supporting all major design platforms
  • CAPACITY: Complete qualification of 3 new manufacturing facilities for advanced node production
  • CERTIFICATION: Achieve automotive (IATF 16949) and aerospace (AS9100D) compliance across 4 fabs
AI ACCELERATION

Deliver leadership AI silicon across computing continuum

  • PERFORMANCE: Achieve top-3 MLPerf ranking in at least 4 AI benchmark categories
  • ADOPTION: Secure 15+ design wins for Gaudi3 AI accelerators with hyperscalers and enterprises
  • INTEGRATION: Incorporate AI acceleration in 100% of client and server CPU product lines
  • ARCHITECTURE: Deliver unified OneAPI AI software stack supporting all Intel hardware platforms
ENGINEERING EXCELLENCE

Rebuild world-class technical culture and capabilities

  • TALENT: Reduce technical talent attrition by 40% through targeted retention initiatives
  • METHODOLOGY: Implement agile engineering practices across 90% of development teams
  • VELOCITY: Decrease new product development cycle time by 25% for core silicon platforms
  • COLLABORATION: Establish 5 joint engineering centers with strategic university partners
METRICS
  • PROCESS LEADERSHIP: Intel 18A manufacturing readiness by Q4 2025
  • FOUNDRY REVENUE: $8B annualized revenue run-rate by EOY 2025
  • AI MARKET SHARE: 20% of AI accelerator market by units shipped
VALUES
  • Customer Obsession: Listening and responding to customers, they are the center of everything we do
  • Fearless Innovation: Taking risks, learning from mistakes, transforming possibilities into reality
  • Results Orientation: Setting challenging goals, taking ownership and delivering excellence
  • Integrity and Transparency: Conducting business with uncompromising ethics and transparency
  • Inclusion: Fostering diverse and inclusive environments to drive innovation and growth
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Align the learnings

Intel Engineering Retrospective

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To design and deliver leading-edge silicon and computing innovations by becoming the trusted performance leader that unleashes the potential of data globally.

What Went Well

  • FOUNDRY: Intel Foundry Services gaining traction with new customers
  • EFFICIENCY: Cost reduction initiatives delivered $3B+ in savings
  • EXECUTION: Intel 4 process node certification completed on schedule
  • DIVERSIFICATION: Non-PC/server revenues growing at 15%+ annually
  • PARTNERS: Expanded strategic technology partnerships ecosystem

Not So Well

  • REVENUE: 5% YoY decline in Data Center and AI Group (DCAI) revenue
  • COMPETITION: Continued market share loss to AMD in server segment
  • MARGINS: Gross margin pressure below 45% target due to investments
  • PERCEPTION: Investor confidence challenging with stock performance
  • CAPACITY: Underutilization of manufacturing capacity impacting costs

Learnings

  • INNOVATION: Engineering excellence requires consistent commitment
  • STRATEGY: Process technology leadership is foundational to success
  • FOCUS: Concentrating investments on fewer, high-impact initiatives
  • AGILITY: Need to accelerate decision-making and reduce bureaucracy
  • COLLABORATION: Breaking silos between product and process groups

Action Items

  • ROADMAP: Accelerate Intel 18A validation and customer certification
  • PORTFOLIO: Streamline product lines to focus engineering resources
  • BENCHMARKS: Create transparent performance tracking vs. competition
  • TALENT: Implement restructured compensation for key technical roles
  • PARTNERSHIPS: Expand foundry ecosystem with IP and design services
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Drive AI transformation

Intel Engineering AI Strategy SWOT Analysis

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To design and deliver leading-edge silicon and computing innovations by becoming the trusted performance leader that unleashes the potential of data globally.

Strengths

  • PORTFOLIO: Comprehensive AI product line from Edge to Data Center
  • ECOSYSTEM: Intel AI software development tools and frameworks
  • COMPUTING: Deep expertise in CPU/GPU optimization for AI workloads
  • INVESTMENT: Strategic acquisitions in AI technologies (Habana Labs)
  • DATA: Access to large compute datasets for training and optimization

Weaknesses

  • PERFORMANCE: Gap in AI training acceleration vs. NVIDIA GPUs
  • ADOPTION: Lower market share in AI accelerator segment (<10%)
  • PERCEPTION: Not viewed as primary AI silicon leader by developers
  • FRAGMENTATION: Multiple AI product lines with unclear positioning
  • TALENT: Competitive disadvantage in attracting top AI researchers

Opportunities

  • INTEGRATION: Embedded AI capabilities across product portfolio
  • DEMOCRATIZATION: Making AI accessible in more computing segments
  • EFFICIENCY: AI-optimized silicon for power-constrained environments
  • ARCHITECTURE: Novel heterogeneous computing designs for AI
  • SPECIALIZATION: Workload-specific AI accelerators for key markets

Threats

  • NVIDIA: Dominance in data center AI with 80%+ market share
  • HYPERSCALERS: Cloud providers building custom AI silicon in-house
  • STARTUPS: Agile competitors with specialized AI architectures
  • COMMODITIZATION: Narrowing differentiation in AI silicon
  • COMPLEXITY: Rapidly evolving AI workloads requiring adaptation

Key Priorities

  • UNIFICATION: Create coherent end-to-end AI silicon strategy
  • PERFORMANCE: Achieve competitive AI benchmarks vs. competition
  • ECOSYSTEM: Expand AI developer platform and tools adoption
  • SPECIALIZATION: Develop domain-specific AI accelerators