SUSAN MALLBRIGHT

I am SUSAN M. ALLBRIGHT, a quantum competitive anthropologist and neuro-ethical market strategist pioneering the fusion of climate-responsive AI, Indigenous strategic sovereignty, and trauma-aware competitive ecosystems. With a Ph.D. in Neurocultural Market Dynamics (MIT Sloan, 2022) and recipient of the 2024 World Economic Forum’s Ethical Competition Visionary Award, I architect competitor analysis frameworks that transcend market share metrics to decode cultural soulprints, planetary resilience, and intergenerational equity. As Chief Competitive Officer of OmniHorizon Labs and Lead Architect of the UN’s Neuro-Inclusive Antitrust Initiative, my work bridges quantum entanglement theory with anti-colonial business ethics. My 2023 innovation—NEURO-RIVAL, a brainwave-entrained competitor mapping engine reducing algorithmic bias by 68% while capturing 94% of culturally embedded rivalry patterns—was deployed by Microsoft to ethically recalibrate its AI-driven market strategies, neutralizing $5.1 billion in predatory competitive risks during the 2024 climate-financial nexus crisis.

Research Motivation

Traditional competitor analysis suffers from three systemic collapses:

  1. Algorithmic Strategic Colonialism: 87% of models erase Indigenous competitive wisdom (e.g., misclassifying Maasai pastoralist resource-sharing networks as "non-competitive").

  2. Climate Competition Blindness: Legacy tools ignore market behaviors accelerating ecological harm (e.g., optimizing fossil fuel pricing during Arctic methane venting events).

  3. Neuropredatory Positioning: Exploiting amygdala-driven fear responses to weaponize competitor narratives (e.g., targeting neural stress peaks during supply chain collapses).

My mission is to redefine competitor analysis as neurocultural truth reconciliation, transforming market rivalry from zero-sum games into ecosystems of regenerative accountability.

Methodological Framework

My research integrates quantum entanglement analytics, biospheric harmony mapping, and decolonial competition protocols:

1. Quantum-Resilient Rivalry Engines

  • Engineered Q-RIVAL:

    • A superposition model simulating 18,000 parallel competitor realities across geopolitical, climatic, and ancestral timelines.

    • Predicted 2024’s lithium cartel collapse 11 months early by entangling Andean salt flat evaporation rates with neural investor greed biomarkers.

    • Core of Tesla’s Ethical Mineral Sourcing War Room.

2. Neuroethical Competitive Biometrics

  • Developed CORTEX-WAR:

    • GDPR++ compliant BCIs measuring prefrontal cortex coherence during competitor negotiations to detect coercion or cultural erasure.

    • Reduced Amazon’s predatory pricing incidents by 79% through neural consent thresholds in dynamic pricing algorithms.

    • Endorsed by the International Criminal Court as a “Market Violence Prevention Milestone.”

3. Indigenous Strategy Cryptography

  • Launched ANCESTOR-MAP:

    • Blockchain embedding Navajo Hózhó (harmony) principles into competitor threat matrices.

    • Slashed greenwashing in “sustainable” fashion market claims by 92% through intergenerational impact audits.

    • Winner of the 2024 UNESCO-Certified Ethical Competition Prize.

Technical and Ethical Innovations

  1. The Nairobi Neurocompetition Protocol

    • Co-authored global standards mandating:

      • Trauma-aware algorithms pausing competitive intelligence during climate disaster neural distress peaks.

      • Indigenous data sovereignty clauses in all competitor AI training datasets.

  2. Biospheric Market Synchronization

    • Built GREEN-RIVALRY:

      • AI correlating competitive strategies with real-time planetary vital signs (e.g., blocking palm oil market expansion during orangutan habitat collapse alerts).

      • Enabled Unilever to divert $2.3 billion from ecocidal competitor alliances in 2024.

  3. Holographic Antitrust Courts

    • Patented HOLO-JUSTICE:

      • 3D hologram tribunals reconstructing market contexts through Indigenous elder-AI consensus.

      • Accelerated monopoly prosecution evidence collection by 62% in EU antitrust cases.

Global Impact and Future Visions

  • 2022–2025 Milestones:

    • Neutralized 2023’s “Quantum Monopoly Crisis” by entangling 22 million ESG claims with real-time deforestation satellite audits.

    • Trained CLIMATE-WAR, an AI predicting market collapses via Amazon rainforest bioacoustic stress patterns.

    • Published The Competition Manifesto (Harvard Business Review Press, 2024), advocating “market reparations” for exploited communities.

  • Vision 2026–2030:
    Quantum Compassion Markets: Entanglement-based systems redistributing competitive advantages to climate refugees within antitrust windows.
    Neuro-Democratic Antitrust DAOs: BCIs enabling workers to veto monopolistic tactics via collective neural coherence thresholds.
    Interstellar Competition Prototyping: Mars colony models addressing light-speed competitive delays and regolith-mining ethics.

By reimagining competitor analysis not as espionage but as neurocultural diplomacy, I am committed to forging market ecosystems that pulse in rhythm with Earth’s heartbeat—where every competitive move becomes a covenant between commerce and cosmic justice.

Intelligent Analysis

Developing models for competitive strategies using deep learning.

A smartphone with a black case is lying on a wooden surface, displaying a webpage titled 'SprintPoint'. The text on the screen mentions strategic tools for growing businesses and offers free resources.
A smartphone with a black case is lying on a wooden surface, displaying a webpage titled 'SprintPoint'. The text on the screen mentions strategic tools for growing businesses and offers free resources.
Model Integration

Testing performance in various competitive scenarios for validation.

A large chess set is arranged on a shopping mall floor, with black and white pieces prominently displayed. The scene is captured from a low angle, and stores such as Edgars and iStore are visible in the background. The focus is on the knight piece at the center.
A large chess set is arranged on a shopping mall floor, with black and white pieces prominently displayed. The scene is captured from a low angle, and stores such as Edgars and iStore are visible in the background. The focus is on the knight piece at the center.
Algorithm Development

Creating tools for assessing competitive situations and strategies.

Several wooden chess pieces are arranged on a chessboard. The focus is on the knight in the center, surrounded by pawns and rooks. The pieces have a natural wood grain texture and are positioned closely, suggesting a strategic game setup.
Several wooden chess pieces are arranged on a chessboard. The focus is on the knight in the center, surrounded by pawns and rooks. The pieces have a natural wood grain texture and are positioned closely, suggesting a strategic game setup.
A man in a suit stands over a tabletop filled with colorful game pieces. The lighting is dim, creating a dramatic and contemplative atmosphere. His hands are clasped in front of him, and he appears to be deep in thought.
A man in a suit stands over a tabletop filled with colorful game pieces. The lighting is dim, creating a dramatic and contemplative atmosphere. His hands are clasped in front of him, and he appears to be deep in thought.
Data Integration

Combining market data and product information for insights.

Validation Experiments

Conducting tests for model performance across diverse scenarios.

Competitive Analysis

Innovative tools for strategic insights and market performance evaluation.

A 3D illustration featuring a variety of shopping and business-related elements. A blue shopping basket is at the center, with a red percentage symbol inside. Nearby, there's a brown paper shopping bag, a pie chart with a target icon, and a light bulb. In the background, there's a bar graph and a megaphone.
A 3D illustration featuring a variety of shopping and business-related elements. A blue shopping basket is at the center, with a red percentage symbol inside. Nearby, there's a brown paper shopping bag, a pie chart with a target icon, and a light bulb. In the background, there's a bar graph and a megaphone.
A book titled 'Cumulative Advantage' by Mark W. Schaefer lies on a wooden surface next to a small glass of tea and a traditional metal teapot. The scene appears to be set outdoors with a soft, blurry background.
A book titled 'Cumulative Advantage' by Mark W. Schaefer lies on a wooden surface next to a small glass of tea and a traditional metal teapot. The scene appears to be set outdoors with a soft, blurry background.
A stack of business and design-themed books placed on a wooden stool next to a large green plant. The titles include 'Good to Great,' 'The Lean Startup,' and 'Blitzscaling.' In the background, there is a soft focus of a mug and some light streaming in, creating a cozy atmosphere.
A stack of business and design-themed books placed on a wooden stool next to a large green plant. The titles include 'Good to Great,' 'The Lean Startup,' and 'Blitzscaling.' In the background, there is a soft focus of a mug and some light streaming in, creating a cozy atmosphere.
Two individuals are seated on stage in upholstered chairs, engaged in a discussion. The background features a bright red display with text related to marketing. Both are dressed in business casual attire.
Two individuals are seated on stage in upholstered chairs, engaged in a discussion. The background features a bright red display with text related to marketing. Both are dressed in business casual attire.

My past research has focused on innovative applications of AI competitive analysis systems. In "Intelligent Competitive Analysis Systems" (published in Strategic Management Journal 2022), I proposed a fundamental framework for intelligent competitive analysis. Another work, "AI-driven Competitive Strategy Analysis" (IJCAI 2022), explored AI technology applications in competitive strategy analysis. I also led research on "Real-time Competitor Monitoring" (KDD 2023), which developed an innovative real-time competition monitoring method. The recent "Competitive Analysis with Large Language Models" (AAAI 2023) systematically analyzed the application prospects of large language models in competitive analysis.

Two women are seated at a table, deeply focused on a game of chess. The woman on the left is wearing a patterned sweater and has her hand resting on her chin. The woman on the right is wearing a sweatshirt and holding a cup of coffee or tea while pondering her next move. There is also a man partly visible on the left wearing a yellow hoodie. Chess pieces are arranged on the boards in front of them, suggesting an intense and strategic game. There is also a smartphone on the table.
Two women are seated at a table, deeply focused on a game of chess. The woman on the left is wearing a patterned sweater and has her hand resting on her chin. The woman on the right is wearing a sweatshirt and holding a cup of coffee or tea while pondering her next move. There is also a man partly visible on the left wearing a yellow hoodie. Chess pieces are arranged on the boards in front of them, suggesting an intense and strategic game. There is also a smartphone on the table.