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AI is reshaping business and redefining competitive advantage. Leaders need to adapt their mindsets and strategies to compete and collaborate in ecosystems driven by algorithms.
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AI's implications for business extend far beyond simply automating repetitive tasks. Applied thoughtfully, AI also enables vastly expanded leverage of data, personalization and customization at scale, superior prediction capabilities, and deep integration across platforms and ecosystems.
Business leaders across functions must radically adapt their mindsets and strategies beyond isolated automation use cases to compete in an environment increasingly defined by intelligent and interconnected machines.
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Success requires continuously hypothesizing, building, testing, analyzing, and refining AI-powered prototypes and business models at speed.
Fail fast, adapt, and iterate.
The availability of massive datasets and progress in machine learning vastly accelerate the pace and viability of experiments a company can run.
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Instill tight feedback loops and information flows for continuously observing impacts, drawing insights, and immediately applying the learning by publishing findings and altering strategies.
The pace of AI-infused environments necessitates agility, learning, and willingness to self-disrupt. Never stand still.
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In environments where value is produced via networks, leverage platform business models that efficiently and intelligently match producers and consumers of value, while also capturing a share of that value for the platform via fees, data accumulation, or other means.
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Instill and operationalize strong humanistic guardrails around ethics, fairness, transparency, accountability and control to ensure the development and application of AI technologies ultimately serve and benefit humanity, rather than threaten it.
Technological progress and humanistic progress must advance hand-in-hand.
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IDEAS CURATED BY
CURATOR'S NOTE
In Competing in the Age of AI, Iansiti and Lakhani provide frameworks for business strategy, leadership, and organization in an age increasingly driven by AI, platforms, and networks. They advise on navigating ecosystem-driven disruption.
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