Table 1 Three AI-first strategy... | Emerald Publishing

Table 1

Three AI-first strategy archetypes

	Digital tycoon	Niche carver	Asset augmenter
Strategic intent	Dominate a selected field with data and algorithms	Carve out a niche and scale up	Turn legacy assets into an AI advantage
Data advantage	Digital products and services designed to accumulate real-time data flows	Customer- or domain-specific data accessed and harnessed to train AI models	Tangible core assets producing a continuous flow of sensory and process data
Algorithmic advantage	Core business processes and AI algorithms improve in a mutually reinforcing manner through an AI flywheel effect	Superior algorithmic performance within a spearhead area	Ability to use algorithms inside closely controlled physical environments
Execution advantage	Dominating position helps feed the AI flywheel, leading to continuously increasing user value and lower costs	Deep-tech AI capability enables superior value propositions to be provided to a niche market	Exclusive access to tangible asset base enables AI-driven efficiency and augmentation in processes and product–service portfolios
Strategic bottlenecks and risks	Massive digital scope creates regulatory pressure, internal coordination costs and reputational risks	Intense technological focus might overshadow broader customer value creation	Legacy mindsets, practices and systems

	Digital tycoon	Niche carver	Asset augmenter
Strategic intent	Dominate a selected field with data and algorithms	Carve out a niche and scale up	Turn legacy assets into an AI advantage
Data advantage	Digital products and services designed to accumulate real-time data flows	Customer- or domain-specific data accessed and harnessed to train AI models	Tangible core assets producing a continuous flow of sensory and process data
Algorithmic advantage	Core business processes and AI algorithms improve in a mutually reinforcing manner through an AI flywheel effect	Superior algorithmic performance within a spearhead area	Ability to use algorithms inside closely controlled physical environments
Execution advantage	Dominating position helps feed the AI flywheel, leading to continuously increasing user value and lower costs	Deep-tech AI capability enables superior value propositions to be provided to a niche market	Exclusive access to tangible asset base enables AI-driven efficiency and augmentation in processes and product–service portfolios
Strategic bottlenecks and risks	Massive digital scope creates regulatory pressure, internal coordination costs and reputational risks	Intense technological focus might overshadow broader customer value creation	Legacy mindsets, practices and systems

Source: Authors