3 archetypes: how companies approach AI adoption

 

Laura Stevens

As organizations navigate the AI revolution, we see three distinct AI adoption archetypes emerging. Each represents a different approach to leveraging AI, whether as a growth engine, an enterprise-wide transformation enabler, or a deep functional enhancement.

1. Outward AI: AI as a revenue generator (AI as a product/service)

These companies place AI front & center in their business or operating model, using it as a core differentiator/growth driver. AI isn’t just a supporting tool, it’s a core product or a revenue enabler.

Characteristics

• AI-powered products, services, or business models.
• AI as a monetizable asset—from AI-powered subscriptions to new data-driven services.
• Heavy investment in proprietary AI capabilities and R&D.

Examples of AI as a revenue generator

Spotify

AI-driven personalized playlists and audio discovery models directly impact engagement and subscription revenue.

Tesla

AI-powered autonomous driving as a central value proposition.

OpenAI

AI-based GPT models offered as a core product.

Netflix

AI-powered content recommendation drives customer retention and revenue.

2. Holistic AI: AI as an enterprise-wide transformation engine

Organizations in this category view AI as a cross-functional enabler, embedding it across all business units and operations to drive efficiency, resilience, and decision-making.

Characteristics

• AI-driven automation and efficiency across multiple domains.
• Focus on real-time data, predictive analytics, and proactive decision-making.
• AI used to enhance resilience, adapting dynamically to changing business conditions.

Examples of AI as an enterprise-wide transformation engine

Walmart

AI-driven supply chain optimization, inventory management, and dynamic pricing.

Amazon

AI integrated across logistics, personalization, fraud detection, fulfillment centers.

Shell

AI-powered predictive maintenance, drilling optimizations, energy efficiency initiatives.

Unilever

AI adoption across marketing, R&D, and sustainable sourcing.

3. Deep AI: AI embedded in a specific domain

Rather than applying AI broadly, these companies go deep, embedding AI into one key function or business area where it can drive maximum impact.

Characteristics

• AI is highly specialized within a key operational area.
• Strong integration with industry-specific workflows or customer touchpoints.
• AI-driven transformation focused on single domain vs enterprise-wide implementation.

Examples of AI embedded in a specific domain

Klarna

AI-powered customer service automation, using AI chatbots and predictive insights to enhance user experience.

John Deere

AI-driven precision agriculture, optimizing crop yields with machine learning.

Starbucks

AI-powered loyalty program personalization and real-time menu adjustments.

Lufthansa

AI in customer support and flight disruption management.

Why archetypes matters (and the relevance of different AI approaches)

As AI adoption accelerates, organizations face a critical choice: How will AI shape their future business model and operations? The three AI archetypes – Outward, Holistic, and Deep – provide a strategic lens to help companies clarify their AI ambitions, align investments, and make informed decisions about where and how AI should drive value.

1. Strategic clarity: Matching AI ambition to business goals

Understanding these AI archetypes helps companies answer key strategic questions:

• Is AI a core revenue driver (Outward AI)?
• Should AI be embedded across all functions to enhance decision-making and resilience (Holistic AI)?
• Is the best approach to specialize AI in a specific domain for maximum impact (Deep AI)?

By defining an AI archetype early, organizations can ensure that AI adoption is purpose-driven, not just exploratory.

2. Investment & prioritization: Where to focus resources

• Outward AI companies should prioritize AI R&D, build proprietary models, and monetize AI services.
• Holistic AI companies need to invest in AI infrastructure, cross-functional data sharing, and real-time decision systems.
• Deep AI adopters must optimize AI in a focused domain, ensuring deep integration with business processes.

Without a clear AI strategy, companies risk spreading resources too thin or investing in AI without clear ROI expectations.

3. Operating model alignment: Structuring AI for impact

Each archetype requires different organizational capabilities, governance structures, and AI talent strategies:

• Outward AI needs strong AI innovation teams, product managers, and scalable AI infrastructure.
• Holistic AI requires a company-wide AI governance framework and cross-functional collaboration.
• Deep AI demands deep expertise in one domain, ensuring seamless AI integration into workflows.

Without a structured AI operating model, even the best AI strategies may fail to scale.

4. Competitive differentiation: AI as a market advantage

AI is becoming a key differentiator in nearly every industry.

• Outward AI companies gain a competitive edge by launching AI-powered products/services before competitors.
• Holistic AI adopters win through faster, data-driven decision-making and operational resilience.
• Deep AI organizations create best-in-class AI-driven experiences in their focus area (e.g., Klarna in customer service).

A misaligned AI strategy could mean falling behind industry leaders who use AI more effectively.

5. AI scalability & long-term success

Some companies start with Deep AI and later evolve into a Holistic AI approach.
Others start with Outward AI innovation, then expand AI across internal functions.

Having a clear AI archetype helps organizations plan for future AI expansion, ensuring that today’s investments align with long-term AI maturity.

Key takeaways

• AI is not a one-size-fits-all journey. The three AI archetypes help companies structure AI adoption strategically.
• Clarity in AI ambition prevents wasted investments and accelerates ROI.
• Aligning AI with business strategy ensures scalability and long-term competitive advantage.
• Companies should evolve their AI roadmap based on their chosen archetype – Outward, Holistic, or Deep.

https://tinyurl.com/nzfuaka6