Are you matching your AI strategy to your reality?

The reality

Many firms are discovering that their bold AI pilots collapse when their operating models can’t support them. In fact, AI success depends less on the algorithms than on the fit between a company’s ambitions and its organizational reality. The framework below is built on two dimensions: value-chain control (the degree of influence a company has over the journey from idea to market) and technological breadth (the range and interdependence of the technologies a company must integrate to compete). This generates four strategies you can use to turn AI’s potential into performance: focused differentiation, vertical integration, collaborative ecosystem, and platform leadership. 

1. Focused differentiation: sharpen your edge

Applies to: Companies that typically operate in a mature industry that have limited control over the value chain and low technological breadth. These companies have deep expertise in one part of the value chain – such as product formulation, upstream sourcing, or consumer insight – but don’t control the full path to market. While they’re not at the frontier of AI, they have data and the know-how to use it. They can’t redesign the system, but they can make it smarter.

Such companies should:

• Use AI to fine-tune and optimize products or processes within a defined domain.
• Focus on precise, high-impact use cases, such as a better label, a smarter sensor, or a more adaptive formula.
• Win with AI by going deep, not broad.

2. Vertical integration: wire the machine

Applies to: Companies with strong value chain control but relatively limited technological breadth. Such organizations are often ideal candidates for enterprise-wide AI adoption. They may not need to track every tech trend, but by embedding AI into the processes they already own, they can create significant impact.

Such companies can:

• Use AI to link insights across internal systems, revealing synergies and efficiencies between data, departments, and processes.
• Focus on scale as a multiplier of impact – the larger the operation, the greater the cumulative gains from even small efficiency improvements.
• Win by deploying AI across a tightly controlled system – the ability to connect the dots becomes a unique source of competitive advantage.

3. Collaborative ecosystem: leverage the network

Applies to: Companies that operate in technologically complex ecosystems but lack control over how their solutions ultimately reach the market. Such organizations are best positioned to unlock fundamental discovery – the kind of early-stage breakthrough that reshapes science, technology, or medicine.

These organizations should:

• Partner strategically to share innovation risk, infrastructure, and expertise.
• Share platforms, co-develop tools, and form alliances that align incentives, not just timelines.
• Unlock the powerful synergies that stem from deep collaborative alignment.

4. Platform leadership: shape the norms

Applies to: Organizations with great technological breadth and broad value-chain control. These companies have the scale, data, and architectural reach to see what others can’t and act on the insights before anyone else.

These businesses can:

• Create infrastructure and ecosystems as well as build products.
• Set standards, create open APIs, and design systems that others want to build on.
• Use their ability to detect weak signals and novel patterns to move into seemingly distant domains across geographies, industries, and sectors.