AI, Capital, and Strategy: What Leadership Needs to Connect for Investment to Become Advantage
By Pedro Sonda, dooop
For AI investment to become an advantage, leadership must connect three decisions: where the company wants to compete (strategy), how much capital goes to each type of bet (allocation), and how the return will be measured and enforced (financial discipline). AI investments have four natures: efficiency (reducing cost and time), growth (new or increased revenue), defense (not losing position), and option (learning about something that may become relevant). Each nature has different horizons, risks, and metrics. Mixing them into a single "technology" line is one reason many AI investments fail to deliver expected returns.
Updated October 2026.
What Data Shows About AI and Value
| Data | Source |
|---|---|
| Only 12% of CEOs report simultaneous revenue and cost gains from AI; companies applying AI in products and services had profit margins nearly 4 percentage points higher | PwC, 2026 |
| AI-leading companies report double the revenue growth and 40% greater cost reductions than others | BCG, 2025 |
| Cost reductions from AI appear most often in supply chain, service operations, and manufacturing; revenue increases in marketing and sales; high-performing companies pursue growth and innovation beyond efficiency | McKinsey, 2026 |
| 63% of non-executive directors rank AI among the top five investments to generate shareholder value in the next two years | Gartner, 2024 |
| 85% of CEOs expect positive returns from scaled efficiency initiatives by 2027, and 77% from growth initiatives | IBM, 2025 |
Interpretation: Stronger results appear when AI is used for growth, not just cost cutting, and when it reaches products and services. This requires treating AI as a capital allocation decision linked to strategy, not as a technology expense.
dooop Framework: The 4 Natures of AI Investment
| Nature | Objective | Typical Horizon | Risk | Main Metric |
|---|---|---|---|---|
| Efficiency | Reduce cost, time, or errors in existing processes | Short (months) | Low to medium | Cost per unit; cycle time; errors |
| Growth | Increase revenue, conversion, retention, or create new offerings | Medium | Medium to high | Revenue, margin, conversion, retention |
| Defense | Avoid losing position against competitors or changes in customer behavior | Medium | Medium | Market share, retention, cost of inaction |
| Option | Learn about an uncertain possibility | Variable | High, with small investment | Learning and decision to continue or not |
How Leadership Uses the Matrix
- Classify each investment into one of the four natures.
- Apply the correct metric: efficiency in months, growth in business cycles, option in learning.
- Balance the portfolio: only efficiency tends to limit value; only options tend to disperse resources.
- Review the composition annually in light of strategy.
The 4 Connections Leadership Must Make
| Connection | Question |
|---|---|
| Strategy → where to apply | In which part of the value chain can AI change our competitive position? See How to Discover Where AI Can Generate Competitive Advantage |
| Strategy → nature of investment | What proportion goes to efficiency, growth, defense, and option? |
| Capital → discipline | What return do we expect, in what timeframe, and when do we stop? See How to Decide How Much to Invest in Artificial Intelligence |
| Capital → build, buy, or partner | What is differentiating and should be ours, and what can be purchased? McKinsey recorded that 32% of organizations avoided buying at least one software because they built it internally with agent programming tools |
The Role of the Board
The board should verify that the AI thesis is linked to strategy, that the allocation among the four natures makes sense, and that returns are measured with the correct metric. See The Role of the Board of Directors in Artificial Intelligence.
What to Do Now
- Classify current AI investments into the four natures.
- Check if the metric applied matches each investment’s nature.
- Discuss with the executive board and the board of directors the desired composition for the next cycle.
To connect AI to strategy and capital allocation, learn about dooop consulting.
Frequently Asked Questions
Should AI be treated as an expense or an investment? It depends on the nature. General productivity tools are usually operational expenses; redesigns of core processes and new offerings behave as investments and deserve return analysis.
Should medium-sized companies invest in AI for growth or only efficiency? Efficiency usually comes first because it generates faster returns and learning. But reserving part of the effort for growth or defense prevents AI from being limited to cost cutting while competitors change their offerings.
How to prevent option bets from becoming waste? With small investment, short timeframe, and clear continuation criteria. A well-managed option ends in a decision, not a permanent project.
Also Read
- AI as a Productivity Tool or Competitive Advantage?
- How to Put Artificial Intelligence on the Board’s Agenda
About dooop
dooop is a consultancy based in Caxias do Sul (RS) that prepares leaders and organizations to transform artificial intelligence into business capability, with strategy, governance, and training.