For decades, many of the world’s most successful companies followed a familiar business strategy: expand globally, specialize, outsource non-core activities and maximize efficiency.
That model helped businesses reduce costs and build increasingly sophisticated international supply chains.
But artificial intelligence, geopolitical tensions and technological dependence are changing business strategy in 2026.
Companies are increasingly being forced to think about questions that go beyond cost and efficiency.
Who controls critical technology?
How dependent is a business on a single supplier?
Should companies own strategically important infrastructure?
How should businesses respond when technology becomes a national-security issue?
And perhaps most importantly:
Is maximum efficiency still the best strategy in an increasingly unpredictable business environment?
A recent Financial Times analysis of Anthropic’s approach to business provides an interesting lens through which to examine these questions.
The lessons, however, extend far beyond AI companies.
The Traditional Rules of Business Strategy
Modern business strategy has historically emphasized several powerful principles.
Companies were encouraged to focus on their core competencies, expand into international markets, outsource activities where specialist suppliers could perform them more efficiently and keep organizational structures relatively lean.
This created a highly interconnected global economy.
A technology company could design a product in one country, manufacture components in several others and sell the finished product globally.
A retailer could rely on international suppliers.
A financial institution could outsource technology infrastructure.
Businesses optimized their operations around efficiency, specialization and globalization.
The problem is that highly optimized systems can also create significant dependencies.
And those dependencies become visible when something goes wrong.
Artificial Intelligence Is Changing the Meaning of Competitive Advantage
Artificial intelligence is not simply another software category.
AI increasingly affects infrastructure, labor, data, cybersecurity, financial markets, customer service, procurement and decision-making.
This means businesses must think about AI at a strategic level rather than simply asking which AI tool they should purchase.
For example, an organization adopting generative AI may become dependent on:
- A particular AI model provider
- Cloud infrastructure
- Proprietary data
- Application programming interfaces
- Specialized employees
- Computing capacity
- Regulatory approvals
The technology may improve productivity, but it can simultaneously create new forms of vendor and infrastructure dependency.
That creates an important strategic question:
What happens to the business if the technology it depends on changes tomorrow?
AI strategy therefore needs to include both opportunity and dependency management.
AI and Geopolitics Are Becoming Increasingly Connected
One of the biggest changes in technology strategy is the growing connection between AI and geopolitics.
Advanced artificial intelligence depends on enormous amounts of computing power, semiconductor technology, energy and infrastructure.
Those resources have strategic importance.
As governments become increasingly concerned about technological competitiveness and national security, decisions involving AI may no longer be purely commercial.
Businesses may encounter export restrictions, data regulations, technology controls, national-security requirements or restrictions on where certain technologies can be deployed.
This means geopolitical risk is becoming a factor in technology strategy and corporate decision-making.
For business leaders, this changes the question from:
“Which technology is cheapest?”
to:
“Which technology gives us the right combination of capability, reliability, resilience and strategic control?”
Business Efficiency vs Business Resilience
One of the most important strategic tensions emerging from this environment is the difference between efficiency and resilience.
Consider two businesses.
Company A works with one supplier because that supplier offers the lowest price.
Company B maintains relationships with three suppliers at slightly higher cost.
Under normal circumstances, Company A may have the advantage.
But imagine the supplier suddenly experiences a major disruption.
Company A could face a serious operational problem.
Company B may be able to switch suppliers.
The difference is resilience.
This is why modern procurement strategy cannot focus exclusively on getting the lowest price.
Businesses increasingly need to evaluate:
Cost + dependency + disruption risk + switching difficulty + strategic importance.
That is especially relevant for organizations operating in industries where technology, finance or supply chains are critical to operations.
Is Vertical Integration Making a Comeback?
For years, companies were encouraged to outsource activities that were not part of their core business.
That approach remains valuable.
But AI and geopolitical uncertainty are making vertical integration attractive in some strategic areas.
Vertical integration means controlling more stages of the value chain instead of relying entirely on external companies.
AI provides an obvious example.
Leading AI companies require access to:
- Computing infrastructure
- Semiconductors
- Energy
- Data
- Cloud platforms
- AI researchers
- Distribution channels
Owning or controlling more of these capabilities can reduce strategic dependence.
But vertical integration is not automatically better.
Owning everything can require enormous amounts of capital and management attention.
The better question is:
Which capabilities are strategically important enough that depending on another company creates unacceptable risk?
That is a much more useful question than simply asking whether something should be outsourced.
What This Means for Procurement Strategy
The shift is particularly important for procurement professionals.
Traditional procurement often emphasizes price, specifications, quality, supplier performance and contract terms.
Modern strategic procurement increasingly needs to consider resilience and dependency.
Before selecting an important supplier, organizations should ask:
1. How difficult would it be to replace this supplier?
A supplier that can easily be replaced creates less strategic risk than one for which switching would take months.
2. How much of our business depends on them?
A small supplier for a low-value service is different from a provider powering the organization’s entire technology infrastructure.
3. What happens during disruption?
Procurement teams should test scenarios involving price increases, shortages, regulatory changes, cyberattacks and supplier failure.
4. Are we becoming locked into a technology or platform?
Technology contracts can create dependencies that are more difficult to see than traditional supplier relationships.
This is where procurement and technology strategy increasingly overlap.
The AI Opportunity for Entrepreneurs
These changes are also creating opportunities for entrepreneurs.
Whenever businesses become dependent on a new technology, new problems appear around that technology.
Businesses need systems for:
- AI governance
- Workflow automation
- Data management
- Vendor management
- AI security
- Compliance
- Employee training
- Process redesign
- AI implementation
This creates opportunities for entrepreneurs who can solve the operational problems surrounding AI rather than simply building another AI chatbot.
The bigger opportunity may not be AI itself.
It may be the infrastructure that allows ordinary businesses to use AI safely and effectively.
AI Is Also Changing Career Opportunities
The impact of AI on careers is another reason business strategy matters to professionals.
AI can automate many repetitive and predictable activities.
But organizations still need people who understand how businesses actually operate.
This creates demand for professionals who can connect multiple disciplines.
A procurement professional who understands AI can redesign sourcing workflows.
A salesperson who understands automation can build better lead-generation systems.
A marketer who understands data can create highly personalized campaigns.
A finance professional who understands AI can identify opportunities to automate reporting, analysis and customer processes.
The valuable skill is increasingly not just using AI.
It is understanding where AI fits into the economics of a business.
The New Competitive Advantage: Knowing What to Control
The most useful strategic lesson from the changing AI economy may be this:
Companies need to become more deliberate about what they control.
Not everything needs to be owned.
Not everything should be outsourced.
Some capabilities are commodities.
Others are strategic bottlenecks.
For example, a company might comfortably outsource office cleaning while keeping control over proprietary customer data, critical technology infrastructure or a unique distribution network.
The distinction is strategic importance.
A useful framework is:
Outsource what is replaceable.
Control what is critical.
Build resilience around what is difficult to replace.
That framework can apply to technology, procurement, finance, operations and entrepreneurship.
What Business Leaders Should Be Asking in 2026
The changing business environment requires better questions.
Instead of asking only:
How can we reduce costs?
Ask:
How can we reduce costs without creating dangerous dependencies?
Instead of:
Can AI automate this process?
Ask:
What happens if our AI provider changes its pricing, access or capabilities?
Instead of:
Should we outsource this function?
Ask:
Would outsourcing create a strategic dependency?
Instead of:
Which technology is the most advanced?
Ask:
Which technology is reliable, economically sustainable and strategically appropriate for our organization?
These questions lead to better strategic decisions.
The Future of Business Strategy
The old rules of business are not disappearing.
Globalization still matters.
Outsourcing still creates enormous efficiencies.
Specialization still improves productivity.
Technology still enables businesses to scale.
But the environment has changed.
AI, geopolitical competition, supply-chain disruption and technological dependencies are forcing organizations to balance efficiency with resilience.
That means the future of business strategy may be less about building the leanest possible company and more about building a company that can adapt when assumptions change.
For entrepreneurs, procurement professionals, marketers, salespeople and managers, this creates a new strategic skill:
understanding not just how a system works when everything goes right, but what happens when the system is disrupted.
That is where competitive advantage may increasingly be found.
Final Takeaway
Artificial intelligence is often presented as a productivity revolution.
But its strategic significance is much larger.
AI is changing how companies think about technology, procurement, infrastructure, labor, investment, competition and geopolitical risk.
The companies that benefit most may not simply be those that adopt AI fastest.
They may be those that understand where AI creates value, where it creates dependency and which capabilities they need to control themselves.
For business leaders in 2026, that is becoming a central strategic question:
What should we automate, what should we outsource, what should we own—and what would happen if we suddenly lost control of it?
That question belongs at the heart of modern business strategy.