Paul’s Perspective:
Leaders must see beyond the hype of disposable software and recognize that speed alone doesn’t solve the core challenge—capturing and directing team and user attention toward meaningful, reliable outcomes. The most successful businesses will be those who tailor their AI strategy to deliver consistent value fit for their specific customers, not simply follow trendy development practices.
Key Points in Video:
- While software costs have dropped sharply with AI assistance, attention management remains a critical bottleneck in enterprise environments.
- Developer-centric platforms can iterate multiple times per day, but enterprise users demand consistent reliability and minimal surprises.
- Only 5% of the market can adopt the disposable, fast-release model—most companies require a different playbook for trust and value.
- Proactive, embedded AI delivers unseen customer value, while reactive ‘bolt-on’ chatbots fail to differentiate or retain customers.
Strategic Actions:
- Recognize the collapse of software creation costs, but factor in persistent attention and reliability constraints.
- Distinguish between developer-oriented and enterprise-oriented software models.
- Assess customer needs—in particular, their demand for reliability versus tolerance for change.
- Develop AI strategies to deliver proactive value—not just reactive features—to end users.
- Identify which market ‘game’ your business is playing, and adjust your approach accordingly.
The Bottom Line:
- Faster, cheaper software driven by AI is reshaping development, but most organizations underestimate the hidden costs of attention and reliability.
- Enterprises must rethink their strategy, focusing on proactive AI value instead of simply shipping faster.
Dive deeper > Source Video:
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Our team can help you navigate the shift to AI-native, reliable software by tailoring strategies that fit your business priorities and customer expectations. If you’d like to talk through how these trends could impact your operations, let’s connect.





