🔥 The Automation Delusion: Why Speed Without Strategy Fails
For years, companies have equated speed with progress—automating at scale without first defining the problem. What are we trying to solve? That is the only thing you must be able to answer before starting.
The result? Several high-profile AI and ML deployments have failed due to poor planning, strategy, and execution:
- 🛑 Cancelled AI Project: A $4B cancer treatment AI project was halted due to reliance on poor data, lack of adaptability, and unsafe recommendations.
- 📉 Loss in Real Estate AI: An AI home buying tool led to a $304M loss, highlighting issues with price prediction failures and absent market testing.
- 📊 High Failure Rate: 70% of AI projects fail due to rushed implementation and lack of readiness assessments.
- 📉 Data Issues: Many AI models fail because they rely on poor or irrelevant data.
- 📉 Scalability Problems: System efficiency is hampered by scalability and integration issues.
- 🔄 Resource Allocation: Inadequate resource allocation results in stalled AI initiatives.
- 🌍 Contextual Challenges: AI often struggles to adapt to local contexts, reducing its effectiveness.
- ⚠ Need for Planning: These failures illustrate the necessity for comprehensive planning, realistic expectations, and rigorous testing.
- 🔧 Tool, Not a Solution: The recurring failures highlight the importance of viewing technology as a tool serving a strategic purpose, not as an all-encompassing solution.
🔥 Why Execution, Not Automation, Defines the Future
Too often, businesses deploy technology without first defining the objective, constraints, or desired outcome. Execution must be intentional, precise, and adaptable—not reactive.
🔥 The Enterprise Shift: Orchestration Over Automation
Define First, Deploy Second → Strategy before technology. Execution starts with clarity, not code.
Orchestration Wins Over Automation → Systems must work together, not operate in isolation.
Execution Over Speed → Moving fast in the wrong direction only accelerates failure.
Soft costs and hidden costs built into one-size-fits-all engagements are always there. Strategy + insights = success.
🔥 I am Participating in a Movement vs. Being Thrilled to Announce
🤖 Challenging the one-size-fits-all approach to automation for years. Effective next week, I am aligning with a firm that values strategic execution and intentional technology use.
🎯 The future belongs to those who execute with precision; all else risks accelerating failure.
🔥 The Final Question: What Needs to Change?
Executives, decision makers, and strategists—you've seen automation fail when strategy wasn't the starting point.
Let's set the record straight.