The title signals a caution against expecting immediate, sweeping transformation from AI. It frames AI progress as an evolution that unfolds over time, not an overnight shift. The emphasis is on pacing, suggesting that impact will accumulate through incremental advances. This perspective counters hype and underscores the need for patience as capabilities mature. It highlights that organizations should anticipate uneven adoption across functions and industries. The focus is on aligning expectations with a realistic trajectory for results.
Implications include planning for staged rollouts and measuring progress in phases. Leaders should set timelines that account for learning curves and operational adjustments. They should prepare for change management needs rather than assuming instant productivity gains. Risk management should address overcommitment born of inflated timelines. Resource allocation should balance near-term experiments with longer-term capability building. Communication should be transparent about what AI can deliver now versus later. The overall message is to move deliberately, invest steadily, and calibrate decisions to the fact that the AI revolution will not happen overnight.
👉 Pročitaj original: Harvard Business Review
