Day 2: Why GenAI Matters to Leaders
Welcome to Day 2
Businesses today are messy. Many are experiencing change fatigue and grappling with a host of competing priorities due to market instability, shifting customer trends, and fluctuating costs. With so many strategies vying for attention, it’s challenging for leaders to develop and stick with a decisive, yet agile, AI strategy.
Some leaders are tempted to wait out this round of ‘critical-for-business’ changes, dismissing them as hype. Others are overwhelmed, questioning how to prioritize AI amidst their myriad urgent tasks.
Understanding GenAI and Why It Matters to Leaders
Generative AI is not just a technological advancement; it marks an evolutionary moment in our history. (I’ll talk more about what to expect in periods of punctuated evolution in another post.) AI and GenAI are strategic assets that can drive innovation, efficiency, and personalized customer experiences at unprecedented speed and scale. Ignoring this technology risks leaving businesses painfully behind.
Leaders have three choices when facing evolutionary technology. For example, when electricity was invented, business leaders chose to either:
1. Ignore it entirely and stick with candles.
2. Use it without innovating further.
3. Embrace it *and innovate,* creating new revenue and competitive opportunities.
Only the third group survived and thrived, with some companies evolving into today’s global leaders.
How to be Purposefully Intelligent with AI
Adopting AI requires a strategic effort, including reassessing past approaches to innovation and competition. New investments often come with high expectations but lack visibility into the organization’s actual capacity to support and execute new initiatives.
Most companies lack this visibility, making purposeful intelligence difficult. It’s a well-known fact that 70-90% of all change, strategy, technology, and transformation programs fail to hit their targets. This leads to repeated failures, poor ROI, and trillions of dollars wasted.
These failures often result in “Zombie Projects”—initiatives that are killed due to failure but revived under new leadership with a new budget and the same goals. Common examples include becoming more agile, customer-centric, or moving to product-led organizations.
AI ; GenAI need a fresh approach. More on this and how to be competitive on our next post.
Stay tuned for more insights on how to strategically implement AI and GenAI in your organization. For more details on how GainX can help you navigate this transformation, contact us directly. For the longer version of this series of posts, check out more in our Executive blog or sign up for our Newsletter .
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