Article 1: AI isn't Cost, it's Survival: Why the Great is the Enemy of the Good in Technology Adoption
Generative Artificial Intelligence (AI) has captured the attention, the imagination, and concern of the majority of business leaders around the world. The business fabric stands on the threshold of a new era of drastic transformation, and AI is not a mere passing trend, but a fundamental force ready to reshape the way we work and live.
With the launch of ChatGPT, the “honeymoon” between executives and Generative AI is at an end; The time has come to make the pragmatic adaptations, that is, to start the “marriage”. Waiting for the perfect strategy or for the ideal moment is the biggest trap a C-Level can face today.
The Dilemma of Survival and the Imperative to Act Quickly
For business leaders, AI is no longer an option; it is an essential tool to maintain competitiveness. The majority of CEOs anticipate a major transformation in business, and 87% of organizations believe that AI will provide a competitive advantage. Without updating to this new way of working, a large fraction of companies will cease to exist.
Generative AI is a crucial lever for the reinvention of business, promoting creativity, automation and competitiveness. The impact of AI is colossal: the technology is expected to contribute $15.7 trillion to the global economy by 2030, and studies show that Generative AI, alone, can add between US$ 2.6 trillion and US$ 4.4 trillion to the global economy annually. (McKinsey)
In this scenario, leaders and decisionmakers need to address AI more quickly and in depth than expected. AI is like a “bullet train”: it has already started leaving the station and is gaining speed every day. The key is to start and learn by doing, trying new solutions and improving with each iteration, until you build something valuable.
The Non-Strategy Trap and the Focus on ROI
One of the main problems in adopting AI is trying to implement it in an organization without a clear strategy. Adding AI without a clear vision has no effect and, worse, it may encourage going in the wrong direction. AI is not a cost; It's an investment, and successful integration requires a clear vision of desired goals.
Where, then, to start? The biggest mistake many executives make is leaving aside the problem-firststrategy (focusing on the problem first) and adopting an AI-firstapproach. Many AI projects fail not because of the technology itself, but due to a flawed strategy and the absence of a clear use case for business.
The correct approach is:
- Identify the Pain: Try to identify what the team does every s the days and that can be made easier.
- Focus on Return: Start with smaller projects that have a big impact on everyday life. The qualification of a project must take place by looking at the size of the pain you want to solve and the return on the investment o (ROI).
- Prioritize Quick Return: The goal is to extract value now, without waiting years until you have a consolidated model. Leading organizations in Generative AI are integrating Generative AI into everyday operations and aligning technology goals directly with business results.
Meaningful results cannot be achieved without a strategy that goes beyond aspirations. Executives should prioritize AI technologies capable of delivering the greatest potential for return.
Leader Priorities: Understanding and Literacy
To avoid falling into "hype" or exaggerated enthusiasm that does not generate concrete value, the executive must change his focus on learning ado:
- Priority Number 1: Understand the Mechanism The main priority is to understand the mechanism of working of AI. This does not mean becoming an expert, but acquiring the fundamental knowledge to make informed decisions and communicate the value of AI.
- Priority Number 2: Understanding what AI EnablesAfter understanding the mechanism, you need to understand what the technology really enables you to do, adopting a “comprehensive, forest view.” This understanding is the best "vaccine against hype".
Leaders must promote effective AI literacy of all employees, because, today, the ability to use technology is more important than the technology itself. The first step is to understand the potential and impacts of AI.
In short, AI is no longer just a theoretical concept; She is a game changer. The secret to lasting success is not to wait for the perfect strategy, but to start with small goals that aim to generate business benefits is, monitoring the data closely and, above all, establishing a clear vision that articulates strategic goals.
Tip: Start Personal Automation with the Master Prompt
A practical way to begin the modernization journey is to apply the power of AI directly to your routine and to the routines of the executives you advise. Prompt Engineering (knowing how to ask good questions for the AI) is the most important skill in the age of AI.
Use the structure below in a Large Language Model (LLM) like ChatGPT or Gemini, replacing the text in brackets ([ ]) with actual information from your company or the executive you are coaching.
The goal is to simulate a Task Automation Consultant:
MASTER PROMPT: PERSONAL EFFICIENCY CONSULTANT
1. PERSONA AND CONTEXT: Act like an expert in automation and productivity, whose job is to analyze routines and find the biggest time-saving opportunities with AI.
2. MY ROUTINE (INPUT):
- My Profession: [Ex: Senior Sales Director]
- My Main Goal: [Ex: Have more time for personalized relationships with key clients and less time on team management.]
- My 5 Most Repetitive and Most Time Consuming Tasks:
1. [Ex: Create drafts of lead follow-up emails.]
2. [Ex: Summarize 20-page reports before board meetings.]
3. [Ex: Transcribe and organize team brainstorming ideas.]
4. [Ex: Scheduling alignment meetings with 5 different managers, with endless email exchanges.]
5. [Ex: Review the commercial proposals sent by the junior team.]
3. TASK: Based on my routine, perform the following:
- Diagnosis and Prioritization: Analyze my 5 tasks and order them from the easiest/quickest to automate to the most complex.
- Action Plan for Task #1 (the easiest):
- Give a name for the automation.
- Describe a simple, step-by-step strategy for me to automate or semi-automate this task.
- Please provide a specific prompt or a tool (like Calendly, ChatGPT, or Copilot) that I can use for this.
- Estimated Time Gain:
- Estimate how many minutes per week I can save by automating the 3 easiest tasks on the list.
4. OUTPUT FORMAT: Present the answer as a quick, practical, and motivating consulting plan.
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