🚀 **Is AI Overhyped? Let's Break It Down** 🤖 There's a lot of buzz around AI and its potential in business. But is it all just hype? Here are some key points to consider: **High Expectations**: Many companies and investors expect AI to revolutionize industries overnight. This can lead to inflated expectations and disappointment when immediate results aren't seen. We have seen some stocks deflate as actual earnings start to reflect reality. **Real-World Implementation**: Despite the hype, actual implementation of AI in businesses is still relatively limited. A survey found that only 4.4% of businesses in the U.S. reported using AI to produce goods or services. This gap between talk and action suggests that while the potential is there, practical applications are still catching up. AI will gain steam and "cross the chasm" of adoption once enough use cases are proven. **Long-Term Potential**: While the short-term hype might be exaggerated, the long-term potential of AI is significant. Experts believe that AI will eventually transform various aspects of business operations and the workforce. However, this transformation will likely take time and require careful planning and execution. Let's face it, it represents change, and maybe a little fear. **Challenges and Misunderstandings**: Many businesses struggle with how to effectively deploy AI. The term "AI" is often used broadly, sometimes misleadingly, to attract attention and investment. This can lead to misunderstandings about what AI can realistically achieve in the near term. In summary, while there is a lot of hype around AI, its true potential is still unfolding. It's important for businesses to have realistic expectations and to focus on practical, incremental implementations to harness AI's benefits effectively. In my experience, it has taken a while for it to prove its worth, but I do keep finding ways to incorporate it into my every day work. What are your thoughts on AI's role in business? #AI #Business #Innovation #Technology #Future
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Azhar Shah I engage with a bunch of enterprise customers and their leaders and I feel that the biggest hurdle in AI adoption is the leadership themselves. A wide majority of these leaders have never had a meaning engagement with an LLM, let alone other GenAI components. They have never experienced the Joy of a masterpiece being generated by an Image Gen model. Let's not even talk about the code gen models. So how can one be excited about the potential use case of a technology, if the decision makers themselves are merrily unaware of what they may be missing. Transformation stems from the FOMO and the insatiable desire to change/adapt and having a clear vision of what/how that may be incorporated into an actionable strategy. Enterprise AI adoption must come from top down. Leaders must engage with the technology in some form to steer their companies into a Another factor is that everyone wants to build the next perplexity or OpenAI. The leaders(again) don't want to touch anything other than B2B. This in my opinion is leaving a lot of breadcrumbs on the table. The business you are hoping will come knocking to your door is itself in AI analysis paralysis (as are their leaders). Start building small and grow.
AI Transformation | Digital Transformation | Program Management | Business Architecture | Business Strategy
Have you noticed the growing hesitation around AI? Despite all the buzz, I’ve been seeing businesses struggle with AI adoption. They know it’s a game-changer, but they’re paralyzed by uncertainty. 💡 I call it AI paralysis. Every new technology brings a chance for transformation, and AI offers an even bigger opportunity than anything we’ve seen in recent times. 🤔 Why is that? Because AI isn’t just another tool. It’s a transformative force, improving the very technologies we already use. 🤔 So, what does this mean for your business? 😇 In short, everything. Yes, you read it correct. Everything about your business. 💡 AI is set to change the way businesses operate—for the better. Normally, businesses jump at the chance to adopt new tech, especially when it drives innovation and keeps them competitive. But when it comes to AI, I’m seeing hesitation in many of the discussions I had with several business leaders. People are asking: 👉 Is this the right use case? 👉 Do we have the expertise to make this work? 👉 Will AI even integrate with our current processes? These are valid concerns, but they’re leading to a kind of analysis paralysis —AI paralysis. 💡 The solution? Shift your mindset. Instead of overthinking the perfect use case or how everything will work from day one, start by thinking about how AI can enhance the business capabilities you already have. Don’t overwhelm yourself trying to figure it all out right away. Start small and focus on making your current processes smarter. Think of it like learning to crawl before you walk—and then run. 👍 AI doesn’t have to be daunting. Take it step by step, enhancing what you’re already doing, and you’ll be on the right path. #IntelligentProcesses #IntelligentArchitecture #AI #DigitalTransformation #IntelligentTransformation #BusinessArchitecture
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There’s no denying that AI can be an incredible force for good in business. But should AI form part of 𝘺𝘰𝘶𝘳 business’ growth strategy? Here’s how to answer that all-important question... AI has changed the business world as we know it, helping companies in tech and beyond to increase efficiency, unlock value, and augment human skills. With all the buzz surrounding it, it can feel nonsensical to consider not buying into the trend. But, as with anything, AI’s positive impact isn’t guaranteed. Before proceeding, you should consider carefully whether it’s the right move for your business at this particular time. For their article in the Harvard Business Review, Tomas Chamorro-Premuzic and Darko Lovric have laid out 5 steps to help you make the call: ➡️ Define what AI means for your business and identify a realistic use case, linking it to measurable and improvable outcomes. ➡️ Evaluate whether the current state of technology can satisfy your use case. ➡️ Determine how (and whether) you can access the technology you need. Also, consider whether you have the data and skills needed to embrace the technology fully. ➡️ Gauge your overall AI appetite. How much investment are you prepared to commit, and what risk are you prepared to take? ➡️ Assess your execution capabilities. Do you have the right people, skills, and culture in place to ensure success? Read more: https://lnkd.in/evXQ6RPU #AI #ExecutiveSearch #Technology #DigitalTransformation
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There’s no denying that AI can be an incredible force for good in business. But should AI form part of 𝘺𝘰𝘶𝘳 business’ growth strategy? Here’s how to answer that all-important question... AI has changed the business world as we know it, helping companies in tech and beyond to increase efficiency, unlock value, and augment human skills. With all the buzz surrounding it, it can feel nonsensical to consider not buying into the trend. But, as with anything, AI’s positive impact isn’t guaranteed. Before proceeding, you should consider carefully whether it’s the right move for your business at this particular time. For their article in the Harvard Business Review, Tomas Chamorro-Premuzic and Darko Lovric have laid out 5 steps to help you make the call: ➡️ Define what AI means for your business and identify a realistic use case, linking it to measurable and improvable outcomes. ➡️ Evaluate whether the current state of technology can satisfy your use case. ➡️ Determine how (and whether) you can access the technology you need. Also, consider whether you have the data and skills needed to embrace the technology fully. ➡️ Gauge your overall AI appetite. How much investment are you prepared to commit, and what risk are you prepared to take? ➡️ Assess your execution capabilities. Do you have the right people, skills, and culture in place to ensure success? Read more: https://lnkd.in/eUqKJSiz #AI #ExecutiveSearch #Technology #DigitalTransformation
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There’s no denying that AI can be an incredible force for good in business. But should AI form part of 𝘺𝘰𝘶𝘳 business’ growth strategy? Here’s how to answer that all-important question... AI has changed the business world as we know it, helping companies in tech and beyond to increase efficiency, unlock value, and augment human skills. With all the buzz surrounding it, it can feel nonsensical to consider not buying into the trend. But, as with anything, AI’s positive impact isn’t guaranteed. Before proceeding, you should consider carefully whether it’s the right move for your business at this particular time. For their article in the Harvard Business Review, Tomas Chamorro-Premuzic and Darko Lovric have laid out 5 steps to help you make the call: ➡️ Define what AI means for your business and identify a realistic use case, linking it to measurable and improvable outcomes. ➡️ Evaluate whether the current state of technology can satisfy your use case. ➡️ Determine how (and whether) you can access the technology you need. Also, consider whether you have the data and skills needed to embrace the technology fully. ➡️ Gauge your overall AI appetite. How much investment are you prepared to commit, and what risk are you prepared to take? ➡️ Assess your execution capabilities. Do you have the right people, skills, and culture in place to ensure success? Read more: https://lnkd.in/eUqKJSiz #AI #ExecutiveSearch #Technology #DigitalTransformation
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There’s no denying that AI can be an incredible force for good in business. But should AI form part of 𝘺𝘰𝘶𝘳 business’ growth strategy? Here’s how to answer that all-important question... AI has changed the business world as we know it, helping companies in tech and beyond to increase efficiency, unlock value, and augment human skills. With all the buzz surrounding it, it can feel nonsensical to consider not buying into the trend. But, as with anything, AI’s positive impact isn’t guaranteed. Before proceeding, you should consider carefully whether it’s the right move for your business at this particular time. For their article in the Harvard Business Review, Tomas Chamorro-Premuzic and Darko Lovric have laid out 5 steps to help you make the call: ➡️ Define what AI means for your business and identify a realistic use case, linking it to measurable and improvable outcomes. ➡️ Evaluate whether the current state of technology can satisfy your use case. ➡️ Determine how (and whether) you can access the technology you need. Also, consider whether you have the data and skills needed to embrace the technology fully. ➡️ Gauge your overall AI appetite. How much investment are you prepared to commit, and what risk are you prepared to take? ➡️ Assess your execution capabilities. Do you have the right people, skills, and culture in place to ensure success? Read more: https://lnkd.in/evXQ6RPU #AI #ExecutiveSearch #Technology #DigitalTransformation
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In the short term, most organizations are focusing on cost-cutting using AI-driven solutions. While this is not surprising in the context of today’s operating environment, there is also significant potential for generative AI to boost revenue growth by facilitating the creation of new, value-added products and services and/or enhancing existing products and services. To fully leverage AI's capabilities, organizations should develop a comprehensive AI strategy and then establish a structured roadmap for implementation, aligning with strategic goals. During the initial phases, it is crucial to strike a balance between a top-down, centralized approach to maintain standards plus drive efficiencies and a bottoms-up approach to encourage ideation and innovation. One common challenge is the lack of clarity in decision-making processes. Therefore, as you craft your roadmap, ensure clarity on the roles of individuals involved in decision-making and implementation to avoid any roadblocks and streamline the process. And don’t let your current organizational structure get in the way. Inspire a one-team approach and then shape the organization to meet the opportunity. As we look towards the future, generative AI will in more cases than not become the coworker most couldn’t imagine but now don’t want to be without. The real MVP though will be those who leverage generative AI to unlock incremental strategic growth. My thoughts as I make my way through the friendly skies. What are yours? #generativeai #ai
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The great AI divide: Why only 5% of companies are winning the AI race The AI maturity landscape has undergone a seismic shift in 2024. What fascinates me most is the dramatic surge in adoption: 72% of organizations are now using AI, up from around 50% in previous years. This is a fundamental transformation. what I find particularly intriguing: organizations aren't just experimenting anymore. They are implementing AI across multiple business functions, with 50% now using AI in two or more areas. The most striking aspect? Generative AI adoption has nearly doubled in just ten months, with 65% of organizations now regularly using it. The caveat: while adoption is soaring, only a small subset of organizations are capturing significant value. The high performers (those attributing >10% EBIT to GenAI) are doing three key things differently: 1. Operating in more business functions (average of 3 vs 2) 2. Focusing more on customization than off-the-shelf solutions 3. Implementing comprehensive risk management practices In my view these numbers also underscore the urgency that decision makers are faced with. Without basic but intentional AI adoption, your company runs the risk of losing its competitive edge in no time. What's your experience? Are you seeing this maturity acceleration in your organization? And more importantly, are you focusing on experimentation or value creation? #AI #digitaltransformation #GenAI ___ Need help with AI in your company? At Claritys.AI we make AI work for your company. DM to see how we can help. Enjoyed this post? Like 👍, comment 💭, or re-post ♻️ to share with others.
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There’s no denying that AI can be an incredible force for good in business. But should AI form part of 𝘺𝘰𝘶𝘳 business’ growth strategy? Here’s how to answer that all-important question... AI has changed the business world as we know it, helping companies in tech and beyond to increase efficiency, unlock value, and augment human skills. With all the buzz surrounding it, it can feel nonsensical to consider not buying into the trend. But, as with anything, AI’s positive impact isn’t guaranteed. Before proceeding, you should consider carefully whether it’s the right move for your business at this particular time. For their article in the Harvard Business Review, Tomas Chamorro-Premuzic and Darko Lovric have laid out 5 steps to help you make the call: ➡️ Define what AI means for your business and identify a realistic use case, linking it to measurable and improvable outcomes. ➡️ Evaluate whether the current state of technology can satisfy your use case. ➡️ Determine how (and whether) you can access the technology you need. Also, consider whether you have the data and skills needed to embrace the technology fully. ➡️ Gauge your overall AI appetite. How much investment are you prepared to commit, and what risk are you prepared to take? ➡️ Assess your execution capabilities. Do you have the right people, skills, and culture in place to ensure success? Read more: https://lnkd.in/gzZu3ccU #AI #ExecutiveSearch #Technology #DigitalTransformation
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There’s no denying that AI can be an incredible force for good in business. But should AI form part of 𝘺𝘰𝘶𝘳 business’ growth strategy? Here’s how to answer that all-important question... AI has changed the business world as we know it, helping companies in tech and beyond to increase efficiency, unlock value, and augment human skills. With all the buzz surrounding it, it can feel nonsensical to consider not buying into the trend. But, as with anything, AI’s positive impact isn’t guaranteed. Before proceeding, you should consider carefully whether it’s the right move for your business at this particular time. For their article in the Harvard Business Review, Tomas Chamorro-Premuzic and Darko Lovric have laid out 5 steps to help you make the call: ➡️ Define what AI means for your business and identify a realistic use case, linking it to measurable and improvable outcomes. ➡️ Evaluate whether the current state of technology can satisfy your use case. ➡️ Determine how (and whether) you can access the technology you need. Also, consider whether you have the data and skills needed to embrace the technology fully. ➡️ Gauge your overall AI appetite. How much investment are you prepared to commit, and what risk are you prepared to take? ➡️ Assess your execution capabilities. Do you have the right people, skills, and culture in place to ensure success? Read more: https://lnkd.in/eUqwMaYN #AI #ExecutiveSearch #Technology #DigitalTransformation
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There’s no denying that AI can be an incredible force for good in business. But should AI form part of 𝘺𝘰𝘶𝘳 business’ growth strategy? Here’s how to answer that all-important question... AI has changed the business world as we know it, helping companies in tech and beyond to increase efficiency, unlock value, and augment human skills. With all the buzz surrounding it, it can feel nonsensical to consider not buying into the trend. But, as with anything, AI’s positive impact isn’t guaranteed. Before proceeding, you should consider carefully whether it’s the right move for your business at this particular time. For their article in the Harvard Business Review, Tomas Chamorro-Premuzic and Darko Lovric have laid out 5 steps to help you make the call: ➡️ Define what AI means for your business and identify a realistic use case, linking it to measurable and improvable outcomes. ➡️ Evaluate whether the current state of technology can satisfy your use case. ➡️ Determine how (and whether) you can access the technology you need. Also, consider whether you have the data and skills needed to embrace the technology fully. ➡️ Gauge your overall AI appetite. How much investment are you prepared to commit, and what risk are you prepared to take? ➡️ Assess your execution capabilities. Do you have the right people, skills, and culture in place to ensure success? Read more: https://lnkd.in/eEX5EcrS #AI #ExecutiveSearch #Technology #DigitalTransformation
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