The magnitude of the impact of artificial intelligence rivals the arrival of the Internet or the personal computer; a revolution that reshapes the very fabric of the corporate world. PwC predictions indicate that AI could add up to 15.7% to the global GDP by 2030, a testament to the power of this emerging technology.

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We are living the dawn of a new business era; artificial intelligence (AI) is not simply a wave of change: it is the movement that redefines the rules of business success for the future of most industries.

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The magnitude of its impact rivals the arrival of the Internet or the personal computer; a revolution that reshapes the very fabric of the corporate world. PwC predictions indicate that AI could add up to 15.7% to the global GDP by 2030, a testament to the power of this emerging technology.

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However, with great powers come great responsibilities, and the labor world is at the epicenter of massive transformation. According to the World Economic Forum, it is expected that by 2025 AI will displace 85 million jobs.

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Nevertheless, in a hopeful turn, the creation of 97 million new roles is also projected, demanding new human skills and capabilities. These figures illustrate not a reduction but a metamorphosis in the nature of work.

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This drives a significant change in labor dynamics: from the veneration of 'hard work,' typical of the industrial revolution, to the sagacity of 'smart work,' which is the banner of the new digital era. This transformation is not merely rhetorical but an essential evolution for future survival.

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In this emerging landscape, the most precious capital shifts from the ability to endure long hours of labor to the skill of devising ingenious solutions and adapting agilely to the complexities presented by advanced technology.

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It sounds idyllic, but at the same time challenging to achieve, and the cost in human positions lost during the process will be hard to omit, especially when various metrics indicate that one-third of what humans do today will be replaced before 2030.

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In this context of rapid change, employers and employees must prepare for a radical reconfiguration. Education and professional training are entering an era where fluency in AI is not just an asset but a necessity.

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In my return to Oxford University, I have seen it in all directions, this time from the assertion of understanding AI as a system that, under the capacity of prediction, evolves the entire business system.

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Because the adoption of AI in business is following a frenetic pace, and yet, many are not up to the challenge. Gartner highlights that 85% of AI projects can fail due to the lack of understanding and proper application of the technology.

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This is a call to action for companies to develop a culture that not only adopts AI but also promotes innovation and continuous learning through it, because today a good part of an executive's functions can be created under this technology. But this is no longer a secret.

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Thus, the race for adoption is increasingly evident. Deloitte reveals that 63% of companies recognize AI as a transformative force, and McKinsey that 56% of the top 500 market companies use it in at least one function of their value chain, while global spending on developing AI systems projected by IDC reached $97.9 billion in 2023, it is evident that we are at the cusp of an era dominated by AI.

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All this in the midst of a "parallel reality" where corporates have significant access, depending on the reach of large companies in acquiring tools that protect the privacy of their information. McKinsey indicates that 92% of companies are concerned about the confidentiality and integrity of data when implementing AI.

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While independent workers witness an "AI tool fever" flooding the market at an unprecedented pace, they are already used to the fact that every morning there is a new function, application, etc., that everyone wants to try.

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And while they will be filtered by the very reality of how market evolution works with each new AI application, from data analysis to advanced robotics, it infiltrates every aspect of business.

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However, we are falling into a spiral: thinking that the great arrival is of LLMs (Large Language Models, like ChatGPT) underestimates their scope. AI is the foundation of automation technologies, machine learning, recommendation systems, computer vision, and much more.

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An advance that is not without challenges. Privacy, ethics, and algorithmic bias are crucial concerns that must be addressed. Research from the AI Now Institute warns about the risks of biases in AI algorithms, which can perpetuate existing inequalities if not handled with care and consideration.

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Employers and employees are at a turning point. AI not only demands technological adaptation but also a mindset change. Those who see AI as a threat will inevitably fall behind. On the other hand, those who see it as an opportunity will be the pioneers of the next business revolution.

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Companies that do not integrate AI into their strategies will face an uncertain future. Change is imminent and powerful, and reinvention is the only viable option. This is the moment for companies of all shapes and sizes to assess, adapt, and advance.

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The question is not whether AI will change the business world but who will be at the forefront of that change and who will be left behind, fading into the shadow of innovation. Time to mobilize.

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