The artificial intelligence scenario in Brazil is revealing an interesting paradox: while AI adoption is skyrocketing in companies, we face a critical shortage of qualified professionals to implement these technologies. This situation is not only a challenge, but also represents a historic opportunity for those who know how to position themselves strategically.<\/p>\n
According to a recent study by Bain & Company, cited by Forbes Brazil<\/a>, the demand for professionals with AI skills has grown by an average of 21% per year, a pace that the market simply cannot keep up with. In Brazil, the scenario is even more challenging: 39% of executives point to the lack of internal expertise as a major obstacle to implementing generative AI solutions in their companies.<\/p>\n This is no trivial concern. Lucas Brossi, partner and leader of artificial intelligence at Bain in South America, categorically states that the absence of these professionals is directly compromising the innovation capacity of Brazilian companies \u2013 precisely when we need it most.<\/p>\n Google estimates an alarming deficit of 530,000 IT professionals in Brazil by the end of this year, while data from Brasscom indicates that only 53,000 new talents will be trained in the area in the same period. The math is simple and worrying: we are training only 10% of the professionals needed.<\/p>\n Meanwhile, AI has ceased to be a futuristic promise and has become the protagonist of profound changes in the job market, as F\u00e1bio Cassettari, managing partner of Career Group, rightly observed in an interview with State of Minas Gerais<\/a>. Roles in sectors such as customer support, back-office and banking are being directly impacted by automation.<\/p>\n The World Economic Forum\u2019s \u201cFuture of Jobs Report 2023\u201d projects a scenario of massive transformation: 83 million jobs could be eliminated by 2027, while 69 million new jobs will be created. It is a restructuring on a global scale that has already begun to happen.<\/p>\n In my experience working with startups and companies undergoing digital transformation, I have observed that organizations that are able to attract and retain AI talent are developing substantial competitive advantages. It is no coincidence that salaries for these professionals are increasing by an average of 11%, as indicated in the Bain study.<\/p>\n A fascinating aspect of this transformation is the emergence of new professions. According to a report by Trade Journal<\/a>, the evolution of AI is creating careers that didn\u2019t even exist two years ago. Among them:<\/p>\n These professions represent not just an adaptation of the market, but a complete reimagining of the skills that are valued. In my mentoring work with professionals in career transition, I have advised on the importance of developing both technical skills and the ability to think critically about the impacts of technology.<\/p>\n A curious and worrying fact emerges in a recent study by Duke University, mentioned by YOU INC.<\/a>: People who use AI at work are often seen by colleagues as lazier and less competent.<\/p>\n This stigma represents a cultural challenge that we urgently need to overcome. Resistance to the adoption of new technologies is nothing new in human history, but it can be particularly damaging in the current context, where the speed of change demands adaptability.<\/p>\n As I\u2019ve said in my talks about the future of work, it\u2019s not about \u201chumans versus machines,\u201d but about \u201chumans augmented by machines versus humans without them.\u201d Those who resist integrating with new tools risk being left behind.<\/p>\n For companies that want to successfully navigate this transformational scenario, I recommend some strategies that I have seen work well:<\/p>\n The good news is that there are increasingly accessible resources for those who want to train. Google, for example, recently made Cloud Skills Boost available, with 1,296 free technology courses, including 25 specific to generative AI, as reported by YOU INC.<\/a>.<\/p>\nReconfiguring Work: Destruction and Creation<\/h2>\n
The new professions of the AI era<\/h2>\n
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The Perception Paradox: Using AI at Work<\/h2>\n
How to overcome the AI talent shortage<\/h2>\n
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Opportunities in AI Content Licensing<\/h2>\n