Artificial intelligence (AI) has become a strategic priority for large corporations, with 80% of them planning to adopt the technology by 2025, according toGartner dataBut are they truly prepared? With 85% of AI projects failing, the question is: how much do companies understand about the challenges of this transformation?
Although AI offers benefits such as process automation and predictive analysis, experts warn that many of these projects do not achieve the expected results due to the complexity of their integration. Overcoming this barrier requires more than cutting-edge technology; it demands a strategic approach, with robust planning, skill development, and an organizational culture adapted to continuous innovation.
The challenges of implementation
The main obstacles include the limited data infrastructure and the scarcity of qualified talent. Many companies still face difficulties in scaling AI solutions due to low data governance maturity, leading to inconsistent implementations and inaccurate results.
Furthermore, the lack of clarity regarding the strategic use of data hampers informed decision-making. Technology should be seen as a complementary tool to traditional management, focusing not only on automation but also on how to improve processes effectively and humanely.
Organizational culture and governance
The misalignment between technological enthusiasm and organizational readiness is evident. Many corporations are accelerating their investments in AI, but without adequate support in terms of governance and training. This creates an environment where technology is implemented in a fragmented way, without deeply integrating into daily operations.
According to a recent survey byAccenture, 64% of companies face difficulties in adopting innovations, and 78% of executives say that tools evolve faster than training areas.
Ethical and responsible governance is also a critical issue, especially regarding privacy and transparency. According toGartner, by 2028, companies with AI governance platforms will reduce the number of ethical incidents by 40%.
Transparency, privacy and alignment between technology and organizational culture will be essential differentiators.
The future of AI in business
Despite challenges, the global AI market is expected to reach nearly $1 trillion by 2027, according to theBain & Co. In Brazil, the race for AI is gaining momentum, driven by globalization and competitive pressure.
Companies that have already modernized their processes with AI have recorded 2.4 times more productivity and 2.5 times greater revenue growth, according to theAccenture, with AI applied in areas such as IT (75%), marketing (64%), customer service (59%) and finance (58%).
The successful adoption of AI depends on a balanced vision between innovation and organizational development, where continuous learning and adaptability are part of the culture. Companies that invest not only in technology but also in the qualification of their teams and in the creation of solid governance will be better prepared to reap the long-term benefits of AI. As the race for AI advances, organizations that know how to balance these factors will have a better chance of leading in the future market, avoiding the mistakes that lead many projects to failure.
