AI race: 80% of large companies plan to implement by 2025, but are they ready?

Artificial intelligence (AI) has become a strategic priority for large corporations, with 80% of them planning to adopt the technology by 2025, according to the report gartner Data. However, are they truly prepared? With 85% of AI projects failing, the question is: how much do companies understand about the challenges of this transformation?

While AI offers benefits such as process automation and predictive analytics, 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 requires a strategic approach, with robust planning, skills development and an organizational culture adapted to continuous innovation.

The implementation challenges

Key hurdles include limited data structure and a shortage of skilled talent.Many companies still struggle to scale AI solutions due to low data governance maturity, leading to inconsistent implementations and inaccurate results. 

In addition, the lack of clarity about the strategic use of data makes it difficult to make informed decisions.Technology should be seen as a complementary tool to traditional management, focusing not only on automation, but on how to improve processes effectively and humanized.

Organizational culture and governance

The misalignment between technological enthusiasm and organizational preparedness is evident. Many corporations are accelerating their investments in AI, but without the proper support in terms of governance and training.This creates an environment where technology is deployed in a fragmented way, without integrating deeply into daily operations.

According to a recent survey by Accenture64% 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 with regard to privacy and transparency Gartner, By 2028, companies with AI governance platforms will reduce 40% the number of ethical incidents.

Transparency, privacy and alignment between technology and organizational culture will be essential differentiators.

The future of AI in business

Despite the challenges, the global AI market is expected to reach almost US$ 1 trillion by 2027, according to the report Bain & Coin Brazil, the race for AI gains strength, 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 higher revenue growth, the company said Accenture, with AI applied in areas such as IT (75%), marketing (64%), customer service (59%) and finance (58%).

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 the creation of sound governance, will be better prepared to reap the benefits of AI in the long term. As the race for AI advances, organizations that know how to balance these factors will be more likely to lead in the market of the future, avoiding the mistakes that lead many projects to failure.