Artificial intelligence is already changing the game in companies and exposing unprepared leaders
- Matheus Hooks/ Editor-In-Chief
- 2 hours ago
- 2 min read
Artificial intelligence has shifted from being a trend to becoming a game-changer in the way companies operate, make decisions, and scale productivity. For expert Claudio Teixeira, the current moment is not just another technological cycle, but a structural transformation comparable to the arrival of electricity in industries.
“The most honest comparison is with electricity. When it arrived in factories, companies simply swapped steam power for electric power and it took them years to realize they could redesign everything from scratch. That is exactly what is happening now with AI,” he says.
Although the internet is also an important reference, Claudio highlights a decisive factor: the speed of adoption. “Electricity took about 40 years to achieve mass adoption, the internet took 15. ChatGPT reached 100 million users in just two months. It’s a different scale, a different pace of transformation.”
From promise to practice: where AI is already impacting results
AI adoption is already visible in key areas of companies, with a direct impact on efficiency and productivity.
“Customer service is being turned upside down. In software development, professionals using copilots are delivering 30 to 40 percent faster. Marketing, legal, and contract analysis are also already operating with AI support in their daily work.”
According to him, any role based on reading, synthesizing, and producing content can already be enhanced with the tools available today.
Faster decisions — and higher risks
While AI accelerates processes, it also demands a new level of leadership maturity.
“The biggest impact is in the speed of synthesis. A brief that used to take a week to be prepared by three analysts can now be ready before the meeting.”
The risk lies in overconfidence. “The model is convincing even when it is wrong. A leader who does not develop critical thinking risks making wrong decisions with too much confidence.”
The mistakes slowing adoption
Despite the progress, many companies still stumble in implementation.
“The most common mistake is buying a tool without knowing which problem you want to solve. Then it just becomes a showcase.”
Another critical point is organizational culture. “If the team thinks they will be replaced, they adopt it in theory, but sabotage it in practice.”
Data quality also comes into play. “AI built on bad data only accelerates the mess.”
Risks leaders cannot ignore
Among the main strategic risks, three stand out:
AI hallucination, when the model invents information with high confidence
Data leakage, especially from misuse of public tools
Productivity illusion, when content volume is mistaken for real results
“Generating more output does not mean generating more value. Companies that measure success only by volume will struggle to sustain the investment.”
Who will lead and who will fall behind
For Claudio, competitive advantage will not lie in the technology itself, but in how it is applied.
“Everyone will have access to the same tools. What differentiates leaders from followers is clarity about the problem, a culture of responsible experimentation, and investment in people.”
He also emphasizes that adaptation is not only for companies. “Professionals need to keep up with this movement. Those who do not update themselves risk becoming irrelevant in a short time.”
