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AI has reached companies. Results have yet to follow.

How work is divided today, how far AI has come in Brazil and worldwide, and why so few companies see results.

01 · Productivity

A lot of talent stuck in repetitive tasks.

Does this happen at your company?

  • The same data typed into two systems.
  • The weekly report put together by hand.
  • Orders checked item by item.
  • Questions only one person knows how to answer.
  • Emails waiting for someone to have time.

How the workday is divided

58%Work about worksearching for information, switching systems, updating status≈ 4 h 38 min of an 8-hour day
33%Skilled workwhat the person was hired to do≈ 2 h 38 min
9%Strategic workplanning, deciding and improving the business≈ 43 min

Asana, Anatomy of Work Index 2023 · 9,615 knowledge workers · hours calculated for an 8-hour day

02 · AI adoption

AI has reached companies of every size.

In Brazil and worldwide, use is growing fast. Companies that have not started yet already compete for market share with those that have.

41.9%

of Brazilian manufacturers use AI. In 2022, it was 16.9%: up 2.5 times in two years.

2022
2024

IBGE, PINTEC Semestral · Brazilian manufacturers with 100 or more employees

50%

of large Brazilian companies already use AI. Among mid-sized companies, 32%. Among small ones, 15%.

Small
Medium
Large

Cetic.br, TIC Empresas 2025 · Brazilian companies with 10 or more employees

52%

of Brazilian small business owners used AI in the two weeks before the survey.

Sebrae and Meta Instituto de Pesquisa, 2026 · 7,182 respondents

40%

of large companies worldwide are already scaling AI agents. A year earlier, it was 27%.

McKinsey, The State of AI 2026 · 1,719 respondents · companies with revenue above US$ 1 billion

The question is no longer whether your company will use AI. Now it is how.

03 · Results gap

Almost all test it. Few see results.

Most stall between testing and results: standalone tools, with no owner, no measurement and no connection to the systems.

5%

of generative AI pilots accelerate revenue. The vast majority stall with no measurable impact on results.

MIT NANDA, The GenAI Divide, 2025 · more than 300 initiatives analyzed

40%+

of agentic AI projects may be canceled by 2027, due to high costs, unclear value and lack of risk control.

Gartner, 2025

60%

of companies report minimal revenue and cost gains from AI.

BCG, The Widening AI Value Gap, 2025 · 1,250 executives

The problem is not the technology. It is using AI without a method.