TALKING POINT
APPETITE FOR AI CONTINUES, BUT JUSTIFYING THE INVESTMENT HAS BECOME MANDATORY
For the past two years, Artificial Intelligence has been treated as inevitable. Not adopting seemed riskier than any investment. Companies rushed to experiment, launching pilots and proofs of concept driven by the rapid evolution of technologies such as generative models and intelligent automation. The feeling was one of urgency. But now, this is changing. AI remains a priority and is moving toward scaled adoption, yet enthusiasm has given way to a new discomfort: what real financial return does it deliver?
The risks of AI are becoming more visible, and the question of whether it is worth paying for it is intensified by tightening budgets. This shift reveals a clear tension. On one hand, there is the promise of productivity, automation and efficiency. On the other, there is difficulty in turning promise into measurable impact. Many experimental initiatives remained within technology teams and failed to influence financial outcomes.
This explains why appetite has not declined but has become selective. Investment decisions now extend beyond technology leaders to finance, operations and business executives. AI is now an economic agenda, requiring clarity on risks, gains and timing.
As a result, organizations favor pragmatic initiatives over sweeping transformation. The focus is not on changing everything, but on targeted automation that directly improves productivity, efficiency and ultimately financial performance. These efforts prioritize areas where impact is easier to measure, such as reducing labor hours, increasing conversion or accelerating administrative processes.
This is evident in back-office automation, where document analysis, classification and system updates are streamlined by AI agents. What were once hidden bottlenecks now generate visible gains. Similarly,
Adriano Patrão, CEO, Lucent Minds
in commercial functions, AI qualifies leads, prepares account insights and recommends next actions, directly influencing conversion rates and sales cycles.
Internally, AI assistants trained on corporate knowledge answer employee questions, reduce reliance on support teams and accelerate access to information, improving organizational flow. Faster processes consistently translate into financial return.
These initiatives may appear less spectacular, but they are more decisive and measurable. The shift is not only about use cases but about mindset. AI is evolving from an IT expense into a performance investment.
This transition also changes how risk is distributed. Previously, vendors were paid for delivery regardless of outcomes. Now, companies seek partners willing to share risk, linking compensation to measurable results.
Ultimately, what we are witnessing is not just AI maturity, but market maturity. For AI to retain trust, it must move beyond being an infrastructure cost and clearly contribute to savings or efficiency gains.
As adoption evolves, enthusiasm gives way to accountability. AI initiatives are no longer judged by promise alone but by tangible results, ensuring the technology becomes embedded in business performance.
In this next phase, success will depend on disciplined execution, clear metrics and continuous optimization. Organizations that align AI with business value will capture sustainable advantage, while others risk stagnation despite early experimentation efforts and significant investment commitments already made. •
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INTELLIGENT CIO LATAM www. intelligentcio. com