Generative artificial intelligence: from technological experiment to business infrastructure
The new stage of artificial intelligence in companies.
In recent months, the artificial, generative intelligence has begun to be consolidated as a key technology infrastructure within organisations.
What was initially perceived as an experimental tool to generate texts, images or code is evolving into a platform that allows automate processes, optimize decisions and redesign operating models.
Companies in multiple sectors are incorporating these technologies in areas such as customer care, marketing, data analysis and software development. The result is a gradual transformation of the way organizations produce, manage information and make decisions.
Recent reports from McKinsey and Deloitte indicate that generative artificial intelligence could generate billions of dollars in global economic value in the next decade, promoting a new phase of digital transformation.
From pilot projects to operational integration
In the first stage, many companies adopted the artificial, generative intelligence through internal experiments and tests. Technology teams explored their capacities through pilot projects aimed at improving productivity or reducing costs in specific tasks.
However, recent market developments show a significant change: technology is beginning to be integrated into Central operating processes.
The main applications include:
- Automation of customer care through intelligent assistants.
- Content generation and marketing campaign optimization.
- Development of software assisted by artificial intelligence.
- Advanced data analysis for decision-making.
- Optimization of internal processes.
This transition marks the step of technological experimentation towards a model in which artificial intelligence works as a cross-border digital infrastructure.
A global technological career
The advance of artificial intelligence is also driving a international technological competence.
The United States maintains a dominant position thanks to its technological ecosystem and the investment of large companies in artificial intelligence infrastructure. At the same time, China and the European Union have accelerated their investments in data centres, semiconductors and development of advanced models.
Global competition is concentrated in three key areas:
- Development of large-scale artificial intelligence models.
- Advanced computing infrastructure.
- Access to large volumes of data.
In this context, artificial intelligence is becoming a strategic assets for both companies and national economies.
Regulation and technology governance
As artificial intelligence is integrated into business processes, the interest of regulators in establishing policy frameworks is also growing.
The European Union has made progress in developing the AI Act, one of the first regulatory frameworks to establish standards of transparency, safety and risk control in artificial intelligence systems.
Other countries are evaluating similar regulations, especially in areas related to:
- Use of data.
- Algoritmic sessions.
- Responsibility for automated decisions.
- Labour impact of automation.
For companies, regulatory development becomes a key factor in defining technology adoption strategies.
Strategic implications for enterprises
Generative artificial intelligence offers relevant opportunities to improve productivity and competitiveness, but its impact will depend to a large extent on how companies integrate technology into their business models.
The organizations that can capture the most value will be those that can combine technological innovation with organizational transformation.
This involves developing new capacities in:
- Data analysis.
- Process automation.
- Technology management.
- Specialized talent training.
At the same time, companies should manage risks associated with the adoption of artificial intelligence, including technology dependence, data security and regulatory compliance.
Perspective for Latin America
In Latin America, the adoption of artificial generative intelligence is still at an early stage, although some sectors are already exploring its potential.
Banking companies, retail, telecommunications and logistics are incorporating artificial intelligence tools to improve operational efficiency and analytical capacity.
The main regional challenge relates to the availability of technological infrastructure and specialized talent. However, the integration of these tools also represents an opportunity for modernising productive sectors and improving productivity.
A transformation that just begins
Generative artificial intelligence is redefining the role of technology within companies. More than a point tool, it begins to consolidate as a strategic platform capable of transforming business processes and models.
In this scenario, understanding global technological trends and anticipating their impact on the different production sectors will be increasingly relevant to organizations.
In Vipzus we accompany companies in key productive sectors to identify opportunities, strengthen their positioning and design growth strategies in increasingly competitive markets.
