In 2023, global investment in generative artificial intelligence reached $25.2 billion, marking an almost 800% increase compared to 2022, according to the AI Index Report 2024 from Stanford University.
This surge positions generative AI as one of the most transformative technologies of our era, with major companies like OpenAI, Anthropic, and Hugging Face receiving significant capital injections to further their development and global impact.
In Mexico, interest in AI is rising, particularly among startups embracing early adoption. Franco Palacios, CEO of Creai, a Mexican firm focused on AI solutions, notes that this technology is blurring the lines between developed and emerging markets.
“The democratization of artificial intelligence is leveling the playing field between developed and emerging economies. Today, with reduced budgets, companies can develop highly efficient products and generate real value. This is a historic moment for innovation in Latin America,” says Palacios.
The transformative capacity of generative AI is based on three key aspects: lower operational costs, greater model accuracy, and open access to advanced tools. This has enabled technologies once reserved for large corporations to now be available for medium and small enterprises, boosting adoption in markets like Mexico.
Generative AI has made significant strides in fields such as natural language processing, achieving unprecedented accuracy levels. These advancements are facilitating automation and the analysis of complex data, providing companies with notable competitive advantages.
Creai, for example, has experienced a 20-fold growth in just one year, thanks to its focus on personalized solutions that meet both operational needs and user expectations.
In sectors like logistics, AI is addressing long-standing efficiency challenges. From automating supply chains to implementing smart cameras for product damage detection, companies are optimizing their operations.
In retail, AI technologies are revolutionizing inventory management, anticipating demand, and enhancing customer experience through seamless integration of physical and digital channels.
In the financial sector, private AI models offer a balance between security and regulatory compliance, streamlining processes and optimizing data analysis.