Artificial Intelligence: Global Growth Rate Sounds a Warning
L'artificial intelligence It's advancing at a pace many experts consider unsustainable. Artificial intelligence is no longer just a technological issue, but a strategic one for governments, businesses, and citizens.
Statements by Sam Altman, CEO of OpenAI, have reignited the debate over the speed with which AI systems are evolving. The key question is not just what the technology can do today, but how quickly it might outgrow our ability to regulate it and responsibly integrate it into society.
Artificial Intelligence and Sam Altman's Warning
Sam Altman has become one of the most influential voices in the film landscape.’artificial intelligence Thanks to OpenAI's work on advanced language models and generative systems, his recent statements highlight the risk of underestimating the long-term impact of increasingly powerful technologies.
Altman emphasized that the AI development curve is exponential, not linear. This means that future leaps in capability could arrive much more rapidly than has happened so far, leaving governments and institutions little time to develop adequate regulations. The risk is that the regulatory, cultural, and economic infrastructure will fail to keep pace.
International organizations and research centers, such as those cited by the’reference encyclopedia on artificial intelligence, have been highlighting the need for a cautious and multilateral approach to the topic for years. Altman fits into this line of thinking, but with increasing urgency, given the capabilities now achieved by generative textual, visual, and multimodal models.
AI's unsustainable pace: risks and real challenges
When we talk about unsustainable pace of development of the’artificial intelligence, It's not just about computational capacity or the quality of algorithms. The real challenge lies in the combination of three factors: model power, speed of market adoption, and a lack of clear rules.
From a technical standpoint, the evolution of AI models is linked to the availability of enormous amounts of data, the growth of computing power, and billion-dollar investments by big tech companies. Public reports and industry analyses indicate that the global AI market could exceed hundreds of billions of dollars in the coming years, as reported by studies cited by McKinsey.
The speed of adoption is equally impressive: in just a few months, tools based on generative AI models have been integrated into consumer platforms, enterprise software, and mass-market digital services. This means that millions of people interact daily with increasingly complex systems without fully understanding their operating mechanisms, limitations, and potential biases.
Finally, on the regulatory level, bodies such as the European Union are attempting to define a regulatory framework for the’European AI Act, but the speed of the legislative process is, by nature, slower than that of technological development. The gap between what technology can achieve and what is regulated therefore risks widening rapidly.
Artificial intelligence, ethics and social responsibility
The growth of the’artificial intelligence It raises not only technical or economic questions, but also profound ethical challenges. Who is responsible for the errors made by an AI system? How do we balance innovation with the protection of fundamental rights, such as privacy, transparency, and non-discrimination?
Sam Altman and many other industry leaders emphasize the importance of a responsible approach that integrates ethical and social impact assessments from the early stages of systems development. This involves rigorous testing, independent audits, clear guidelines for use, and human oversight mechanisms for critical decisions.
At the same time, companies must have internal policies for managing the’artificial intelligence, defining what can be automated and what must remain under direct supervision. Transparency towards users, documentation of data sources, and the ability to challenge automated decisions are key elements of a sustainable AI ecosystem.
From Fear to Opportunity: Using AI Strategically
Despite the fears related to the’artificial intelligence, The real risk for many organizations is not only adopting it too quickly, but also ignoring it or integrating it without a strategic vision. AI can become a multiplier of efficiency, creativity, and competitiveness, provided it is embedded in clear processes and governed by measurable objectives.
For companies, this means relying on robust tools, thoroughly understanding use cases, and defining success metrics. In customer service, marketing, sales, and process automation, artificial intelligence can help teams manage large volumes of data and interactions, reducing response times and increasing the quality of communication.
The recommended approach is gradual: start with pilot projects, measure the impact, train internal teams, and only then extend automation. In this scenario, integrating AI with direct and familiar customer communication channels, like WhatsApp, becomes a competitive asset.
Artificial Intelligence: Impact on Marketing and Business
L'artificial intelligence AI is profoundly redefining digital marketing and the way companies manage customer relationships. From advanced audience segmentation to real-time message personalization, AI enables the transition from generic campaigns to highly targeted and contextual communications.
In marketing, AI models analyze large amounts of data from CRMs, web analytics, social media, and messaging platforms to identify behavioral patterns, preferences, and purchase likelihood. This allows for the creation of personalized journeys, automated follow-ups, and optimization of advertising budgets, focusing them on the segments with the highest potential value.
From a customer experience perspective, the’artificial intelligence Enable chatbots, virtual assistants, and automated response systems that can handle requests 24/7 on channels like WhatsApp, email, and the web. This allows companies to ensure rapid response times, consistent messaging, and ongoing support, even with small teams.
In business, AI supports sales forecasting, churn analysis, dynamic pricing, and inventory management. With an integrated approach, data collected from customer interactions through messaging channels is reused to improve offers, products, and services, closing the loop between marketing, sales, and customer service.
How SendApp Can Help with Artificial Intelligence
To transform the’artificial intelligence From a simple technological trend to a concrete growth driver, companies need platforms that integrate automation, data, and direct customer communication. This is where solutions like SendApp become strategic.
With SendApp Official, businesses can connect to WhatsApp's official APIs and build automated, secure, and scalable messaging flows. Integration with artificial intelligence engines allows for the creation of advanced chatbots, contextual auto-replies, and personalized conversational paths, reducing management times and improving customer satisfaction.
SendApp Agent It allows you to organize the work of support and sales teams within a single shared interface. By combining AI-based automation with human intervention, companies can manage large volumes of WhatsApp conversations, assign tickets, monitor performance, and ensure orderly lead management.
For more advanced scenarios, SendApp Cloud offers a flexible cloud infrastructure to orchestrate campaigns, nurturing flows, and automatic notifications at scale. By integrating artificial intelligence and external systems (CRM, e-commerce, ERP), companies can create real marketing automation ecosystems centered on WhatsApp, with trigger logic, segmentation and personalization.
For those who prefer desktop management, it is also available SendApp Desktop, ideal for coordinating communications from fixed workstations, while maintaining all the key features needed to make the most of automation and messaging channels.
If you want to understand how to apply the’artificial intelligence to communicate with your customers via WhatsApp, you can request a dedicated consultation directly from the site SendApp. You can evaluate specific use cases, design customized automated flows, and activate operational trials of the solutions best suited to your business, moving from AI theory to measurable results in your campaigns.
