Explore the artificial intelligence trends from 2024 to 2028

According to the report “Artificial Intelligence Market Size & Trends” by Gartner, the global AI market is projected to grow at an impressive rate of 37% annually from 2024 to 2028. Furthermore, the latest “78 Artificial Intelligence Statistics and Trends for 2024” report by the World Economic Forum predicts that AI will contribute up to $15.7 trillion to the global economy by 2028.

With this explosive growth, artificial intelligence trends are reshaping the entire future of business and society. This article provides a comprehensive overview.

1. Overview of generative AI trends

Generative AI is emerging as one of the most groundbreaking fields, unlocking numerous new opportunities for businesses. Below are some key aspects of this technology:

1.1 What is generative AI?

Generative AI is a prominent branch of artificial intelligence applications. This technology can generate entirely new content, including text, images, videos, and even programming code, based on initial input data. Notable tools like OpenAI's ChatGPT or DALL-E have demonstrated exceptional capabilities in creating written content, unique designs, or high-quality video simulations.

The growth of Generative AI has been truly remarkable. Over the past five years, leading tech companies like Google and Microsoft have invested billions of dollars in researching and developing applications of this technology, making it a globally captivating field.

Generative AI can create entirely new content based on initial input data

1.2 Why generative AI leads artificial intelligence trends

The report “Beyond ChatGPT: The Future of Generative AI for Enterprises” from Gartner predicts that by 2028, Generative AI could contribute up to 10% of the global GDP, equivalent to trillions of dollars. This technology's appeal lies in its wide-ranging applications and extraordinary potential for improvement across many industries.

Major corporations like Google and Microsoft are leading the trend by heavily investing in generative AI platforms. For instance, OpenAI's partnership with Microsoft has integrated AI tools into business products like Microsoft Office, revolutionizing office efficiency.

1.3 Practical applications of generative AI

Generative AI is no longer confined to research labs; it has rapidly entered practical life and business:

• In creative industries: Generative AI supports businesses in producing articles, graphic designs, or video editing automatically, significantly saving time and resources.
• In business operations: This artificial intelligence trend is being used to create intelligent chatbots for customer service and to process big data efficiently, offering companies a competitive advantage.

2. AI in business automation systems

Business automation is another field where artificial intelligence has a profound impact. Integrating AI into automation processes helps businesses optimize performance and significantly reduce operational costs.

2.1 What is business automation?

Business automation is the process of using technology to perform repetitive tasks, minimizing human intervention to enhance productivity and reduce operational costs.

2.2 How AI drives business automation

AI is redefining how businesses operate through advanced applications. How exactly does AI support automation?

AI integrated into systems like ERP (Enterprise Resource Planning) enables more efficient process management while optimizing supply chains and providing detailed customer data analysis. In the retail industry, AI can analyze shopping behaviors to offer suitable product recommendations, enhancing customer experiences.

AI is contributing to driving business automation, enhancing productivity, and reducing operational costs

2.3 Increasing investment trends in AI for automation

Experts suggest that investing in AI for automation is not just a trend but a requirement. Gartner predicts that by 2028, businesses will allocate 25% more budget for artificial intelligence applications in automation. Specifically, industries such as manufacturing, logistics, and finance are at the forefront of adopting this technology to improve operational efficiency.

>>> Read more: What is AI? The role of different types of artificial intelligence in the era of industry 4.0

3. Challenges in AI development

Despite offering numerous outstanding benefits, AI technology development also faces significant challenges. Concerns about social impacts and ethical issues are notable obstacles that need to be addressed.

3.1 Major challenges for artificial intelligence

While AI holds tremendous potential, it also raises several concerns, including:

• Job displacement risks: Certain sectors face risks of being replaced by AI, especially in repetitive jobs.
• Data security issues: As AI becomes deeply integrated into large systems, the risk of data breaches and privacy violations rises.

Despite its numerous outstanding benefits, artificial intelligence still faces potential challenges

3.2 Ethics and standards for AI development

One critical solution to overcome these challenges is establishing ethical standards. According to the article “Why Artificial Intelligence Design Must Prioritize Data Privacy” from the World Economic Forum, ensuring sustainable AI application development requires strict ethical standards and legal frameworks to protect user privacy and data. This foundation enables businesses to use AI responsibly and prevents misuse of technology.

>>> Read more: The Perception Gap: Why AI Shouldn't Scare SMEs

4. Conclusion

Artificial intelligence trends represent both a technological revolution and a key factor shaping future business landscapes. From content creation and business process automation to ethical and security challenges, AI opens up endless opportunities while carrying significant responsibilities. Hence, from 2024 to 2028, artificial intelligence will be a critical key for businesses to enter a comprehensive digital era, expanding creative capabilities and optimizing operations.