Unveiling the Future: 6 AI-Centric Trends to Define 2024

Drawing from a comprehensive survey of IT leaders and experts, this article highlights six pivotal AI-centric trends that will define the generative enterprise in 2024. Explore the promises and intricacies of an AI-integrated future and discover how organizations can seize opportunities and mitigate risks in this rapidly evolving landscape.

AI-Driven Business Models

Explore the commercialization of AI models and the impact on business strategies.

The commercialization of AI models is revolutionizing industries across the board. Organizations are shifting from augmenting their business models with AI predictions to making AI predictions themselves the product. With the ability to make accurate predictions based on historical data, AI-driven business models offer significant opportunities for revenue generation and operational optimization.

According to recent research, a majority of IT organizations are planning to incorporate AI into strategic aspects of their business by the end of 2024. The adoption of AI is expected to positively impact 66% of companies investing in it, compared to only 38% of companies not investing in AI. With 77% of adopters planning to use AI for business analytics and intelligence, and 71% for risk identification and security improvement, AI is set to define business strategy in the coming year.

Autonomized Back Office

Discover how generative AI is automating tasks and transforming IT's role in the back office.

Traditionally, IT has focused on autonomizing business systems to improve efficiency. With generative AI, a wide range of new tasks can be automated, including processing unstructured data, classification, editing, summarization, and content creation. The report reveals that 47% of respondents are eager to adopt new generative AI features, while 37% are cautious and need more information before deciding.

Organizations are increasingly interested in using AI to automate repetitive, low-level tasks. Currently, 33% already use AI for this purpose, and 45% plan to do so by 2024. Interestingly, both adopters and skeptics prioritize task automation over augmenting operational staff in decision-making processes.

Spatial Computing

Explore the integration of spatial computing and its potential to bridge the digital and physical worlds.

Spatial computing is revolutionizing user interactions with digital content, allowing for natural gestures, voice commands, and gaze-based interactions. While mixed reality headsets are gaining attention, organizations are also exploring generative AI interfaces that enable spatial computing applications without the need for headsets.

Research shows that AI adopters are 42% more interested in using generative AI-based interfaces compared to skeptics. While one in five adopters have already invested in mixed reality, the majority are waiting to see if the technology lives up to the hype. However, the data indicates that organizations invested in AI are more likely to be early adopters of mixed reality in the future.

Responsible AI

Learn about the importance of responsible AI and the need for organizations to adopt ethical frameworks.

As AI continues to advance, concerns about its potential misuse and ethical implications are growing. Organizations need to proactively adopt responsible AI frameworks to mitigate risks and ensure compliance with future regulations. According to the Future of IT survey, one in three AI adopters believe that the CIO should be responsible for AI governance.

While lawmakers are still catching up with AI advancements, organizations can take the lead in implementing responsible AI practices. By doing so, they can protect against potential misuse, manipulation, and threats to data privacy and security.

Security By Design

Understand the importance of integrating security measures from the start to protect against AI-related threats.

In the AI era, security measures must be integrated from the inception of software development. By anticipating vulnerabilities and implementing robust defenses, organizations can ensure that their AI systems are intrinsically secure. The majority of organizations plan to increase their cybersecurity budgets in 2024, with a focus on security awareness and training for staff.

AI brings new threat vectors, and without addressing the problem at its root, enterprises will continue to invest more resources into cybersecurity. Adopters prioritize internal security awareness and training, while skeptics prioritize third-party services such as intrusion detection.

Digital Sovereignty

Discover the importance of digital sovereignty and protecting data rights in the age of generative AI.

As generative AI technologies scrape the web to compile massive datasets, questions arise about who truly owns and controls that data. Organizations are increasingly concerned about protecting their data and digital identity, leading to the development of infrastructure and protections that preserve digital sovereignty.

While lawmakers work to catch up with the capabilities of generative AI, organizations can take proactive steps to safeguard their data and prevent third-party AIs from training on their proprietary information. By prioritizing digital sovereignty, organizations can maintain control over their data and ensure its responsible use.


In conclusion, the Tech Trends 2024 report highlights six pivotal AI-centric trends that will shape the generative enterprise in the coming year. From AI-driven business models to spatial computing and responsible AI, organizations have the opportunity to harness the power of AI for strategic advantage. However, it is crucial to adopt ethical frameworks, prioritize cybersecurity, and protect digital sovereignty to navigate the complexities and risks associated with AI integration.


What industries will be impacted by AI-driven business models?

AI-driven business models will impact industries across the board, including government, professional services, manufacturing, education, healthcare, financial services, telecom, and the retail sector.

What are the top priorities for cybersecurity investment?

For AI adopters, the top priority for cybersecurity investment is security awareness and training for their own staff. Skeptics prioritize third-party services such as 24/7 intrusion detection.

How can organizations protect their data and digital identity?

To protect their data and digital identity, organizations can prioritize digital sovereignty by implementing infrastructure and protections that prevent third-party AIs from training on their proprietary information.