Gartner Identifies the Top 10 Strategic Technology Trends for 2024

Gartner, Inc. today announced its list of 10 top strategic technology trends that organizations need to explore in 2024.

Bart Willemsen, VP Analyst at Gartner said: “Technology disruptions and socioeconomic uncertainties require willingness to act boldly and strategically enhance resilience over ad hoc responses.

“IT leaders are in a unique position to strategically lay down a roadmap where technology investments help their business's sustenance of success amidst these uncertainties and pressures.”

The top strategic technology trends for 2024 are:

Democratized Generative AI

Generative AI (GenAI) is becoming democratized by the confluence of massively pretrained models, cloud computing and open source, making these models accessible to workers worldwide.

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By 2026, Gartner predicts that over 80% of enterprises will have used GenAI APIs and models and/or deployed GenAI-enabled applications in production environments, up from less than 5% early 2023.

AI Trust, Risk and Security Management

The democratization of access to AI has made the need for AI Trust, Risk and Security Management (TRiSM) even more urgent and clear.

Without guardrails, AI models can rapidly generate compounding negative effects that spin out of control, overshadowing any positive performance and societal gains that AI enables.

Gartner predicts that by 2026, enterprises that apply AI TRiSM controls will increase the accuracy of their decision making by eliminating up to 80% of faulty and illegitimate information.

AI-Augmented Development

AI-augmented development is the use of AI technologies, such as GenAI and machine learning, to aid software engineers in designing, coding and testing applications.

AI-assisted software engineering improves developer productivity and enables development teams to address the increasing demand for software to run the business.

Intelligent Applications

Intelligent applications include intelligence — which Gartner defines as learned adaptation to respond appropriately and autonomously — as a capability.

This intelligence can be utilized in many use cases to better augment or automate work. As a foundational capability, intelligence in applications comprises various AI-based services, such as machine learning, vector stores and connected data.

Augmented-Connected Workforce

The augmented-connected workforce (ACWF) is a strategy for optimizing the value derived from human workers. The need to accelerate and scale talent is driving the ACWF trend.

The ACWF uses intelligent applications and workforce analytics to provide everyday context and guidance to support the workforce’s experience, well-being, and ability to develop its own skills. At the same time, the ACWF drives business results and positive impact for key stakeholders. 

Through 2027, 25% of CIOs will use augmented-connected workforce initiatives to reduce time to competency by 50% for key roles.

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