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Gartner: Emergent AI Will Have a Profound Impact on Business and Society

"The popularity of many new AI techniques will have a profound impact on business and society," said Arun Chandrasekaran, Distinguished VP Analyst at Gartner. "The massive pretraining and scale of AI foundation models, viral adoption of conversational agents and the proliferation of generative AI applications are heralding a new wave of workforce productivity and machine creativity."

Generative artificial intelligence (AI) is positioned on the Peak of Inflated Expectations on the Gartner, Inc. Hype Cycle for Emerging Technologies, 2023, projected to reach transformational benefit within two to five years.

Generative AI is encompassed within the broader theme of emergent AI, a key trend on this Hype Cycle that is creating new opportunities for innovation.

"While all eyes are on AI right now, CIOs and CTOs must also turn their attention to other emerging technologies with transformational potential," said Melissa Davis, VP Analyst at Gartner. "This includes technologies that are enhancing developer experience, driving innovation through the pervasive cloud and delivering human-centric security and privacy."

"As the technologies in this Hype Cycle are still at an early stage, there is significant uncertainty about how they will evolve," added Davis. "Such embryonic technologies present greater risks for deployment, but potentially greater benefits for early adopters."

Four Themes of Emerging Technology Trends

Emergent AI: In addition to generative AI, several other emerging AI techniques offer immense potential for enhancing digital customer experiences, making better business decisions and building sustainable competitive differentiation.

These technologies include:

■ AI simulation

■ Causal AI

■ Federated machine learning

■ Graph data science

■ Neuro-symbolic AI

■ Reinforcement learning

Developer experience (DevX): DevX refers to all aspects of interactions between developers and the tools, platforms, processes and people they work with to develop and deliver software products and services. Enhancing DevX is critical for most enterprises' digital initiative success. It is also vital for attracting and retaining top engineering talent, keeping team morale high and ensuring that work is motivating and rewarding.

Key technologies that are enhancing DevX include:

■ AI-augmented software engineering

■ API-centric SaaS

■ GitOps

■ Internal developer portals

■ Open-source program office

■ Value stream management platforms.

Pervasive cloud: Over the next 10 years, cloud computing will evolve from a technology innovation platform to become pervasive and an essential driver of business innovation. To enable this pervasive adoption, cloud computing is becoming more distributed and will be focused on vertical industries. Maximizing value from cloud investments will require automated operational scaling, access to cloud-native platform tools and adequate governance.

Key technologies enabling the pervasive cloud include:

■ Augmented FinOps

■ Cloud development environments

■ Cloud sustainability

■ Cloud-native

■ Cloud-out to edge

■ Industry cloud platforms

■ WebAssembly (Wasm)

Human-centric security and privacy: Humans remain the chief cause of security incidents and data breaches. Organizations can become resilient by implementing a human-centric security and privacy program, which weaves a security and privacy fabric into the organization's digital design. Numerous emerging technologies are enabling enterprises to create a culture of mutual trust and awareness of shared risks in decision making between many teams.

Key technologies supporting the expansion of human-centric security and privacy include:

■ AI TRISM

■ Cybersecurity mesh architecture

■ Generative cybersecurity AI

■ Homomorphic encryption

■ Postquantum cryptography

The Hype Cycle for Emerging Technologies is unique among Gartner Hype Cycles because it distills key insights from more than 2,000 technologies and applied frameworks that Gartner profiles each year into a succinct set of "must-know" emerging technologies. These technologies have potential to deliver transformational benefits over the next two to 10 years.

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Gartner: Emergent AI Will Have a Profound Impact on Business and Society

"The popularity of many new AI techniques will have a profound impact on business and society," said Arun Chandrasekaran, Distinguished VP Analyst at Gartner. "The massive pretraining and scale of AI foundation models, viral adoption of conversational agents and the proliferation of generative AI applications are heralding a new wave of workforce productivity and machine creativity."

Generative artificial intelligence (AI) is positioned on the Peak of Inflated Expectations on the Gartner, Inc. Hype Cycle for Emerging Technologies, 2023, projected to reach transformational benefit within two to five years.

Generative AI is encompassed within the broader theme of emergent AI, a key trend on this Hype Cycle that is creating new opportunities for innovation.

"While all eyes are on AI right now, CIOs and CTOs must also turn their attention to other emerging technologies with transformational potential," said Melissa Davis, VP Analyst at Gartner. "This includes technologies that are enhancing developer experience, driving innovation through the pervasive cloud and delivering human-centric security and privacy."

"As the technologies in this Hype Cycle are still at an early stage, there is significant uncertainty about how they will evolve," added Davis. "Such embryonic technologies present greater risks for deployment, but potentially greater benefits for early adopters."

Four Themes of Emerging Technology Trends

Emergent AI: In addition to generative AI, several other emerging AI techniques offer immense potential for enhancing digital customer experiences, making better business decisions and building sustainable competitive differentiation.

These technologies include:

■ AI simulation

■ Causal AI

■ Federated machine learning

■ Graph data science

■ Neuro-symbolic AI

■ Reinforcement learning

Developer experience (DevX): DevX refers to all aspects of interactions between developers and the tools, platforms, processes and people they work with to develop and deliver software products and services. Enhancing DevX is critical for most enterprises' digital initiative success. It is also vital for attracting and retaining top engineering talent, keeping team morale high and ensuring that work is motivating and rewarding.

Key technologies that are enhancing DevX include:

■ AI-augmented software engineering

■ API-centric SaaS

■ GitOps

■ Internal developer portals

■ Open-source program office

■ Value stream management platforms.

Pervasive cloud: Over the next 10 years, cloud computing will evolve from a technology innovation platform to become pervasive and an essential driver of business innovation. To enable this pervasive adoption, cloud computing is becoming more distributed and will be focused on vertical industries. Maximizing value from cloud investments will require automated operational scaling, access to cloud-native platform tools and adequate governance.

Key technologies enabling the pervasive cloud include:

■ Augmented FinOps

■ Cloud development environments

■ Cloud sustainability

■ Cloud-native

■ Cloud-out to edge

■ Industry cloud platforms

■ WebAssembly (Wasm)

Human-centric security and privacy: Humans remain the chief cause of security incidents and data breaches. Organizations can become resilient by implementing a human-centric security and privacy program, which weaves a security and privacy fabric into the organization's digital design. Numerous emerging technologies are enabling enterprises to create a culture of mutual trust and awareness of shared risks in decision making between many teams.

Key technologies supporting the expansion of human-centric security and privacy include:

■ AI TRISM

■ Cybersecurity mesh architecture

■ Generative cybersecurity AI

■ Homomorphic encryption

■ Postquantum cryptography

The Hype Cycle for Emerging Technologies is unique among Gartner Hype Cycles because it distills key insights from more than 2,000 technologies and applied frameworks that Gartner profiles each year into a succinct set of "must-know" emerging technologies. These technologies have potential to deliver transformational benefits over the next two to 10 years.

The Latest

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...

Despite the frustrations, every engineer we spoke with ultimately affirmed the value and power of OpenTelemetry. The "sucks" moments are often the flip side of its greatest strengths ... Part 2 of this blog covers the powerful advantages and breakthroughs — the "OTel Rocks" moments ...

OpenTelemetry (OTel) arrived with a grand promise: a unified, vendor-neutral standard for observability data (traces, metrics, logs) that would free engineers from vendor lock-in and provide deeper insights into complex systems ... No powerful technology comes without its challenges, and OpenTelemetry is no exception. The engineers we spoke with were frank about the friction points they've encountered ...

Enterprises are turning to AI-powered software platforms to make IT management more intelligent and ensure their systems and technology meet business needs for efficiency, lowers costs and innovation, according to new research from Information Services Group ...

The power of Kubernetes lies in its ability to orchestrate containerized applications with unparalleled efficiency. Yet, this power comes at a cost: the dynamic, distributed, and ephemeral nature of its architecture creates a monitoring challenge akin to tracking a constantly shifting, interconnected network of fleeting entities ... Due to the dynamic and complex nature of Kubernetes, monitoring poses a substantial challenge for DevOps and platform engineers. Here are the primary obstacles ...