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.

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How AI Agents Are Reshaping DataOps for the Always-On Enterprise

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

AI Deepfakes: Rethinking Trust in the Workplace

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Nine in Ten Enterprises Plan Cloud Data Repatriation amid Rising Cloud Costs and Data Sovereignty Mandates

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Why ITOps Need Right-Sized AI, Not Bigger Models

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

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For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

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