What’s Driving the Hype Cycle for Generative AI, 2024

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What is the Hype Cycle for Generative AI (GenAI)?

The GenAI Hype Cycle is Gartner’s graphical representation of the maturity, adoption metrics and business impact of GenAI technologies. It helps CIOs and other IT leaders identify GenAI innovations they can exploit, according to their appetite for risk in pursuit of potential rewards.

Hype Cycle for Generative AI, 2024

The Hype Cycle for GenAI features innovations worth considering

When it comes to generative AI, hype abounds — as does the rapid evolution of the technologies and techniques that support GenAI. We predict that by 2026, more than 80% of enterprises will have used generative AI APIs or models, and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023.

Define Your AI Ambitions With the AI Opportunity Radar
The AI Opportunity Radar

Four key areas for investment dictate the Hype Cycle for GenAI

The core technologies in the GenAI landscape fall into four main categories: GenAI models, AI engineering tools, applications and use cases, and enablement techniques and infrastructure.

  • GenAI Hype Cycle Area No. 1: GenAI models: Pretrained AI models are evolving to become multimodal and are being instruction-trained to be conversational.
  • GenAI Hype Cycle Area No. 2: AI engineering tools: A growing ecosystem of GenAI tools and techniques enables organizations to build, govern and customize GenAI applications.

Read about the other 2 areas and explore the groundbreaking innovations within each category

Additional insights to drive stronger performance:

What Generative AI Means for Business

Get the executive’s guide to understanding GenAI trends and technologies, piloting GenAI initiatives and scoping what lies ahead.

GenAI Framework

Get AI Ready — What IT Leaders Need to Know and Do

Ready your enterprise to capture AI opportunities and bolster your cybersecurity, data and AI policies and principles.

Generative AI Deployment Approaches

When Not to Use Generative AI

In this episode, Gartner Senior Director Analyst Leinar Ramos , explains that generative AI is not the silver bullet it’s often made out to be.

When Not to Use Generative AI


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Chris Young

Founder of Authentifi AI | 2X Tech Founder | Authentifi AI protects human IP while working with AI

2mo

Gartner Dream BIG, but think SMALL! SLMs and Small-Med-Enterprises—90% of businesses worldwide, driving 70% of global employment and GDP. Imagine every SME with its own on-prem SLM: tailored to their needs, private, secure, and efficient. No SaaS dependencies, no bloat—just lightweight, task-specific models that get the job done. This is about empowering the businesses that power the world. Making AI accessible, affordable, and practical for the real economy. Where would this fit on the Hype Cycle 2024? Perhaps it bypasses the hype altogether, delivering immediate value to those who need it most. Ganesh Iyyer

Generative AI is not just a trend; it’s a catalyst for reshaping the future of work. At Relevancy Shift, we see this as more than just a technological leap; it's an opportunity for businesses to rethink workflows, upskill their teams, and embrace a new era of creativity and productivity. The real power of generative AI lies in how it empowers individuals to focus on higher-value tasks by automating the mundane. However, with great potential comes the responsibility of preparing the workforce for these changes. Let’s make this hype cycle about action equipping people with the skills and strategies to thrive in a world where AI and human ingenuity work hand-in-hand

John Gravanis

Improving profits of commercial spaces for owners and brokers.

3mo

Gartner's 2024 Hype Cycle predicts that by 2026, over 80% of enterprises will have integrated generative AI into their operations. However, to truly harness AI's potential, businesses should also focus on Large Quantitative Models (LQMs), which combine scientific equations with simulations to predict complex system behaviors. By leveraging both generative AI and LQMs, organizations can drive innovation and gain a competitive edge. It is encouraging to hear the prediction that by 2026, over 80% of enterprises will have integrated generative AI into their operations. One can only hope for a large segment of the enterprise space to push their AI initiatives and explore Large Quantitative Models (LQMs), combining scientific equations with simulations to predict complex system behaviors. What do you think about GenAI going the B2B route through the enterprise?

Jana Tarr

Waitress at Iron Skillet

3mo

Great advice

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