On-Demand-Webinar

What’s Next for AI in 2026: From LLM Limits to Image Models

von:

Leitender Direktor und Hauptanalyst

Webinar originally recorded on 03/31/2026

Sehen Sie sich dieses Webinar jetzt oder zu einem späteren Zeitpunkt an, indem Sie sich oben registrieren!

AI is entering its next phase — and the economics are getting harder to ignore.

As model performance plateaus and capital spending accelerates toward trillions of dollars, critical questions are emerging:

  • Are AI models becoming commodified?
  • Can hyperscale data center investments deliver acceptable returns?
  • Will business value creation keep pace with infrastructure spending?
  • What happens if efficiency gains reduce compute demand?

 

In dieser Sitzung werden wir uns damit befassen:

  • How AI model development is shifting — from frontier LLM scaling to miniature and world models
  • Why image models may drive the next wave of commercial applications
  • The real economics of AI data center buildout — including GPU life, utilization rates, and pricing sensitivity
  • Four potential futures for AI adoption

 

This webinar provides a grounded, data-driven assessment of where AI is headed by 2026 — and what business leaders, investors, and technology strategists should do now to manage risk while positioning for upside.

Bitte beachten:

  • Eine Kopie der Präsentationsfolien und der Aufzeichnung des Webinars wird allen Teilnehmern nach dem Webinar zugesandt.

Ich danke Ihnen!

On-Demand-Webinar

What’s Next for AI in 2026: From LLM Limits to Image Models

von:

Leitender Direktor und Hauptanalyst

Sehen Sie sich das On-Demand-Webinar an

AI is entering its next phase — and the economics are getting harder to ignore.

As model performance plateaus and capital spending accelerates toward trillions of dollars, critical questions are emerging:

  • Are AI models becoming commodified?
  • Can hyperscale data center investments deliver acceptable returns?
  • Will business value creation keep pace with infrastructure spending?
  • What happens if efficiency gains reduce compute demand?

 

In dieser Sitzung werden wir uns damit befassen:

  • How AI model development is shifting — from frontier LLM scaling to miniature and world models
  • Why image models may drive the next wave of commercial applications
  • The real economics of AI data center buildout — including GPU life, utilization rates, and pricing sensitivity
  • Four potential futures for AI adoption

 

This webinar provides a grounded, data-driven assessment of where AI is headed by 2026 — and what business leaders, investors, and technology strategists should do now to manage risk while positioning for upside.

What do you want to research today?