Webinaire à la demande

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

Par :

Directeur principal et analyste principal

Webinar originally recorded on 03/31/2026

Regardez ce webinaire maintenant ou plus tard en vous inscrivant ci-dessus !

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 this session, we explore:

  • 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.

A noter :

  • Une copie des diapositives de la présentation et de l'enregistrement du webinaire sera envoyée à toutes les personnes inscrites après le webinaire.

Merci de votre attention !

Webinaire à la demande

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

Par :

Directeur principal et analyste principal

Regarder le webinaire à la demande

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 this session, we explore:

  • 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.

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