Graphics programming tomorrow - are humans still needed? Will AI take graphics programmers jobs?

AI is it a threat or a help? Discussing the pros and cons of AI in the world of graphics programming - also the shift as we move towards real-time ray-tracing and realistic interactive virtual worlds (look and behave the same as the real-world).

1. xbdev.net
AI and the Futureof Graphics
Programming
Exploring the Impact of AI on Graphics Programming

2. xbdev.net
Introduction
•Explore how AI is transforming
graphics programming.
•Examine state-of-the-art ray tracing
techniques.
•Understand why human creativity
remains essential.
Look at the changes programmers are going to have to accept –not just any programmers, but
graphics programmers
Is AI a Programmers Friend?

3. xbdev.net
Will AI Replace Graphics
Programmers?

4. xbdev.net
Why AI Will Replace Graphics Programmers
•Automation of Shader& Rendering
Code -Generates optimized shader
code.
•Procedural Content Generation -
Automates textures, lighting, and
models.
•Neural Rendering & AI Upscaling -
Reduces manual optimization (e.g.,
DLSS).

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Why AI Will Replace Graphics Programmers
(continued)
•AI-Driven Material & Lighting Models -Simulates realistic materials.
•Optimization & Performance Tuning -Automates hardware-specific
optimizations.

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How Programming Graphics
Will Change

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How Programming Graphics Will Change
•Less Low-Level Programming -Shiftto high-level AI-driven pipelines.
•AI-Assisted Ray Tracing -Uses AI for denoisingand sampling.
•Adaptive Rendering -Dynamically adjusts scene complexity.
AI Will Be A New Tool

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How Programming Graphics Will Change
(continued)
•Generative Art & Assets -Automates asset creation.
•AI-Augmented Game Engines -Integrates AI for lighting, physics, etc.

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Ray Tracing & State of the Art

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Ray Tracing & State of the Art
•Current Techniques -Real-time ray tracing (RTX, path tracing, etc.).
•AI in Ray Tracing -Uses AI for noise reduction and global illumination.
•Performance vs. Quality -Achieves photorealism at lower cost.

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Ray Tracing & State of the Art (continued)
•Emerging Research -Deep learning models predict light transport.

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Future of Graphics
Programming in the AI Era

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Future of Graphics Programming in the AI Era
•AI as a Co-Developer -Assists in writing efficient rendering code.
•Hybrid Approaches -Merges AI with traditional algorithms.
•Less Need for Manual Optimization -Dynamically handles
bottlenecks.

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Future of Graphics Programming in the AI Era
(continued)
•Higher Abstraction Levels -Focus on scene logic rather than low-level
code.
•New Career Paths -Transition to AI-enhanced workflows.

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Why Graphics Programmers
Are Still Indispensable

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Why Graphics Programmers Are Still
Indispensable
•Creative Problem-Solving & Innovation -AI cannot invent new
techniques.
•Optimization for Unique Scenarios -Custom solutions for edge cases.
•Understanding Artistic Vision -Intuition for aesthetics remains
human.

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Why Graphics Programmers Are Still
Indispensable (continued)
•Debugging & Troubleshooting -Human oversight is required.
•Hardware-Specific Adaptations -Ensuring cross-platform
performance.
•Pushing Boundaries -Humans drive breakthroughs beyond existing
data.

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Summary
•AI is automatingmany aspects of graphics
programming.
•Techniques like ray tracing are enhanced by
AI, improving quality and performance.
•Yet, humancreativity, debugging, and
innovation remain indispensable.