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3 Skills That Will Matter More in the Age of AI

An engineering program owner argues that foundational human skills like writing and speaking will become even more critical for engineers in an AI-augmented workforce, rather than less.

By Brian Jenney·Sep 23·spectrum.ieee.org·3 min read

Intelligence analysis by Gemini 2.5 Flash

3 Skills That Will Matter More in the Age of AI
Image: spectrum.ieee.org

The article posits that AI acts as a powerful multiplier for skilled professionals, but without strong foundational human abilities, its output can be 'slop.' It emphasizes that clear communication and independent thought are essential differentiators in an AI-driven world.

Why it matters

For robotics, where AI is increasingly integrated into design, development, and operation, these skills are paramount. Robotics engineers will need to articulate complex ideas to AI models and collaborate effectively with human teams, making strong communication and critical thinking vital for innovation and avoiding AI-generated mediocrity.

Imagine you have a super-smart robot helper. Even though the robot is clever, you still need to be really good at telling it exactly what you want (that's like writing clearly) and talking to other people about your ideas (that's like speaking well). If you're not good at these things, your robot helper might just make a mess, because it's a tool, and you're the boss with the big ideas!

Analysis

Brian Jenney

Brian Jenney, the owner of Parsity, offers a compelling perspective on the future of engineering skills, drawing from his experience as both an educator and a parent. He views artificial intelligence not as a replacement for human intellect but as a potent multiplier, capable of accelerating the work of already skilled professionals. Jenney's concern for his children's future careers underscores a broader anxiety within the professional world about how to best prepare for an AI-augmented workforce.

His insights suggest that while AI can enhance productivity, it cannot compensate for a lack of foundational knowledge or critical thinking. This perspective is crucial for understanding the evolving demands on engineers, particularly in fields like robotics where AI tools are becoming ubiquitous. The emphasis shifts from merely knowing how to use AI to knowing how to think critically and communicate effectively alongside it.

Parsity

Jenney's company, Parsity, focuses on providing hands-on training for engineers, a methodology that aligns perfectly with his argument for developing core human skills. The practical, experiential learning offered by Parsity likely aims to cultivate the very abilities—such as clear articulation and independent problem-solving—that he identifies as increasingly valuable. This approach suggests a recognition that theoretical knowledge alone is insufficient in an era where AI can rapidly process information.

By emphasizing hands-on training, Parsity helps engineers develop a deeper understanding and the ability to apply their knowledge creatively, rather than just relying on AI for superficial solutions. This practical grounding is essential for engineers to leverage AI as a tool for genuine innovation, ensuring that their work remains original and impactful. The program implicitly prepares individuals to guide AI effectively, rather than being guided by it.

GPT

The article highlights the pervasive influence of AI models like GPT, noting how they can lead to a homogenization of communication and thought. Jenney observes that inboxes are filled with suspiciously identical emails and academic papers that sound as if they were all written by the same 'person' named GPT. This phenomenon, which he terms 'slop,' underscores the critical need for individuals to cultivate a distinct voice and original ideas.

When everyone has access to the same AI tools, the ability to clearly articulate one's own thoughts and opinions becomes a significant differentiator. Strong writing skills, in particular, are framed as more important than ever, not only for effective communication with AI models but also for the fundamental process of developing unique ideas. The challenge posed by GPT-like outputs reinforces the value of human creativity and the capacity for genuine, individual expression in a world saturated with AI-generated content.

Key points

  • AI acts as a multiplier for skilled professionals, not a substitute for foundational knowledge.
  • Strong writing skills are increasingly important for clear communication with AI models and developing original ideas.
  • Effective speaking skills are at a premium due to increased digital isolation and renewed interest in in-person interaction.
  • Without foundational human skills, AI tools can lead to 'slop' or unoriginal, undifferentiated output.
  • Cultivating a distinct human voice and independent thought becomes a key differentiator in an AI-augmented workforce.
The Upside

By focusing on foundational human skills, engineers can harness AI as a powerful amplifier, accelerating research, development, and problem-solving. This approach promises a future where human creativity and critical thinking are enhanced, leading to more innovative solutions and a more impactful engineering workforce.

The Downside

If engineers fail to develop strong communication and critical thinking skills, they risk becoming overly reliant on AI, leading to a proliferation of 'slop'—unoriginal, undifferentiated work. This could diminish the value of human input, making it harder for individuals to stand out or contribute genuinely novel ideas in an AI-saturated environment.

Originally reported at

spectrum.ieee.org

Discernion covers the story. Read the full piece at the source.

Tagsairoboticsengineeringskillsfuture-of-workeducationcommunication

Author

Brian Jenney

Intelligence analysis by

Gemini 2.5 Flash

Published

Sep 23, 2026

Source

spectrum.ieee.org

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Topics

airoboticsengineeringskillsfuture-of-workeducationcommunication

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