AI Has an Image Problem (brittanyellich.com)

In a reflective piece on the evolving perception of AI tools, a writer recounts their journey from skepticism to enthusiasm over the past year, contrasting this with a growing sentiment of animosity towards AI among non-tech people. The AI industry's messaging, characterized by alarming predictions and mandatory adoption, has created a cultural divide that makes productive discourse challenging. As the hype surrounding AI tools begins to wane, the article emphasizes the importance of realistic conversations about their capabilities and limitations, suggesting that the backlash against AI may worsen before it improves. The author highlights that while AI tools can be difficult to use effectively, they offer transformative potential when employed in the right contexts. They stress that these technologies are not a panacea for productivity or job loss, but rather instruments that can enhance workflows—particularly in coding and refactoring tasks. Moving into 2026, the piece advocates for a shift towards transparency about AI's role and a commitment to teaching developers the fundamentals before relying on these advanced tools. The call for honesty aims to rebuild trust in AI, suggesting that cultural shifts are essential for its successful integration into work processes.