The author expresses a deep-seated fatigue with the pervasive use of artificial intelligence (AI) across various domains, particularly in software testing and development. They acknowledge the significant rise in AI applications and the marketing hype surrounding them, which often labels new tools as "game changers" without substantial evidence to support such claims. While the author does not oppose AI outright and recognizes its potential benefits in certain contexts, they are critical of how it is often misapplied and overhyped. In the realm of software testing, the author reflects on their 18 years of experience, noting that fundamental challenges, such as the slow and costly nature of full-stack end-to-end tests, remain unchanged. They emphasize that effective test automation requires a solid understanding of programming principles and that there are no shortcuts to achieving quality results. The author argues that many AI-powered tools promise speed but fail to deliver improved outcomes, leading to a preference for quality over mere efficiency. As a member of conference program committees, the author has observed a troubling trend where many proposals appear to be generated by AI tools like ChatGPT. This reliance on AI for proposal writing diminishes the uniqueness and personal touch that should characterize such submissions. The author believes that proposals are an opportunity for individuals to showcase their expertise and insights, and outsourcing this task to AI undermines the value of personal expression and creativity. Consequently, they have adopted a policy of rejecting proposals that seem AI-generated, prioritizing genuine effort and originality. On a broader human level, the author laments the impact of AI on creative expression. They cherish the emotional depth found in music, literature, and film created by humans, contrasting it with the often uninspired output of AI. The author notes a growing concern among people about job security in the face of AI advancements, as well as the financial resources companies invest in AI without clear returns on investment. Additionally, they highlight the environmental implications of AI, particularly its carbon footprint. While acknowledging that AI can be beneficial in specific areas, such as healthcare, the author expresses a desire to distance themselves from the overwhelming tide of AI-generated content that lacks emotional resonance and authenticity. They advocate for a more thoughtful and discerning approach to AI, emphasizing the importance of human creativity and the need to prioritize meaningful contributions over automated outputs.

The author expresses a deep-seated fatigue with the pervasive use of artificial intelligence (AI) across various domains, particularly in software testing and development. They acknowledge the significant rise in AI applications and the marketing hype surrounding them, which often labels new tools as "game changers" without substantial evidence to support such claims. While the author does not oppose AI outright and recognizes its potential benefits in certain areas, they emphasize a critical perspective on its current implementation and the quality of results it produces. In the realm of software testing, the author reflects on their 18 years of experience, noting that fundamental challenges remain unchanged despite the introduction of AI tools. They argue that simply adding more tools does not address the core issues of test automation, such as the need for well-structured tests and a solid understanding of programming principles. The author points out that many AI-powered solutions prioritize speed over quality, often failing to deliver better results than traditional methods. They stress the importance of human expertise in evaluating and refining AI-generated outputs, asserting that AI should complement rather than replace skilled professionals. As a member of conference program committees, the author has observed a troubling trend of AI-generated proposals that lack originality and depth. They criticize the reliance on AI for crafting proposals, arguing that it diminishes the opportunity for individuals to showcase their unique insights and experiences. The author expresses a firm stance against accepting proposals that appear to be AI-generated, believing that genuine effort and personal input are essential for meaningful contributions to conferences. On a broader human level, the author laments the impact of AI on creativity and emotional expression. They cherish the art created by humans—music, literature, and film—highlighting the emotional connection that these works evoke. In contrast, they find AI-generated content to be uninspiring and devoid of the human touch that makes art resonate. The author raises concerns about the societal implications of AI, including job displacement, financial investments in AI without clear returns, and the environmental impact of AI technologies. While acknowledging that AI can be beneficial in specific contexts, such as healthcare, the author ultimately advocates for a more discerning approach to AI's role in society. They express a desire to see less reliance on AI-generated content across various fields, emphasizing the value of human creativity and expertise in producing meaningful work.