Brex faced significant challenges in 2024, including staff cuts and slowed growth. By aggressively adopting AI across its operations and restructuring its team, Brex has achieved remarkable growth, surpassing $500 million in annual revenue and fostering a culture of AI fluency among employees.

The article discusses how the rush to adopt agentic AI is jeopardizing the balance between speed and quality in software development. A survey reveals that most companies lack skilled testers and adequate quality assurance processes, leading to a high rate of failures in AI initiatives. The piece calls for a renewed commitment to quality principles to safely harness AI's potential.

This article discusses how organizations often struggle to effectively implement AI due to a lack of human-centric design and psychological understanding. It highlights the importance of redesigning workflows, minimizing cognitive overload, and fostering a culture of trust and collaboration to ensure successful AI adoption.

This article discusses the importance of accepting failure in design, highlighting the difference between "good" and "bad" failures. It emphasizes the need for psychological safety in creative teams and warns against relying on AI-generated specifications without proper context.

This article explores the excitement and anxiety of working with AI as a beginner. It highlights the shared experiences of early adopters who find joy in experimentation and creativity, reminiscent of the early days of Python. The author calls for a more open and casual culture of communication in the AI community.

This article outlines five essential recommendations for platform engineering teams to succeed in 2026. It emphasizes the importance of dedicated leadership, measuring success, fostering a culture of voluntary adoption, and continuous upskilling to overcome common challenges and drive ROI.

This article introduces the Developer Thriving Framework, which helps leaders support their teams during the shift to AI-assisted coding. It offers insights from over 3,000 developers and identifies cultural factors that can lead to burnout, providing actionable steps for fostering a healthier work environment.

This article explores how AI-driven algorithms shape our consumption of pop culture, often leading to a homogenized experience that misses essential context and meaning. It argues for the importance of human curation to preserve the complexities and histories behind cultural artifacts. Without this human insight, we risk losing the depth and transformative power of art and culture.

Apple's struggles with AI, particularly the failures surrounding Apple Intelligence, highlight a disconnect between its traditional slow-moving culture and the fast-paced demands of AI technology. Key figures like John Giannandrea and Craig Federighi faced internal challenges, resource allocation issues, and a lack of urgency that hindered Apple's ability to compete effectively in the AI space. The company's reluctance to adapt may ultimately seal its fate in this rapidly evolving industry.

The article explores the phenomenon of AI-driven virtual girlfriends in America, discussing the motivations behind their creation and popularity. It examines societal factors such as loneliness, technological advancements, and the implications for human relationships as people increasingly turn to AI companions for emotional support.

The article explores the intersection of large language models (LLMs) and music taste, discussing how these AI systems can analyze and predict individual preferences in music genres. It highlights the potential for LLMs to enhance music recommendations and the implications for artists and listeners alike.

The article discusses the transition from managing people to managing AI in the workplace, emphasizing the need for new skills and approaches as AI tools become integral to business operations. It explores challenges such as communication, collaboration, and ethical considerations in leveraging AI technologies effectively. The author highlights the importance of fostering a culture that embraces AI while addressing the potential impacts on team dynamics and productivity.