This paper presents a critical strategic analysis of international carbon pricing and its environmental, economic, and social impacts. This discussion will rely on peer-reviewed articles, policy reports, and empirical studies that have been published between 2007-2024. It examines the effect of carbon taxes and emissions trading systems (ETS) in reducing greenhouse gas (GHG) emissions, technological innovation, and long-term structural change using a systematic literature review and content analysis. Distributional equity, competitiveness, administrative capacity, and risk of carbon leakage are also examined in the study. It also analyzes the complementary tools such as voluntary carbon markets, carbon border adjustments (CBAM), revenue-recycling frameworks and just transition frameworks. It shows that carbon pricing alone cannot be used to achieve the level of decarbonization required to meet international climate targets, but is an important pillar when used in conjunction with more robust regulatory, fiscal and industrial policies. International coordination, better policy design, better revenue utilization and social fairness are important in maximizing the effectiveness and legitimacy of carbon pricing across the globe. This paper provides policy implications to policymakers, scholars, and climate negotiators to develop sustainable and equitable carbon pricing systems.

The generative artificial intelligence is altering the way visual content is created, distributed, and consumed in marketing, design and creative practices. Since digital environments are inundated with visual content, businesses are turning to AI systems to accelerate the production, customize the experience, as well as experiment with new appearances. The paper will examine the impact of generative AI on visual communication, creativity, authorship, and design work. The current research and the trends of the industry indicate that creativity is no longer a purely human endeavor, but rather a combination of human and AI work. Although AI can be used to generate ideas quickly, with high scale of variation, and adaptive visual strategy, authenticity, cultural resonance, and ethical accountability of the work remain the domain of humans. This paper creates a conceptual framework to understand this new landscape, identifies its implications on visual marketing, and suggests viable ways of action when a company wants to adopt generative systems effectively. It concludes with identifying key limitations and outlining a future research agenda on the topic of human-AI creative ecosystems.