As we edge further into the era of artificial intelligence (AI), we stand on the threshold of far-reaching and profound transformations across various sectors. One such domain that is already witnessing a significant paradigm shift is content generation. The advent and proliferation of AI-enabled content writing software mark a significant milestone in the journey towards automated workflow processes in the content marketing industry.

Let us delve deep into this rapidly evolving terrain, envisioning the possible trajectories this technology could take in the near future and the emerging trends to watch out for.

Artificial Intelligence content writing software is not a mere novelty but an influential tool that leverages machine learning algorithms to generate human-like text. This technology's edifice is rooted in Natural Language Processing (NLP), a subfield of AI that provides machines with the ability to understand, interpret, and generate human language. The resultant text is not only coherent and contextually accurate but also capable of passing the Turing test.

Machine learning, a pivotal component of AI, is integral to these software solutions. It enables them to learn from vast datasets, adapt their output based on the input, and thus improve over time. Deep learning, a subset of machine learning, can mimic the human brain's neural networks, facilitating better language comprehension and generation.

The evolution of AI content writing software has been powered by a confluence of technological advancements, including but not limited to, the advent of Generative Pre-trained Transformers, or GPT models. The latest iteration, GPT-3, has been instrumental in propelling AI writing capabilities to unprecedented heights. The model, with its 175 billion learning parameters, can generate impressively fluid and contextually nuanced text.

Predicting the trajectory of AI content writing software, one could envisage a potential dichotomy of scenarios. On the one hand, we might witness the automation of mundane and repetitive content tasks, freeing up writers for strategic and creative tasks. On the other hand, we could see AI systems becoming adroit at crafting engaging narratives and persuasive rhetoric, encroaching on the domain of creative writing.

Emerging trends indicate both scenarios are probable, albeit on different timelines. The current trend leans towards using AI to automate repetitive tasks. For instance, AI can generate product descriptions, data reports, or news based on structured data, freeing up human writers' time.

However, the potential of AI to master creative writing is no longer a science fiction trope. For example, GPT-3's ability to generate poetry or prose, that is virtually indistinguishable from human-written text, signals the dawn of a new era. Given the exponential rate of AI development, we could soon witness AI writing software crafting compelling narratives, under the guidance and supervision of human writers, of course.

However, this raises some critical ethical and legal challenges, particularly in the realm of intellectual property law. If an AI generates content, who owns the copyright? Current legal frameworks are ill-equipped to handle such queries, which will undoubtedly become more pressing as AI's writing capabilities advance.

Moreover, AI-written content often lacks the nuanced understanding of human emotions and cultural sensitivities that human writers inherently possess. AI tools, despite their impressive capabilities, may inadvertently propagate biases present in their training data. This risk necessitates continuous human oversight and intervention.

In terms of economic implications, the cost-effectiveness and efficiency of AI content machines could disrupt the content industry's job market. However, it could also create opportunities for new roles focused on AI supervision, strategy, and creative direction.

Against this backdrop, it is crucial to underscore that AI content writing software is not a panacea, nor does it signal the obsolescence of human writers. Rather, it is a tool that, when used judiciously, can augment human capabilities, streamline workflows, and unlock new creative potentials. The future will likely be one of collaboration, not competition, between human writers and their AI counterparts.

In conclusion, while the road ahead is fraught with challenges and uncertainties, it also holds immense promise. The key to harnessing this potential lies in our ability to adapt and evolve, to balance the risks with the rewards, and to shape this technology in a way that aligns with our ethical and creative standards. This, in essence, encapsulates the future of AI content writing software.