Artificial Intelligence (AI), a relatively modern innovation, is transforming a wide array of industries across the globe and offering unparalleled advantages. A specific area where AI has massive potential is sustainable development. Sustainable development in AI context represents the utilization of AI resources to enhance and facilitate sustainability in various sectors such as agriculture, transportation, energy and environment, healthcare, and more.

• Broad Utility: AI can be applied across a diverse array of sectors. It can aid in environmental protection, optimized resource consumption, improved healthcare systems, smarter cities, effective waste management, and more.
• Predictive Capabilities: AI can analyze data patterns to provide predictive analysis for future trends. This can aid in decision making, policy development, and resource allocation.
• Innovation: AI technologies introduce innovative solutions for complex problems. These include predictive maintenance, efficient energy consumption, disease tracking, biodiversity protection, and more.
• Scalability: AI has the potential to be applied on a mass scale. It can be incorporated at a local, regional, or global level, improving processes and systems along the way.
• Efficiency: AI reduces the need for massive manpower, quickens processes, and increases efficiency across organizations and establishments.

• Reducing Environmental Impact: AI can be utilized to predict and reduce environmental impacts. It can help to optimize energy usage, reduce emissions, monitor deforestation, and track wildlife populations among others.
• Improving Resource Efficiency: AI can enhance resource utilization efficiency by optimizing their use, reducing unnecessary consumption, and predicting future needs.
• Aiding Policy Development: By providing precise and predictive data, AI can enhance policy decision-making. This can aid in developing effective and targeted policies for sustainable development.
• Enhanced Services: AI can aid in improving various services, enhancing their efficiency and reach. For instance, in the healthcare industry, AI can help in predicting and managing disease outbreaks in a sustainable way.

• High Cost: The implementation of AI systems could be costly, especially for developing countries. It might require substantial investment for acquisition, deployment, and maintenance.
• Technical Glitches: AI is prone to bugs and errors, which might lead to erroneous data and predictions. This could potentially lead to incorrect decisions and policies.
• Lack of Human Oversight: Over-reliance on AI can result in lack of human oversight and could lead to ethical issues.
• Unemployment: The adoption of AI in various sectors could lead to job automation, resulting in unemployment and social disruption.

A systematic approach towards the implementation of AI for sustainable development involves the analysis of specific needs, evaluation of AI capabilities, and mapping these two for effective strategy. Organizations need to develop clear goals for sustainable development and then seek AI systems that can aid in achieving these objectives. Training of personnel, customization of tools and constant monitoring and updates is crucial to ensure the success of AI implementations.

In sum, AI has significant potential for driving sustainable development across various sectors. However, it should be carefully chosen, deployed, and managed to ensure that its potential is fully utilized while mitigating associated risks. Each organization or entity would need bespoke AI solutions necessitating full understanding, acceptance, and commitment for this relatively new concept for it to truly contribute to the organization's sustainable development agenda.