AI has the potential to significantly influence financial decision-making at the strategic level, providing executives and board members with insights and predictive capabilities that can aid in making informed, data-driven decisions.

1. Data-Driven Decision Making: AI can help executives and board members make decisions based on data rather than intuition. AI models can analyze vast amounts of data and generate insights that can inform strategic decisions.
2. Predictive Analytics: AI can analyze past and present data to forecast future trends and outcomes. This predictive capability can be incredibly valuable for strategic planning, helping executives anticipate future challenges or opportunities and plan accordingly.
3. Risk Management: AI can identify patterns and trends that might indicate potential risks. This can help executives and board members to proactively manage these risks, rather than reacting to them after they occur.
4. Resource Allocation: AI can provide insights into the most effective use of resources, helping to inform decisions about where to invest or where to cut costs.
5. Strategic Planning: AI can help to simulate the potential outcomes of different strategic choices, helping executives and board members to evaluate different strategies and choose the best path forward.
6. Performance Monitoring: AI can automate the process of tracking and analyzing performance data, providing executives and board members with real-time updates on the organization's performance against its strategic objectives.

As for the implications for executives and board members:

1. Role Transformation: The role of executives and board members might shift from making decisions based on intuition and experience to making data-driven decisions informed by AI. They will need to understand how to interpret and use AI-generated insights in their decision-making.
2. Continual Learning: As AI technologies continue to evolve, executives and board members will need to stay abreast of the latest developments and understand how they can be applied to strategic decision-making.
3. Ethics and Governance: Executives and board members will need to consider the ethical implications of using AI, including issues around data privacy, bias, and transparency. They will also need to ensure that appropriate governance structures are in place to manage the use of AI.
4. Trust in AI: Executives and board members will need to build trust in AI systems, both for themselves and for other stakeholders. This will involve demonstrating the reliability and fairness of these systems, and explaining how they are used in decision-making.

By embracing AI, executives and board members can enhance their decision-making capabilities, but they will also need to navigate the challenges and ethical considerations that come with using these technologies.