AI Capabilities and Limitations

Task Example: Analyzing customer feedback reports

What AI Can Do:

• Summarize 100+ feedback responses in minutes
• Identify common themes and issues
• Track sentiment trends over time
• Suggest areas for improvement

Example Request: “Analyze these 150 customer feedback responses about our new feature. Summarize the top 3 issues mentioned, track sentiment changes over the past month, and suggest two areas for immediate improvement.”

Task Example: Creating professional, multilingual communications

What AI Can Do:

• Draft clear, well-structured emails, documents, and presentations
• Edit and improve existing content for tone, clarity, and grammar
• Translate content between languages while maintaining tone and context
• Adapt technical content for different audiences or regions

Example Request: “Help me write a professional email announcing our team’s successful project completion, highlighting our key achievements and thanking contributors. Then translate it into French, preserving the tone and formality.”

Task Example: Market research analysis

What AI Can Do:

• Compare competitor features across multiple products
• Identify emerging market trends from various sources
• Summarize lengthy industry reports into actionable insights
• Generate data-driven recommendations for strategy

Example Request: “Analyze these three industry reports from the past year. Identify the top 5 emerging trends, compare our product features to our main competitors, and suggest three potential areas for innovation in our product line.”

Task Example: Workflow optimization

What AI Can Do:

• Document complex procedures in clear, step-by-step formats
• Suggest efficiency improvements based on best practices
• Create comprehensive checklists for critical processes
• Streamline and simplify technical instructions

Example Request: “Review our current employee onboarding process. Create a streamlined, step-by-step guide, suggest three ways to improve efficiency, and develop a checklist for HR to ensure all steps are completed.”

Task Example: Financial data interpretation

What AI Can Do:

• Analyze large, complex datasets quickly and accurately
• Identify subtle patterns and anomalies in financial data
• Generate visual representations of data for easy understanding
• Provide predictive insights based on historical trends

Example Request: “Analyze our sales data for the past year. Create a report showing monthly trends, highlight any significant changes or patterns, and generate a forecast for the next quarter based on these trends. Include visual charts for key metrics.”

What AI Cannot Do:

• Make final business or ethical decisions
• Evaluate complex moral dilemmas
• Judge subjective or situational matters
• Handle sensitive personnel issues

Example:
AI can provide data and analysis about different strategies, but it shouldn’t make final decisions—especially when ethical tradeoffs are involved. For instance, AI can’t decide whether to enter a new market based on cultural factors, long-term brand impact, or potential environmental consequences that require weighing short-term profits against sustainability.

What AI Cannot Do:

• Develop original business strategies
• Create innovative solutions
• Understand market nuances
• Make intuitive leaps

Example: AI can help brainstorm ideas but shouldn’t determine your company’s long-term vision or strategic direction. It can’t, for example, decide on a new product line based on emerging cultural trends and potential future customer needs.

What AI Cannot Do:

• Handle sensitive employee matters
• Resolve conflicts
• Build genuine relationships
• Show true empathy

Example: While AI can help draft communication, it shouldn’t handle sensitive conversations like performance reviews or conflict resolution. For instance, AI can’t effectively mediate a dispute between team members with complex interpersonal dynamics.

What AI Cannot Do:

• Fully grasp cultural nuances
• Understand implicit social cues
• Interpret sarcasm or humor reliably
• Adapt to rapidly changing situations

Example: AI might misinterpret culturally specific jokes or fail to recognize when a statement is meant sarcastically, potentially leading to miscommunication in international business contexts.