🎯 AI Survey Challenge

Answer Reveal Presentation

🎉 Let's Reveal the Answers!

Time to see how well everyone did on the AI Survey Challenge. Each slide will show the correct answers and some interesting statistics from the survey data.

What percentage of executives use Gen AI tools daily?

✅ Correct Answer

36-50% range
0-20%
21-35%
✅ 36-50%
51-65%
66-80%
81-100%

📊 Survey Details

• This falls in the 36-50% range for full points
• Shows significant but not universal daily adoption among executives
Select the TOP 3 departments most impacted by Gen AI

✅ Top 3 Most Impacted Departments

1
IT
2
Customer Service
3
Business Intelligence
✅ IT
Engineering
Legal
Operations
✅ Customer Service
Marketing
HR
✅ Business Intelligence
Finance
Sales

📊 Why These Departments?

IT: Leading implementation and infrastructure
Customer Service: Chatbots and automated support
Business Intelligence: Data analysis and insights
Select the TOP 5 most adopted Gen AI use cases

✅ Top 5 Most Adopted Use Cases

Data analysis and analytics
Document/meeting summarization
Document writing/editing
Presentation creation
Customer service and support
✅ Data analysis and analytics
✅ Document/meeting summarization
✅ Document writing/editing
✅ Presentation creation
Code writing/generation
✅ Customer service and support
Marketing content creation
Physical robot automation
Autonomous vehicle navigation
Voice/speech synthesis for executives
AI-generated music/sound design
Quantum computing optimization

📊 Usage Patterns

• Document-related tasks dominate (summarization, writing, presentations)
• Data analysis shows strong adoption for business intelligence
• Customer service automation continues to grow
How strongly do executives agree that these are key Gen AI outcomes? (Rank by agreement level)

✅ Correct Rankings (by agreement level)

1
Higher quality output with same employees
2
Enhances employee skills
3
Increases revenue overall
4
Decreases costs
5
Leads to skill proficiency decline

📊 Executive Perspectives

• Quality improvement is the top agreed outcome
• Skills enhancement closely follows
• Revenue and cost benefits also rank highly
• Skill decline concerns are much lower
Select the TOP 3 main challenges organizations face with Gen AI adoption

✅ Top 3 Main Challenges

1
Inaccuracy of results (hallucination effect)
2
Customer data privacy
3
Ethical considerations (biases, transparency)
✅ Inaccuracy of results (hallucination effect)
✅ Customer data privacy
✅ Ethical considerations (biases, transparency)
Compliance with industry-specific regulations
Costs of the technology
Exposure of confidential and proprietary information
Intellectual property rights
Lack of organizational understanding and expertise
Employees not equipped with right capabilities

📊 Challenge Analysis

• Accuracy concerns (hallucinations) top the list
• Privacy and ethics are nearly tied for second place
• Technical reliability remains the biggest barrier
What has research shown makes LLMs perform better?

✅ Correct Answer

Promising to tip the LLM money for good responses
✅ Promising to tip the LLM money for good responses
❌ Using longer, more detailed prompts with examples
❌ Writing prompts in formal, technical language
❌ Running the same prompt multiple times and averaging results

📊 Research Finding

• Recent studies show that mentioning tips in prompts can improve LLM reasoning
• The mechanism likely relates to training data patterns rather than understanding money
• This demonstrates how subtle prompt engineering can affect AI behavior
Which hiring outcome do executives most commonly predict for Gen AI?

✅ Correct Answer

Net more hires
❌ Net fewer hires
❌ Net no change in hiring
✅ Net more hires

📊 Hiring Predictions

• This was the most common prediction among executives
• Contrary to fears about job displacement
• Suggests AI will create new roles and opportunities
• Reflects optimism about AI augmenting rather than replacing workers

🎉 Thank You!

Thanks for participating in the AI Survey Challenge! These insights reflect real survey data about Gen AI adoption across companies of all sizes.

🔗 Want to play again or share?

• Survey data based on real industry research
• Share the game with colleagues to see how they compare
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