What Questions Should HR Leaders Ask an AI Workforce Development Speaker Before Booking a Session?

AI is changing how people work, learn, and manage their careers. Many HR leaders know they need to prepare their workforce, but they may not know what a useful AI session should cover. Choosing the right keynote speaker matters because a generic AI talk may create interest without giving your HR team a clear next step. The right questions can help you find a speaker who understands HR, workforce planning, AI adoption, and the future of work.

If you are looking for an AI keynote speaker, you can book Patrice Jordan for your next speaking session.

You can also explore services and consulting for organizations if your needs go beyond a keynote.

Why Should HR Leaders Ask Questions Before Booking an AI Speaker?

HR leaders should ask about the speaker’s experience, audience fit, understanding of artificial intelligence, approach to workforce development, and ability to turn AI concepts into practical actions.

A good keynote should do more than explain what AI means. It should help your people understand how AI may change their work and connect technology with employee experience, workforce planning, leadership, learning and development, and change management.

Before booking a speaker, ask:

• Does the speaker understand HR?

• Can they explain AI to nontechnical leaders?

• Can they connect AI to real workforce challenges?

• Will employees leave with actionable ideas?

• Can the speaker address generative AI and agentic AI?

• Do they understand responsible AI?

• Can they discuss automation without creating unnecessary fear?

• Will the session fit your organization’s culture?

• Can the speaker adapt the keynote to your audience?

• What should your HR team do after the session?

These questions can help you distinguish a general technology presentation from a useful AI workforce development session.

What Is the Speaker’s Experience With HR and Workforce Development?

This should be one of the first questions you ask. AI knowledge alone does not make someone a good speaker for HR professionals.

Your speaker should understand areas such as:

• Human resource management

• Workforce planning

• Employee experience

• Learning and development

• Talent management

• Leadership

• Change management

• Reskilling

• Workforce strategy

• Employment

• Job design

• Frontline workers

• Management

The speaker does not need to have held every HR role, but they should understand the questions HR leaders face.

For example, if your organization is considering AI tools for recruiting, the speaker should be able to discuss more than automation. They should help your HR team consider data quality, algorithmic bias, candidate experience, human review, and employee trust.

That is a different conversation from a technical demonstration.

How Can the Speaker Demonstrate AI Expertise?

Can the Speaker Explain AI to Nontechnical Leaders?

Many HR professionals do not work in technical roles, but they still need to understand AI.

Ask the speaker:

“How would you explain generative AI to an HR leader who does not have a technical background?”

A useful explanation should connect AI to work. Generative AI can help produce drafts, summarize information, analyze content, support research, and assist with repetitive tasks.

An AI agent can take that concept further by handling a sequence of tasks within a defined workflow. Your HR team needs to understand these differences and recognize where human judgment remains necessary.

How Does the Speaker Explain Generative AI and Agentic AI?

This is a useful question because AI tools are moving beyond simple chat interfaces.

Generative AI can create content based on a user’s instructions. Agentic AI can work through a series of actions toward a goal.

For HR, possible applications may include:

• Scheduling

• Candidate communication

• Workforce analytics

• Employee support

• Training recommendations

• Administrative tasks

• Information retrieval

• Internal HR service delivery

However, greater capability also creates more questions:

• Who approves the action?

• What data can the AI access?

• What happens when the AI makes an error?

• Which decisions require human review?

A speaker who can discuss both the opportunities and the management questions will give HR leaders a more useful perspective.

Can the Speaker Explain How AI Is Changing the Workplace Now?

Do not accept vague predictions about the future. Ask the speaker to provide current examples.

Microsoft’s 2026 Work Trend Index reports that AI and agents are changing how work gets done and says organizations need to rethink workflows, management practices, culture, and employee skills. Its research also found that 26% of surveyed AI users said their leadership was clearly and consistently aligned on AI.

Ask:

“What should HR leaders be doing now rather than waiting for AI to mature?”

A strong answer should include practical steps such as:

• Identifying repetitive tasks

• Reviewing current AI use

• Identifying workforce skill gaps

• Training employees in AI literacy

• Creating clear AI policies

• Reviewing job descriptions

• Preparing managers

• Establishing responsible AI practices

• Tracking employee concerns

• Connecting AI adoption with workforce strategy

Can the Speaker Show How AI Applies to HR Work?

Ask for examples. You do not need a speaker who only talks about AI in theory. You want someone who can connect AI tools to the actual work of an HR team.

Ask:

“Can you show our HR team where AI can support everyday work?”

Examples might include:

• Drafting job descriptions

• Creating interview questions

• Summarizing employee feedback

• Organizing research

• Preparing training materials

• Analyzing workforce data

• Supporting learning programs

• Creating communication drafts

• Preparing employee FAQs

• Finding patterns in workforce analytics

The purpose is not to automate everything. The purpose is to identify where AI can help people do useful work.

How Does the Speaker Approach AI Adoption?

How Can the Speaker Help Organizations Move From AI Interest to AI Adoption?

Many organizations are already experimenting with AI. The harder question is what happens after experimentation.

Ask:

“How do you help organizations move from trying AI tools to using them responsibly at scale?”

The speaker should discuss more than technology. AI adoption depends on people, culture, management, employee confidence, training, and clear expectations.

SHRM’s 2025 research found that organizations using AI in HR are applying it across areas such as HR technology, recruiting, and learning and development. SHRM also points to the need for AI literacy, data literacy, role-specific training, governance, privacy, fairness, and human oversight.

Your keynote should help HR leaders see these connections.

How Does the Speaker Address Employee Concerns About AI?

This question can reveal a lot about a speaker.

Employees may worry about automation, job security, or changes to their responsibilities. Some may already be using AI without telling their managers.

A speaker should know how to address these concerns without making unsupported promises. The conversation should focus on what employees can control, including:

• Learning new skills

• Building AI literacy

• Understanding workplace AI policies

• Developing human skills

• Learning how to review AI output

• Identifying useful AI applications

• Asking better questions about work

The goal is to help employees participate in the AI conversation.

How Does the Speaker Build Employee Confidence Around AI?

AI adoption can fail when employees do not feel prepared. Confidence comes from practice.

A keynote speaker can help by showing employees how AI works through examples that relate to their jobs.

For instance, an HR team could examine an AI-generated job description and ask:

• Is the description accurate?

• Does it reflect the real role?

• Does it contain biased language?

• Does it exclude qualified candidates?

• What information should a human add?

That exercise can teach AI literacy and critical thinking at the same time.

How Can the Speaker Support Workforce Planning?

How Can AI Change Workforce Planning?

Workforce planning needs to account for changing tasks and skills. AI can automate some repetitive tasks and change how employees perform existing jobs.

Microsoft’s 2026 research highlights the growing role of AI agents and argues that leaders need to redesign work rather than simply add new tools to existing processes.

Ask:

“How should AI change the way we approach workforce planning?”

A useful response should cover:

• Current workforce capabilities

• Future skills

• Job redesign

• Reskilling

• Upskilling

• New job roles

• Automation

• AI-enabled workflows

• Human skills

• Workforce analytics

This helps HR leaders move beyond headcount planning and start thinking about task and skill planning.

Can the Speaker Help Identify Jobs and Tasks Most Likely to Change?

AI does not affect every occupation in the same way. Even within one job, some tasks may change while others remain mostly human-led.

SHRM research on automation and generative AI in HR employment shows why HR leaders need to examine task-level exposure rather than assume that entire jobs will disappear.

Ask the speaker to explain how your organization could examine:

• Repetitive tasks

• Information processing

• Administrative work

• Customer communication

• Data analysis

• Research

• Decision support

• Human interaction

• Complex problem-solving

This can help HR identify where retraining may be useful.

How Does the Speaker Address Reskilling and Upskilling?

How Can AI Support Employee Reskilling?

A useful speaker should connect AI adoption with employee development.

If a workflow changes, employees may need new skills. For example, if AI handles part of a reporting process, employees may need stronger skills in:

• Data interpretation

• Quality control

• Critical thinking

• Communication

• Decision-making

• Problem-solving

Ask:

“What skills should we develop before introducing new AI tools?”

That question shifts the conversation from technology to people.

How Should Organizations Prepare Frontline Workers for AI?

Frontline workers should not be left out of the AI conversation.

Many AI discussions focus on knowledge workers, but AI can also affect customer service, retail, logistics, healthcare, manufacturing, transportation, and other frontline roles.

Ask:

“How should our AI strategy include frontline employees?”

The answer may involve:

• Simple AI literacy

• Role-specific training

• Workflow redesign

• Human oversight

• Manager support

• Access to learning

• Employee feedback

Frontline workers often understand operational problems better than senior leaders. Their input can improve AI adoption.

How Does the Speaker Address Responsible AI?

How Does the Speaker Address Algorithmic Bias?

This question should be part of any serious HR discussion about AI.

AI systems can influence recruiting, job matching, employee analytics, and other HR processes. That creates questions about fairness.

Ask:

“How do you help HR leaders recognize and manage algorithmic bias?”

A good speaker should explain the issue in practical terms.

If an AI system evaluates candidates using historical data, the organization needs to understand what that data represents. If past decisions contained bias, an AI system may reproduce some of those patterns.

HR leaders need processes for reviewing AI-supported decisions and understanding when human judgment should remain part of the process.

How Does the Speaker Address Privacy and Employee Data?

AI tools often work with data, while HR works with sensitive employee information. That makes privacy an important part of AI adoption.

Ask:

“What should HR leaders know before putting employee or candidate information into an AI tool?”

Your speaker should discuss:

• Data access

• Confidential information

• Privacy

• Data retention

• Vendor policies

• Internal controls

• Employee expectations

• Human review

This should be part of responsible AI training.

How Does the Speaker Address Unintended Consequences?

AI can create results that organizations did not expect.

A tool may save time but reduce employee trust. An automated process may improve speed but create a poor employee experience. A chatbot may answer questions quickly but provide incorrect information. An AI-supported hiring system may introduce problems that were not visible during testing.

Ask:

“What unintended consequences should HR leaders watch for?”

A useful answer should show that AI adoption requires ongoing review.

How Does the Speaker Support Change Management?

How Does the Session Address the People Side of AI Adoption?

AI adoption is a change management issue.

Employees need to understand why the organization is introducing AI. Managers need to know what they are expected to do. HR needs to communicate policies. Leaders need to show how AI fits into the organization’s strategy.

Ask:

“How will your keynote help us manage the people side of AI adoption?”

The speaker should connect technology with:

• Culture

• Communication

• Leadership

• Management

• Employee expectations

• Training

• Trust

• Adoption

Microsoft’s current workplace research points to organizational factors such as culture, management practices, and leadership alignment as major factors in whether organizations can capture value from AI.

That is why an AI keynote for HR should not focus only on tools.

Can the Speaker Help Managers Lead AI Changes?

Frontline managers may face some of the hardest questions.

Employees may ask:

• “Will AI change my job?”

• “Which tools can I use?”

• “Can I use ChatGPT at work?”

• “What information can I put into an AI system?”

• “Will my performance be measured using AI?”

Ask:

“How can you prepare frontline managers and people leaders for these conversations?”

The answer should include practical communication and management strategies.

How Does AI Affect Employee Experience?

AI can change employee experience in both positive and negative ways.

It may reduce repetitive tasks, make information easier to find, support learning, and help employees complete work faster. However, employees may also feel monitored or uncertain if AI is introduced without clear communication.

Ask:

“How should we evaluate AI based on employee experience?”

A strong speaker should encourage HR leaders to consider the employee’s perspective:

• Does the tool remove unnecessary work?

• Does it create new work?

• Does it make employees more independent?

• Does it reduce or increase frustration?

• Does it help people learn?

• Does it change how managers evaluate performance?

These questions can help HR make better choices.

How Can the Speaker Help HR Leaders Evaluate AI Tools?

What Framework Should HR Use to Evaluate AI Tools?

HR teams are surrounded by new AI tools. Some may solve real problems, while others may add another layer of complexity.

Ask:

“What framework should we use when evaluating a new AI tool?”

A practical framework can examine:

• The problem the tool solves

• The workflow it changes

• The data it needs

• The people who will use it

• The risks it creates

• The human review required

• The cost

• The expected benefit

• The training required

This can help HR leaders cut through the noise.

The question is not whether a tool is impressive. The question is whether it solves a real problem.

Which AI Tools Should HR Leaders Understand?

A speaker should be able to discuss categories of AI tools without turning the session into a product advertisement.

Those categories may include:

• Generative AI

• AI assistants

• AI agents

• Workforce analytics

• Recruiting tools

• Learning tools

• Employee support chatbots

• Automation platforms

• Data analysis systems

Your speaker should also explain that today’s tools may not be the tools your organization uses next year. The lasting skill is knowing how to evaluate and work with AI.

What Should HR Leaders Ask About the Future of Work?

What Will the Future of Work Require From Employees?

This question can reveal whether the speaker understands workforce development.

The answer should include more than technical AI knowledge. Employees may need:

• AI literacy

• Data literacy

• Critical thinking

• Communication

• Adaptability

• Problem-solving

• Collaboration

• Judgment

• Learning skills

AI can perform some tasks, but people still need to understand the work. That makes human knowledge and judgment important.

How Should Organizations Prepare for Jobs That Do Not Exist Yet?

Organizations cannot predict every future job title, but they can prepare employees to learn.

Ask:

“How can we build a workforce that can adapt when job roles change?”

The answer should connect AI with learning and development.

Training should not only prepare employees for today’s workflow. It should help employees understand how workflows may evolve.

How Should Leaders Prepare for AI?

How Should Executives Lead in the Age of AI?

AI adoption needs leadership.

Executives need to understand the technology well enough to make informed decisions. They do not need to become technical specialists, but they do need to understand the business and workforce implications.

Ask:

“What should CEOs, CHROs, and other senior leaders understand about AI before asking employees to adopt it?”

The speaker should discuss:

• AI strategy

• Workforce strategy

• Culture

• Governance

• Skills

• Employee expectations

• Change management

• Responsible AI

Leadership alignment matters.

Microsoft’s 2026 research found that only about one in four surveyed AI users said their leadership was clearly and consistently aligned on AI. That gives HR leaders a practical reason to bring executives into the conversation.

Can the Speaker Address CHROs and Business Leaders Together?

The HR team and executive team may have different questions.

CHROs may focus on people strategy. CFOs may focus on cost and productivity. COOs may focus on workflows. CIOs may focus on technology. Employees may focus on job security and daily work.

A good keynote can connect these perspectives.

Ask:

“How do you make an AI session useful for HR and business leaders at the same time?”

The answer should show an understanding of different priorities.

What Should HR Leaders Ask About the Speaker’s Keynote Style?

Is the Keynote Practical or Mostly Inspirational?

A keynote can create energy, but HR leaders often need something they can use after the event.

Ask:

“What will participants be able to do differently after your keynote?”

Look for specific answers. Participants may learn how to identify AI use cases, evaluate AI tools, discuss AI with employees, understand responsible AI, or develop questions for their own AI strategy.

That is more useful than a presentation filled with predictions.

Can the Speaker Customize the Keynote?

Ask whether the speaker researches your organization before the event.

A customized session can address your industry, workforce, culture, and current AI adoption.

You may want the speaker to discuss:

• Your workforce challenges

• Your current AI adoption

• Your employee concerns

• Your learning programs

• Your workforce strategy

• Your industry

• Your leadership priorities

Customization does not mean rewriting the entire keynote. It means connecting the session with your reality.

How Does the Speaker Engage the Audience?

How Does the Speaker Handle Q&A?

Q&A can reveal whether a speaker can think beyond prepared material.

Ask:

“How do you handle questions about AI that do not have simple answers?”

HR professionals may ask difficult questions about employment, automation, employee monitoring, bias, privacy, and job security.

The speaker should be comfortable explaining what is known, what is uncertain, and what HR leaders should investigate further.

A strong Q&A can become one of the most useful parts of an AI keynote.

Can the Speaker Include Interactive Examples?

Ask whether the speaker can include exercises or demonstrations.

For example, the audience could review an AI-generated job description, identify potential bias, examine a workflow, identify repetitive tasks, and discuss which steps should remain human-led.

These activities make the AI conversation practical.

What Research Supports the Speaker’s Keynote?

Ask the speaker where their claims come from.

AI discussions can move quickly, and research helps separate evidence from speculation.

A speaker should be comfortable referencing credible sources, including:

• Government agencies

• Universities

• Research organizations

• Professional associations

• Industry studies

• Employer surveys

• Labor market data

For example, Microsoft’s Work Trend Index tracks workplace changes through global surveys and workplace data. SHRM publishes research focused specifically on HR and workplace AI adoption.

Your speaker should know how to use research without turning the keynote into an academic lecture.

Does the Speaker Use U.S. Labor Market Data?

If your organization operates in the United States, ask how the speaker understands U.S. employment trends.

AI affects industries and occupations differently. HR leaders should be careful with claims such as “AI will replace everyone” or “AI will create millions of jobs.”

The better discussion examines specific occupations, tasks, skills, and workforce trends. That approach gives HR leaders information they can use.

How Does AI Adoption Affect Organizational Culture?

Technology can influence how people work together.

If employees feel encouraged to experiment, AI adoption may happen differently than in an organization where employees fear making mistakes.

Ask:

“How should our culture change as employees begin working with AI?”

The answer should include:

• Trust

• Learning

• Experimentation

• Accountability

• Transparency

• Leadership support

• Employee feedback

Culture affects adoption, and HR has a major role in shaping that environment.

How Should HR Leaders Measure the Keynote’s Success?

How Should We Measure the Results of the Keynote?

This is one of the most overlooked questions.

Ask:

“How should we know whether this session worked?”

Possible measures include:

• Participant feedback

• AI knowledge before and after the session

• Number of identified AI use cases

• Manager follow-up

• Training enrollment

• AI policy discussions

• Workforce skill assessments

• Employee confidence

• Follow-up workshops

The exact measurement should match your goal.

If the keynote is meant to create awareness, measure knowledge and confidence. If it is part of an AI adoption program, measure what happens after the keynote.

What Should We Do After the Keynote?

A good speaker should not treat the keynote as the finish line.

Ask:

“What should our HR team do during the first 30, 60, and 90 days after your session?”

Possible next steps could include:

• Identifying AI use cases

• Reviewing current AI tools

• Surveying employees

• Identifying skill gaps

• Training managers

• Reviewing policies

• Creating an AI learning plan

• Building an AI workforce roadmap

• Establishing responsible AI practices

This turns a keynote into part of a larger workforce strategy.

Does the Speaker Understand HR Technology and Existing Workflows?

HR technology already includes many systems. Adding AI should not create unnecessary complexity.

Ask the speaker how AI could work with your existing HR technology.

The speaker should understand that HR teams often work across:

• Human resources systems

• Payroll

• Recruiting

• Learning management

• Performance management

• Workforce analytics

• Employee communication

AI should solve a problem. It should not create another disconnected workflow.

How Does the Speaker Discuss AI, Employment, and Job Loss?

A speaker should be able to discuss automation honestly without predicting that every job will disappear.

SHRM research shows that HR occupations vary in their exposure to automation, and some tasks may be automated while other parts of the job remain subject to technical or nontechnical barriers.

Ask the speaker to explain:

• Which tasks may be automated

• Which tasks may change

• Which skills may become more valuable

• Where reskilling may help

• Where new job opportunities may emerge

• Where human judgment remains important

This gives employees a more practical understanding of AI.

How Can HR Leaders Compare AI Keynote Speakers?

When comparing speakers, do not focus only on the speaker’s title. Look at the substance.

Ask each speaker the same questions and compare their answers.

Consider whether they understand:

• HR

• Workforce development

• Artificial intelligence

• Generative AI

• Agentic AI

• Automation

• Leadership

• Change management

• Employee experience

• Reskilling

• AI literacy

• Responsible AI

• Workforce planning

Also consider their ability to communicate with nontechnical audiences.

A technical expert may understand AI deeply but struggle to connect it with HR. An HR expert may understand people strategy but lack sufficient AI knowledge.

You want the right combination for your audience.

What Are the 10 Most Important Questions to Ask Before Booking an AI Keynote Speaker?

If you need a short screening process, start with these 10 questions:

1. What experience do you have working with HR and workforce development?

2. How do you explain AI to nontechnical leaders?

3. How do you connect AI with workforce planning and employee experience?

4. How do you address generative AI, automation, and AI agents?

5. How do you discuss algorithmic bias, privacy, and responsible AI?

6. How do you help employees build AI literacy and confidence?

7. Can you customize the keynote for our organization and industry?

8. What practical actions will participants take after the session?

9. What research and data support your key points?

10. What should our HR team do after the keynote?

These questions can help you evaluate whether the speaker can address your actual workforce challenges.

Conclusion: What Questions Should HR Leaders Ask an AI Workforce Development Speaker?

The right questions can change the quality of the session you book.

AI is not only a technology issue. It is a workforce issue. It affects how people learn, how managers lead, how employees perform tasks, how organizations plan talent, and how HR teams prepare for changing work.

A useful AI keynote should help leaders connect these issues.

Look for a speaker who can explain AI in clear language, understands HR, connects AI tools with real workflows, recognizes employee concerns, and can discuss responsible AI, algorithmic bias, privacy, and unintended consequences.

Most of all, ask what your organization can do after the session.

The future of work does not require HR leaders to predict every new AI tool. It requires leaders to prepare people to learn, adapt, and make good decisions as technology changes.

That is where a strong AI workforce development speaker can help.

If you are ready to discuss an AI keynote or workforce development session, book Patrice Jordan for your organization.

You can also explore services and consulting for broader organizational needs.

For additional resources, visit Patrice Jordan’s individual books or watch the Bosses Build Business Credit YouTube channel.

The best keynote is not the one that gives your HR team the most AI terminology. It is the one that helps your leaders ask better questions, identify real opportunities, prepare employees, and decide what to do next.