How will AI
shape your
workforce and
talent pipeline?
Today's Speakers
VP of AI and Data Science
Dr. Sara Hillenmeyer
Payscale KinderCare Learning Companies
Dr. Scott Mayott
Compensation Manager
● How AI is reshaping the labor market and what it means for hiring and workforce planning
● Strategies for compensating AI-related skills and understanding pay premiums
● Ways to strengthen, future-proof, and optimize your talent pipeline
● Practical approaches to reskilling and upskilling employees for an AI-driven workplace
● Any Questions?
Agenda
How AI is reshaping
the labor market and
what it means for
hiring and workforce
planning
US Hiring of early career professionals is dropping in AI-exposed
jobs post-ChatGPT
Brynjolsson E., Chandar B., Chen R. Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence as
Published in the Wall Street Journal. https://digitaleconomy.stanford.edu/publications/canaries-in-the-coal-mine/
Nov 2022 ChatGPT
Released
But… less AI-exposed jobs are adding young workers faster than
older workers
Less AI Exposure More AI Exposure
Young worker hiring
outpacing older
worker hiring
Younger worker hiring
dropping
Older worker hiring
minimally impacted;
Nov 2022
ChatGPT
Released
Will AI eliminate jobs or just
augment them?
Poll #1: Do you think AI
will eliminate jobs or just
augment them?
A. Augment
B. Eliminate
C. Not sure
• Spreadsheets and models used to be a lot of entry level jobs, so more free time
is opening up
• Identify the skills you need and how they pair with AI
• What roles might become redundant? How can we uplevel these roles?
• Grow roles vs making them obsolete- the cost of a new hire is expensive
Workforce planning structures are
becoming outdated
How is AI impacting hiring?
Strategies for
compensating AI-
related skills and
understanding pay
premiums
Demand for AI skills is increasing rapidly across many industries
Source: US job posting data collected and tagged as “AI” by Lightcast; NAICS 3254
Share
of
US
job
postings
requiring
AI
skills
All industry aggregate
Pharmaceutical and Medicine Manufacturing
Manufacturing
Finance and Insurance
AI skills are commanding a premium across many types of jobs
Source: US job posting data collected and tagged as “AI” by Lightcast; NAICS 3254
Difference between median posted pay for job with 1+ AI skill versus no AI Skills
Should AI skills be compensated?
Job postings mentioning
AI skills commanded
28%
higher salaries
25%
of organizations now factor
competitive skills like AI into
their compensation strategy
Source
Source
Some orgs are paying for AI
skills based on increased
efficiency
Having AI skills increases an
employee's throughput in their day-to-day
work
Example: A worker saves 5 hours per week by leveraging AI tools
Data Analyst Data Analyst + AI =
1.125x efficiency
2,080 hrs work / yr
$90,000 salary
2,340 hrs worth of work / yr
Worth $101,250 salary?
Some orgs are paying for AI
skills based on increased
efficiency
Having AI skills increases an
employee's throughput in their day-to-day
work
Advice: Consider 1-time payouts like hiring
bonuses, retention bonuses, etc. The
workforce will adapt to the demand, and these
skills will become “part of the job” over time.
In some technical AI roles,
"superstar economics" may
drive pay decisions
The key driver – large scale revenue
impact from a single person's
contributions/skill
Advice: If it is existential to your
business, pay whatever you must to
sign Tom Brady
For other roles, orgs are
paying premiums to hire
change leaders
Betting that a few key hires can help
the company adopt more AI
Advice: Incentivize learning,
experimentation, and delivery of AI
projects across current incumbents,
not just new hires.
Ways to strengthen,
future-proof, and
optimize your talent
pipeline
Talent
Pipeline Diversification
• Your best talent pipeline is your current
workforce.
• Define the specific results AI will
deliver(e.g., faster product launch), then
train the people needed to
achieve that outcome.
Shift from Role-Based to
Skills-Based Hiring
• Move to a skills-first approach. Use
tools to map an employee's existing
skills to emerging internal roles.
• Prioritize core human skills
like adaptability, curiosity, and critical
judgment in new hires, as these will
always be hard for AI to replace.
Four Categories for
AI Reskilling
• AI Fluency (basic literacy/tools)
• Domain Experts (applying AI to their
specific function)
• Builders (data scientists/engineers)
• Leaders (setting strategy, ethics, and
governance).
Level Employees Up
• Mentorship
• Career Pathing – anyone in the company can do anything!
o Empower employees in their growth and development!
o Empower managers to keep an eye on strengths and where employees might be
a good fit!
• Give space to employ learnings and figure out the necessary skills
• Provide opportunities to use and present skills and ideas early in career
Leadership and Culture
• Encouraging a culture of
continuous learning
and adaptability
• Training leaders to manage AI-
augmented teams
Practical
approaches to
reskilling and
upskilling
employees for an
AI-driven workplace
Learning and
Development are key
areas of investment
Walmart recently announced a partnership with OpenAI
to develop a customized AI certification program for
frontline and office-based employees.
Use skills to your advantage
• The labor market is tight for employees with AI skills, and we might pay a premium for them now, but in 5 years
it might not- leaving inflated jobs
• Team dynamics matter will always matter, soft skills are important
o Social skills
o Collaboration/Teamwork
• Identify roles most impacted by AI and proactively train employees in complementary skills
o Data literacy
o Critical thinking
o AI collaboration tools
• Comp is a lever to motivate employees to learn new skills
Payscale Verse delivers intelligent
compensation insights at the click
of a button.
AI +
Payscale
Access intelligent insights
at your fingertips.
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WorldatWork Profile after October 10, 2025.
Recertification Credits
Questions?
Feel free to ask any questions in the
Q&A section of your dashboard!
Interested in a demo of
Payscale’s compensation
management solutions or data?
Let us know in the poll currently
open in the polling tab and the team
will be in touch!

Webinar - How will AI shape your workforce and talent pipeline.pdf

  • 1.
    How will AI shapeyour workforce and talent pipeline?
  • 2.
    Today's Speakers VP ofAI and Data Science Dr. Sara Hillenmeyer Payscale KinderCare Learning Companies Dr. Scott Mayott Compensation Manager
  • 3.
    ● How AIis reshaping the labor market and what it means for hiring and workforce planning ● Strategies for compensating AI-related skills and understanding pay premiums ● Ways to strengthen, future-proof, and optimize your talent pipeline ● Practical approaches to reskilling and upskilling employees for an AI-driven workplace ● Any Questions? Agenda
  • 4.
    How AI isreshaping the labor market and what it means for hiring and workforce planning
  • 5.
    US Hiring ofearly career professionals is dropping in AI-exposed jobs post-ChatGPT Brynjolsson E., Chandar B., Chen R. Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence as Published in the Wall Street Journal. https://digitaleconomy.stanford.edu/publications/canaries-in-the-coal-mine/ Nov 2022 ChatGPT Released
  • 6.
    But… less AI-exposedjobs are adding young workers faster than older workers Less AI Exposure More AI Exposure Young worker hiring outpacing older worker hiring Younger worker hiring dropping Older worker hiring minimally impacted; Nov 2022 ChatGPT Released
  • 7.
    Will AI eliminatejobs or just augment them?
  • 8.
    Poll #1: Doyou think AI will eliminate jobs or just augment them? A. Augment B. Eliminate C. Not sure
  • 9.
    • Spreadsheets andmodels used to be a lot of entry level jobs, so more free time is opening up • Identify the skills you need and how they pair with AI • What roles might become redundant? How can we uplevel these roles? • Grow roles vs making them obsolete- the cost of a new hire is expensive Workforce planning structures are becoming outdated
  • 10.
    How is AIimpacting hiring?
  • 11.
    Strategies for compensating AI- relatedskills and understanding pay premiums
  • 12.
    Demand for AIskills is increasing rapidly across many industries Source: US job posting data collected and tagged as “AI” by Lightcast; NAICS 3254 Share of US job postings requiring AI skills All industry aggregate Pharmaceutical and Medicine Manufacturing Manufacturing Finance and Insurance
  • 13.
    AI skills arecommanding a premium across many types of jobs Source: US job posting data collected and tagged as “AI” by Lightcast; NAICS 3254 Difference between median posted pay for job with 1+ AI skill versus no AI Skills
  • 14.
    Should AI skillsbe compensated? Job postings mentioning AI skills commanded 28% higher salaries 25% of organizations now factor competitive skills like AI into their compensation strategy Source Source
  • 15.
    Some orgs arepaying for AI skills based on increased efficiency Having AI skills increases an employee's throughput in their day-to-day work
  • 16.
    Example: A workersaves 5 hours per week by leveraging AI tools Data Analyst Data Analyst + AI = 1.125x efficiency 2,080 hrs work / yr $90,000 salary 2,340 hrs worth of work / yr Worth $101,250 salary?
  • 17.
    Some orgs arepaying for AI skills based on increased efficiency Having AI skills increases an employee's throughput in their day-to-day work Advice: Consider 1-time payouts like hiring bonuses, retention bonuses, etc. The workforce will adapt to the demand, and these skills will become “part of the job” over time.
  • 18.
    In some technicalAI roles, "superstar economics" may drive pay decisions The key driver – large scale revenue impact from a single person's contributions/skill Advice: If it is existential to your business, pay whatever you must to sign Tom Brady
  • 19.
    For other roles,orgs are paying premiums to hire change leaders Betting that a few key hires can help the company adopt more AI Advice: Incentivize learning, experimentation, and delivery of AI projects across current incumbents, not just new hires.
  • 20.
    Ways to strengthen, future-proof,and optimize your talent pipeline
  • 21.
    Talent Pipeline Diversification • Yourbest talent pipeline is your current workforce. • Define the specific results AI will deliver(e.g., faster product launch), then train the people needed to achieve that outcome.
  • 22.
    Shift from Role-Basedto Skills-Based Hiring • Move to a skills-first approach. Use tools to map an employee's existing skills to emerging internal roles. • Prioritize core human skills like adaptability, curiosity, and critical judgment in new hires, as these will always be hard for AI to replace.
  • 23.
    Four Categories for AIReskilling • AI Fluency (basic literacy/tools) • Domain Experts (applying AI to their specific function) • Builders (data scientists/engineers) • Leaders (setting strategy, ethics, and governance).
  • 24.
    Level Employees Up •Mentorship • Career Pathing – anyone in the company can do anything! o Empower employees in their growth and development! o Empower managers to keep an eye on strengths and where employees might be a good fit! • Give space to employ learnings and figure out the necessary skills • Provide opportunities to use and present skills and ideas early in career
  • 25.
    Leadership and Culture •Encouraging a culture of continuous learning and adaptability • Training leaders to manage AI- augmented teams
  • 26.
  • 27.
    Learning and Development arekey areas of investment Walmart recently announced a partnership with OpenAI to develop a customized AI certification program for frontline and office-based employees.
  • 28.
    Use skills toyour advantage • The labor market is tight for employees with AI skills, and we might pay a premium for them now, but in 5 years it might not- leaving inflated jobs • Team dynamics matter will always matter, soft skills are important o Social skills o Collaboration/Teamwork • Identify roles most impacted by AI and proactively train employees in complementary skills o Data literacy o Critical thinking o AI collaboration tools • Comp is a lever to motivate employees to learn new skills
  • 29.
    Payscale Verse deliversintelligent compensation insights at the click of a button. AI + Payscale Access intelligent insights at your fingertips.
  • 30.
    1 Recertification Credit-Please enter this recertification credit into the form located within your WorldatWork Profile after October 10, 2025. Recertification Credits
  • 31.
    Questions? Feel free toask any questions in the Q&A section of your dashboard! Interested in a demo of Payscale’s compensation management solutions or data? Let us know in the poll currently open in the polling tab and the team will be in touch!