As part of our suite of modular recruiting solutions, Amplifiers™, PeopleScout’s Talent Diagnostic delves deep into every facet of your talent lifecycle. From evaluating your employer brand to enhancing your attraction strategy, from optimizing the candidate experience to maximizing technology usage, we leave no stone unturned.
As part of our suite of modular recruiting solutions, Amplifiers™, PeopleScout’s Assessment Transformation empowers you to deploy talent assessments that not only enhance the recruitment experience for candidates but also help you secure top-notch, future-ready talent with cutting-edge technology and visionary design.
[On-Demand] AI in Recruiting: Hype, Ethics & Best Practices
AI in recruitment has been the buzzword on everyone’s lips lately. But while others were just talking, we were taking action helping our clients gain a competitive edge by leveraging AI to recruit smarter and more efficiently. At the same time, we didn’t just jump on the hype train. We dug deep to help employers grapple with crucial ethical questions around AI bias, privacy risks, and lack of human oversight when not implemented responsibly.
Join PeopleScout Director of Technical Solutions Architecture & Tech Implementation Chad Getchell and Sr. Implementation Training Manager Patti Woods in conversation as they separate fact from fiction for AI in recruitment and discuss the ethical implications for talent acquisition leaders. Whether you’re just starting to explore AI or already using it, this is a bite-sized 30-minute webinar to help you wade through the hype of responsible AI adoption.
In this webinar, Chad and Patti tackle:
The Real State of AI in Recruiting: Cutting through the hype to understand AI’s current and future capabilities in talent acquisition
Ethical Implications: Exploring the risks of AI bias, privacy concerns, and lack of human agency if not implemented carefully
Getting Started with AI: Practical tip to help you evaluate and implement AI recruiting tools successfully in your organization
By watching this webinar, you’ll gain a 360-degree perspective on the benefits, risks, and ethical considerations surrounding AI, equipping you with a clear roadmap to navigate the world of AI in recruiting responsibly.
The information provided in this webinar does not, and is not intended to, constitute legal or other professional advice; instead, all information, content, and materials available in this webinar are for general information purposes only. Viewers of this webinar should contact their attorney or legal advisor to obtain advice with respect to any particular legal matter. No viewer of this webinar should act or refrain from acting on the basis of information in this article without first seeking legal advice from counsel in the relevant jurisdiction. All liability with respect to actions taken or not taken based on the contents of this webinar are expressly disclaimed by PeopleScout, Inc.. The content in this article is provided “as-is”, and no representations are made by PeopleScout that the content is error-free.
Artificial intelligence (AI) has captured attention across nearly every industry for its seemingly boundless potential to transform how work gets done—including AI in recruiting. Yet for many talent acquisition (TA) leaders, AI remains shrouded in hype, myths and even fear that “robot recruiters” are taking over.
This handbook sets out to demystify AI tools for recruitment with facts about real-world applications across talent acquisition capabilities and provide guidance on how talent teams can start planning to use AI effectively and ethically. We’ll cut through the hype to bring AI down to earth—focusing on what works, not what’s flashy.
The message we want to reinforce upfront is that AI should not be seen as a replacement for the talent acquisition strategy you’ve already built, but rather a set of tools to make your teams better at tasks both mundane and meaningful.
📌 Before we go any further, here’s a note from our legal team:
The information provided in this article does not, and is not intended to, constitute legal or other professional advice; instead, all information, content, and materials available in this article are for general information purposes only. Readers of this article should contact their attorney or legal advisor to obtain advice with respect to any particular legal matter. No reader of this article should act or refrain from acting on the basis of information in this article without first seeking legal advice from counsel in the relevant jurisdiction. All liability with respect to actions taken or not taken based on the contents of this article are expressly disclaimed by PeopleScout, Inc.. The content in this article is provided “as-is”, and no representations are made by PeopleScout that the content is error-free.
What is AI?
The term artificial intelligence or AI was coined by Stanford Professor John McCarthy, who defined it as “the science and engineering of making intelligent machines, especially intelligent computer programs.” AI is technology with the ability to perform tasks that would otherwise require human intelligence. Data and algorithms enable AI to “learn” how to accomplish complex tasks without being explicitly programmed to do them. It also includes the sub-fields of machine learning, speech and natural language processing and robotic process automation.
Over the last decade, AI capabilities have advanced tremendously due to increases in computing power, the abundance of digital data and improvements in machine learning algorithms. As a result, AI solutions can now match or even outperform humans in certain tasks related to object recognition, language processing, prediction modelling and more.
The disruption delivered by generative AI in particular arrived like a bullet train. In just a few short months, AI went from an abstract concept to a tangible force radically impacting businesses—and jobs—worldwide. With Generative AI (GAI) tools like ChatGPT, Google Gemini (formerly Bard) and Microsoft Copilot, AI has gone from expensive and exclusive to an everyday tool accessible by the masses.
The State of AI in Recruiting
Top talent has become increasingly scarce and competitive, while recruiting resources and budgets remain strained. This situation demands that talent acquisition teams work smarter, and AI and automation could represent an opportunity for organizations to enhance human capabilities in recruitment.
According to Gartner, a massive 81% of HR leaders have explored or implemented AI solutions to improve process efficiency within their organization. HR leaders aim to use generative AI (GAI) for improving efficiency in HR processes (63%), enhancing the employee experience (52%) and bolstering learning and development programs. Plus, 76% of HR leaders believe that if their organization does not adopt AI solutions in the next year or two, they will lag behind those that do.
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What are the Advantages and Disadvantages of AI in Recruitment?
While AI holds tremendous promise, it also comes with some real concerns which talent acquisition and HR leaders must thoughtfully address. AI is largely unregulated and has received criticism for negative impacts on things like privacy, security, bias, and transparency in its decision-making processes. However, with care and diligence, you can establish sensible guidelines at your organization, so this technology enhances your talent acquisition capabilities while respecting human values.
Benefits of AI for Recruiting
AI can help the humans behind your talent program work more efficiently and effectively when used correctly. Applying AI across the various recruiting stages introduces a host of benefits, including:
Efficiency AI-powered tools can shoulder time-consuming tasks like communications and initial screening, allowing recruiters to reach more candidates at scale. AI systems help recruiters to focus their efforts on the most promising prospects, including helping identify passive candidates. This wider reach improves quality by putting recruiters in front of more qualified candidates.
Improved Candidate Experience Tools like AI chatbots and self-scheduling create a seamless 24/7 candidate experience. By fielding frequently asked questions and coordinating interviews, they dramatically reduce time-to-hire. Candidates get quick responses instead of waiting for recruiters to come online, making the hiring process faster and frictionless.
Improved Matching Advanced AI algorithms surface qualified prospects that may have been overlooked. By analyzing candidates’ skills, experience, and other attributes and matching them to open roles, AI systems ensure better candidate-job fit. This improves quality-of-hire and unlocks hidden talent pools recruiters may have missed.
Enhanced Diversity and Inclusion With the right data to learn from, AI reduces unconscious bias from hiring by focusing decisions on data rather than gut instinct. By objectively evaluating candidates’ skills without prejudice, AI-assisted recruiting enhances diversity and creates a more equitable hiring process.
Cost Reduction AI can reduce the cost-per-applicant in some cases. Recruiters can outsource low-impact, repetitive tasks to AI, and spend more time interacting with candidates and hiring managers. This optimization of talent acquisition teams enables resources to be allocated more efficiently, reducing vacancy rates and lowering costs.
Risks of AI in Recruiting
While there are benefits, talent leaders must thoughtfully address common concerns around AI transparency, interpretation of outputs, data privacy and ethics.
PeopleScout POV
PeopleScout is committed to striking the right balance between next-generation technology and maintaining the trust we’ve built with candidates and clients. As our clients’ trusted talent advisors, we do our due diligence and work touphold our standards for quality and compliance when helping clients adopt new technologies like GenAI.
As organizations prepare to capitalize on the efficiencies of AI, they must be particularly discerning about AI when it comes to supporting people decisions. Effectively deploying and scaling AI across talent acquisition functions introduces some common challenges, including:
Biased Algorithms Despite its ability to reduce bias, if AI models are trained on biased or incomplete data sets, they can unintentionally perpetuate inequality. In many countries there are laws prohibiting discrimination in the recruitment process, and the use of AI must align with these laws. Leaders need oversight into data inputs and must remain vigilant when considering recommendations made by AI. That being said, bias in AI can be corrected much easier than bias amongst humans. Proactively monitoring and mitigating possible areas of bias is essential for driving more inclusive, equitable hiring—regardless of whether AI is involved.
Disproportionate Impact Certain demographic groups face higher exposure to the potential harms of AI in recruitment. For instance, if an AI screening system relies heavily on standardized test scores that have racial biases, it could automatically filter out qualified minority candidates. Similarly, lower income communities may lack access to the digital tools and internet connectivity required for AI screening. This digital divide could automatically exclude qualified candidates from disadvantaged backgrounds. Without proactive measures to address these systemic issues, AI recruitment tools risk amplifying real-world inequality. Organizations must consider disproportionate impact with their use of AI in order to improve diversity and reinforce equity.
Lack of Transparency Organizations may experience resistance amongst candidates and employees when there is a lack of understanding of how AI is being used in the hiring process and how AI arrives at certain outputs or recommendations. You can nurture trust through training and effective communication to help recruiters, hiring managers and applicants understand the reasons behind AI-generated outcomes and their role in the hiring decision-making process. Use clear and understandable language to describe the factors influencing decisions and put mechanisms in place to capture feedback and reporting of potential issues. Transparency promotes ethical AI use in recruitment and also reinforces organizational values and establishes a positive reputation in the industry.
Data from Pew Research Center shows that 61% of Americans are unaware that employers are currently using AI in the hiring process. A majority (71%) oppose AI making a final hiring decision, while 41% oppose AI being used to review applications. However, the more people understand about AI, the more they’re in favor of its use in the recruitment process. For example, 43% of those who’ve heard a lot about using AI in the hiring process support its use for reviewing applications, compared with 37% who’ve heard a little and 21% who’ve heard nothing at all.
Lack of Accuracy GAI is prone to making up statistics, sources and even case law—known as hallucinating. There are no safeguards in place to validate the generated content or to check the accuracy or appropriateness of the outcome. Organizations leveraging tools like ChatGPT for recruiting open themselves up to risks. Recruiters must be aware of the importance of the human touch and using their judgement when using GAI tools for creating content and communications.
Over-Automation Heavy reliance on AI also poses risks if the recruitment process becomes overly automated and fails to incorporate sound human judgment as a check. Too much automated communication can feel depersonalized to a candidate. AI should never replace the human touch—rather it should enhance human capabilities. Plus, companies using AI for recruitment must ensure compliance with all relevant regulations. For example, under GDPR, there are strict guidelines around automated decision-making, and individuals have the right to obtain human intervention and contest automated decisions that significantly affect them.
Data Privacy Issues Collecting and analyzing extensive candidate information required by AI systems can raise concerns around consent, data protection, and ethical usage. Any talent data feeding the AI systems must be compliant with regulations, like GDPR and CCPA, that are relevant to your locations. Organizations should create a framework around the usage of AI recruitment tools to provide transparency around what data you’re collecting, gain consent where applicable, and put access controls and encryption in place to protect sensitive candidate information. Your data security team should vet any AI usage to ensure candidate data is not being scraped for other uses.
Workflow Integration Implementing AI recruiting tools requires integrating them into existing systems and processes. Too often, companies adopt AI in isolation, without considering its impact on surrounding workflows. Instead, organizations should evaluate how AI technologies will interface with current infrastructure. For example, your applicant tracking system (ATS) may need API connections to import AI-screened candidates. With careful integration planning, AI can be a seamless augmentation to talent acquisition rather than an isolated add-on.
Proactively addressing these concerns through governance, oversight and continuous improvement of AI systems and processes is key to managing the risks responsibly. Overall, the use of AI in recruitment is permitted but becoming more and more tightly regulated. Systems cannot make final hiring decisions and must be transparent, fair and accountable. Adhering to data protection laws and anti-discrimination regulations is crucial for the ethical use of AI in hiring. Undergoing regular audits to assess for unintended bias and maintaining the human touch to review, override or contest automated recommendations is crucial.
📌 We recommend you consult your legal team before implementing any AI technologies at your organization.
Use Cases for AI in Recruitment
As recruiting grows more competitive, organizations are turning to smart technologies to gain an edge in attracting and engaging candidates. From chatbots to video interviews and skills assessments, AI-powered solutions are streamlining efficiencies while enabling deeper insights across the hiring funnel. Here are some examples demonstrating AI’s immense potential to boost recruiting outcomes while improving the candidate experience.
How to Use AI for Candidate Attraction and Sourcing
Identifying, contacting and engaging prospective candidates is ripe for AI augmentation. Building a robust pipeline of talent typically involves highly manual, repetitive tasks that can divert focus away from higher-value tasks. Here are some of the ways AI can support you in filling your recruitment funnel.
Building Candidate Personas
AI can pull from the profiles of existing employees and historical hiring data for a given role to surface patterns and common characteristics. These patterns, combined with qualitative data gathered from interviews, can help you to define a persona profile of the ideal candidate for the role.
A persona is a fictional character profile that represents the different types of candidates who would be successful in a role. Personas focus on individual characteristics, behaviors, interests, goals, motivators and challenges. With these in place, you can create alignment across your recruitment and sourcing strategies. Your persona profiles should provide specific guidance about how to find candidates who fit the profile, including targeted messages that will resonate.
Since launching in late 2022, ChatGPT and other GAI chatbots, like Bing Chat, Gemini (formerly Bard) and more, quickly permeated the workplace. These tools mimic human communication and can help with everything from content creation and market analysis to simply writing emails. They can also be used to write job descriptions.
By feeding them with relevant prompts that detail the job tasks and required skills as well as employer brand elements like tone of voice, the GAI chatbot can produce a first draft job description in seconds. The hiring manager and recruiter can then massage this text to create the final posting.
For existing job descriptions, AI can be used to measure sentiment and detect biased language. There are a variety of AI-powered online tools that can highlight biased language—like “ambitious” or “expert,” which are stereotypically masculine—to ensure you’re not turning off a portion of your talent audience.
Previously a manual process, AI can sift through a huge number of online profiles to find candidates with the skills you’re looking for. For example, the AI-powered Affinix CRM tool in PeopleScout’s talent acquisition suite Affinix searches millions of online profiles to find passive candidates with the skills and competencies that match the role. The AI also assesses the likelihood of a candidate being open to a new opportunity by combining the average tenure of each job listed on their profile with the average aggregate tenure of all other candidates in that same role.
Manually identifying passive candidates who have similar titles but may not be actively searching for a job can take hours of dedicated time. AI can reduce manual efforts and massively speed up the recruitment process. Plus, it helps you concentrate on skills, rather than experience, to expand your candidate pool.
Predictive Analytics
Machine learning models can also provide predictive and prescriptive hiring recommendations based on a candidate’s profile. AI can assess genuine interest, candidate motivations, likelihood to accept an offer and even predicted tenure. This empowers recruiters to be more informed for interview prep and can help them personalize outreach messages to appeal specifically to what matters most for each candidate.
Over time as engagement data is captured, AI models continue to improve, learning what messages and channels persuade candidates with various profiles and career trajectories. This creates a positive feedback loop, compounding efficiencies over each recruiting cycle.
How to Use AI for Candidate Screening & Interview Support
Manual candidate screening based on résumés and CVs alone can be an imperfect, biased exercise. With AI lending a “second pair of eyes,” you can ensure quality candidates are not being overlooked. Here are some elements of the process that AI can enhance.
First Sift
Natural language processing tools can ingest thousands of résumés and CVs, and analyze the content, context, and trends across the talent pool within seconds. AI tools can be trained to recognize specific skills, experiences and competencies that are required for open roles and then score and rank applicants automatically against your ideal candidate profile.
Look for tools with a dashboard that highlights the “cream of the crop” candidates that demonstrate the closest alignment, enabling you to reach out or pass the most promising applicants to hiring managers quickly.
Real-Time Screening
Intelligent chatbots, like text and SMS screening tools, create a conversational experience for candidates using natural language processing. These mobile-friendly, text interview tools automatically screen candidates using predetermined questions that gauge their interest and qualifications. Based on the responses, the chatbot can instantly determine the next step for each specific candidate.
AI is also leveraged for pre-employment assessments. New tech platforms can test and measure candidates for skills mastery, personality traits, and cognitive abilities to ensure qualified candidates are advancing through the recruitment process. All results should be reviewed by a human to ensure compliance with relevant regulations around automated decision-making. Leveraging AI in skills assessment helps ensure recruiters and hiring managers can focus on priority candidates most likely to succeed in the role, increasing equity along the way.
Want to learn more about how AI can boost your recruitment processes?
AI-powered candidate engagement tools help you create seamless, personalized experiences at scale—boosting candidate satisfaction, accelerating the hiring process and freeing up recruiters to focus on relationship building—where they add the most value.
Personalized Candidate Communications
For several years now, organizations have been leveraging candidate relationship management (CRM) technology to automate communications with candidates throughout the hiring journey. Automated email drip campaigns deliver the right information at the right stage in the journey to keep candidates informed of next steps and engaged with content that is relevant to them. This helps you build personalized engagement at scale.
More recently, recruiters are using GAI platforms like ChatGPT to help them with drafting one-off emails to candidates. Leveraging the appropriate prompts, a recruiter can get a first draft from ChatGPT which they can then review and edit to fit for specific candidates. This has the potential to save hours’ worth of work each week for your talent acquisition team.
Chatbots
Chatbots leverage natural language processing to manage various high-volume, repetitive inquiries from candidates. Whether answering frequently asked questions (FAQs) about application status, the interview process, the company or the job role, chatbots provide consistent, accurate responses 24/7—especially relevant when recruiters aren’t working. This improves candidate satisfaction while enabling recruiters to focus on higher-value activities.
Intelligent messaging platforms can initiate one-way communications at scale to nurture candidates. Using data on the prospect, role, process stage and more, AI writing assistants dynamically generate personalized, thoughtful messages. This level of personalization improves candidate engagement, advances candidates quicker through the funnel and strengthens employment brand affinity.
Calendar management bots can take over the time-consuming back-and-forth of scheduling interviews, assessments, site visits and more. By integrating with hiring manager calendars, only convenient time slots are shown to candidates. Candidates automatically receive confirmations and reminders, eliminating this task for recruiters and increasing the likelihood of candidates attending interviews.
How to Get Started with AI in Recruiting
Your steps into AI should focus on exploration rather than big integrations. AI in recruitment is fast-moving and receiving more and more scrutiny from law makers, and an RPO (recruitment process outsourcing) partner can act as a strategic advisor on your AI recruiting journey. RPOs have experience implementing recruitment tech like AI software for clients and can advise on the best options for your needs, integration requirements, data needs, ethical usage, and workflow design.
By leveraging RPO expertise, companies can effectively implement AI-enhanced hiring with less disruption and a faster return on investment. Look for a partner that is moving at your speed when it comes to AI in recruiting. They’ll help you identify areas for quick wins, and help you expand this success through experimentation and testing.
Here are some ways an RPO partner can help your explore AI for recruitment:
Change Management: RPOs can ease the transition to automated processes and drive adoption through training and ongoing support. They can also develop training programs to upskill your in-house recruiters on using AI tools effectively and ethically in accordance with your internal AI policies.
Process Design: RPOs can redesign recruitment workflows to integrate AI tools. For example, PeopleScout’s Talent Diagnostic examines your talent lifecycle, evaluating your employer brand and your attraction strategy, as well as looking for ways to optimize the candidate experience through technology usage.
Ongoing Optimization: RPOs can continuously monitor and evaluate AI outputs and fine-tune processes. These insights will help you improve outcomes over time.
Compliance Monitoring: RPOs stay current on regulations affecting AI in recruiting to advise on lawful and ethical usage in conjunction with your internal legal team.
AI in Recruiting: Potential and Responsibility
AI has demonstrated tremendous potential to transform talent acquisition. As this handbook outlines, it’s no longer just hype, rather it’s delivering real impact across sourcing, screening, interviewing and candidate engagement.
The results you’ll experience from AI depend heavily on factors like data quality, transparency, integration with existing systems and processes, and governance to ensure responsible usage. AI solutions are meant to augment—not replace—the human touch in recruitment. Recruiters are invaluable when it comes to relationship building, coaching and negotiation, and AI can’t replicate what makes them uniquely human.
Looking ahead, the use of AI recruiting technology to connect people to purpose will only continue expanding. Cultivating an ethical, inclusive and values-based recruiting culture remains key when it comes to attracting employees who align with your organization’s mission. With human stewardship over AI in recruiting, the future of talent acquisition looks bright.
An Australian aged care provider needed to source critical healthcare roles in their most hard-to-fill locations. PeopleScout’s sourcing expertise and EVP insights helped them exceed their targets in one of the tightest candidate markets in memory.
600+candidates screened
0drop outs occured across the entire recruitment process
4months to fill critical vacancies
Challenge
The client is one of Australia’s largest aged care operators, with 72 residential aged care homes in South Australia, Victoria, New South Wales and Queensland, Australia. The aged care sector in Australia is suffering from a major skills shortage as a result of the COVID-19 pandemic, international border closures and a large number of workers leaving the sector.
The aged care provider turned to PeopleScout for project recruitment process outsourcing (RPO) to support the recruitment of registered nurses and support staff across a number of critical locations where they were getting little to no response to their vacancies.
Solution
Two senior recruitment business partners supported the client across five locations who drove passive and active recruitment for registered nurses and aged care workers. PeopleScout researched the client’s target market to understand what motivates workers in the healthcare sector to accept a role. Following this, our team provided recommendations on the lifestyle bonuses they could offer as incentives for workers to travel to their locations. We also coached the client on how to boost their employer brand to raise awareness of their opportunities, which has delivered a long-term impact within a challenging market.
Results
PeopleScout worked within the aged care provider’s existing ATS system and screened over 600 candidates. We were able to speed up the process for successful candidates and in a number of locations achieved zero dropouts throughout the screening and background check process.
Over a 4-month period, our team placed 14 permanent positions across:
Registered Nurses
Personal Care Workers
Hospitality Support
With a large worker exodus across the sector, recruitment in the aged care sector in Australia is still an ongoing challenge. However, PeopleScout has proven our ability to make a significant impact in a short period of time.
At a Glance
COMPANY: Aged care provider
INDUSTRY: Healthcare
PEOPLESCOUT SOLUTIONS: Recruitment Process Outsourcing, Talent Advisory
ABOUT THE CLIENT: This healthcare provider manages 72 residential aged care homes across Australia, supporting over 8,000 residents and their families at an important time in their lives.
Not sure recruitment process outsourcing (RPO) is for you? Think your organization is too small for RPO? Think outsourcing doesn’t fit your company culture?
Think again.
Our complete six-piece toolkit gives talent acquisition leaders the essential information on how RPO can boost their recruitment outcomes.
In this toolkit, you’ll get:
Our comprehensive buyer’s guide for RPO—everything you need to know
A guide for building a business case for RPO (including a free template!)
Conversation starters to help you create buy-in for RPO at your organization
Learn how RPO can unlock the full potential of your talent strategy. Download your kit now.
Reskilling for Tech roles Results in $2.5M in Savings for Global Bank
PeopleScout helped a global financial services company in their digital transformation efforts with a reskilling program to move employees from declining customer service roles to tech and digital roles.
150customer service staff redeployed to tech roles in pilot program
5,000more employees will be reskilled following the successful pilot
70%reduction in reskilling cost-per-person achieved
Situation
A large global financial services company needed to undertake a major digital transformation program, which required new digital and tech skills. With the growth of online and digital channels, in-person transactions through bank branches and call centers have declined. The organization needed to acquire hard-to-find tech and digital skills to grow and maintain digital banking tools while leveraging the existing company knowledge of employees in declining customer service roles by reskilling them into new high-growth roles.
Reskilling efforts focused on developing new hard skills, so finding the best candidates meant identifying those with the soft skills most aligned with the new job opportunities. Previous efforts by the financial services organization to assess candidate suitability for reskilling were led internally and included multiple, time-consuming line manager interviews. Of even greater concern, around a quarter of those who began the reskilling program dropped out.
Solution
As their long-term RPO partner, PeopleScout worked with the client and skills-platform provider Spotted Zebra to create a skills-based approach to reskilling, helping the organization to assess customer service staff in bank branches and call centers to find ideal candidates for its tech skilling program.
We identified individuals who had a strong motivation to reskill, high levels of adaptability (a predictor of future potential) and a strong alignment with the behavioral skills required for success in the role. A skills profile was created for all the growth roles, and employees were assessed against them to identify which role was the best fit.
Results
Through an initial pilot, the company redeployed over 150 people from declining roles who would have been made redundant to tech jobs, saving around $2.5 million in exit costs.
The company is expanding the reskilling program to move over 5,000 employees into new roles with one year.
By identifying those individuals who are a better behavioral fit for reskilling opportunities, the number of dropouts from the training program dropped dramatically, resulting in a savings of in training and development costs.
The new approach is more effective, simplifying the process in a fair and consistent way. The company has saved a considerable amount of manager time and reduced the reskilling cost-per-person by 70%.
Crucially, the reskilling program means the organization’s digital transformation project is on track, with reskilled individuals moving into mission-critical digital roles that would otherwise go unfilled.
Skills in the workplace are evolving faster than ever thanks to advances in AI, the greening of the economy and shifting demographics. But, our latest research, The Skills Crisis Countdown, shows that HR leaders seem oblivious to the urgency of the coming change.
Nine out of 10 of HR pros surveyed said up to half of their workforce will need new skills within the next five years. Yet, only 7% are actively investing in reskilling programs right now, and 45% admit they have no plans underway to prepare their people for the shifting skills landscape.
Our data quantifies the massive disconnect between awareness of looming skills gaps and action being taken to reskill workers. Check out the infographic below to see the stats and get ahead of the curve on developing a future-ready workforce.
By Simon Wright, Global Head of Talent Advisory Consulting
The workforce skills landscape is transforming at blinding speed. Automation, AI, sustainability initiatives, demographic shifts—global forces are conspiring to make skills gaps and talent shortages more acute by the day. Don’t think it’s moving that fast? Well, the World Economic Forum predicts that a jaw-dropping 85 million jobs could sit vacant by 2030, resulting in $8.5 trillion in lost revenue.
The very meaning of “skills” is shifting beneath our feet. Skills requirements have already changed 25% since 2015, and experts forecast 65% more change by 2030. However, companies still rely heavily on degrees and experience over skills when it comes to making hiring decisions. No wonder we’re careening towards a global skills crisis.
PeopleScout partnered with skills-based workforce management platform provider Spotted Zebra to survey over 100 senior HR and talent acquisition leaders globally, plus over 2,000 employees worldwide, to compare perspectives. Our new research report, The Skills Crisis Countdown, maps the skills landscape and diagnoses the disconnects between employers and their workforce.
Read on for some key findings from our report.
HR Leaders are Ill-Prepared for the Skills Crisis
According to a study by PwC, 40% of global CEOs believe their business will be economically unviable in 10 years unless they reinvent for the future. Our study revealed that nine out of 10 HR leaders believe that up to 50% of their workforce will require new skills to effectively perform their job in the next five years. Yet, when asked if they are currently undergoing or planning a workforce transformation initiative in the next three years, nearly half (45%) of HR leaders admit to having no plans to undertake one.
So, in other words, half of employees will soon be underprepared for the future, but most companies have no strategy in place to address the issue.
According to LinkedIn, 84% of members are in occupations that could have at least one quarter of their core skills affected by generative AI (GAI) technologies, like ChatGPT. So, how are HR leaders preparing for this digital transformation and the AI era? Shockingly, a full third (34%) say they have no preparations in place to prepare for new technologies. Those who are preparing emphasize bringing in outside talent rather than reskilling existing employees.
Industry Composition by GAI Segment Percentage of LinkedIn Members by Industry
(Source: LinkedIn Economic Graph Research Institute)
This is likely because they lack an understanding of the skills they have within their existing workforce. Our data revealed that 68% of organizations identify skills from manager feedback, which is highly subjective. So, it’s no surprise that 56% of employees think their skills are underutilized in their current roles, and 61% think there are other roles in their organization where their skills could be utilized.
An unprecedented skills revolution is barreling down the tracks, but companies are fast asleep at the switch. It’s time to wake up and get employees future-ready or risk a global skills crisis and talent scarcity for decades to come.
Digital & Tech Skills Gaps are Widening but Tech Skills are Viewed as Unimportant
Both employers and employees dangerously underestimate the importance of tech and digital skills. In our survey, both parties listed tech and digital literacy skills with low importance. With the skyrocketing demand for tech and digital talent, this does not bode well.
Mobile apps, ecommerce and digital transformation have made technology integral to every corporate strategy. However, supply isn’t keeping up with demand. McKinsey analyzed 3.5 million job postings in high-tech fields and found there’s a wide divide between the demand for tech and digital skills and the qualified talent availability. The most sought-after skills have less than half as many qualified professionals per posting compared to average global figures.
No wonder 63% of HR leaders in our survey admit they struggle to recruit the skills they need. Closing tech and digital skills gaps through recruitment alone is no longer sufficient. So, we were concerned when our research showed that 73% of the workforce haven’t been offered opportunities to reskill.
Organizations must invest in helping their employees evolve their skills via reskilling and internal mobility to cultivate digital and tech literacy across their entire workforce.
Case Study: Reskilling in Action
The Challenge:
A large global financial services company needed to undertake a major digital transformation program. The organization needed to acquire key digital and tech skills while leveraging the existing company knowledge of employees in declining customer service roles by reskilling them.
Previous efforts by the organization to assess employees’ suitability for reskilling were led internally and included multiple, time-consuming line manager interviews. Of even greater concern, around a quarter of those who began the reskilling program dropped out.
The Solution:
The bank worked with their long-time RPO partner, PeopleScout, and Spotted Zebra to assess customer service staff in bank branches and call centers to find ideal candidates for its tech and digital skilling program. Skills profiles were created for tech roles, which employees were assessed against to find the best fit.
The Results:
Redeployed 150 people, saving over $2.5M in exit costs
Saved over $350,000 in training and development costs
Reduced time investment by hiring managers
Reduced the reskilling cost-per-person by 70%
Employees Don’t Feel Confident in their Skills for the Future
A third (34%) of workers have doubts about how their skills will keep pace with new technology and automation. Meanwhile, just 17% of organizations are offering targeted reskilling programs for existing employees.
Where are HR Leaders Deploying Skills-Based Practices?
(Source: PeopleScout and Spotted Zebra)
This imbalance spells disaster. As change overwhelms existing skill sets, most workers will begin to feel unsure of their career paths or left struggling to stay relevant.
Investing in reskilling makes solid business sense. We must bridge the gap between workers anxiously facing uncertainty and leaders failing to invest in their resilience. HR leaders who empower their workforce with adaptable skill sets today will drive continued success in times of swift and sweeping change.
Finding a Talent Partner to Support Your Skills Transformation
The agility to match emerging skill requirements will soon become a competitive necessity. If you haven’t started your skills-based transformation, now is the time.
In our survey, one in two HR leaders admitted to a lack of understanding of skills-based practices. If you’re struggling to understand how to take advantage of skills-based practices in your organization, PeopleScout is here to be your guide.
As a recruitment process outsourcing (RPO) partner, we can help you understand the skills within your existing workforce as well as the external market supply and demand. We offer solutions across the skills agenda, from skills-based talent intelligence and market insights, building skills frameworks, and creating skills-based success profiles to redesigning recruitment processes, skills-based hiring strategies, and helping you maximize the potential of your existing workforce.
To learn more about PeopleScout’s skills-focused talent solutions, get in touch.
[On-Demand] The Ticking Talent Clock: Is Time Running Out to Address the Skills Crisis?
With the rapid advancement of AI, accelerated digitalization and the greening of the economy, businesses are grappling with the changing nature of work—how we work and the types of jobs we do. In fact, a new research report from PeopleScout and Spotted Zebra, The Skills Crisis Countdown, reveals that nine in 10 HR leaders believe that up to half of their workforce will need new skills to perform their jobs in the next five years. Yet, only less than one in 10 say they are actively investing in reskilling programs.
Are HR leaders running out of time?
Join PeopleScout’s Global Head of Talent Consulting Simon Wright and Spotted Zebra’s Chief Customer Officer Nick Shaw as they delve into the key findings from the research, lay bare the skills crisis and show why the clock is ticking for HR leaders.
In the webinar, Simon and Nick cover:
How organizations are addressing the mismatch in skills demand and supply
The current state of skills utilization, skills-based hiring and the need to expand talent pools
Strategies for improving talent mobility (including case studies and success stories)
Practical steps you can take to transition to a skills-focused model
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