Why AI Literacy Is the Next Strategic Skill for TA
As artificial intelligence becomes increasingly embedded in the hiring process, many organisations are asking the same questions: What role will AI play in recruitment, and what does it mean for the people behind the process?
While headlines often focus on automation replacing human effort, the reality is more nuanced. The next chapter of talent acquisition isn’t about replacing people, it’s about redefining their contribution. Those who understand how to leverage AI as a tool, rather than view it as a threat, will be the ones who continue to create value.
But AI literacy in TA doesn’t happen by accident. It requires new skills, new mindsets, and a clear understanding of where AI can meaningfully support the recruiting lifecycle. It also demands an honest look at how different roles, sourcers, coordinators, advisors, and strategic partners, will be impacted differently.
AI Has Entered the TA Workflow, But Capability Gaps Remain
Recent data from LinkedIn shows that 74% of talent professionals are optimistic about AI’s impact on recruitment, yet only a small percentage feel equipped to use these tools effectively. Many organisations are still navigating early-stage experimentation, often lacking a framework for how to roll out AI responsibly and practically.
The challenge isn’t just technology, it’s people readiness. Adoption is uneven, often slowed by fear of redundancy, tool fatigue, or a lack of clarity on where AI actually adds value.
That’s why leading TA teams are shifting their focus from surface-level adoption to deeper capability-building. TA professionals need to understand how to use AI tools not just functionally, but strategically. That means asking smarter questions, engaging with data more fluently, and knowing when to apply AI-generated insights versus when to rely on experience and judgment.
From Tool Usage to Strategic Enablement: The AI Maturity Curve
A growing number of TA leaders are mapping out an AI capability journey that moves through several stages:
Exploration – Piloting tools in isolated workflows, often with individual enthusiasm leading the charge.
Enablement – Upskilling teams in prompt engineering and basic data interpretation, often with measurable time savings.
Integration – Embedding AI into core systems (ATS, CRM, sourcing stacks) to support consistent workflows.
Augmentation – Using AI to inform strategic decisions, shape job architecture, and advise hiring managers at a consultative level.
Where a TA function sits on this curve should inform its investment priorities. Skipping stages leads to poor adoption, fragmented workflows, and wasted spend.
What Skills Are Emerging for the AI-Enabled TA Professional?
Forward-thinking talent teams are investing in capability development that goes well beyond basic tool adoption. Some of the key skills being prioritised include:
1. Prompt Engineering
Learning how to write effective, targeted prompts has quickly become essential. This skill allows TA professionals to extract better results from generative AI tools, whether it’s drafting a job description, building Boolean search logic, or personalising outreach messages based on candidate motivations.
Training in prompt engineering is already underway in several enterprise environments. These programmes focus on secure platforms like Microsoft Copilot and ChatGPT Enterprise, teaching TA teams how to apply AI in daily workflows while remaining compliant with data and privacy standards.
2. Predictive Analytics for Strategic Demand Planning
As organisations mature their workforce planning efforts, AI offers an opportunity to improve how TA professionals anticipate and prepare for complex hiring needs. Predictive analytics helps teams interpret demand plans with greater precision, identifying potential bottlenecks, forecasting sourcing difficulty, and prioritising critical roles before requisitions hit the system.
Rather than reacting to intake meetings, AI-enabled TA professionals can proactively partner with talent intelligence and workforce planning teams. By surfacing patterns in hiring volume, geography, and skill clustering, they help design sourcing strategies that are more aligned to business timing, risk tolerance, and labour market constraints.
This shift moves TA from execution to orchestration.
3. Advanced Market and Role Research
In parallel, TA professionals are using AI to enhance their ability to conduct strategic market research. This includes analysing adjacent skill sets, identifying alternative career paths into hard-to-fill roles, or benchmarking similar positions across peer organisations and industries.
These insights help reshape job design, adjust expectations, and open up more inclusive or innovative talent pipelines. When combined with recruiter experience and hiring manager consultation, it enables more agile and data-informed decision-making.
Used well, these research capabilities strengthen the TA team’s role as an advisor, not just a delivery function.
4. Experimentation and Peer Learning
Perhaps most powerful is the rise of shared experimentation. A growing number of talent functions are creating internal “AI labs” or learning communities where teams test new workflows, explore niche sourcing challenges, and share what works (and what doesn’t). These environments are critical for building capability and trust.
A common use case emerging from these labs is forensic sourcing: using AI tools to convert vague job specs into structured search logic, sometimes across multiple geographies or languages. Over time, these experiments build institutional knowledge that scales beyond individuals.
Infrastructure Still Matters: Data and Integration Are Make-or-Break
One of the most overlooked blockers to AI impact is infrastructure. Even the best AI tools won’t deliver value if the underlying systems, ATS, CRM, and talent data, are fragmented or outdated. TA teams need to partner closely with HRIT and data governance to ensure they have a stable foundation for scale.
What Should TA Leaders Be Doing Now?
For TA leaders and CHROs, the focus should be on structured readiness, not reactive adoption. That doesn’t mean rolling out every new tool or jumping on hype trends. It means thinking strategically about where AI can support core goals like improving workflow efficiency, enhancing candidate experience, or surfacing underrepresented talent.
Here are a few actions that progressive leaders are already taking:
Define clear use cases where AI can add value, starting with sourcing, scheduling, and candidate communications.
Invest in TA professional upskilling, especially around prompt engineering, predictive analytics, and ethical reasoning.
Encourage safe experimentation through structured learning spaces, team jams, or AI hackathons.
Choose secure platforms that support responsible use and align with company risk policies.
Track outcomes like time savings, response rates, and TA professional satisfaction, not just cost reduction.
Procurement with Purpose: Avoiding the Shiny Tool Trap
With so many AI vendors flooding the market, discernment is critical. Teams should look past flashy demos and ask tougher questions:
What data is the model trained on?
Is the algorithm explainable and auditable?
How does it integrate into existing TA workflows?
Can we govern this tool in alignment with company risk policies?
The most sophisticated teams aren’t just buying tools, they’re evaluating partners.
Responsible AI: From Ethics to Governance
As AI tools evolve, so do the risks. Algorithms trained on biased data can reinforce inequity. Black-box models may produce impressive outputs without transparency. The responsibility for maintaining fairness, inclusivity, and data security still sits with humans.
TA teams should implement clear policies on responsible AI use, including:
Oversight committees involving TA, Legal, DEI, and Data Governance
Review checkpoints in the workflow for all AI-generated recommendations
Documentation of how decisions were made, especially in high-impact hiring situations
Final Thought: A More Human, More Strategic TA Function
The best TA professionals will always be those who build trust, influence hiring decisions, and spot potential others might miss. AI doesn’t replace those qualities, it amplifies them. It gives professionals back the time and insight they need to operate at a higher level.
As a partner to many organisations navigating this shift, we’re seeing that AI success doesn’t come from tools alone. It comes from mindset change, capability building, and cultural integration. There’s no one-size-fits-all playbook, but there is a clear opportunity to rethink what great recruitment looks like in the age of AI.
Reframing workforce disruption in the age of AI
No one really knows what the future of work looks like right now. Not with certainty. Not really.
We don’t know what jobs will exist five years from now, what skills will define success, or what careers our kids will be preparing for. Roles are dissolving, industries are mutating, and the whole idea of a ‘career path’ is being rewritten in real time.
It’s unsettling—and if we’re honest, a bit disorienting. But it’s also wide open and so, so exciting!
And that’s the bit we sometimes forget: the future isn’t just happening to us—it’s something we get to help shape.
That’s the opportunity. It’s right there, hiding in plain sight. Ours to influence—as teams, as talent professionals, as humans.
“If you’re waiting for clarity, you’re already behind.”
It’s a line I’ve caught myself repeating lately—to clients, in team calls, and honestly, in my own head. Because let’s face it, the AI conversation is messy. There’s excitement, confusion, panic. Every other headline feels like it’s predicting the end of work as we know it.
But here’s the uncomfortable truth that no one’s really saying out loud: this isn’t an AI problem—it’s a wake-up call for all of us.
We’ve been talking about disruption for years. Digital transformation. Agile. Remote work. The metaverse. Take your pick. But AI feels different, doesn’t it? Not because it’s more dangerous—but because it’s exposing things we’ve maybe avoided for a while. The reality that our org structures, hiring habits, and a lot of our business logic were built for a different era.
This isn’t a moment of replacement—it’s a moment of recalibration. Treat it like a threat and you’ll stall. Treat it like an opening and you might just help shape what’s next.
Let’s bust a myth right up front: AI is not here to wipe out the workforce.
According to LinkedIn’s 2024 Workforce Report, while 80% of jobs globally will be impacted by AI in some way, only 7% are at risk of being fully automated. That’s not an extinction event—it’s a shift in how work gets done.
And if we zoom in, it’s actually pretty exciting. What’s going away isn’t human value—it’s repetition. Redundancy. The stuff no one really enjoyed doing in the first place.
Josh Bersin’s research hits the nail on the head: AI is accelerating the shift away from rigid job titles and towards capability-based thinking. The question is no longer “What role do we need to fill?” but “What outcomes do we need to drive—and what human strengths will get us there?”
It’s less about someone’s CV, and more about how fast they can learn. Less about where they’ve been, more about how they adapt.
So what’s being disrupted here? Not people. Not even work, really.
It’s how we frame value. And that requires a different kind of leadership—from all of us.
Gartner recently shared that only 24% of HR leaders believe their organisations are truly ready for a workforce that blends AI and human capability. That’s not a failure—it’s a signal. One that tells us we’re in a moment of leadership transition, not crisis.
And honestly? That’s fair. For years, transformation was something we planned for. We mapped it out, scoped the budget, ran the comms plan. But AI doesn’t play by those rules—it’s unpredictable, evolving daily. Which means we need to show up differently.
Leadership now isn’t about control—it’s about curiosity. It’s about asking better questions, being okay with ambiguity, and rethinking how we define performance and potential.
The shift is already happening. Now it’s about how we choose to respond.
The organisations getting this right aren’t scrambling. They’re designing.
They’re moving beyond job titles and investing in dynamic skill architectures. Everest Group highlights this in its research—high-performing businesses are prioritising ecosystems of capability over static roles.
They’re also recognising that Talent Acquisition isn’t just about hiring anymore—it’s about navigating the future. TA leaders are getting pulled into conversations around workforce design, internal mobility, and AI literacy—because how we find and grow people is business adaptability.
And yes, that means hiring differently. The most agile teams are recruiting for curiosity. For humility. For learning velocity.
They’re embedding AI fluency across departments—not just in tech teams. They’re working closely with L&D to make upskilling part of the everyday employee experience.
LinkedIn’s latest Talent Trends report backs this up—internal talent marketplaces are gaining traction, helping match people to projects in real time. It’s not just smart retention—it’s smart risk management. A way to build capability that actually sticks.
Now, let’s bring it back to the humans. Because even with all this talk of tech, they’re still the centre of the story.
But the bar is shifting. The future doesn’t need humans who can repeat tasks. It needs humans who can reimagine them.
People who ask “what if?” more than “what now?” People who are endlessly curious. Who get comfortable with discomfort. Who adapt—not because they have to, but because they want to.
This next chapter belongs to the fast-learners. The open-minded. The ones who move before the roadmap is printed. Who are okay with not having all the answers—but aren’t afraid to start asking better questions than the machine can answer.
Being human is no longer the default advantage. It’s a differentiator. But only if we’re willing to evolve.
And for TA leaders?
This really is the moment.
You’ve spent years proving talent isn’t just about filling roles—it’s about building futures. Now, the table has moved—and you’re already sitting at it.
Because when skills are the new currency, the people who understand talent are the people who understand business.
This is also a moment to lead differently.
To partner more boldly. To speak up more often. To help shape—not just support—the future of work.
Because AI isn’t a cost-cutting tool. It’s a spark. And what it lights up will depend on the people—and principles—guiding the change.
We’re not facing a workforce apocalypse. We’re facing a wake-up call.
AI won’t replace people. But it will replace mediocrity. It’ll ask us to think harder about how we lead, how we hire, how we learn—and how we measure value.
The ones waiting for certainty might get left behind. But the ones who embrace a bit of discomfort? They’ll be the ones who build the future.
AI won’t replace people. But it will replace mediocrity.
It’ll force us to rethink how we lead, how we hire, how we learn—and how we measure value.
Join industry experts from AMS and SAP Fieldglass at a roundtable on Tuesday 14th May in our own offices at London Wall as we dive into challenges and opportunities facing the Transport, Engineering and Construction industries in accessing the skills and talent they need for the short and longer term.
Whether you’re just starting out on your journey , or looking to take your established contingent labour program to the next level, we’ll share the latest insights and industry specific innovation designed to help you optimise your supply chain to:
Access critical skills at speed
Diversify talent pipelines
Achieve workforce compliance, visibility and spend control.
Spaces are limited, so register here to secure your seat!
Our recent roundtable discussion covered how technology can be leveraged to help optimise your non-permanent workforce.
From AI to the evolving role of MSPs, and the importance of presenting a unified business case for tech change within your organisation, here are our 6 key takeaways:
1. AI: A Game-Changer Across the Talent Lifecycle
AI is actively streamlining sourcing and delivery processes, offering opportunities to enhance efficiency and precision. Its adoption, however, has proven much easier within Contingent Workforce Solutions (CWS) compared to permanent hiring scenarios.
AI should and is being deployed in contracting, writing Statements of Work (SoW), defining milestones, and managing supplier performance.
Possible resistance, stemming from job insecurity and uncertainty about AI’s role, was acknowledged. Participants agreed that addressing this resistance through change management and clear communication is essential.
2. Future of MSP and Workforce Ownership
The ownership of non-permanent workforces remains blurred, with Procurement traditionally owning Services Procurement/SoW while HR increasingly seeks visibility and influence in this domain.
Unified governance, combining input from HR, Procurement, and Finance, was seen as the solution to enforcing meaningful change.
3. Vendor Management Systems (VMS): Opportunities and Challenges
Smaller businesses often face difficulties with VMS implementation due to the complexities of vendor relationships and lack of accountability for results. While larger solutions offer robust governance, start-ups can be a cost-effective first step away from basic spreadsheets.
The importance of identifying a strong tech owner and fostering real accountability emerged as critical to successful VMS management.
It was agreed that despite impressive demos, many VMS platform implementations and adoption falter in real-world scenarios without the right partner to ensure success.
4. Technology Maturity and Incremental Change
Discussions on the technology maturity model revealed variations among businesses. Most participants identified themselves at levels 1 and 2.
Over-reliance on incremental change was flagged as a potential risk, leading to inconsistencies and complexity, a strategic partner is vital to help businesses navigate this.
5. Building a Robust Business Case
CFO alignment and early Finance involvement are critical when it comes to obtaining buy-in for technology change and implementation. Market insights and ROI analysis can further strengthen the case for investment.
Being clear on the key business drivers for the change, the benefits it will enable and the roadmap to implementation are all crucial factors to consider. Improvement in the time-to-hire metric may be a component along with an emphasis on achieving “more for less”, enhancing efficiency Linking strategic objectives to measurable outcomes will also foster stakeholder support.
6. AI-Powered Tools and the Road Ahead
Generative AI was recognised as a powerful ally in reducing the time-intensive burden of administrative tasks. Many VMS providers are releasing tools, supplementing their platforms such as SAP Fieldglass Joule which assist in:
Automating the creation of business cases, significantly minimizing the manual effort required from managers.
Generating standardised documents such as Job Descriptions (JDs) with precision and speed, allowing HR teams to focus on strategic initiatives rather than repetitive tasks.
This ability to simplify routine processes is not only streamlining operations but also creating opportunities to redirect human talent towards more value-adding activities. In addition, tools that support with the visibility of the total work force are increasingly popular for key hiring approaches such as skills-based hiring and determining the best route to market, empowering organisations to align talent strategies with business goals effectively.
The next roundtable in our series will be held in May 2025. You can also read our last article in this series, 6 smart strategies for reducing costs through your non-permanent workforce here.
The Tech & Digital Contractor market is an ever evolving one, much like the skills required to work within it.
Recently it has been a challenging environment with all the ups and downs of the fairground, culminating in the last 12 months with a scarcity of opportunity and stagnant day rates. KPMG’s CEO said hirers face a “fiscally restrained” Spring Statement 2025, but there are some aptly timed ‘green shoots’ appearing.
ContractorUk.com states “For the first time since August 2024, the numbers on the REC’s index for temporary tech roles last month pointed upwards… The IT contractor jobs market carved out a potential foothold for growth in February 2025.”
Changes to the National Living Wage, Employer’s National Insurance and subsequently, The Employment Rights Bill are contributing to a cautious outlook, but technical advancements aren’t waiting around for anybody.
Organisations are increasingly under pressure to adopt AI functionality to remain competitive and the UK Government has clearly set out their ambition under the AI Opportunities Action Plan. This aims to harness the power of AI to transform various sectors and improve the quality of life for citizens.
Many employers do not currently have the internal talent to scope, lead and deliver in this space and they are likely to look to the contractor population.
Talent in Demand
Unsurprisingly AI skills top the list of those most in demand in the contingent market, closely followed by (and likely in conjunction with) cyber security, all-things data, cloud computing and python development.
Artificial Intelligence (AI) and Machine Learning: These skills are crucial for developing intelligent algorithms and models that drive automation and predictive analytics. The technology is moving so quickly that there are few true experts in the field; all and any commercial exposure to AI will be in demand.
Data Science and Analytics: With the increasing amount of data being generated, professionals who can analyse and derive insights from data are in high demand.
Cybersecurity: As cyber threats continue to evolve, skills in intrusion detection, risk assessment, and data protection are essential for safeguarding digital assets.
Cloud Computing: Expertise in cloud platforms and services is vital as more companies migrate to cloud-based systems.
DevOps and Automation: These skills help bridge the gap between development and operations, improving efficiency and collaboration.
Blockchain: Beyond cryptocurrencies, blockchain technology is being used in various industries for secure and transparent transactions.
In the last year many organisations have evolved to hybrid working models. This has been mandated to permanent employees and therefore frequently includes contractor populations. There will still be some fully remote opportunities, or potential exceptions based on skills v needs – but realistically, most contract opportunities moving forward will require some onsite presence.
Soft Skills Revolution
One of the most interesting aspects of the GenAI ‘revolution’ is the recognised requirement for a range of soft skills in employees within the field. These skills include critical thinking, problem-solving and collaboration alongside the ability to communicate the strengths and weaknesses of using artificial intelligence, as well as when not to use it.
Qualities like creativity, persistence and decision-making will grow more and more important as AI and the very nature of the professional world continues to evolve. While technical skills will always prove important, intangibles like these can often make the difference between two equally skilled candidates.
Non-Traditional Role Parameters
In the last 12-18 months within the UK Tech & Digital market, there has been an increased demand for candidates with blended skill sets—roles that now often combine expertise in multiple disciplines.
For example, there is an upward trend in full stack development as opposed to front or back-end disciplines; DevOps processes (such as CI/CD, Kubernetes) added to support or development roles; Data aligned roles requiring significant Python or R coding; and most needs requiring diverse levels of cloud storage or security capabilities – stand-alone Cloud Engineers are now a rarity.
Advancements in using AI to streamline hiring processes have also driven a ‘skills-first hiring” trend, led by the Tech Sector and including companies such as Google and Apple. Approximately 50% of technology job postings no longer require degrees and 80% of employers prioritise demonstrated abilities over academic credentials.
Forbes writes the “These organizations recognize that conventional degree requirements often exclude qualified candidates who’ve developed valuable skills—particularly in high-demand areas like machine learning, data science, and automation—through alternative means.”
Legacy Alive & Well
The headlines will always focus on the shiny new toys (not taking away from the leaps forward GenAI has brought to the world) but organisations can’t just wipe their tech estate slate clean and start again.
Financial Services and Public Sector bodies offer contracting opportunities for those underpinning and therefore critical legacy tech stacks, on which new functionality is built. New arrivals into the contracting market will not have these skills, and expertise will become a commodity in demand.
IT Contracting as an Opportunity
Robert Half stipulates that “Contract work will become a significant employment model in 2025, encompassing freelancing, right-to-hire positions, and on-call work. Companies increasingly use contractors to fill critical skill gaps, especially in AI, technology, and marketing, with about 40% of managers planning to use contract professionals for key projects.”
Contingent Tech & Digital offers scope to broaden expertise – no client has the same tech stack – and gain valuable knowledge and differing industry experience. Contractors have always needed to stay relevant and therefore employable: with the speed of technical advancement this is now more common in permanent roles and therefore even more critical. An appetite to evolve, a curiosity to learn, and a willingness to step outside traditional role parameters to gain new skills, will make you stand out from the crowd.
And on that final note (with a nod to the volume of AI generated CVs and applications), to maximise your success, ensure your online persona and/ or CV are representative of skills and clear on capability; if they are technical, include the hobbies and online hangouts evidencing your interests; and build credibility with TA, Recruiters and Hiring Managers and leverage your professional network.
So, the roller coaster may be stomach churning at times, but it is fast, and it is thrilling, and few really want it to end!
The conversations at Workday’s FY26 SKO in Las Vegas made one thing evident: AI is no longer just a tool for optimization—it is becoming an autonomous force reshaping the enterprise.
While artificial intelligence has been embedded in HR technology for years, the discussion has evolved. The focus is shifting from AI as a support mechanism to AI as an independent agent capable of executing tasks, making decisions, and orchestrating workflows.
At the center of this transformation is Agentic AI, a departure from traditional automation. Rather than augmenting human effort, Agentic AI fundamentally redefines roles, workflows, and decision-making structures.
The Shifting Landscape of Hiring
Talent acquisition has long been characterized by inefficiencies. Recruiters manage administrative burdens, hiring managers navigate approval bottlenecks, and candidates expect seamless, personalized experiences that many organizations struggle to deliver. AI-powered automation has addressed some of these pain points. Agentic AI introduces a different paradigm.
By deploying autonomous AI agents, organizations can move beyond task automation to true orchestration of the hiring process. These agents do not wait for human input, rather they can:
Identify what needs to be done
Make decisions based on real-time data
Execute tasks across multiple systems
Learn and adapt over time
This represents a shift from AI as a passive assistant to AI as an active agent capable of managing hiring workflows with reduced human intervention. The implications are significant. Instead of recruiters focusing on process execution, their roles can evolve to emphasize strategy, relationship-building, and candidate engagement. Hiring managers can spend less time navigating approvals and more time making informed talent decisions.
Challenges of Scaling Agentic AI
The adoption of Agentic AI presents challenges that organizations must address to ensure effective deployments.
Key considerations include:
Accountability: As AI agents take on decision-making responsibilities, defining ownership and oversight becomes critical.
Transparency: Organizations must establish mechanisms for tracking and auditing AI-driven actions to maintain compliance and trust.
Integration: Many HR technology ecosystems remain fragmented, raising questions about how AI agents will operate across disconnected systems.
EthicalConsiderations: AI-driven decision-making introduces risks related to bias, fairness, and regulatory compliance.
Governance: The spread of AI agents requires organizations to establish frameworks for monitoring their scope, actions, and impact.
Striking the right balance between innovation and control will determine the success of Agentic AI adoption.
Workday’s Vision: The Agent System of Record
A key takeaway from Workday’s SKO was its strategic commitment to an enterprise-wide AI, with the Agent System of Record at the core. This concept is designed to provide organizations with visibility, governance, and control over autonomous AI agents as they become embedded in business operations.
Just as Workday redefined how companies manage financial and workforce data, the Agent System of Record will serve as the foundation for managing, deploying, orchestrating, and measuring AI-driven agents across the enterprise.
Closing Thoughts
AI agents represent a new category of enterprise resource. Organizations must manage, track, and optimize to fully realize its value. As businesses integrate these autonomous systems, governance and strategic oversight will be essential.
Workday has positioned itself at the center of this transformation, envisioning a future where AI agents operate alongside human employees and financial systems to drive business outcomes. This shift is not just about automation—it is about fundamentally redefining how work gets done. Organizations that embrace this new model will be better equipped to navigate the evolving AI landscape and unlock new levels of efficiency, decision-making, and innovation.
Trust, Social Proof, and the Future of Hiring
The way hiring works is changing rapidly. At the heart of this shift? Trust.
In today’s market, trust is no longer just an advantage—it is a necessity. Candidates, like consumers, rely on social proof—the psychological principle that people look to others to validate their decisions. This is why employee referrals, alumni rehires, and internal mobility are becoming the most effective hiring strategies.
The evidence supports this. Referred candidates are not only hired faster—they stay longer as well (LinkedIn Talent Trends). When someone recommends an organisation, new hires already have a level of trust in the culture and expectations.
There is also a growing boomerang effect, where former employees are returning in record numbers. Organisations are recognising that when an individual chooses to come back, it is a strong endorsement of the company’s credibility (Gartner Research). A great workplace is not just one that attracts new talent—it is one that people actively want to return to.
Industry thought leaders, including Josh Bersin, have noted this trend. The most effective hiring teams are no longer solely focused on sourcing external candidates—they are investing in high-trust networks because referrals, alumni hires, and internal mobility lead to stronger hiring outcomes at a lower cost.
What is driving this shift? Two key factors: the power of social proof and a declining trust in traditional hiring methods.
The Social Proof Effect: Why People Trust People More Than Brands
We are living in an age of influence, but not in the way social media suggests. Influence today is not just about follower counts or carefully curated employer branding campaigns—it is about authentic, human credibility.
People trust people, not brands – A referral from a trusted colleague is not just a recommendation; it is proof that an organisation is worth considering.
Referrals reduce uncertainty – Changing jobs is a major decision. When someone you respect endorses an opportunity, it immediately feels more credible.
Boomerang hires strengthen employer reputation – When former employees return, it sends a strong signal: this is an organisation worth working for. Gartner research shows that organisations investing in alumni engagement achieve higher rehire rates and stronger reputations.
AI-generated outreach lacks social proof – Candidates can easily identify when a LinkedIn message has been rinsed and repeated by a bot after receiving the same template 10 times. Without human connection, it feels impersonal and unconvincing.
And this is not just theory—organisations are seeing tangible results.
One global technology company recently overhauled its alumni hiring strategy and experienced a 40% increase in rehires over two years. Why? Because trust was already established. These former employees were not taking a risk—they had direct experience with the culture, leadership, and business operations. That trust led to faster onboarding, higher engagement, and a stronger commitment to success.
This is the power of social proof—it builds trust, accelerates hiring, and improves retention.
Why Offboarding and Redeployment Are Essential to a Strong Talent Ecosystem
However, alumni networks and boomerang hiring only succeed if organisations handle offboarding and redeployment effectively.
Poor offboarding damages brand loyalty – If an employee has a negative departure experience, they are unlikely to refer others or return. Research from Workday shows that organisations with structured, positive offboarding programmes are twice as likely to rehire former employees.
Negative offboarding experiences harm employer brand – A poorly managed exit process often results in negative Glassdoor reviews and reputational damage, which discourages future referrals.
Redeployment prevents unnecessary talent loss – Organisations that actively support employees in transitioning to new internal roles rather than defaulting to redundancies retain institutional knowledge and sustain trust.
Best and Worst Practices in Offboarding
Some organisations treat offboarding as a transaction rather than an opportunity. Impersonal redundancies, delivered through mass emails or pre-recorded video messages, with no transition support or career assistance, leave departing employees feeling undervalued. This approach damages trust, erodes employer reputation, and often leads top talent to join competitors instead of returning later.
In contrast, leading organisations take a long-term view of offboarding. Rather than severing ties completely, they provide structured alumni programmes, networking events, and even career coaching for departing employees, ensuring that relationships remain strong. Organisations that adopt well-managed exit strategies experience higher alumni engagement, stronger employer branding, and an increase in boomerang hires.
Organisations investing in structured offboarding and alumni engagement see up to a 20% increase in rehires (Harvard Business Review).
Redeployment strategies that prioritise internal mobility reduce turnover by 41% and strengthen employee trust (LinkedIn Workplace Learning Report).
The Pitfalls of High-Trust Networks: The Risk of Reinforcing Bias
While referrals and alumni hiring can be highly effective, there is an important risk to address: they can reduce diversity and reinforce bias if not actively managed.
The “Like-Me” Effect – Research shows that employees tend to refer individuals who share similar backgrounds, education, and demographics (Harvard Business Review). If organisations are not intentional, referral programmes can result in homogeneous talent pools.
Alumni Networks Reflect Past Hiring Gaps – If an organisation’s workforce lacked diversity in previous years, its alumni pool will mirror those representation gaps. Over-reliance on alumni hiring can reinforce historical imbalances.
Over-Reliance on Known Talent Can Limit Innovation – While trust is crucial, excessive dependence on referrals and alumni hires can reduce fresh perspectives and new ideas.
AI Bias in Referral Matching – If AI-driven talent recommendations are not designed with diversity safeguards, they can replicate existing hiring patterns rather than broaden talent pools (Gartner).
How to Mitigate These Risks
Forward-thinking organisations are already implementing solutions to ensure high-trust hiring networks remain inclusive and diverse:
Diversifying Referral Incentives – Some organisations now offer increased referral bonuses for underrepresented candidates, ensuring that referrals contribute to a broader talent pool (LinkedIn Hiring Trends).
Expanding Alumni Networks Beyond Full-Time Employees – Progressive organisations include former interns, contractors, and contingent workers in alumni networks, widening the scope of potential rehires.
Balancing Referrals with Inclusive Hiring Strategies – Industry leaders have embedded structured diversity hiring initiatives alongside referral programmes to create more balanced sourcing strategies.
The Bottom Line: The Social Proof Revolution Is Here
Hiring in 2025 will not be about volume-based recruiting or relying solely on AI-generated outreach. The most successful organisations will strike the right balance—using technology to enhance trust-driven hiring, not replace human relationships.
The future belongs to companies that integrate AI intelligently—leveraging automation for efficiency, predictive analytics for smarter decision-making, and digital platforms to scale high-trust networks—while ensuring that human engagement remains at the centre of hiring.
Some organisations are already ahead of the curve. They are moving beyond transactional recruitment models and instead building dynamic, trust-based talent ecosystems where AI supports, rather than substitutes, authentic human connections. These companies are strengthening employee advocacy, deepening alumni engagement, and expanding high-trust hiring channels to secure the best talent.
The real question is: Will your organisation use technology to reinforce trust—or allow automation to dilute it?
In the future of hiring, social proof will be the strongest currency—trust built through referrals, alumni networks, and human connections will outperform cold outreach and AI-driven automation on its own
The Bureau of Labor Statistics (BLS) anticipates that 23.1% of all new jobs projected from 2021 to 2031 will be in the hospitality and leisure sector, with the largest increase expected in food preparation and service. Given that there are already an estimated 2 million open jobs in the sector in the US and an aging workforce, this will leave a significant gap in workers to meet demand. The labor market challenges are compounded by the sector having the highest quit rates and the greatest need for in-person work, with over 80% of workers fully on-site.
Battling over the same workers using the same approaches for restaurants, hotels, and retailers will not change the results. In fact, it is risky because while competitors act, those that do not will face higher quit rates and less engaged employees.
Three Strategies to Attract, Hire, and Retain the Best Frontline Employees
Invest in Responsible AI and Thoughtful Automation According to the National Restaurant Association’s Restaurant Technology Landscape Report 2024, 64% of restaurant operators consider their use of technology to be mainstream, yet only 13% think their restaurant is on the leading edge compared to peers. Hiring technology can be a great starting point for investment that will enhance or even transform the experience. Given that in this industry, your candidates are often your customers, it is a great way to embrace and lead the way while also increasing speed and efficiency.
Amplify Worker Voice Constantly seek feedback from your frontline workers, even if it’s hard to hear. Staffing your restaurants, stores, and properties might be step one, but to sustain operations, it is critical to continuously listen and reduce friction so team members are best equipped to deliver on the quality that is most important to guests – happy, friendly, and attentive staff.
Blend Technology with Human-Centered Design 82% of US and 74% of non-US consumers want more human interaction as technology improves. It’s not that humans are resisting technology; quite the opposite. Rather, there are key moments where a human provides connectivity, empathy, and compassion that only human interaction and kindness can deliver. The human touch fosters warm connections and empathy in recruitment, meaning understanding candidates’ aspirations, anxieties, and motivations. By incorporating one or two key touchpoints in a technology-led recruitment experience, candidates have the chance to feel valued and heard as they make a life-altering decision about joining and staying with a company.
In an industry as dynamic and people-centric as retail, restaurants, hotels, and consumer goods the blend of technology and human interaction is not just beneficial – it’s essential. By investing in responsible AI and automation, amplifying the voices of your frontline workers, and ensuring a human-centered recruitment experience, you can create a more efficient, empathetic, and engaging environment that ultimately leads to achieving business outcomes.
Without a doubt, one of my favourite milestones during the year is bringing our leadership team together, in one room, for two days of thought-provoking discussions. Thanks to a combination of outstanding speakers and an extremely engaged and collaborative team, earlier this month we had a phenomenal time together.
So, which topics came up again and again and really left me thinking about their impact on the future of TA and what we need to focus on for the rest of this year and beyond?
Skills-based hiring is essential to business success
Skills shortages continue to be a significant challenge for organisations globally and a move to skills-based hiring and innovative approaches are essential to business success. Companies must put emphasis on skills and abilities over qualifications, in turn resulting in more efficient and inclusive hiring.
Bridging the green skills gap, in particular, is of critical importance as 82% of talent leaders feel that hiring talent with green skills is moderately or extremely challenging. We address these issues in detail in our recent whitepaper on tackling the skills crisis for a sustainable future.
Data, data, data
If you’ve read our Talent Climate Series, you’ll know that everything comes back to data. Being able to analyse and interpret data and translating our findings with our clients will allow us to elevate conversations and ensure our solutions are relevant to their specific needs and solving their pain points.
And this goes hand in hand with my next point..
Tech advancements are a key disruptor for how we do things
The buzzword of the moment – AI. It’s no surprise that generative AI is fundamentally revolutionising the talent acquisition world, from improving candidate experience to reducing time to hire.
We must stay ahead of the curve in every aspect of our talent acquisition lifecycle by continuing to implement more efficient and effective AI powered solutions for a competitive edge.
Incorporating a social value strategy is no longer a ‘nice to have’
We were delighted to be joined by our Crown Commercial Services client who brought to life how we’ve stayed ahead of the curve to stand out from our competitors, overcome challenges, and drive outcomes for our clients.
Not only did our client discuss the importance of technology in our framework, but they highlighted the significance of working together to create an impactful social value strategy and how this is essential to attract and hire diverse talent.
Our Diversity & Inclusion Alliance has been instrumental in supporting the social value agenda for our clients as we’ve tapped into the expertise and insights of our hub of DEIB (Diversity, Equity, Inclusion & Belonging) focused partners to inform talent strategies, weave this into company culture, and in turn improve diverse representation across our clients’ workforces.
At the end of the two days, I asked the team to describe the offsite and these critical conversations in one word – inspired, insightful, excited and collaborative are just some of the words that stood out to me. I used the word ‘proud’ after something that our client said during the event really resonated with me: ‘it’s a real honour to be part of the AMS agreement, and that’s down to the people’.
With key market insights underpinning everythingwe do, our ‘One AMS’ mentality and the unrivalled expertise and passion of our people, I truly believe we are unstoppable.
One of the most prevalent questions that hiring leaders ask my team is something to the effect of, “What talent technologies should we use?” When probing a bit further, the question usually turns to how to decrease cost, increase speed, drive efficiencies, improve speed to productivity, and/or increase quality.
Ultimately, the underlying question is, “How can we create better hiring experiences that result in significantly better business outcomes?”
Historically, we may have said that HR, and more specifically Talent Acquisition, is a laggard when it comes to having access to great technology compared to other parts of an organization. That’s no longer the case. The technology exists, but the lag now is in putting the right solutions together and orchestrating the experiences. This means that we can now lead the hiring experience design, particularly in high-volume hiring, based on technology first.
Instead of trying to determine what recruiting teams will do and then plugging in enabling technologies based on gaps or manual tasks, lead with the technology and then determine where and how people should be activated into the experience to achieve better outcomes.
If we look at the common challenges in high-volume hiring, they are generally around high no-show rates, low retention, and a mismatch of candidate and company expectations. So, what roles should exist in a high-volume recruitment team if you already have a technology-led experience that enables application to offer in a matter of minutes?
Insights and Success Project Managers: Team members that are looking at sentiment analysis and performance metrics across all personas in the hiring process, identifying early indicators, and creating action plans. These roles would be highly skilled in using AI and insights-based data and analytics to develop systematized action plans that guide Brand and Attraction Strategists, Digital Experience Analysts, Recruiters, and other team members on where to focus. Think about these individuals as having a Scrum Master-like role.
Brand, Content, and Campaign Strategists: Team members that deeply understand personas and localized nuances, focusing on leveraging the company’s EVP to develop and execute content and marketing strategies through multi-channel approaches. These roles are highly skilled in leveraging technologies such as content management systems, programmatic advertising, and social listening.
Digital Experience Analysts and System Administrators: Individuals who focus on creating the experience and optimizing digital interactions while also ensuring the core recruiting platforms are configured in a way that optimally supports the process. These individuals will collaborate cross-functionally with Employer Brand/Recruitment Marketing, Recruiters, Analysts, TA leaders, and TA technology partners to evolve the experience, perform system configuration, develop prototypes for evolved experiences, and provide overall project management to execute iterative changes.
Experience Agents: Experience agents are team members that ensure candidates do not get stuck or slip through the cracks. While Digital Experience Analysts will undoubtedly focus on ensuring candidates are cared for through strong technology configuration and design, there may be times when a candidate needs an off-ramp, or a person needs to step in. These roles are like customer service representatives that we may experience in our consumer life when the self-serve or digital assistant just can’t quite resolve the situation for us.
Recruiters: I hope you did not think I was going to say that Recruiters do not have a role in technology-first high-volume hiring! At the end of the day, we are all people who crave human interaction, including the most introverted individuals. Even with the best technology, there is a level of trust and encouragement that only human-to-human interaction can deliver. Recruiters have a critical role in high-volume hiring to have consultative conversations with managers and handle the important touchpoints that it may take to convert and retain candidates in an organization.
Now the roles may not be labeled exactly as these titles or there will be some nuances in the skills and roles for your specific business. When you have successfully designed and activated a technology-first high volume solution, you likely will not need as many people.
However, the roles and type of the work being done by people is increased in strategic value and, overall, the solution should yield materially improved business outcomes. These outcomes should be measured through sentiment analysis, time, quality, and speed, as well as linked to overall business outcomes such as productivity and sales metrics.
