How to improve candidate experience with AI

Today, the term ‘candidate experience’ refers to perceptions and attitudes job-seekers develop from interacting with an organization through the recruitment and hiring process. It encompasses every touchpoint that a candidate marks with a company, beginning the moment they first encounter a job posting. Candidate experience continues through the application process with screening, interviewing, offer negotiations and, ultimately, onboarding or rejection.

Unlike customer experience, which has been studied for decades, candidate experience is a relatively new discipline. But its importance has grown dramatically. This growth is in part because the talent market has become more competitive as tech talent’s value outpaces the general workforce’s skillsets.

According to Deloitte, demand for tech jobs in the United States will grow to 7.1 million by 2034. Concurrently, top-tier candidates have increasingly come to expect as much transparency and personalization from employers that they receive from top consumer brands. Agility in the hiring process has become critical in today’s fast-based business landscape.

Candidate experience is shaped by several interconnected elements:

• Are job postings and career pages accessible? 
• Is the application process intuitive?
• Are interviewers professional and prepared?
• How open is the decision-making timeline?

At its core, a positive candidate experience relies on showing respect and dignity to a candidate at every interaction, including those individuals who aren’t selected. 

But for recruiters and hiring managers balancing hundreds of daily interactions with immediate staffing needs, crafting personal and empathetic experiences can be a challenge. Increasingly, hiring teams are integrating AI and automation technologies for time-consuming manual processes so they can better facilitate smooth, effective candidate journeys. Ideally, these human-machine collaborations allow HR professionals to focus on relationship-building, orchestrating overarching talent strategies and performing higher-value work.

To improve the candidate experience, says Tom Mason, Global Talent Operations Offering Leader at IBM Consulting®, “[…] organizations should start by fixing the moments where candidates wait, wonder or work too hard.”

“Application flow, communication and interview progression are the fastest levers,” he says. “AI has the greatest impact when it orchestrates these workflows—automating what doesn’t require human judgment while enabling recruiters and hiring managers to focus on the moments that matter.”

The talent landscape in 2026 looks markedly different than it did even five years ago. The normalization of remote or hybrid work and AI-driven job searches have fundamentally raised the bar for what organizations must deliver during the hiring process. Competitive labor markets combined with the rapid information cycle of social media put organizations searching for top talent in a difficult position.

At the same time, the skills needed to thrive in the modern workforce are changing at a rapid clip, with many positions requiring entirely different skill sets. IBM, for instance, recently changed job descriptions for entry-level workers to reflect this new reality, prioritizing soft skills over easy-to-automate roles.

To meet the moment, talent management strategies will necessarily shift: According to a survey of 750 executives from the IBM Institute of Business Value, 87% of business leaders believe that to get the most out of AI tools, they must have the right people in the right positions. 

In a market where quality candidates likely interview with multiple organizations simultaneously, a slow or disorganized hiring process can be a competitive liability. Organizations that cannot move quickly and deliver a coherent candidate journey might consistently lose their best prospects—or find themselves suffering from a poor reputation. According to Kim Morick, IBM Consulting’s leader for AI-first HR, top-tier talent stays on the market for an average of only 10 days.

Investing in good candidate experience can produce measurable returns over both the short and long term. A carefully crafted, respectful and efficient candidate experience provides palpable long-term value. Even if a prospect doesn’t receive an offer, a great experience increases the likelihood they will apply for an open job with the same company in the future.

According to a Gallup poll, recently hired employees who report having an excellent candidate experience are 3.2 times more likely to feel connected to their organization’s culture. Also, these candidates are 3 times more likely to be extremely satisfied with their work.  

When organizations consistently deliver well-organized hiring experiences, candidates become brand advocates. They might share positive impressions with their professional networks, leave favorable reviews on sites like LinkedIn or recommend an organization to talented peers who are actively job searching. Over time, this organic reputation-building converts into meaningful brand awareness with recruiting advantages. 

Simply put, organizations known for treating candidates well will attract more candidates. The best talent tends to have options, and skilled professionals often research the hiring experience before choosing where to invest their time. A strong reputation for candidate experience draws in candidates who are genuinely enthusiastic about the organizations, creating a higher-quality pipeline. 

A streamlined process is also faster and more cost-efficient. Proactive communication and frictionless scheduling mean decisions are made quickly, allowing candidates to move through their journey quickly. This approach reduces the number of vacant roles. 

A decision to accept a job offer is rarely made in isolation. Candidates weigh not just the compensation package, but their overall impression of an organization formed through the hiring process. Conversely, candidates who view the process as disorganized might be more likely to accept offers elsewhere.

The candidate experience sets the tone for the employee experience. When promises made during recruiting are authentic and consistent with the reality of the role, new hires arrive with reasonable expectations. They are also less likely to experience the disillusionment that drives early attrition. 

In tight talent markets, candidate experience can be an authentic differentiator. Organizations that build a genuine reputation for treating candidates exceptionally well can see results not just in the current hiring cycle, but across years. 

Effective candidate experience programs are grounded in data, even if the process is a highly specific and personal one. “‘Experience’” can feel like such a subjective, fuzzy concept,” says Kimberly Morick, IBM Consulting’s leader for AI-first HR. “But in a competitive talent market, you can’t manage what you can’t measure.”

Morick says that she tells organizations to look at their recruitment funnels through two specific lenses: “The hard data of efficiency and the human sentiment of the process.”

• Application completion rate: Tracking where candidates abandon the application process provides a direct view into how accessible the platform is for potential candidates. “If 70% of people start an application but never finish it,” says Morick, “your process is likely too clunky or too long. You’re losing talent before you even know their names.”
• Time-to-hire: Time-to-hire remains a critical metric of how efficient the candidate’s overall experience is—and long time-to-hire numbers leave businesses suffering. “Top-tier talent only stays on the market for an average of 10 days,” says Morick. “If your time-to-hire is dragging into the 30- or 40-day mark, your ‘experience’ is essentially one of silence and frustration.”
• Candidate drop-off rates: Tracking where candidates tend to drop out of the hiring process helps organizations identify exactly where their bottlenecks are. “Tracking the drop-off rate at specific stages acts like a diagnostic tool,” says Morick. “If candidates consistently vanish after a technical assessment, that’s a loud signal that your assessment is either too grueling or poorly explained.” 

• Candidate net promoter score: The candidate net promoter score (cNPS), which Morick refers to as “the gold standard metric,” asks as simple question: “How likely are you to recommend this company to a friend?” Administered as part of feedback surveys at key stages of the hiring process (for example, post-application or post-interview), the cNPS provides a form of candidate feedback that can be tracked over time and benchmarked against industry standards. 

Today, AI and automation are increasingly deployed to augment human teams throughout the talent acquisition process. The most successful of these initiatives offload time-volume and time-sensitive administrative tasks to machines, allowing HR teams to focus on areas where the human touch is nonnegotiable.

“Most candidate experience initiatives fail not because organizations don’t care—but because they fix the surface instead of the system,” says Mason. “Real improvement comes from redesigning workflows, segmenting for variance and using AI to remove friction while enabling meaningful human moments.”

Improving candidate experience isn’t a one-time project: It’s a continuously iterating process. Carefully designed candidate journeys and select technology interventions can help hiring teams refine how potential hires interact with an organization.

Some best practices for improving candidate experience include: 

For high-volume roles, AI screening tools can limit recruiter burnout and improve the sourcing process. These programs rapidly identify which applicants meet baseline qualifications. In return, this process helps ensure that human recruiter attention stays with the most relevant top candidates. When implemented responsibly, these tools accelerate time-to-review without sacrificing fairness. For example, when IBM redesigned its HR processes, the organization introduced a recruitment tool to use information about the job market and the past experiences of hiring candidates. This approach aimed to not only estimate time-to-fill, but identify candidates most likely to be successful in a specific role. 

Before making improvements, it’s important to understand where friction exits. Map every touchpoint in the process from the candidate’s perspective: Is the career site mobile-friendly? How long does the application take to complete? How many days pass between each stage? 

The job description is often the first significant interaction that a candidate has with an organization. Bloated requirement lists and vague responsibilities can be immediate barriers. Effective job postings communicate roles and expectations clearly and honestly reflect the company culture and expectations of a team. 

Intelligent job matching and search tools surface relevant roles based on a candidate’s skills and experience. This process increases the likelihood that candidates find and apply to roles that are genuinely suited to them. 

As Morick noted, application drop-off rates are a telling metric. If candidates abandon the application process in large numbers, the process is too cumbersome. Best practices include keeping applications concise and streamlining document uploads to prevent redundant information.

Recently, the IT service provider msg created a bot to answer candidates’ job-related questions and encouraged job-seekers to match resumes with the most suitable open positions. This solution accelerated the hiring process, generating 20% more suitable applications and resulting in a double-digit increase in candidate matching to appropriate roles. 

Candidates who don’t know what comes next or when they’ll hear back become understandably frustrated. At every stage of the candidate experience, communicate next steps and expected timelines. During the initial phase of candidate selection, conversational AI tools can handle questions about roles, culture, benefits and basic processes. In return, this action frees recruiter time for higher-value interactions while ensuring no candidate question goes unanswered. 

According to some research, as many as 65% of potential job candidates experience inconsistent communication. Over one third of job-seekers reported an employer failed to acknowledge their application at all, wasting the candidate’s time. Successful organizations send an immediate acknowledgment upon receipt and provide clear timelines at each stage. They also proactively update candidates when timelines shift.

Also, candidates want to be seen as individuals. A great candidate experience means personalizing interactions whenever possible, accounting for role-specific dynamics and the candidate’s specific skillset.

AI and automation tools can personalize interactions and follow-ups without sacrificing efficiency, providing immediate application acknowledgment or reminders about upcoming touchpoints along the candidate journey. Using generative AI or an AI agent, HR teams can personalize interactions at scale. This action helps ensure that no candidate feels left behind. 

The interview experience, whether it’s in person, through a video interview or on a phone call, can be one of the most high-stakes touchpoints in a candidate journey. Unprepared interviewers or inconsistent questions reflect poorly on an organization and undermine candidate confidence. According to Gallup, 44% of successful candidates report the interviews had the greatest impact on their decision to accept a job offer. Ensure that all interviewers have reviewed the candidate’s materials beforehand and are aligned on evaluation criteria. 

Even the most thoughtfully designed candidate experience runs the risk of drifting without a rigorous, ongoing commitment to measurement. High-performing talent acquisition teams treat recruiting processes not as a fixed structure but an ongoing process. This approach might include establishing a core metrics dashboard to track cNPS and time-to-respond metrics at each stage or conducting regular structured audits to provide end-to-end reviews of results.

Onboarding is the moment where every promise made during the recruiting process bears out. In many organizations, the candidate experience and onboarding process operate in isolation; in reality, onboarding closes the loop. Minimizing the gap between recruiting and onboarding requires information sharing between recruiters and the onboarding team. Centralized, seamless data repositories help onboarding leaders catch up to speed quickly and set up new hires for immediate success. 

AI, increasingly used in the hiring process, should support and inform human decision-making rather than replace it. Efficiency gains mean little if they come at the expense of genuine, human interactions.

“The right balance between efficiency and humanity comes from using AI to remove friction—not responsibility,” says Mason. “When automation handles coordination and complexity, recruiters and hiring managers are free to focus on judgment, empathy and trust. That’s when candidate experience improves at scale.”

When considering which processes to automate, organizations should ask themselves where deployments would genuinely improve the candidate experiences. They should ensure talent professionals still handle critical moments like hiring decisions, offer negotiation and working through complex or sensitive candidate situations.

“Improving candidate experience isn’t just about speed, automation or better interfaces,” says Mason. “It’s about memory, fairness, feedback and trust over time. Organizations that recognize candidate experience as a relationship—not a transaction—are the ones that build lasting talent advantage.”