If you’ve been waiting for AI to feel less confusing before you do anything with it in your company’s workforce planning and people strategy, that wait is costing you.
That’s not fear-mongering. It’s just the reality of where things are heading. According to Deloitte, 75% of enterprises expect to change their talent strategies within two years because of generative AI. And SHRM reports that 90% of CHROs believe AI integration will be critical to boosting productivity in the years ahead. The companies figuring this out now are building a real competitive edge — not just in how fast they hire, but in how well they plan, develop, and retain their people.
The good news? You don’t need a massive HR department or a six-figure tech budget to start. Integrating AI into workforce planning doesn’t have to be an all-or-nothing overhaul. It’s a series of practical, intentional steps — and most of them are more accessible than you think.
Here are six ways to do it.
1. Use AI to Get Real Market Data (Before You Make a Single Hire)
One of the most underused applications of AI in workforce planning happens before a job ever gets posted.
Most small and mid-sized businesses set compensation and benefits based on gut feel, outdated surveys, or what they’ve always paid. That’s a problem in a market where candidate expectations shift constantly and your competitors are adjusting faster than you are.
AI-powered market data tools can tell you what similar roles are paying right now, in your specific market, at your company’s stage and size. They can surface what benefits are becoming table stakes for retention in your industry, how competitive your current package is compared to the market, and what skills are becoming more or less valuable over time in specific roles.
That kind of intelligence used to take weeks to pull together and was often stale by the time it was ready. Now it’s available in real time — and it should be informing your workforce plan before you decide headcount, structure budgets, or kick off a search.
At Hoops, our Market Insights Reports do exactly this. It’s one of the first things we bring to any workforce planning conversation, because the data changes everything downstream — from whether your comp is competitive to whether the role you’re trying to fill is even realistic in today’s market.
2. Integrate AI Into Recruiting — But Keep Humans Where They Matter
If you’re not yet using AI in your recruiting process, you’re spending a lot of time on work that doesn’t require you.
We wrote a full blog on this — AI in Hiring: What It Actually Does Well and Where You Still Need People — and it’s worth a read. But the short version is this: AI creates real leverage in the first-line filtering work, and that’s where most of the time drain is.
Things like:
- Writing strong job descriptions: AI can help you tighten the language, add relevant keywords, and make sure you’re attracting the right candidates, not just more candidates.
- Resume screening and scoring: AI can scan hundreds of applications in seconds and surface the best fits, so your team spends time on the strongest candidates, not the whole pile. At Hoops, Hula AI scores each applicant on a 1-to-5 star scale with a plain-language summary of their strengths and gaps. No more opening 200 resumes hoping to find something.
- Programmatic job advertising: Instead of manually picking job boards and hoping for the best, AI places your listing across multiple platforms and automatically shifts your budget toward the sources producing better applicants.
- Workflow automation: Scheduling, follow-ups, status updates — AI handles the back-and-forth so your team doesn’t have to.
- Reducing bias: AI evaluates candidates against your job requirements consistently, removing many of the human bias variables that creep into early-stage screening.
One important caveat: AI is powerful at first-line filtering, but it cannot replace the human judgment needed to assess culture fit, read between the lines of a conversation, or recognize potential that a resume undersells. Use AI to narrow the field, but always use real people to make the later decisions. That balance is everything.
3. Use AI to Give Your Team Lift
Although often overlooked, it’s one of the highest-ROI moves you can make: using AI to make the people you already have more effective.
When AI takes repetitive, time-consuming tasks off your team’s plate, such as drafting communications, pulling reports, organizing data, and summarizing meeting notes, it frees them up to do the higher-value work that actually moves the business forward. We’re not suggesting cutting headcount, but maximizing individual productivity.
For instance, if you’re trying to decide whether to hire or whether your current team can absorb more work, AI adoption can genuinely shift the math. A team that’s spending 30% of their time on manual, repetitive work often has more capacity than it looks like on paper. Give them the right tools and training, and you may find you can scale without the headcount you thought you needed, or that you can redirect attention to the gaps that actually matter.
Allowing them to learn new, highly valued skills like AI is a great way to boost retention. Investing in tools that make their work easier shows you’re thinking about their experience, not just your efficiency.
The key is being intentional: identify which tasks are creating the most friction, look for AI tools that address those specifically, and build in time for your team to actually adopt them. Dropping a new tool in someone’s lap without the right support is not what we’re recommending, nor will it give you the results you want.
4. Build Smarter Onboarding and Retention Strategies With AI
Hiring is only half the equation. If you’re spending money to bring people in and then losing them at six months, you likely have an onboarding and/or retention issue.
AI can have real benefit here, too, and most companies aren’t using it.
- In onboarding: AI-powered workflows can automate the role-based journeys new hires go through — sending the right information at the right time, triggering manager check-ins, and making sure nothing falls through the cracks. Companies with strong onboarding improve retention by up to 82% (Brandon Hall Group). AI helps you build that consistency without making someone manage it manually every time.
- In retention: AI tools can help you identify patterns that signal someone is at flight risk before they give notice — engagement data, survey trends, tenure markers, performance signals. That gives you a window to act instead of react.
- In benefits and career planning: Using market data (see point one), AI can help you understand what benefits and career path structures resonate with different role types — so you’re not guessing at what keeps people around. A field supervisor is motivated differently than a project engineer. Your retention strategy should reflect that.
None of this replaces real relationship-building between managers and their teams. But it creates structure and visibility that make it possible to lead more intentionally, even when you’re running lean.
5. Use AI to Actually Do Something With Your Survey Data
Most companies collect employee survey data. Very few actually use it.
It sits in a spreadsheet or a dashboard, someone looks at the overall score, and then the organization moves on. What’s the point if it doesn’t drive real positive change?
Here’s where AI changes the game: it can take large volumes of survey responses and surface the real themes. It can identify which departments or tenure groups are showing early warning signs. It can give you actionable insights, and not just data, so leaders know where to focus and what to address first.
Gallup reports that employees who feel heard are 4.6x more likely to perform at their best. But the listening only works if you’re actually processing what you’re hearing and acting on it. AI makes that possible at a scale most HR teams could never manage manually.
At Hoops, our Survey Experiences are built to do exactly this. We design customizable surveys at key lifecycle moments (onboarding, mid-year, exit) with AI-driven insights that connect feedback to real business outcomes like retention, engagement, and performance. All designed to help you make clearer, actionable decisions that impact ROI.
6. Use AI to Identify Skills Gaps and Plan for What’s Coming
Workforce planning isn’t just about filling today’s open roles. It’s about making sure your team has the skills your business will need six months, one year, and three years from now.
That’s hard to do when the pace of change is this fast. According to the World Economic Forum, 59% of the global workforce will need reskilling by 2030 — and the skills that matter most are shifting faster than traditional planning cycles can track.
AI can help you get ahead of this. By analyzing role data, market trends, and internal performance signals, AI tools can identify which skills are becoming more critical in your industry, where your current team has gaps, and whether it’s smarter to hire, reskill, or restructure to close them.
This is where AI workforce planning moves from reactive to genuinely strategic. Instead of scrambling when you realize you’re behind on a skill set, you can build a roadmap and have clear guidance on how to address it through hiring, development programs, or internal mobility.
One area worth planning around specifically right now: AI literacy itself. As more tools enter the workplace, the employees who know how to use them — evaluate their outputs, work alongside them effectively, apply them to real problems — will be meaningfully more valuable than those who don’t. The importance of building a plan to develop your team’s AI literacy cannot be overstated.
Don’t Wait to Start Integrating AI into Workforce Planning
Build Your Winning Team. Hire and Scale Talent.
