Table of Contents
Introduction
Introduction.
There's no denying that the current state of the tech industry job market presents a compelling situation for today's hiring teams. Workers in tech have faced extensive layoffs due to various economic conditions, yet unemployment in the tech industry sits at a rock-bottom rate of 2%. If you're looking to hire immediately, you might not see many inbound candidates.
But all hope is not lost: 72% of tech workers are considering leaving their current roles. Whether or not your company is actively seeking candidates, talent is always looking at potential employers. It's crucial to cultivate an "always on" employer brand that highlights everything great about your company.
2%
Tech Industry Unemployment Rate
72%
Tech Workers Considering Leaving
70%
Hiring Journey Complete Before Viewing Your Job Page
10
Days Top Tech Talent Averages on the Market
This is why taking an evergreen approach to attracting and recruiting talent matters. Think of it as a proactive process that never stops. By the time a candidate looks at your job page, 70% of their hiring journey has already taken place. And with top tech talent averaging just ten days in the job market, your company has a very small window to make a lasting impression.
With hiring teams leaner than ever, how can they nurture talent, build an "always on" brand, and handle all their other duties with fewer resources? The answer is to empower hiring teams with artificial intelligence: working smarter, not harder.
Section 1
Hiring Hack: Save Time and Streamline with AI.
AI is a great tool that allows you to do more with less, making it perfect for today's hiring teams. From writing job posts to reducing bias, it covers every stage of the process.
If you know how to use it properly, AI can help elevate your brand, write job posts and interview questions, connect top applicants with your open roles, nurture your ideal talent candidate pool, and reduce hiring bias.
Key Stat
88% of companies already use some form of AI in their HR departments. (Mercer)
Part 1: Creating Content: Writing With AI
With more and more AI tools emerging every day, the most well-known is arguably ChatGPT. From developers using AI to decipher code to marketers drafting social media captions, these tools provide useful capabilities for every function. Here are a few activities where AI can save your hiring team valuable time:
Building employer branding
Writing effective job postings
Candidate outreach and correspondence
Creating interview questions
Personalizing candidate feedback
Writing job offer letters
AI tools can help you write engaging employer branding content that resonates with your target audience and nurtures the talent pool. Your employer brand is your company's identity and reputation: it's what you're known for. Building and maintaining it is vital for hiring and retention alike.
To get effective results, the trick is to refine your prompts and give the model the guardrails it needs. Thanks to AI, what once took an hour and countless conversations with subject matter experts can now take less than five minutes.
Part 2: Give Bias the Boot: Hiring With AI
One of the biggest movements in company culture is DEI. As Built In's 2023 State of DEI in Tech Report shows, today's tech talent regards DEI initiatives as an important part of a company's culture. This is a key area where AI can substantially help.
AI can help reduce bias from start to finish: from writing job listings with neutral, inclusive language to screening applicants through applicant tracking systems (ATSs) that create candidate profiles based solely on qualifications. This helps establish a more even playing field and results in a more diverse candidate pool.
The most critical thing to remember: AI tools are only as good as the model they're trained on. If the dataset contains biases, the AI will inherit and perpetuate them. Fortunately, the reverse is also true. Train your model with diverse, inclusive data and it will create more diverse candidate pools.
Here's what your hiring team should do to ensure your AI model supports blind applicant screening:
- Train the model with diverse, inclusive data.If you feed your AI model data from a source where a certain background is dominant, it can lead to bias in the system. Monitor the diversity of your training data continuously.
- Ensure thorough training for model builders.Company employees who build and modify the AI model must receive thorough training in best practices for identifying biases based on race, age, and other demographics.
- Analyze and validate the tool's output.Regularly review the selected candidate pool to monitor for potential bias germinating within your AI model.
- Validate rejected candidates too.Work to identify the reasons your AI system chose to reject an applicant. Even if the model doesn't evaluate race directly, it may indirectly infer it based on a candidate's name.
Section 2
Hiring Hack: Employer Branding and Talent Acquisition With Built In.
By now, your company is ready to start using AI to streamline the hiring process. Built In puts it into practice at scale.
AI is also a powerful talent acquisition tool. These systems help you find the right talent without bias and attract the right candidates to your job postings. Take it from Built In: 4 million tech professionals visit Built In's job boards each month. Built In uses AI to match those candidates with jobs that align with their previous experience and professional goals, saving your hiring team substantial time while ensuring the people who meet your requirements see your posting.
4M
Tech Professionals on Built In Monthly
20K
Tech Keywords Built In Ranks For
72%
of Tech Professionals Considering Leaving Their Current Role
Built In also guides you through putting your AI-generated employer branding into practice. This involves creating a well of content that spotlights your company's values and culture, initiatives, and top talent. Whether someone searches "better work-life balance" or "hybrid tech roles in insurance," your company's page will be at the top of the list. Instead of spending thousands to rank for a single tech keyword, Built In ranks for 20,000 and ties your content to the ones that matter.
The result: by the time your company is actively hiring, your hiring team will already have a highly skilled talent pool that's interested in and excited about your company's culture and vision.
Build an "Always On" Brand with AI
Amongst all the layoffs occurring in tech, today's talent acquisition and retention teams are being asked to do even more with even fewer resources. But there's a powerful tool that can help in almost every aspect: AI.
With the help of AI tools, your hiring teams can keep your brand "always on," nurture talent, and stand out from other companies while saving your team valuable time and bandwidth. The tech industry moves fast, but AI is the answer for helping hiring teams keep up and successfully attract and retain top talent.
Putting It Together
An "always on" employer brand, AI-powered job matching, and a well of candidate-facing content work together to ensure your hiring team has a skilled, engaged pipeline long before you post a single role.
