We’re at the beginning of a brand new decade. The future is bright, and AI is starting to play a considerable role in creating the workplace of tomorrow. AI adoption will happen faster than you might expect. By 2030, some 70% of companies might have adopted at least one type of AI technology.

How we do work, from the moment we start our job search, to how we’re trained for the job, to how our skills are developed on the job, AI will help guide the way. A chatbot will answer any questions we might have about our new role, from benefits to signing into our email. It’ll also give us advice on our career path and provide the opportunity to check in with how we feel about our job. Where do I get my W2? Can I take public transit to the office? All of this and more will most likely be wholly digital and answered by AI.

AI will also majorly support the HR, manufacturing, or logistics areas of a company. This will help them automate their processes to become more efficient and make time for a more hands-on approach with employees. Time and people management will also be easier from the top down when managers can get all of their information on a dashboard, powered with data from AI.

Culture will also need to change to embrace this data-driven culture of AI. With the importance of data to be real-time, our decisions across an organization will support the best data-mining activities. We’ll have to think differently when it comes to analytics. This problem solving will lead to new and emerging roles in data science as well as customer insights. This, in turn, will help all areas of a business make a decision. For example, what is the best message to send to a candidate after scheduling a job interview?

Many of these things are happening now. So what’s there to look forward to that we don’t already have in our line of sight?

Gartner predictions for AI’s impact in the workplace are spot-on for what you can expect, “AI has already been applied to highly repeatable tasks where large quantities of observations and decisions can be analyzed for patterns. However, applying AI to less-routine work that is more varied due to lower repeatability will soon yield superior benefits. AI applied to non-routine work is more likely to assist humans than replace them as combinations of humans and machines will perform more effectively than either human experts or AI-driven machines working alone will.”

AI will only get better and cheaper, but waiting for it to improve may put your business behind others in your industry. To stay competitive, how do you take advantage of AI now?

The key to implementing AI successfully is to create a flexible environment where collaboration and communication are at the front of your work. Your business will need to immediately overcome any trust and biases you or your team has surrounding AI, and you’ll have to ensure cost savings are there. You’ll also want to:

  1. Learn about AI and how it’s used in your industry
  2. Identify your business’ and customer’s pain points
  3. Bring in experts to help implement AI
  4. Gather data needed to power your AI
  5. Start small by incorporating AI with daily tasks

We recommend starting a conversation with experts in the industry for those in the HR and recruiting space.

Knowledgeable experts that can not only help guide your organization through implementing AI, but also help reimagine the possibilities of how AI can become a valued partnership for your company’s specific goals and needs, whether that be delivering meaningful time savings, improving efficiency, streamlining the hiring process or reducing biases. This all taps into solving deep rooted organizational matters that will lead to even more long- term success. Humanly.io believes that AI is a bridge for problem solving. At Humanly.io we take pride in helping your company reach its highest definition of possibility and we are committed to your vision of the future with AI Recruiting by your side.

Let's push what is humanly possible. Start your next conversation with Humanly and book time with me.

[Original full article, published on 10/31/2020]