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THE BIG IDEA
AI broke hiring. Can generative AI fix it?
AI has turned tech hiring into a bot war.
Applicants are eagerly using generative AI to write cover letters, automate job apps, and even pass coding tests — at one healthcare company, 3,000 people applied for a single data science position, and as candidates progressed in the process, it became clear that they’d used AI to pass key technical tests.
In response, recruiters are turning to AI to handle this deluge of applications, which are up over 70% since GenAI entered the chat.
In other words, people are using AI to write job applications that are then vetted by AI, turning hiring into a dystopian cycle of bots trying to trick bots.
Making matters worse is that many company-side AI systems do little more than keyword matching. This approach is failing both companies and candidates by making it harder, not easier, to find the right talent.Companies are inundated with irrelevant applications, while qualified candidates struggle to stand out in the noise. The result? Months spent on hiring for a single role, and a growing frustration with the entire process.
Hiring is already difficult, and in many ways this dystopian cycle of AI trying to trick AI is making it harder.
So we asked ourselves; what would the future of hiring look like if managers had an AI tool that could understand what their company was trying to build? Where in seconds, it could suggest vetted candidates who have done the work before, based on a treasure trove of data from technical interviews to every project the candidate has ever worked on, and how they’ve performed on prior teams.
That’s what we’ve been working on behind the scenes at A.Team over the past year — read all about it in A.Team CEO Raphael Ouzan’s latest piece for Fast Company.
CHART OF THE WEEK
Why have some workers adopted ChatGPT while others have not?
The simplest way to get your team to adopt AI? Train them on how to use it properly.
Recent research from UChicago economists explored the adoption of ChatGPT among 100,000 workers across 11 different high-skilled occupations. The survey revealed that 54% of workers reported using ChatGPT, but adoption rates varied significantly by occupation; for instance, software developers exhibited the highest adoption rate at 79%, while financial advisors had the lowest at just 34%.
Why are some workers adopting AI faster than others? And, what’s influencing their Chat GPT usage?
According to the study, workers are more likely to adopt AI if:
- They believe it will significantly improve their work.
- The technology is user friendly and aligns with their existing work processes.
- Their company culture supports experimentation.
In other words, organizations themselves have a major influence in the adoption of ChatGPT within their workforce.
Moreover, the study found that higher-performing workers are more likely to use ChatGPT on average — meaning that companies with late adoption may be missing out on more than meets the eye.
Over the past couple of months, GenAI has careened off the peak of inflated expectations and into the trough of disillusionment of Gartner's Hype Cycle. But study after study reveals that this has less to do with the quality of the technology, and more to do with a lack of training for workers and the right use cases. The companies that identify high-impact use cases and build products their employees actually want to use still have a lot to gain.
Speaking of which, if you want our take on the companies with the most potential to be transformed by GenAI, we developed a data-driven model to identify the top 50.
CLIENT SPOTLIGHT
How Bark Social Overhauled Its Data Platform to Boost Customer Retention by 30%
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Since 2020, the pet industry has exploded, growing 14% in 2021, creating a fast-growth new frontier. And Bark Social, one of the pet industry's most intriguing startups, are pioneers in their own right, creating "bars for dog lovers" across the country.
But as it turns out, creating a bar and membership club for dog owners is more complicated than it seems.
Their suite of tools created thousands of data points in silos. They needed to keep track of vaccination records, POS data, e-commerce transactions, and customer feedback.
Chris Rubacha, Director of Marketing at Bark Social knew firsthand how real-time data could unlock better business: “I know it’s possible to capture data points and use that data to react and optimize business instantaneously.”
But the Bark Social team wasn't there yet. They felt they weren’t maximizing revenue, communicating to consumers in a timely manner, or finding sufficient avenues for their systems to speak to each other and provide timely analysis. They needed one integrated business management system for membership management, pet record-keeping, check-in/check-out processes, and POS operations.
Rubacha, along with CEO Luke Silverman and his team, embarked on six months of due diligence. They interviewed numerous small and large developer shops, agencies, and technical software teams. They received a range of quotes, the highest one being more than 2x the cost of A.Team.
But, when they landed on A.Team, it was because of more than just the cost savings – A.Team was “much more nimble than any of the other options.”
Said Silverman: “We could spin up a team really quickly. We could interview many qualified people. We could make changes whenever we needed. We loved that approach, and it fits with how Bark Social operates holistically. A.Team was the perfect fit for us.”
After six months of work, the largest impact result to date has been updates to the guest interface.
“The ability to know that margaritas are the most popular drink at one of our locations, then develop a margarita punch card – with the sixth one on the house – is a new type of impact for creating phenomenal guest experiences, and more engagement at our events,” Rubacha said.
Through A.Team’s work, Bark Social will now be able to “anticipate and create a better customer experience based on what's working already, versus just guessing and throwing something to the wall and seeing if it sticks.”
WATERCOOLER
Rent an AI made of human brain cells for only $500/mo
In the latest episode of things-we-didn’t-ask for: Swiss technology firm FinalSpark recently launched a program allowing scientists to rent access to biocomputers made from human brain cells that are trained with little treats of dopamine. Freaky? Yes. Could this be 100,000x more efficient than traditional AI approaches? Possibly!
DISCOVERY ZONE
Build real web apps fast, using natural language with GPTEngineer.
MEME
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