Product Advisory Update: CP(AI)O 2030?

Between Coffee & Chaos: Founder Thought Of The Week

My cofounder Greg & I started Upwage in 2022 because we knew AI had the potential to positively and negatively impact the livelihoods of billions. We set out to find a way to harness the power of AI for the good of the people (yes, we’re die-hard optimists).

So while a lot of companies were using AI to automate away people’s jobs, we were focused on the holy grail - how to use the power of AI to improve quality of hires, decrease turnover, and ultimately, help talent find meaningful work in the age of AI.

We’re in awe of some of your recent big AI-powered turnover wins:

• A superstar recruiting team at a national retail chain cut turnover by 24%, saving over $1M per year

• An innovative CPO reduced call-center turnover by 35% for $920k in savings

• A brilliant head of TA at a healthcare company slashed turnover by 48%, saving the company $7M in attrition costs

Proud to be in partnership with y’all and grateful to be on this journey with you,

Diana Tsai

CEO & Cofounder, Upwage

PS. Have an AI experiment top-of-mind you’d love to chat about? Feel free to grab 15 here for us to sync 💥

Trending in Talent Acquisition

• The pace of change at work is increasing and it’s raising expectations for HR - John Brazier finds that 1 in 10 workers are in jobs that didn’t exist a decade ago.

• Job Seekers are using AI to Fight AI - Joe Procopio notes a big shift in how applicant adoption of AI is thwarting the value of standard resume screening.

• The AI Agents Are Coming - Roy Maurer at SHRM looks at the different areas where agents are being used in HR and TA.

• [Podcast] Job Task Re-Engineering with AI: A Massive Opportunity - Josh Bersin advocates for an update of the 1990s ERP approach to work, breaking jobs down into tasks to identify where AI agents can fit into each function.

On the AI Frontier

• Meta is working with US government to use LLama AI - One major policy issue is on whether Open Source LLMs fit into the traditional Open Source Software model, or if they require a new approach. Either way, this validates the market for an Open Source product, in whatever form it may take.

• T Mobile Strikes $100M Deal With Open AI- T-Mobile and OpenAI are joining forces to launch a revolutionary AI platform that listens, learns, and acts on customer needs before they even ask. Could this be the future blueprint for seamless, proactive customer service across industries?

• DeepMind’s Talker-Reasoner framework brings System 2 thinking to AI agents - heard of “Thinking Fast and Slow”? Most LLMs so far have focused on optimizing for “Thinking Fast”, but this new framework (and a few other recent trends) point toward major progress in teaching an AI how to “Think Slow”. We see the former as important for screening, while the latter will have a huge impact on sourcing and sorting.

• Anthropic’s new AI can use computers like a human - still in beta, this new tool has broad implications for accessibility, back office automation, and that guy above who insists on applying to every job posting.

• The US Military Just Adopted AI - one week after China announced their use of Llama AI for the military, the US military announced this partnership to accelerate adoption.