The advancements in systems deploying large language models (LLMs), as well as improvements in their ability to act as agents with predefined templates, provide an opportunity to conduct qualitative, individualized assessments, creating a bridge between qualitative and quantitative methods for candidates seeking career progression. In this paper, we develop a platform that allows candidates to run AI-led interviews to assess their current career stage and curate coursework to enable progression to the next level. Our approach incorporates predefined career trajectories, associated skills, and a method to recommend the best resources for gaining the necessary skills for advancement. We employ OpenAI API calls along with expertly compiled chat templates to assess candidate competence. Our platform is highly configurable due to the modularity of the development, is easy to deploy and use, and available as a web interface where the only requirement is candidate resumes in PDF format. We demonstrate a use-case centered on software engineering and intend to extend this platform to be domain-agnostic, requiring only regular updates to chat templates as industries evolve.

But the impact on jobs has not yet arrived in most organizations. As recently as 2017, headlines such as "Bosses Believe Your Work Skills Will Soon Be Useless" (from the The Washington Post) were common. Oxford University researchers argued in 2013 that 47% of U.S. jobs were at risk of loss to automation. MIT launched its institute-wide task force on the future of work in 2018. Leaders around the world began to consider how their organizations would be different when thousands of their employees' jobs are automated away.

Abstract-- Professional baseball players are increasingly guaranteed expensive long-term contracts, with over 70 deals signed in excess of $90 million, mostly in the last decade. These are substantial sums compared to a typical franchise valuation of $1-2 billion. Hence, the players to whom a team chooses to give such a contract can have an enormous impact on both competitiveness and profit. Despite this, most published approaches examining career progression in baseball are fairly simplistic. We applied four machine learning algorithms to the problem and soundly improved upon existing approaches, particularly for batting data. I. INTRODUCTION The typical mode of entry for a player into baseball is through the first-year player draft. Players usually enter the draft immediately after high school or college and then spend several years in the drafting team's minor league system. When deemed ready, the drafting team can promote the player to the Major Leagues.

September 18, 2017 – Automation is already heavily impacting many jobs, especially those in manufacturing and agriculture. Of five million manufacturing jobs lost since 2000, machines have replaced 4.4 million of them, according to researchers at Ball State University. Experts expect these same forces to hit white-collar jobs. After all, technology is cheaper than human labor, increases productivity, and often works better. The impact could be staggering.

Up to 30 per cent of UK jobs are at risk of being taken over by robots and Artificial Intelligence by the early 2030s, a new report warns. The study, published by professional services firm PwC, claims that the likelihood of automation is highest in sectors including transport, manufacturing, wholesale and retail. Education, health and social work are less at risk and-- as a result of that-- male workers are more likely to see their jobs taken over by robots than their female counterparts. Despite the threat, though, PwC says that the rise of automation is actually likely to boost productivity and generate additional jobs elsewhere in the economy in the long run. "Automating more manual and repetitive tasks will eliminate some existing jobs, but could also enable some workers to focus on higher value, more rewarding and creative work, removing the monotony from our day jobs," said John Hawksworth, chief economist at PwC. "By boosting productivity - a key UK weakness over the past decade - and so generating wealth, advances in robotics and AI should also create additional jobs in less automatable parts of the economy as this extra wealth is spent or invested," he added.