McKinsey is piloting AI assistant Lilli in job interviews to assess candidates' problem-solving skills and adaptability to future consulting roles. If successful, this method may standardize their hiring process.
https://www.cio.com/article/4117688/mckinsey-begins-testing-candidates-with-an-ai-assistant.html
CIOs in 2026 prioritize skills over degrees for IT hiring, emphasizing learning agility and adaptability. Traditional degree requirements are declining, with over half of employers removing them. They seek practical skills, microcredentials, and candidates' real-world experience to gauge potential. New hiring strategies include skills assessments and job simulations. Microcredentials signal ongoing learning and initiative but don’t replace degrees in certain fields. CIOs must adapt talent strategies to retain employees amidst AI implementation and changing workplace dynamics.
https://www.techtarget.com/searchcio/feature/The-talent-reckoning-Beyond-degrees-and-certifications
AI expected to boost entry-level hiring in 2026, per CEO survey by Teneo; firms are increasing engineering roles amid AI investment, countering fears of job loss. New roles like “decision designer” emerging as workforce reshapes.
https://www.businessinsider.com/ai-hiring-comeback-entry-level-jobs-ceo-teneo-survey-2025-12
Software engineering job openings are at a five-year low, with a 35% decrease in vacancies since January 2020 and a 3.5x drop since mid-2022. Despite a broader job market increase of 10%, software development positions have plunged 34%. Factors include interest rate changes, tech overhiring in 2021-2022, and potential productivity boosts from AI tools. While hiring has slowed, some startups are thriving with smaller teams. Predictions remain mixed on future hiring trends, particularly with the emergence of non-developer software creation facilitated by AI.
https://blog.pragmaticengineer.com/software-engineer-jobs-five-year-low/
AI has drastically changed tech interviews, making traditional methods ineffective. Interviews are often disliked, with candidates often overprepared for irrelevant tech skills. AI tools now allow easier problem-solving, undermining the validity of coding assessments like Hackerrank. Future solutions include in-person interviews, enhanced monitoring software, or adapting interviews to consider AI usage. A hybrid approach that combines remote assessments with in-person interviews could provide a balance. Ultimately, interviews will evolve to assess candidates' ability to effectively use AI and manage software development challenges.
https://kanenarraway.com/posts/ai-killed-the-tech-interview-now-what/
