Dr. Gleb Tsipursky – The Office Whisperer
Nirit Cohen – WorkFutures
Angela Howard – Culture Expert
Drew Jones – Design & Innovation
Jonathan Price – CRE & Flex Expert
Close to one million jobs in London alone are likely to be changed by AI, according to LiveCareer U.K. research. Roles involving repetitive or structured tasks are at the highest risk — including over 200,000 telemarketing jobs, 150,000 bookkeeping roles, and 95,000 data entry positions.
Other vulnerable roles include warehouse workers, cashiers, fast food employees, and even paralegals and proofreaders. Many of these jobs are disproportionately held by women, raising concerns that automation could worsen existing inequalities if employers aren’t intentional about how they implement AI, according to the BBC.
AI Is Already Replacing Job Postings
While the full impact is still unfolding, there are already signs of AI’s footprint in hiring. According to McKinsey, job postings in AI-exposed roles have dropped 38% in the last three years. Across the board, total job adverts are down 31%, especially for entry-level white-collar positions.
That’s a problem, not just for job seekers, but for companies. Entry-level hires typically grow into future leadership, and cutting off that pipeline now could create talent gaps later.
In Healthcare, AI Is a Coworker — Not a Replacement
One place where AI is being embraced more openly is the NHS. At Queen Elizabeth Hospital, AI and robotics are used to manage the pharmacy — tracking drug usage, predicting seasonal demand (like extra nebulisers during flu season), and helping staff get the right medications where they’re needed, faster.
The system now dispenses 400,000 items a year, and staff say it improves both speed and patient safety. In this instance, AI is helping healthcare professionals focus on patient care instead of supply logistics.
What Comes Next Depends on How We Prepare
AI is expected to affect up to 50% of white-collar jobs, according to major employers. But that doesn’t automatically mean job loss. What it does mean is job change, and a need for people to adapt, reskill, and reimagine how they work.
Some organizations are already investing in upskilling programs and digital apprenticeships to help employees learn AI tools from the inside.
