A new analysis published in the Harvard Business Review suggests that the rapid adoption of artificial intelligence tools is undermining productivity in many workplaces rather than improving it. The article introduces the idea of “workslop”, a term used to describe the flood of low quality content and outputs produced by employees leaning too heavily on generative AI systems. According to the research, the number of organisations adopting AI has risen sharply in the past two years, with many leaders assuming the technology would deliver immediate efficiency gains. Yet a study from MIT Media Lab cited in the article found that 95 percent of organisations have seen no measurable return on their investment in AI. Instead of freeing people from routine tasks, many firms are finding that AI is creating new layers of work. Drafts, reports and proposals generated by software are often superficial, incoherent or riddled with errors, requiring staff to spend additional time correcting or recreating them. (more…)

New research claims to reveal the significant divides in how organisations are adopting artificial intelligence, with some reporting positive outcomes and others citing fear, risk and job losses. The study, carried out by The Adaptavist Group as part of its latest Digital Etiquette: Unlocking the AI Gates report, surveyed 900 professionals responsible for introducing and onboarding workplace AI in the UK, US, Canada and Germany. It found a sharp split between the 42 percent of respondents who believe their company’s AI claims are over-inflated and the 36 percent who do not. (more…)

UK workers expect to hand over almost a third of their workload to AI agents within the next year, yet most say the technology is still unreliable and lacks clear accountability, according to a new poll from Asana’s Work Innovation Lab. The survey of more than 2,000 workers, including 1,021 in the UK, found that employees anticipate delegating 32 percent of tasks to AI within 12 months and 41 percent within three years. At present, only a quarter feel ready to do so. Despite the rapid spread of adoption, with nearly three-quarters already using AI agents, concerns about reliability and oversight remain high. (more…)