All articles tagged with #workplace
A Smartsheet survey argues the real workplace risk isn’t AI replacing people but losing years of tacit know-how as experienced professionals retire; to keep AI reliable, organizations must keep humans in the loop as teachers, debuggers, and decision-makers, using structured data, knowledge graphs, and governance—as demonstrated by Smartsheet’s Intelligent Work Management to train AI and avoid the deployment trap.
An analysis piece argues that the biggest AI risk in business isn’t immediate replacement but the loss of institutional knowledge as veteran workers retire, unless firms invest in structured knowledge transfer and strong human-in-the-loop practices to train AI with context, governance, and customization. A Smartsheet survey underscores that workers fear AI-related poor decisions and lack of context more than outright job loss, highlighting the need for humans to teach, debug, and guide AI to avoid confidently wrong outputs.
Researchers propose 'AI replacement dysfunction' (AIRD) as a new clinical construct describing distress tied to the threat or reality of AI-driven job displacement. AIRD includes symptoms such as anxiety, insomnia, depression, and identity confusion, with potential links to broader psychiatric issues; polls show broad concern about AI’s impact on employment, especially for early-career workers, even though direct AI-caused layoffs are not yet widespread. The piece notes a screening framework and suggests cognitive behavioral therapy as a potential treatment, but AIRD is not an official diagnosis yet.
A Smartsheet-commissioned global survey finds Gen X (67%), Millennials (66%), and Gen Z (84%) fear AI replacement within five years, and 92% of Gen X say they must gain AI skills to stay relevant. The bigger risk is the loss of institutional knowledge as experienced professionals retire, since AI can misinterpret data and lacks the nuanced judgment built from decades of experience. The answer is a strong human-in-the-loop: teach, debug, and customize AI with knowledge graphs and governance so AI outputs reflect context and support decision-making rather than replace humans.
A Smartsheet survey shows workers across Gen X, Millennials, and Gen Z fear AI's impact, but the greater danger is losing institutional knowledge as seasoned professionals retire without structured knowledge transfer. AI is most effective when humans teach, debug, and tailor it to context, creating a reliable “human in the loop” that can discern patterns and guard against flawed outputs. Organizations risk a deployment trap if they remove humans from the loop; success hinges on investing in people, unified data foundations, and knowledge graphs so AI can support high‑value decisions rather than just generate plausible results.
The New York Times is asking readers to share how they’ve used biohacking—such as sleep and heart-rate tracking with wearables, supplements, and other practices—to improve cognitive function and job performance, as part of reporting on how employers increasingly measure productivity.
The Equal Employment Opportunity Commission has filed in federal court in Missouri to compel Nike to produce information in a federal investigation into alleged discrimination against white employees as part of Nike’s diversity, equity and inclusion programs. The EEOC emphasizes Title VII’s colorblind protections and says it is pursuing evenhanded enforcement, while Nike says it has cooperated extensively. The case comes amid ongoing DEI-policy scrutiny and related workplace-issue headlines from the era.
A Gallup poll finds that Americans are increasingly using AI at work, with more employees integrating AI tools into daily tasks like drafting, research, and planning, signaling a broader shift toward AI-enabled productivity in the workplace.
Masking menopause symptoms at work, driven by stigma, can be draining and heighten burnout risk, potentially affecting performance and career progression. The BBC piece cites UK figures of about four million women aged 45–55 in the workforce and estimates that roughly one in ten have left a job due to menopause, highlighting widespread under-information and stigma. It calls for better workplace support, manager training, clearer absence disclosures, and a more open culture, while contrasting negative views with positive cultural shifts and strategies like HRT and the idea of “post‑menopausal zest.”
BuzzFeed Community gathered anonymous anecdotes from people in seemingly dull industries, revealing that behind ordinary shifts there’s wild drama: inter-office romances, power struggles, theft, and confidential scheming across banking, IT, healthcare, libraries, museums, retail, and more. The piece shows how “boring” jobs can hide high-stakes behavior and invites readers to share their own behind-the-scenes stories.
A new AI startup, Humans&, founded by researchers from Anthropic, Google and xAI, aims to empower workers by augmenting their capabilities rather than replacing them, and it already carries a $4.48 billion valuation.
Economist Tyler Cowen discusses the challenges and potential positive aspects of AI adoption, suggesting that discomfort and unhappiness among workers may indicate significant change and progress in the workforce.
Marriott CEO Anthony Capuano publicly reaffirmed the company's commitment to diversity, equity, and inclusion (DEI) amidst uncertain political policies, emphasizing that Marriott's core values of welcoming all and creating opportunities remain unchanged, which was met with overwhelming support from employees.
AI is increasingly used at work, but employees should understand their company's policies, verify AI outputs, avoid sharing confidential info, and use AI ethically to avoid trouble.
The article explores the impact of Ozempic, a medication for diabetes and weight management, on the workplace, suggesting it may influence employee health and productivity. However, access to the full content requires a subscription.