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Shopify CEO Tobi Lütke mandates teams explore AI automation before hiring, joining tech leaders embracing AI to drive efficiency and potentially reduce workforce needs.
The White House has unveiled new policies to accelerate AI adoption across federal agencies, streamlining procurement processes and removing bureaucratic hurdles to bolster American innovation and leadership in the rapidly advancing field of artificial intelligence.
Wayfair's failed bedframe assembly service exposes a disturbing trend of companies underpaying subcontracted workers, leading to poor service quality and exploitative business practices prioritizing profits over customer satisfaction and worker welfare.
While early adopters of AI in manufacturing initially faced productivity declines from replacing human workers with robots, over time surviving firms that embraced AI outperformed in sales growth, productivity, and employment, while older and larger companies struggled to adapt and reap AI's long-term benefits.
Turkey's male-dominated tech industry, plagued by sexism and discrimination, is driving an exodus of skilled female coders seeking equality and better opportunities abroad, exacerbating the nation's brain drain crisis and highlighting the urgent need for workplace reforms.
Otter unveils AI meeting assistants that actively participate through voice interaction, joining meetings, accessing data, scheduling follow-ups, and drafting emails, initially on Zoom with plans to expand to other virtual platforms.
The General Services Administration (GSA) unveiled a groundbreaking AI tool for internal staff usage, complete with chat and API capabilities, seeking employee input to enhance its functionality before offering it as a cutting-edge shared service to other federal agencies.
A satirical CLI tool called rust-stakeholder generates dazzling but meaningless terminal output, jargon, and simulations to help users bluff their way through meetings, extend deadlines, and secure jobs by appearing as coding geniuses without writing actual code.
GenAI promises time-saving automation for teachers, but history suggests such technologies often intensify workloads, narrow expectations of 'good' work, reduce collaboration, and require substantial effort to assess and revise outputs, raising doubts about the promise of less stressful work.