Harvard Business Review
Coverage of Harvard Business Review in the Nexus archive.
- ‘I’m mortified’: YouTube star Hank Green apologizes for ChatGPT overuse after fans accuse him of including a prompt by mistake
YouTube star Hank Green apologized for overusing ChatGPT in video scripts after fans accused him of accidentally including an AI-generated prompt. He plans to reduce content production and rely less on AI for research, acknowledging it may have hindered his creative process.
- How AI turned your best work into the bare minimum
AI adoption is accelerating work timelines but shifting pressure to employees by raising output expectations without sustainable adjustments. Studies show AI saves time but intensifies workloads, reduces deep thinking, and creates gaps in guidance for effective AI use, with speed becoming a primary performance metric.
- Why the Americans are unlikely to outpace Chinese innovations
The article discusses Western skepticism about China's innovation capabilities, citing Harvard Business Review pieces from 2010 and 2014 that framed innovation as a product of Western cultural or institutional factors. It highlights a shift in perspective as China's innovations challenge earlier assumptions.
- How to keep a workplace star from bolting
Managers face challenges retaining top performers due to limited promotion opportunities in a stagnant job market. The Harvard Business Review suggests strategies like transparent communication, offering stretch assignments, and adjusting compensation to retain ambitious employees without promotions.
- Honeywell bets its breakup will generate huge value
Honeywell is splitting into three companies, with Solstice Advanced Materials acquiring Element Solutions for $14.5 billion. Share prices for Honeywell Aerospace and Solstice have dropped post-spinoff, though CEO Jim Currier remains optimistic about future deals. GE's 2021 split created significant value, but a Harvard study found most large spinoffs fail to generate new shareholder value.
- AI Has Broken Hiring
AI has disrupted hiring processes, leading to biased and ineffective outcomes. The article discusses how AI tools in recruitment are failing and proposes solutions to address these issues.