
AI's Economic Impact: Experts Clash Over Future of Growth
A deep divide separates technologists and economists on AI's economic impact, with one side predicting a revolution and the other a modest, slow-burn change.
13 articles tagged

A deep divide separates technologists and economists on AI's economic impact, with one side predicting a revolution and the other a modest, slow-burn change.

Economists predict AI could drive inflation below 2% by boosting productivity, but this efficiency comes at the cost of significant white-collar job displacement.

Artificial intelligence is creating a significant productivity gap between large and small companies, with major firms seeing substantial gains while smaller businesses decline.

Investment in AI is fueling hopes of an economic boom similar to the 1990s, but today's economy faces different challenges like a shrinking workforce.

Citigroup CEO Jane Fraser announced the company's internal AI tools are saving 100,000 software developer hours each week, with 180,000 employees now using them.

Andrew Feldman, CEO of the $8.1 billion AI company Cerebras, states that achieving extraordinary success is incompatible with a 38-hour work week.

Meta's VP of Metaverse has mandated a 500% productivity increase for the division, driven by the widespread adoption of artificial intelligence tools across all roles.

A new term, 'workslop,' describes the inefficient and boundary-less nature of modern office work, driven by digital tools and leading to increased burnout.

Professionals in machine learning can enhance efficiency by strategically choosing software libraries, using tools like clipboard managers, and reading broadly.

A new platform, ChatPlayground AI, offers a unified interface to access and compare outputs from over 40 different AI models, aiming to streamline workflows.

A new study reveals that low-quality, AI-generated 'workslop' is costing companies millions annually in lost productivity, with 40% of employees affected.

A new study from Harvard Business Review reveals that low-quality, AI-generated 'workslop' is costing companies an estimated $9 million annually per 10,000 employees.