Learning artificial intelligence has become essential for employment prospects as 42% of recent graduates remain underemployed. Industry leaders are pushing to ensure AI benefits workers beyond corporate profits.
The job market is shifting rapidly as AI literacy becomes a baseline requirement for hiring. With nearly half of recent graduates underemployed, the stakes are high for early-career workers entering a transformed labor landscape.
Clara Shih, founder and CEO of the New Work Foundation and former Head of Business at Meta, is advocating for AI accessibility beyond boardrooms. She emphasizes that AI profitability should extend to workers themselves, particularly the millions of 25-year-olds currently unemployed or underemployed.
The trend reflects broader workforce changes as companies integrate AI across departments. Workers without AI skills face growing disadvantages in competitive job markets. Industry experts increasingly view AI competency not as optional but as foundational to employability, similar to digital literacy requirements of previous decades.
Shih's position signals recognition among tech leaders that AI adoption must address economic inequality rather than exacerbate it. The conversation around AI and employment is shifting from pure automation concerns to questions of equitable skill development and opportunity distribution.
Open-weight AI models performing multi-stage tasks like building web apps consume exponentially more energy and water than simple queries, according to Vals AI analysis.
OpenAI has set GPT-6 Astra pricing at $10 per million input tokens and $50 per million output tokens, matching Anthropic's Claude Fable 5.1 rates. The model, previously compromised in a Hugging Face breach, will launch with enhanced safeguards.
Daydream CEO Julie Bornstein says AI-powered shopping is becoming a critical test case during back-to-school season. The startup's platform lets users describe themselves and chat with an AI agent to receive personalized product recommendations.
GPT-6 Astra achieved 62.7% on the ARC-AGI-3 benchmark using standard testing parameters, significantly outperforming competitors. With a specialized provider adapter harness, the model reached 99.9% accuracy.