OpenAI tests AI on 44 professional jobs

PLUS: Meta's new AI-powered video feed and Spotify’s AI music crackdown

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Gen AI Art
September 27, 2025 • Estimated Reading Time: 8 minutes

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OpenAI just put its top models to the test against human experts in 44 different professions, releasing a new benchmark to see where AI truly stands. The results show AI matching or outperforming human experts nearly half the time, all while being significantly faster and cheaper.

Despite the impressive speed, the study also found that models often fail at following complex instructions, requiring human review. Does this position AI as a powerful new assistant for professionals, or does it just confirm the existing need for a human expert in the loop?

Today in AI:

  • OpenAI tests top AI on 44 professional jobs

  • Meta’s new AI-powered video feed

  • Spotify’s crackdown on AI-generated music

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What’s new? OpenAI released the new GDPval benchmark, a study directly comparing how top AI models perform against human professionals on real-world job tasks from 44 different occupations.

What matters?

  • In tests across 1,320 professional tasks, Claude Opus 4.1 matched or outperformed human experts nearly half the time, while GPT-5 led in technical accuracy.

  • The AI models completed these tasks an average of 100x faster and cheaper than their human counterparts, turning hours of expert work into minutes.

  • Despite the speed, most models still struggle with following complex instructions and can produce unusable formatting, highlighting the continued need for human review.

Why it matters?

This benchmark confirms that AI is evolving into a capable digital assistant for knowledge work, able to accelerate initial drafts and handle routine tasks. Leveraging these tools effectively means focusing on expert review and refinement, turning a solid AI first-pass into a high-quality final product.

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What’s new? Meta is rolling out 'Vibes', a new feed in the Meta AI app that lets users create, browse, and remix short videos generated by artificial intelligence.

What matters?

  • The feed is powered by technology from Midjourney and Black Forest Labs, allowing users to generate clips from simple text prompts.

  • Created videos can be shared directly across Meta’s ecosystem, including to Instagram and Facebook, integrating AI deeper into its social platforms.

  • The feature is already facing some backlash on socials from users concerned it will encourage low-quality, AI-generated 'slop' to flood their feeds.

Why it matters?

This move shows how major social media companies are racing to embed generative AI tools directly into their platforms to boost user engagement. The success of 'Vibes' will test whether these tools can truly democratize content creation or if they will create new challenges for content moderation and quality control.

What’s new? Spotify is taking a firm stance on the flood of AI-generated music by tightening its platform rules for AI content. The company is deploying new policies and tools to manage spam, fake uploads, and unauthorized voice clones.

What matters?

  • The new guidelines require artists to begin labeling AI contributions in their work using the music data standard (DDEX), increasing transparency for listeners and the platform.

  • Spotify is moving from reactive takedowns to proactively blocking unauthorized content with a new spam filter designed to catch fake uploads and AI voice clones before they go live.

  • The platform is also cracking down on "profile mismatches," a growing problem where AI-generated songs are incorrectly attributed, to ensure proper correcting artist attribution and royalties.

Why it matters?

This move positions Spotify as a leader in establishing a responsible framework for AI in the creative industries. For artists and listeners, these rules provide much-needed clarity and help maintain trust by promoting authenticity on the platform.

Everything else in AI

OpenAI launched ChatGPT Pulse, a new feature for Pro subscribers that proactively generates personalized morning briefings based on user data like emails, calendar, and chat history.

Google released Gemini Robotics-ER 1.5, a new embodied reasoning model designed to give robots improved instruction-following and problem-solving capabilities in physical environments.

Researchers discovered a major security vulnerability in LinkedIn's AI features through indirect prompt injection, raising concerns about AI systems processing untrusted content.

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