Catch the Vibe

Software developers were first to embed AI deeply into their work, and for a while it was tempting to think they'd be the only ones. Their work, after all, was ready-made for AI: the inputs are digital, the output is testable, the workflows have largely become standardized. So Andrej Karpathy coined "vibe coding" last year as he recognized devs were leveraging AI to write large portions of code, liberating them to conduct things; setting the intent, nudging the machine until the result felt right. To, yes, feel the vibe.

The sector exploded, with massive growth from Claude, ChatGPT, Cursor, Replit, Lovable, et. al. For a time it felt this would be contained to nerdom, while everybody else in the office used AI as glorified search.

Until the past few months.

Vibe coding is now expanding into vibe working. That is, accountants, designers, marketers, sales pros, lawyers, etc., are looking to embed AI into their workflows as well: the proposal drafted from the past winning proposals, the diligence memo assembled across twenty sources, the client brief that reflects the new scenarios they mentioned, the model updated before the morning meeting.

How quickly is this taking hold? Microsoft reports active Microsoft 365 agents grew 15x year over year and even faster in large companies. Anthropic likewise found computing tasks accounted for 46% of enterprise API traffic, but office and administrative work has now reached 13%. And the largest shift may be with OpenAI; in the last six months weekly Codex users have grown over 40-fold in legal, sales and recruiting and over 25-fold in marketing.

At TalentGenius, our focus is helping professionals multiply their productivity with AI. Our Vibe Working platform takes your job-to-be-done and generates your personalized AI playbook based on the best model for you and your job. See it for yourself at https://talentgenius.io/.

Catch the vibe.

The week's most important AI news, curated for you:

Enterprise AI Adoption & Productivity

Enterprise signals: What successful AI adopters do differently

From answering questions to executing work: OpenAI data reveals top-performing enterprises generate 8.3 times more AI output per user than average firms.

How much time does AI save at work? New Census Bureau data breaks it down

While AI is cutting hours off daily tasks for millions of workers, initial learning curves mean productivity often dips before it surges.

What vibe-coding startup valuations portend for CIOs

VCs are betting billions that "vibe coding" belongs in the enterprise—leaving CIOs to manage the security fallout.

Lovable’s $400M funding shows vibe coding means business

With 60 million projects created and a massive influx of capital, Lovable is proving that steering AI with high-level intent is ready for big business.

AI Economics & The Technology Market

OpenAI’s revenue run rate tops $40 billion ahead of IPO

Fueled by corporate subscriptions and coding tools, ChatGPT’s parent company doubles its run rate from late 2025 as a Wall Street debut looms.

Databricks wanted to raise $1B, investors wanted $15B. It settled on $5B at a $190B valuation

With revenue surging past $7 billion, the data and AI giant compromised on a $5 billion deal to satisfy clamoring venture capital firms.

Anthropic and OpenAI slash prices as Chinese AI rivals flip the script on costs

Surging adoption of cheap, open-source Chinese models has forced OpenAI and Anthropic to slash token fees by up to 80 percent.

Oracle plans fresh August layoffs as its AI spending spree bites

The database giant is preparing to cut more staff before its new fiscal quarter begins, even as it borrows tens of billions to build the AI data centers it says are reshaping the company.

Solution of the Week

Candidate Outreach & Engagement Engine

The Candidate Outreach & Engagement Engine generates tailored candidate communications across every stage of the recruitment lifecycle — from first contact through offer — so every candidate feels like a priority regardless of your team's bandwidth.

Talent & The Changing Nature of Work

No widespread displacement, but the AI employment gap for young workers has widened to 19%

Instead of pink slips, AI is blocking the door: New data reveals young workers are bearing the brunt of automation through shrinking entry-level hiring.