The AI gap between companies just went from 2.6x to 8.3x. In six months.

OpenAI's new "Enterprise Signals" report just dropped, and it's not subtle — the companies pulling ahead aren't just using AI more, they're using it differently.

Plugins, reusable Skills, full agentic workflows via Codex (now 64% of all enterprise AI usage) — while most companies are still stuck in basic chat.

Is your company keeping up, or falling into the "typical firm" bucket? Tell me in the comments.

Save this for your next team meeting, and follow @latinaailab for weekly AI news, tools & tips for creators.

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#OpenAI #AI #ArtificialIntelligence #EnterpriseAI #FutureOfWork

8/14 Edited to

... Read moreFrom my experience working closely with enterprise technology teams, I've seen firsthand how the adoption of advanced AI features like plugins and reusable Skills drastically changes productivity and innovation. What stood out in OpenAI’s report is how frontier firms leverage Codex to automate workflows, which now accounts for 64% of all enterprise AI usage. This isn't just about using AI for chat or basic queries anymore — it’s about embedding AI deeply into business operations. In practical terms, companies employing these advanced capabilities are able to free up their employees from repetitive tasks, streamline complex processes, and enable real-time data-driven decisions. For example, automation through Codex allows technical teams to develop agentic workflows that handle multi-step operations without constant human intervention, accelerating project completion and reducing errors. Moreover, the gap is compounding—not just growing linearly—which indicates companies that hesitate risk falling further behind. For teams still stuck with basic chatbots, it’s essential to start experimenting with reusable Skills and plugin integrations. Even small steps like integrating AI-powered tools into customer service or data management can create significant competitive advantages. It’s also worth noting the striking difference in IT team AI adoption—frontier firms use AI tools over 11 times more than typical firms. This suggests that focusing on upskilling IT staff and encouraging a culture that embraces AI-driven innovation is critical. If you’re considering ways to help your organization catch up, start by identifying key repetitive or manual workflows that could benefit from AI automation. Pilot projects using Codex or plugin-powered workflows can provide quick wins and demonstrate value to stakeholders. Also, sharing success stories with your team helps foster engagement and broader adoption. In short, the AI gap is not just a measure of how much AI is used but how it’s integrated into real work processes. The companies leading the way are building systems that truly augment human capabilities. If your company wants to stay competitive in the future of work, embracing these advanced AI tools and workflows is no longer optional—it’s imperative.

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