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After years of hype cycles, proofs-of-concept, and boardroom conversations, AI in the enterprise has reached a decisive shift. The latest analysis from OpenAI reveals that organisations are moving rapidly from experimentation to deep operational adoption, where AI becomes embedded in workflows and influences real business outcomes. AI is now driving new decision-making models, accelerating execution, and widening the competitive gap between early adopters and slow movers.
A Surge in Real-World Usage
OpenAI’s usage data underscores the scale of this transition. Weekly messages on ChatGPT Enterprise have surged eightfold year-over-year. Adoption of structured tools like Projects and Custom GPTs has increased 19x. Most notably, reasoning token consumption has risen by 320x, demonstrating that enterprises are shifting from basic prompting to complex intelligence tasks.
AI Is Expanding Workforce Capacity
The impact is even more pronounced at the employee level. A survey of 9,000 workers across 100 enterprises shows:
75% report improved speed and quality of output
40–60 minutes saved daily on average
Power users save 10+ hours per week
85% of marketing and product users cite faster execution
73% of engineers deliver solutions more quickly
Crucially, 75% say AI allows them to perform tasks they previously lacked skills or bandwidth for, democratising capability across functions.
A Global and Cross-Industry Expansion
Industries such as technology, healthcare, and manufacturing are advancing fastest, while finance and professional services lead in scale. Enterprise AI growth is strong internationally as well:
140%+ YoY growth in Australia, Brazil, the Netherlands, and France
Japan ranks as the second largest API customer base outside the U.S.
AI is no longer a U.S.-centric wave—it is reshaping digital economies worldwide.
The report also points to a widening performance gap:
Frontier workers engage with AI 6x more than the median
Frontier enterprises show 2x deeper integration into operations
The differentiator is no longer technology access; it is organisational readiness, leadership clarity, and execution velocity.
AI as a Core Business System
Enterprise AI is evolving from efficiency enhancement to business transformation. The focus is shifting toward:
New service delivery models
Real-time operational intelligence
Automated decision augmentation
With OpenAI releasing new features every three days, businesses must evolve rapidly to keep pace.
The message is unmistakable: enterprise AI has reached its inflection point. The next 12–18 months will decide which organisations convert momentum into market advantage—and which ones fall behind in an expanding capability divide.
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