Alright mates, it is mid November 2025, and the conversation around AI has officially grown up. The hype has cooled, the skepticism has been loud, and now the real question is simple: is AI actually paying off?

Let's dive in.

TDLR:

• What’s Happening? 👀

• The Wharton Study ⚙

• Why You Should Care 🔍

• Challenges Ahead ⚠️

• Future Outlook 🔮

• The Bros’ Take 🤔

What’s Happening? 👀

For months, the internet could not shut up about that MIT “95% fail rate” study, a headline-grabbing piece that supposedly showed AI flopping everywhere.

The issue? It was based on 52 executives and some cherry-picked public statements.

Meanwhile, a far more robust Wharton study surveyed 800 enterprise leaders across industries, tracking AI adoption and ROI for three years straight.

The results told a completely different story, AI is not failing; it is maturing fast.

But barely anyone noticed.

Wharton’s third annual GBK report shows that GenAI has moved from “cool demo” to core workflow.

• 82% of enterprise leaders now use GenAI weekly

• 46% use it daily , up 17 points from last year

• 74% of companies report positive ROI

• 72% are formally tracking their GenAI performance

• Mid-sized firms ($50M–$2B) are seeing the strongest returns

Top use cases: data analysis, summarisation, proposal writing, presentation creation, customer support, and internal automation.

The next frontier? AI agents. 58% of enterprises are already testing them for workflow automation, analytics, and process orchestration.

This is the real AI turning point.

The question is no longer “Does it work?” but “How well does yours perform compared to the competition?”

AI is not a side project anymore, it is now embedded in how teams communicate, sell, analyse, and operate. ROI is no longer theoretical; it is measurable, tracked, and improving quarter over quarter.

And that means the performance gap between AI adopters and laggards is about to widen fast.

Even with the optimism, there are cracks in the system:

• Skills paradox: 89% say AI enhances skills, but 43% fear skill decline.

• ROI benchmarking gaps: Most firms track AI performance, but few know what “good” really looks like.

• Human friction: training, resistance, and leadership inertia still slow progress.

• Competitive pressure: a 10% AI productivity boost sounds great, until your rival hits 25%.

At this stage, the hardest problems are not technical; they are cultural.

Wharton predicts 2026 will be the year of performance at scale. Expect:

• ROI playbooks and benchmarks across every function

• Agentic systems rolling out beyond pilot phases

• AI budgets rising, 88% plan to increase spend next year

• ROI comparison tools and AI-driven KPIs redefining enterprise strategy

AI’s experimental phase is ending. The scoreboard era is beginning.

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Forget the doom headlines and the “AI is failing” crowd. The real story is that AI has gone from hype to hard numbers and the returns are starting to show up everywhere.

The irony? The sceptics accidentally helped. By shouting “bubble,” they pushed companies to focus on measurable outcomes, not empty promises.

So here we are, mid November 2025 standing on the edge of AI’s first real ROI era. 2026 will not be about who shouts the loudest; it will be about who delivers.

And that's it for today! Thanks for reading ♥️

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