Generative AI just got a strategy playbook...

Are you still treating AI like theater or actually using it properly?

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This week has been stellar for those of us using AI. Let’s dive into what matters to you…

First off, lets give you the right strategy to catapult you beyond your competitors…

Most businesses use AI like improv theater… lots of energy, minimal direction, and no clear payoff. GWI just handed out the script.

The consumer intelligence firm quietly dropped one of the strongest, most usable frameworks we’ve seen for building actual GenAI strategies inside organizations. Not a hype sheet. A working playbook… focused on real use cases, ROI, and org readiness.

What makes it stand out? For starters, GWI steers clear of the standard AI sins… fuzzy business goals, mysterious tech stacks, and half baked pilots that excite the CTO but never leave the team wiki.

Instead, it zeroes in on tactical, measurable outcomes like shortening content production cycles or lifting conversion rates. Things you can set a KPI around.

One of the framework’s core messages is also one of GenAI’s most overlooked truths… quality data beats clever prompts.

GWI leans hard into grounding outputs with real consumer insight… think CRM signals, audience preferences, and proprietary first party data. No shortcuts here. It’s human sourced intelligence powering machine generated content.

Then there's the refreshingly pragmatic stance on human oversight. Far from handing the keys to the algorithm, GWI recommends clear check in points like legal review and IP checks. Not just because it’s smart compliance but because AI without humans still makes a lot of expensive mistakes.

And for teams stuck in the “pilot” zone? There’s guidance there too.

GWI’s tools allow direct export of customer segments into ad platforms like Meta and TikTok for testing GenAI generated content in market. It’s ROI validation in real time.

For founders, there’s a second layer of value here… if your startup sells into the enterprise, study this framework. Enterprises are laser focused on data control, internal tooling, and measurable outcomes. Shape your pitch accordingly.

Bottom line… GenAI without strategy is a sandbox that no one wants to budget for. GWI just gave us a blueprint for turning experiments into execution. Worth stealing.

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🧠 The Download

Financial giants embrace agentic AI one small pilot at a time. Instead of AI moonshots, banks and insurers are scaling modular agents…

Salesforce declares war for the enterprise AI stack… good news if you're building on the stack, bad news if you're not ready to compete with it.

Alibaba enters the AI chip race with a made in China answer to Nvidia… it’s a real play for edge in cost, latency, and compliance in Asia's growing enterprise AI market.

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Nvidia’s latest earnings print didn’t just beat expectations… it blasted them, powering the S&P 500 to record highs while signaling AI chip demand remains insatiable. As rivals scramble, Alibaba’s in house chip reveal shows the global AI arms race entering Phase Two.

EdgeCore AI landed a $110M Series D backed by Coatue and SoftBank, positioning itself as the enterprise safeguard for LLM privacy. Across the Pacific, Anker AI’s $300M pre-IPO round drew in ByteDance and Temasek, pulling venture dollars deeper into geopolitically exposed AI hardware supply chains.

Pundi AI’s token jumped 17% after locking in a partnership with THENA Finance to bring its AI inference marketplace to BNB Chain. These aren’t just token plays… they’re infrastructure bets on AI’s data monetization layer.

📊 Read the full Midas MarketPulse here

That’s your daily update in AI. On a final note, if you haven’t played with Nano Banana yet, you are missing out. It has changed the AI image gen game for advertising and product placement.

More on that next week ;)

Midas