Causeit, Inc.

05/22/2025

We’re entering the AI era—and today at in Mexico City I’m unveiling our core to guide us through both its promise and its peril. We’ve distilled decades of human–machine insight into four competing priorities that balance bold innovation with deep responsibility:

• ⚙️ Augmentation over automation – pairing human judgment with machine speed rather than replacing people
• 🧠 Talent over technology – investing in AI fluency and critical thinking before buying more tools
• 🤝 Ethics over economics – establishing fair, transparent AI before chasing short-term savings
• 🎨 Voice over volume – creativity and authenticity matter more than mass-produced content

These decision principles help us generate local AI value, iterate toward exponential impact, measure what truly counts (creativity, trust, engagement, resilience), and design inclusive, sustainable systems.

I’m proud to announce that IAB will adopt this manifesto under a Creative Commons license—just as you can—to drive real change across our industry. I’m partnering with IAB’s committees to evolve this starting manifesto for their context, to empower brands, agencies, and advertisers to harness AI for real, lasting value—tuned to the Mexican context and built on trust.

Read the full manifesto at digitalfluency.guide/ai-manifesto?utm_source=facebook&utm_medium=Zoho+Social México

A manifesto for sustainable and ethical AI usage in industries and society

09/09/2024

Really, search? #2024 … cc

09/03/2024

of CNBC interviewed MJ at the RMB - Rand Merchant Bank about IP, copyrights, security, and generative AI. While it was the last (and thus brief) question of a great, in-depth session, we felt like it did provide a super-quick framing for the un-initiated. Share if you will!

08/30/2024

Pop quiz: what's the difference between a , a , and an ?

We've been editing a talk MJ did with RMB - Rand Merchant Bank at their and thought we''d toss out a little preview clip for your Friday enjoyment. And maybe you can stump your colleagues or kids and use it to open up a bit of a conversation about our future :)

07/18/2024

👏 EXPERIENCE 👏 IS 👏 ONLY 👏 ONE 👏 KIND 👏 OF 👏 DATA. In the AI era, testing the assumptions baked into our decision-making is more important than ever. As we saw during the pandemic, the experiences executives drew upon for decision-making weren't always relevant to the world of remote work and lockdowns.

In the era of AI, we know that we can't just make decisions based on pre-AI mindsets. We wrote this guide to making decisions with all types of data—not just our hunches, intuition, and stories from the pre-AI era—to guide leaders moving their organizations towards more rigorous decision-making.

How are you bringing new mindsets and practices to decision-making? What's working—and what's not?

https://www.digitalfluency.guide/making-decisions-with-data/introduction-to-making-decisions-with-data

In recent years, many organizations have loudly embraced 'data-driven decision-making.' Using data to make decisions isn't new, but some of the digital tools available now make it easier than ever to collect and analyze data points from across a business in one place.

03/05/2024

Yeah, promises a lot. For GenAI to fly in the enterprise setting, generative AI programs will have to show results (even in their early days) to justify ongoing investment. These programs will need to do more than a 'faster, better or cheaper' version of our existing ways of working. True generative AI program scorecards will go beyond cost savings and revenue to also include innovation as well as human impacts (good and bad).

https://www.linkedin.com/pulse/generative-ai-how-do-we-measure-success-mj-petroni/?trackingId=26T7lWWfSFCA%2FTRyAy%2Flag%3D%3D

03/05/2024

What if the 'filter bubble' (or echo chamber of content and people we agree with) is more of an in-person issue than an online one? This video (from the excellent Kurzgesagt) unpacks why social media algorithmic bias is just one piece of the puzzle, and our 'daily life' bubble of people and circumstances may actually be the bigger issue. (Their sources are here: https://sites.google.com/view/sources-why-we-hate-each-other/ )

Note: this very end of this video has a bit of a paid promo for Ground Truth News, which itself is an interesting case study in countering bias.

Go to https://ground.news/nutshell to get 30% off unlimited access to Ground News - a website and app that gathers the world’s news in one place so you can c...

02/27/2024

💰So… um… what ARE the different kinds of value models in the and ? We wrote a guide for those who are still trying to find the words to describe the difference between value created in 'digital' organizations and 'analog' ones. Learn how businesses create value through asset building, service provision, idea generation, and network orchestration—and which strategies are more exponential than others. 📈📉

Upgrade to the Thinking, Data, Business Models, Tools and Skills of the Digital Era.