The hard part is not the technology. It is trust.
By the time a model demos well, the real work is just starting: what a company will put its name on, who owns it when it breaks, and how a team changes to actually use it.
AI go-to-market, adoption, and strategy
I take AI to market, and I make sure it actually gets used.
At Meta, I take emerging AI products from concept to paying customers, across enterprise and small business. Before that, fifteen years bringing new technology to market in tech and telecom across the Americas. I use these tools myself every day, so I meet customers as someone who actually uses this, not someone reading from a deck.
English, Portuguese, and Spanish. New York and Sao Paulo.
Point of view
By the time a model demos well, the real work is just starting: what a company will put its name on, who owns it when it breaks, and how a team changes to actually use it.
I run my own work on these tools every day, so I can tell a team where the real value is and where the hype starts. I have usually hit the walls they are about to hit.
It is moving from what a tool does in a demo to what a business rebuilds around it. That is a leadership call, and most companies are still deciding who owns it.
The work
At Meta, I take emerging AI products from concept to paying customers, across enterprise and small business. The seat gives me an honest view of how companies actually adopt this.
I am not the engineer who ships the product. I am the heavy user who lives in these tools and automates my own work with them, so I sit across from a customer as someone who actually uses this, not someone reading from a deck.
Emerging AI does not come with a manual. I work it from the first conversation to real adoption, turning what a product can do into what a business will actually change in order to use it.
I have carried large enterprise relationships on the sell side, and I run my own paid acquisition on the buy side: the ads, the analytics, the unit economics. I read what the customer reads, because I am one.
I was part of the team that brought WhatsApp Business to the US, a category that did not exist here when we started. It taught me how a genuinely new product earns its way into real companies.
Before Meta, TIM in Brazil. Nine years at Meta since, the first two in Sao Paulo before I relocated to New York. Fifteen-plus years in total across tech, telecom, and e-commerce in Latin America and North America, a move I earned on results.
Speaking, teaching, and judging
I speak, teach, and judge when the work is worth sharing, usually about how AI actually gets adopted, not how it demos.
Beyond Automation: How AI Is Unlocking a New Era of Human Potential
The End of the All-Knowing Leader


















Beyond the day job
Teaching Teaching the AI-Powered Digital Marketing & Growth MBA class, Brazil
In September and October I taught Social Media, Influencers & Creators to the MBA students as an invited professor. We had three live classes on how AI is changing content, creators and measurement, using Brazilian brand cases, and the groups built their final projects with AI.
Perceptions of a World in Motion
It started as a blog I co-wrote at university, while I was studying International Relations. In 2010 a public vote named it the best politics blog in Brazil. The book gathers the best of those posts, a record of how the world looked and felt through the 2010s.

I mentor operators and founders working AI into their companies, the people doing the unglamorous work of real adoption.

Second year, on the AI track. A Business Strategy postgraduate from FIA before that.
Quick facts
A Business AI Specialist at Meta in New York, where he takes emerging AI products for businesses from concept to paying customers, across enterprise and small business. He has fifteen-plus years bringing new technology to market in tech and telecom across Latin America and North America, and was part of the team that brought WhatsApp Business to the U.S.
He thinks the model is the least important part. Companies get value when someone owns the tool after the demo and the team actually changes its routine. His opinions come from running his own work on these tools, every single day.
Two NY Tech Week 2026 sessions (a panel and a conversation), NYU Stern and Meta business forums, and the Leadership at the Edge of AI podcast. He was an invited judge at the BTE Hackathon, run by NYU Stern and Microsoft Garage. He also teaches: in 2026 he was an invited professor at Faculdade Impacta in Brazil, teaching Social Media, Influencers & Creators to its AI-Powered Digital Marketing & Growth MBA class.
Before Meta he spent eight years at TIM Brasil, where he ran the national sales intelligence team. He studied International Relations at UNESP, did a postgraduate program in business strategy at FIA, and is now in the NYU Stern Executive MBA (AI track, Class of 2027). He co-wrote the book Pagina Internacional. He works in English, Portuguese and Spanish.
Senior roles in AI go-to-market and adoption, advisory or board seats, and talks. The quickest way to reach him is email (me@alcir.ai) or LinkedIn, and there is a booking link on this page.
Contact
I am open to the right conversations: senior and leadership roles, advisory and board work, and speaking. Not a pitch, a conversation.