Who’s Really in Control? AI’s Latest Power Plays

TGIF, Leaders!

Some weeks in AI feel like a slow news cycle. This is not one of those weeks.

We’ve got Meta going full Skynet on small businesses, Google deciding it can out-predict the weather, Anthropic quietly lobbying for AI guardrails, and the WHO stepping in before AI starts handing out questionable medical advice.

Let’s unpack the madness.

Meta’s AI Play: A Game Changer or More Noise?

Meta just unveiled its biggest AI push yet, targeting hundreds of millions of businesses with agentic AI designed to automate core functions like customer service, sales, and operations. The ambition? Turn AI into the backbone of business workflows—at scale.

The Enterprise Angle: Why This Matters

For large enterprises, this isn’t just a small business play—it’s a signal that AI-powered automation is becoming table stakes. Meta’s vast ecosystem (WhatsApp, Instagram, Facebook, and Messenger) already serves as a key customer engagement channel. If its agentic AI delivers, we’re looking at:

• A major shift in customer experience: AI-driven interactions will go beyond basic chatbots, handling real-time, multi-platform engagement at an unprecedented scale.

• The rise of AI-powered commerce: Automated product recommendations, AI-driven customer support, and sales funnels that require little to no human intervention.

• Operational efficiency at a fraction of the cost: Businesses, especially those in e-commerce and service industries, could slash overhead by offloading routine interactions to AI.

The Catch: AI Fatigue & Execution Risk

Enterprises have seen plenty of AI hype before—and most of it falls short. Business leaders will be watching closely to see if Meta can overcome the biggest barriers to adoption:

1. Reliability & Trust: AI has to be good enough to replace real employees—without frustrating customers.

2. Seamless Integration: If businesses can’t easily plug it into their existing workflows, adoption will stall.

3. Data & Privacy Concerns: Meta’s track record with data privacy isn’t spotless. Will enterprises trust its AI with sensitive customer interactions?

If Meta gets this right, it won’t just be helping small businesses—it’ll be redefining how enterprises interact with customers at scale. If it gets it wrong? Just another AI tool collecting dust.

Anthropic’s Policy Play: Reading the Regulatory Room

Anthropic just sent a love letter (read: serious policy recommendations) to the White House, asking for stronger AI governance. Their main takeaways?

1. AI safety first, launches later. Less of the “move fast and break things” and more of the “maybe don’t deploy this until it’s not a flaming pile of risk.”

2. Don’t let AI become a corporate free-for-all. Big models = big responsibilities, and they want stricter oversight.

3. Stop the black box nonsense. If AI is making decisions that impact society, people should actually know how it works.

This is all pretty self-aware for a company literally selling AI, but it’s also a strategic move—getting ahead of regulation means avoiding the kind of PR nightmares that keep legal teams awake at night.

Google Cloud vs. The Weather Gods

Ever looked at a weather app and thought, “Wow, why is this forecast wildly inaccurate?” Google Cloud has too, and instead of just shaking their fists at the sky, they built an AI-powered weather prediction system.

Why this matters:

• Better climate risk management for industries that need to know when the next hurricane is coming.

• Yet another AI flex from Google Cloud, proving they can do more than just write questionable poetry with Gemini.

• A low-key revenue play. Enterprises will pay big for precise climate forecasting, and Google Cloud is ready to sell them the data.

Bottom line: If this works, it’s goodbye questionable weather forecasts, hello machine-learning-powered certainty (until the models hallucinate a tornado where there isn’t one).

WHO Steps In Before AI Starts Playing Doctor

The World Health Organization (WHO) has officially entered the AI chat. They just launched a collaborating center dedicated to AI governance in healthcare, because apparently, nobody wants ChatGPT diagnosing their flu as a rare tropical disease.

This is a huge move for anyone building AI for healthcare—expect tighter regulations, more audits, and a lot of questions about how your model avoids bias before it gets FDA approval. If you’re in health tech and haven’t started prepping for regulatory scrutiny, consider this your warning shot.

TL;DR (Too Long, Didn’t Robot):

• Anthropic is lobbying for AI regulations before regulators go wild on their own. Smart move.

• Meta wants AI to run every small business on the planet, but it has to actually work first.

• Google Cloud is trying to outsmart the weather, which is ambitious (and potentially lucrative).

• WHO is putting AI in healthcare under the microscope, because bad AI diagnoses = lawsuits.

Moral of the story? AI is moving at breakneck speed, but regulations, user trust, and real-world performance still matter. Let’s see which companies figure that out before the market does it for them.

Stay sharp,

Cat Valverde
Founder, Enterprise AI Solutions
Navigating Tomorrow's Tech Landscape Together