Meta Hits Reset, Cisco Eyes AI Agents, and Salesforce Supercharges Its Stack

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Hi there, Innovators!

While everyone’s busy asking whether AGI is a decade away or a delusion, Meta is doing what most companies whisper about but rarely attempt: a full-blown AI team restructure aimed at going all-in on AGI. Meanwhile, Cisco just dropped a mind-bender of a stat about the future of customer service (spoiler: humans might soon be the support team’s backup). And Salesforce is shopping, Informatica-style, to beef up their agentic AI capabilities.

Let’s dive into why this matters for you, your org, and the future of enterprise AI.

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Meta’s Restructuring to Chase AGI: A Fork in the LLaMA

Meta just folded its core AI research teams into one moonshot-worthy mission: building AGI. That means Yann LeCun’s fundamental research group and the GenAI teams behind LLaMA are now singing from the same hymnal. Meta’s CTO Andrew Bosworth called it “doubling down,” but others might see it as rearranging the rocket boosters mid-flight.

Here’s what’s new:

• Meta’s AI is no longer bifurcated between foundational research and product models. It’s now an all-in-one AGI pursuit.

• LLaMA will remain the crown jewel, but the company wants one model to rule them all—across chatbots, Reels, Ads, and even glasses.

• Bosworth says this gives Meta “one clear direction”—a polite way of saying the old way wasn’t cutting it.

Why enterprises should care:
This isn’t just about Meta. When a $1.3 trillion company restructures around AGI, it signals to the entire industry that generalization (not just specialization) is the new goalpost. Expect more vendor roadmaps to start using the AGI buzzword not as a future “maybe,” but as a current mandate.

Bottom line: Meta’s placing a big bet that the winner of the AGI race will both own models and the platforms where users live, work, and scroll. Enterprises building or buying LLM tools should pay close attention to how this consolidation changes the speed, scalability, and interoperability of Meta’s ecosystem.

What to watch
New Report Claims Agentic AI Will Dominate Support by 2028

Let’s be honest—agentic AI sounds like something a consultant says when they want to charge double. But Cisco just gave it weight. According to new research, agentic AI (think: autonomous, goal-seeking digital agents) is expected to handle 68% of customer service and support interactions by 2028.

Yes, 68%. As in, nearly seven out of ten interactions won’t need a human within three years from today.

Cisco’s framing makes this less “the robots are coming” and more “the agents are already onboarding.” These systems don’t just answer questions—they set goals, complete tasks, and escalate intelligently.

Agentic AI is defined as:

• Autonomous, task-completing

• Continuously learning from interactions

• Orchestrating cross-platform workflows without human prompts

Why this matters for your enterprise:

• Customer support is about to shift from call center to command center.

• Companies that adopt agentic AI early will reduce churn, slash costs, and speed up resolution timeframes dramatically.

• This will redefine team roles. Less script-following, more decision-making.

Enterprise Action Tip: If your service org is still relying on chatbots with limited if-then logic, you’re already behind. Start mapping your customer journey to identify places where autonomous agents can replace—or augment—manual intervention.

In the news

1. NVIDIA's cooling forecast spooks the market
NVIDIA warned investors that its meteoric growth might slow down, despite still printing billions in profit. Wall Street flinched—and so should any org betting its future on GPU-based scaling.
Full scoop →

2. Salesforce to acquire Informatica
Salesforce is acquiring Informatica to deepen its agentic AI stack. This isn’t just a data play—it’s a sign that the CRM giant wants a tighter grip on data orchestration for intelligent agents.
Get the report →

3. European financiers under pressure to adopt AI
The EU’s cautious optimism toward AI is starting to look more like a mandate. Regulatory frameworks are tightening, but the real squeeze is coming from performance benchmarks.
Read more →

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TL;DR (Too Long; Didn’t Robot):

• Meta reorgs for AGI: Meta consolidates its AI orgs to focus fully on AGI, centering LLaMA as the flagship model.

• Agentic AI goes mainstream: Cisco forecasts agentic AI will manage 68% of customer service interactions by 2028.

• Salesforce buys Informatica: A big bet on data-driven AI agents.

• NVIDIA cools expectations: Market reacts to slowing growth.

• EU finance feels the AI heat: Regulation meets performance pressure.

Stay sharp,

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