$900,000,000,000. That’s the valuation Anthropic is reportedly closing in on as of mid-May 2026. For context, that figure would place a company that most non-tech people still can’t pronounce correctly somewhere in the neighborhood of the world’s most valuable corporations. And it tells you everything you need to know about where the AI toolkit space is heading right now.
I’m Tyler Brooks, and I review AI toolkits for a living. What works, what doesn’t, what’s marketing fluff versus genuine utility. May 2026 has given me a lot to chew on, so let me break down what actually matters for those of us building with these tools every day.
Google Is Stacking the Deck Before I/O
As of May 18, Google I/O was just 48 hours away, and the company had already been on a tear. Looking at the pattern from March and April alone, Google has been shipping at a pace that’s frankly hard to keep up with as a reviewer.
In March, they expanded Search Live and rolled out more ways to access what they’re calling Personal Intelligence. In April, they launched a wave of free AI tools aimed at helping people work, study, and create. And their Cloud Next ’26 event was entirely focused on agentic AI — helping businesses actually deploy AI agents with new platform releases.
From my testing bench, the agentic AI push is the most significant development here. We’re moving past the era of “type a prompt, get a response” and into territory where AI systems take multi-step actions on your behalf. For toolkit users, that means the evaluation criteria are shifting. It’s no longer just about output quality. Now I’m asking: How well does this agent handle failure states? How transparent is its decision-making chain? Can I actually trust it with a real workflow?
I’ll have a full hands-on review once the I/O announcements crystallize into actual shipping products. But Google’s velocity here is undeniable.
Anthropic’s Valuation Tells a Story About Developer Trust
Back to that $900 billion number. Anthropic approaching that figure isn’t just financial news — it’s a signal about where developers and enterprises are placing their bets. In my experience reviewing Claude-based toolkits and integrations over the past year, Anthropic has earned a reputation for reliability and safety that translates directly into developer confidence.
When I talk to teams building production applications, the conversation has shifted. A year ago, people asked “which model is smartest?” Now they ask “which model can I trust not to break my customer’s experience?” That trust premium is, apparently, worth nearly a trillion dollars.
For toolkit reviewers like me, Anthropic’s rise means more third-party integrations to test, more wrappers and frameworks building on their API, and more competition pushing everyone’s standards higher. That’s good news for builders.
Meta’s Avocado Model and the Sound of Silence
Then there’s the curious case of Meta’s Avocado model. Long-teased, much-discussed in developer circles, and as of mid-May — completely silent. No updates, no launch timeline, no public demos.
I’ve learned to be skeptical of vapor in this space. Until I can run a model through my standard evaluation suite — testing it against real tasks, measuring latency, checking output consistency — it doesn’t exist in my review universe. Meta has strong open-source credentials with their Llama family, but an announced model that goes quiet is a yellow flag, not a red one. I’m watching, but I’m not waiting.
What This Means for Toolkit Users Right Now
Here’s my honest take on May 2026 for anyone choosing tools today:
- Google’s agentic AI releases from Cloud Next ’26 are worth evaluating if you’re building business automation. The April tooling was solid for individual productivity, and the enterprise-grade agent infrastructure could be genuinely useful.
- Anthropic-based tools remain a safe bet for production reliability, and that investment momentum means long-term support is likely.
- Don’t build your roadmap around unshipped products. Meta’s Avocado may arrive eventually, but plan with what’s available now.
The pace of announcements in 2026 has been relentless. March brought personal AI features, April delivered creative and productivity tools plus enterprise agent infrastructure, and May is shaping up to be a consolidation month where the biggest players show their full hands.
I’ll be testing everything that ships from Google I/O the moment it’s available. Until then, my advice stays the same as always: ignore the hype, test the tools yourself, and trust the results you can measure. That’s what I do here at agntbox, and $900 billion valuations don’t change the methodology.
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