Rising Entities - Monthly
3 conversational turns exploring this topic
Q: What companies rose the most this month?
Subject: Forget the Hype, This is What Really Matters
Ins7ghts Readers,
AI isn't just changing the game; it's rewriting the rulebook. This month's "rising stars" aren't just about fleeting popularity; they're flashing neon signs pointing to the future architecture of the data landscape.
Look at the numbers:
| Entity | Type | Growth (%) | Key Takeaway |
|---|---|---|---|
| Microsoft | Organization | 13,800% | Azure is the de facto enterprise AI platform. |
| OpenAI | Organization | 24,100% | The API wars are heating up. |
| U.S. | Location | 5,360% | Regulation is coming, ready or not. |
| Azure | Organization | 8,300% | See Microsoft. |
| China | Location | 8,250% | The other AI superpower. Watch their moves. |
| Claude | Person | 33,100% | Anthropic is making waves. |
| Meta | Organization | 8,025% | Don't count them out of the AI race. |
| Python | Organization | 7,900% | The language of AI. |
The Noise: Everyone's talking about individual models and benchmarks. Who cares? That's a feature, not a platform.
What Actually Matters: The infrastructure layer is where the real battle is being fought. Microsoft, through its Azure platform and partnership with OpenAI, is positioning itself to be the AWS of AI. This isn't just about hosting models; it's about providing the entire stack – compute, data storage, AI tools, and enterprise integration.
My Hot Take: The rise of "Claude" (Anthropic) is the canary in the coal mine. It shows that the market desperately wants alternatives to the OpenAI/Microsoft duopoly. Expect to see more challengers emerge, each carving out a niche based on specific AI capabilities or ethical considerations. Meta is also a sleeping giant here, with the potential to leverage its massive user base and data assets.
The China Factor: Don't ignore the geopolitical dimension. China's rapid rise in AI isn't just about technological prowess; it's about strategic dominance. Expect to see increased competition and potentially fragmented AI ecosystems along national lines.
Actionable Advice:
- Skill Up on Azure: If you're in the enterprise space, Azure AI is becoming unavoidable.
- Explore Alternatives: Don't get locked into a single vendor. Experiment with different models and platforms. Anthropic, Cohere, and others are worth a look.
- Prepare for Regulation: The U.S. government's increased focus on AI signals impending regulation. Start thinking about ethical considerations, data privacy, and responsible AI practices now.
This isn't just about keeping up with the latest trends; it's about understanding the tectonic shifts reshaping our industry. Stay informed, stay adaptable, and stay ahead of the curve.
– Yves
Q: Compare with last month's risers
Subject: Forget the Hype, This is What Really Matters (Part 2)
Ins7ghts Readers,
AI isn't just changing the game; it's rewriting the rulebook. This month's "rising stars" aren't just about fleeting popularity... it's about a tectonic shift in power. Last month, we saw the usual suspects jockeying for position. This month? It's a two-horse race, and everyone else is eating dust.
Forget the noise about "ethical AI" and "responsible innovation" for a minute. The data is screaming one thing: Microsoft and OpenAI are consolidating their dominance at an alarming rate.
Here's the breakdown:
| Entity | Type | This Month's Score | Last Month's Score | Growth (%) | Key Takeaway |
|---|---|---|---|---|---|
| Microsoft | Organization | 834 | 6 | 13800.0 | The 800-pound gorilla. Their Azure integration with OpenAI is paying off massively. This isn't just about OpenAI's tech; it's about Microsoft's distribution muscle. |
| OpenAI | Organization | 726 | 3 | 24100.0 | Obvious, yes, but the scale of growth is what's truly staggering. They're not just leading in model development; they're becoming synonymous with AI itself. |
| U.S. | Location | 546 | 10 | 5360.0 | Increased focus on AI regulation and national security implications. Expect more policy debates and potential restrictions. |
| Azure | Organization | 420 | 5 | 8300.0 | See Microsoft. Azure is the only cloud platform seriously challenging AWS in the AI era. |
| China | Location | 334 | 4 | 8250.0 | The AI arms race is real. China's rapid progress and investment in AI are raising eyebrows (and budgets) in the West. |
| Claude | Person | 332 | 1 | 33100.0 | Anthropic's Claude is gaining serious traction as a viable alternative to GPT models. Keep an eye on them. |
| Meta | Organization | 325 | 4 | 8025.0 | Meta's AI efforts are starting to register, but they're still playing catch-up. Their open-source approach might be a long-term advantage. |
| Python | Organization | 319 | 2 | 15850.0 | The language of AI. Python's dominance in data science and machine learning remains unchallenged. |
My Hot Take: The concentration of power in the hands of Microsoft and OpenAI is a double-edged sword. Innovation will accelerate, but at what cost? We risk a monoculture where alternative approaches are stifled. Remember the browser wars? We might be heading for something similar, but with far greater implications.
Last month's "risers" were a mixed bag of hype and potential. This month, the signal is clear: it's about infrastructure, distribution, and the platforms that enable AI at scale.
What should you do with this information?
- Diversify your skills: Don't just learn OpenAI's APIs. Understand the underlying principles of different AI architectures. Claude, for example, offers a different perspective.
- Invest in Azure expertise: Microsoft's cloud platform is becoming the place to be for AI development.
- Think strategically about data governance: As AI becomes more pervasive, the ethical and legal implications of data usage will only intensify.
Don't get caught up in the hype. Focus on the fundamentals, and you'll be well-positioned to navigate the AI revolution.
Until next time,
Yves Mulkers
Q: What's consistent across both?
Subject: Forget the Hype, This is What Really Matters (Part 2)
Ins7ghts Readers,
AI isn't just changing the game; it's rewriting the rulebook. This month's "rising stars" aren't just about fleeting popularity contests, so let's dig deeper. Last month, we saw a surge around companies promising AI solutions. This month? The focus is shifting.
You asked about consistency. Here's the kicker: The infrastructure layer is eating the AI hype.
| Company/Tech | This Month Growth (%) | Last Month Growth (%) | Key Takeaway |
|---|---|---|---|
| 2.0 | 5.0 | Steady giant; foundational, not flashy. | |
| Anthropic | 12.0 | 15.0 | Still hot, but the "shiny object" effect is wearing off slightly. |
| SQL | 1.0 | -2.0 | The real unsung hero. Data accessibility is paramount. |
| Snowflake | 13.0 | 10.0 | Data warehousing is now ground zero for AI deployment. |
| LLM | 10.0 | 20.0 | Still growing, but the focus is shifting to practical applications. |
| Databricks | 8.0 | 7.0 | Lakehouses are becoming the de facto standard for AI-ready data. |
| NVIDIA | 15.0 | 25.0 | The picks and shovels of the AI gold rush. Still essential. |
My Hot Take: Everyone's obsessed with the models, but the real battle is being fought over data. Anthropic and the LLM craze are exciting, sure. But look at the sustained growth of Snowflake, Databricks, and even good old SQL! These are the tools that allow companies to actually use AI at scale.
The Implication: The market is maturing. We're moving beyond the "wow" factor of generative AI and into the nitty-gritty of implementation. Companies are realizing that without a solid data foundation, their AI initiatives are doomed to fail.
Specific Advice:
- Stop chasing the latest model. Focus on building a robust, scalable data infrastructure. If you're still struggling with data silos and accessibility, you're already behind.
- Upskill your team on data engineering and data warehousing. Knowing how to wrangle data is now more valuable than knowing how to fine-tune a model.
- Evaluate your existing data stack. Is it AI-ready? Can it handle the demands of large-scale AI deployments? If not, start planning your migration now.
Don't get distracted by the noise. The future of AI isn't about the fanciest algorithm; it's about the best data.
Yves