Good morning ☀️, leader of the next generation.

We will talk about agents. AI agents.

They will change the way how we do business, how we interract and even how we do our everyday lives.

Agents will build business.

Agents will organize your day.

Agents will fill up your fridge.

I will let that sit in here for a while, so we can imagine and build the future together one agent at a time...

Texas freezes data center approvals amid grid overload concerns.

Texas halts new data centers as governor calls for audits

Texas has long been a magnet for tech companies looking to build data centers, thanks to its business-friendly regulations and what appeared to be an abundant power supply. Only Virginia hosts more data centers in the United States. But the sheer scale of incoming demand has pushed even the Lone Star State toward its limits.

Governor Greg Abbott announced Monday that all new data center projects in Texas will now be subject to mandatory audits by the Public Utility Commission of Texas (PUCT) and the state's grid operator, the Electric Reliability Council of Texas (ERCOT). The move marks a significant shift for a state that has historically prioritized light-touch regulation and developer freedom.

The numbers behind the decision are striking. At the start of this year, ERCOT had 233 gigawatts of projects waiting to connect to the grid. Within six months, that figure had more than doubled to 474 gigawatts. According to the grid operator, around 90% of those connection requests come from data centers. To put that in perspective, the total interconnection queue now represents more than five times ERCOT's entire peak demand.

Not all of those projects will be built. Many are little more than early-stage proposals from developers who join the queue simply to secure a place in line. A large number fizzle out before construction begins. Even so, if only a fraction of them move forward, the strain on the Texas grid could be severe.

Tech giants including Google and Microsoft have been drawn to Texas partly because of its large natural gas reserves. But renewable energy has also played a key role in keeping up with rising electricity demand. Utility-scale solar capacity grew fourfold between 2021 and 2025, according to the Energy Information Administration (EIA). During much of that period, electricity prices in Texas actually declined, according to data from energy analytics firm Amperon.

That affordability advantage, however, is beginning to erode. The EIA has linked rising electricity prices in Texas to the growing footprint of data centers and cryptocurrency mining operations, both of which consume enormous amounts of power. Abbott's directive appears aimed squarely at getting ahead of that trend before it worsens.

Under the new order, PUCT and ERCOT are required to collect detailed information from proposed data center projects, including on-site and off-site electricity and water consumption, noise mitigation measures, light controls, use of tax incentives, and ownership structures. This level of scrutiny is unusual for Texas, where even major cities like Houston operate without traditional zoning laws.

Abbott had previously attempted a softer approach, asking data center operators to voluntarily submit information. The response was largely ignored, prompting the governor to adopt a more forceful stance. Data centers have become a flashpoint in communities across the country, drawing complaints about noise, water usage, and strain on local infrastructure.

Depending on what the audits reveal, Texas could be heading toward stricter controls on new data center development — a prospect that would have seemed unlikely just a few years ago. The state that once welcomed the industry with open arms may be approaching a turning point.

Musk now dedicates nearly half his earnings call remarks to AI and robotics.

Elon Musk spends half his time talking robots and AI on Tesla earnings calls

Elon Musk is pushing hard to reframe Tesla as an AI and robotics company, despite the fact that car sales still account for 70% of its revenue. An analysis of seven years of earnings call transcripts, conducted with financial research firm Hudson Labs, found that Musk now spends nearly 50% of his speaking time on AI, robotaxis, and Full Self-Driving — up from just 15–20% in 2022.

Musk's focus on the Optimus humanoid robot has also surged, reaching nearly a third of his remarks on one 2025 call. Meanwhile, he spends less than a third of his time discussing cars and manufacturing. Other Tesla executives have shifted too, but more gradually, as AI and robotics projects have yet to generate meaningful financial returns.

🎙️ The Supercharged Podcast Is Growing

Real Conversations with the People Building the AI Future

The Supercharged Podcast is quickly becoming a space for real, unfiltered conversations about AI — beyond the hype, tools, and surface-level takes.

Each episode dives deep with founders, operators, and builders who are actively working with AI — or building AI-first companies — to uncover how it's truly changing the way work gets done.

From strategy and systems to real-world execution, these conversations are practical, honest, and focused on what actually works — not just what sounds good.

⚡ Trends for the Future

Nvidia doesn't mess around: A week after open AI industry group formed, it's already showing progress

The Open Secure AI Alliance (OSAA), an industry group spearheaded by Nvidia, has wasted no time since its formation. Already boasting more than 120 member companies, the week-old group has established a working group called the Shared AI Findings Exchange — or SAFE — and is presenting its first proposals for open public comment, managed by the Linux Foundation.

The proposals were developed as members gathered at Black Hat, the major cybersecurity conference held this week in Las Vegas. The initial guidelines focus on practical, foundational matters: how to confidentially report AI cybersecurity incidents, notify those affected, and conduct blame-free post-incident analysis so the broader industry can learn from each event. While not groundbreaking on their own, they reflect the group's intent to build a serious, collaborative framework quickly.

Beyond guidelines, members are actively pooling open source technology. Nvidia has highlighted its family of open models and an LLM vulnerability scanner called Garak. Okta is developing agent identity tools, Red Hat is working on agent governance, and Amazon has contributed both an agent-building framework called Strands Agents and an authorization language called Cedar. The collective aim is to provide enterprises with open source tools to secure AI agents and defend against emerging threats, such as rogue AI models.

The group now counts major names among its members, including Adobe, BlackRock, Cisco, Intel, Microsoft, Visa, and Hugging Face. Notable absences include Anthropic, OpenAI, and Google — though both OpenAI and Google signed the original open letter that gave rise to the alliance, which urged the White House to support rather than restrict open source AI development.

The alliance's rapid mobilization comes amid concerns that the Trump administration was considering banning Chinese open weight AI models. Supporters of the group argue that doubling down on openness — not restriction — is the strongest response to any competitive threat posed by Chinese AI labs, and the OSAA appears determined to prove that point through action.

⚡ Let’s Make AI Actually Useful:
What Would Move the Needle in *Your* Industry?

AI has potential — but generic advice rarely helps.

What would be genuinely valuable for AI to do in your industry right now?

• Automate a painful workflow?
• Improve decision-making?
• Replace a manual process that wastes time?
• Help your team upskill faster?

Tell us what you’d want AI to handle — or where you feel stuck.

We’re using these insights to curate **industry-specific trainings, live webinars, and practical guidance** you can actually apply.