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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...
⚡ WHAT'S AT STAKE TODAY ⚡
- 🏪🏢 People would rather have an Amazon warehouse in their backyard than a data center
- 🤖⛽ AI companies are building huge natural gas plants to power data centers. What could go wrong?
- 🏛️💰 Anthropic ramps up its political activities with a new PAC
- 🔄👔 OpenAI executive shuffle includes new role for COO Brad Lightcap to lead 'special projects'
- 📈🚀 Anthropic is having a moment in the private markets; SpaceX could spoil the party
- 💳💸 Anthropic says Claude Code subscribers will need to pay extra for OpenClaw usage
- 🛰️💰 Can orbital data centers help justify a massive valuation for SpaceX?
- 🎭📋 Copilot is 'for entertainment purposes only,' according to Microsoft's terms of use
- 🔍🤖 The Facebook insider building content moderation for the AI era
New polls reveal growing public opposition to data centers
People would rather have an Amazon warehouse in their backyard than a data center
The rapid expansion of data centers across the United States is facing mounting resistance from local communities, with new polling data revealing a surprising preference among Americans for alternative industrial developments in their neighborhoods.
A recent joint survey by Harvard and MIT of 1,000 respondents in November uncovered divided opinions on data center construction. While 40% of participants supported building data centers in their area, 32% opposed such developments when asked about various industrial facilities in their communities.
Perhaps most telling was the survey's comparison of different industrial options. When given choices between various facilities, respondents showed a clear preference for e-commerce warehouses over data centers. This finding suggests that communities view traditional logistics operations more favorably than the high-tech server farms powering our digital economy.
The primary concern driving opposition appears to be economic. Two-thirds of survey participants expressed worry that new data centers would drive up local electricity prices. This fear reflects the reality that data centers consume enormous amounts of power for cooling and operations, potentially straining local electrical grids and increasing costs for residential users.
While data centers do offer some community benefits, particularly in terms of job creation and economic development during construction phases, these advantages may not be enough to sway public opinion. The reality is that once operational, data centers require minimal staffing, offering fewer long-term employment opportunities compared to other industrial facilities like warehouses, which typically employ hundreds of workers for sorting, packing, and shipping operations.
A separate poll conducted by Quinnipiac University last month painted an even more concerning picture for the data center industry. This survey of 1,397 American adults found that 65% opposed building AI data centers in their communities, with only 24% expressing support. The specific mention of AI in this poll may have contributed to higher opposition rates, as artificial intelligence remains a contentious topic among many Americans.
The stark difference between the two polls highlights how framing and specific terminology can influence public perception. While general "data centers" received mixed reactions in the Harvard/MIT survey, "AI data centers" faced overwhelming opposition in the Quinnipiac poll.
This growing public resistance represents a significant shift in how communities view technological infrastructure. Data centers, once quietly humming in the background of industrial parks with little public attention, now find themselves at the center of heated local debates. The facilities that power everything from social media platforms to cloud storage services are no longer invisible to the communities that host them.
The political implications of this discontent are already becoming apparent. With such a large portion of the electorate expressing concerns about data center development, local and state politicians are increasingly being forced to take positions on these projects. Some jurisdictions have implemented moratoriums on new data center construction, while others have imposed stricter environmental and utility impact requirements.
As demand for digital services continues to grow, driven by artificial intelligence, cloud computing, and streaming services, the tension between technological necessity and community acceptance is likely to intensify. The industry may need to develop new approaches to address public concerns, potentially including better community engagement, improved energy efficiency measures, or innovative partnerships that provide more tangible local benefits.
The preference for warehouses over data centers ultimately reflects a community desire for industrial development that provides visible, lasting economic benefits while minimizing potential negative impacts on daily life.
Are You Ready to Actually Retire?
Knowing when to retire means knowing what it costs, how long your money needs to last, and where the income comes from. When to Retire: A Quick and Easy Planning Guide helps investors with $1,000,000 or more work through all of it.
Tech Giants Rush to Build Gas Plants for AI
AI companies are building huge natural gas plants to power data centers. What could go wrong?
The AI boom is driving tech giants like Microsoft, Google, and Meta to build massive natural gas power plants for their data centers. Microsoft partnered with Chevron for a 5GW facility in West Texas, while Google and Meta are constructing plants totaling over 8GW capacity.
This rush has created turbine shortages, with prices expected to rise 195% by year-end. Companies face six-year delivery waits until 2028. The risky bet assumes AI demand will continue requiring exponential power, but natural gas supplies aren't unlimited, potentially creating future energy conflicts with households and other industries.
🎙️ 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
The Facebook insider building content moderation for the AI era
Ex-Facebook exec launches Moonbounce to revolutionize AI content moderation systems.
Brett Levenson's journey from fixing Facebook's content moderation crisis to founding Moonbounce reveals the depth of safety challenges plaguing social media and AI platforms. When he joined Facebook during the Cambridge Analytica fallout, he discovered human reviewers were making decisions with just 30 seconds per piece of content using machine-translated policy documents—achieving only slightly better than 50% accuracy.
This reactive approach proved unsustainable against sophisticated bad actors and AI-generated content. The rise of AI chatbots has intensified these challenges, with high-profile incidents including chatbots providing self-harm guidance to teenagers and AI image generators creating harmful content that bypasses safety filters.
Levenson's solution was "policy as code"—transforming static policy documents into executable logic that can enforce rules in real-time. This insight led to Moonbounce, which just raised $12 million in funding co-led by Amplify Partners and StepStone Group.
Moonbounce provides an additional safety layer wherever content is generated, using its trained large language model to evaluate content at runtime and respond within 300 milliseconds. The platform currently handles over 40 million daily reviews across 100 million daily active users, serving dating apps, AI companion companies, and image generators including Channel AI, Civitai, and Dippy AI.
The company's next innovation is "iterative steering," designed to redirect harmful conversations rather than simply blocking them. Instead of blunt refusals when dangerous topics arise, the system would modify prompts in real-time to guide chatbots toward more supportive responses.
With AI companies facing mounting legal and reputational pressure following chatbot-related incidents, including a Florida teenager's suicide linked to Character AI obsession, external safety infrastructure is becoming critical. Moonbounce positions itself as a third-party solution that focuses solely on rule enforcement without the context burden that overwhelms internal chatbot systems.
While Levenson acknowledges potential acquisition interest from companies like Meta, he emphasizes wanting the technology to remain widely accessible rather than restricted to a single platform.
⚡ 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.
🌡️ Use the Satisfaction Thermometer to show us how much you enjoyed The Supercharged today ;)

The Supercharged is aiming to be the world's #1 AI business magazine and is on a mission to empower 1,000,000 entrepreneurs worldwide by 2026, guiding them through the transition into the AI-driven creative age. We're dedicated to breaking down complex technologies, sharing actionable insights, and fostering a community that thrives on innovation, to become the ultimate resource for businesses navigating the AI revolution.
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