@_Investinq
@_Investinq
Independent financial content creator and analyst; no formal affiliations mentioned, operates via Twitter and Substack
Who Is This Person?
The Twitter account @_Investinq appears to be a relatively new and rapidly growing profile focused on financial analysis, stock market insights, economic data breakdowns, and emerging tech impacts like AI on jobs. Active since at least May 2025, when it had under 1,000 followers, it has expanded to 50,000 followers by November 2025. Recent activities include detailed threads on U.S. jobs report revisions (e.g., highlighting historic downward adjustments), AI's potential to displace 11.7% of the workforce, and company deep-dives such as Circle's role in stablecoins and fintech. The account emphasizes original, thoughtful content, often thanking followers for engagement and promoting a Substack for longer write-ups. No major recent shifts in focus, but consistent posting on market trends and data credibility issues.
How Credible Are They?
@_Investinq emerges as a credible, up-and-coming voice in finance Twitter, excelling in accessible, data-backed breakdowns that appeal to investors. Unverified status and recent creation (active growth from May 2025) temper full establishment, but absence of controversies, consistent cross-platform theming via Substack, and engagement metrics (e.g., 1-2% rates with thousands of views) support reliability. Best suited for supplementary insights rather than primary advisory; monitor for long-term accuracy as influence grows.
Assessment by Grok AI
What's Their Track Record?
No documented fact-checks, corrections, or controversies identified; content relies on public economic data (e.g., BLS jobs reports, MIT AI studies) with transparent sourcing in threads. Historical posts show consistent analytical style without sensationalism, focusing on verifiable trends like benchmark revisions since 2008. Rapid growth suggests organic appeal, but limited longevity (under a year of prominence) means track record is still developing; no evidence of misinformation or disputes.
What Have We Analyzed?
Recent posts and claims we've fact-checked from this author
Post by @_Investinq
@_Investinq · Dec 3
The IBM CEO is basically doing the math and saying it doesn't add up. Building and operating a 1-gigawatt AI data center costs about $80 billion. Companies are planning roughly 100 GW of capacity, which is $8 trillion total. The problem is you'd need $800 billion per year in profit just to pay the interest on that debt. That's more than any tech company makes, so the return looks impossible at today's economics. He's highlighting a real issue that's easy to ignore when everyone's excited about AI. These data centers have short lifespans (about 5 years before chips become obsolete), so you're basically rebuilding every half-decade. On top of that, the monetization model still isn't proven. Companies haven't figured out how to extract enough value from AI to justify $8 trillion in spending. The demand would need to be absolutely massive. His math on the interest problem is solid but it's not the whole story. If AI actually delivers major productivity gains across the economy, the returns could justify it eventually. Some investors are modeling 12-18% returns on this stuff. The real question is whether the business model will actually work, which is what makes his skepticism fair.
Post by @_Investinq
@_Investinq · Oct 7
Electricity will become the biggest problem of our generation. AI data centers are projected to quadruple their power demand over the next decade reaching nearly 1,600 terawatt-hours by 2035. Every ChatGPT query, every LLM token, every AI image burns electricity and the scale is getting out of control. If AI data centers were a country, they’d rank 4th in the world for electricity use, right behind China, the U.S., and India. We’ve built the compute. Now we need to build the grid or the AI boom runs straight into a power wall, along with our electricity prices skyrocketing.