Agreement adds new baseload supply to the PJM grid equivalent to a new nuclear reactor

Constellation to deploy Google Cloud and Gemini Enterprise to build the “AI for Energy” blueprint for next-generation grid operations to improve affordability and resiliency | $CEG $GOOG $GOOGL

When the U.S. indices post a convincingly strong May, as the S&P 500 has done in multiple years that later delivered double-digit gains through November, the probability of a meaningful bull run into year-end rises sharply.

History doesn’t repeat, but it rhymes: strong early-year momentum, especially in tech-heavy environments, has repeatedly carried through the second half. November itself has been positive for the S&P 500 roughly 59% of the time since 1927, with even stronger odds and bigger average gains in the Nasdaq-100 during confirmed uptrends.

The pattern isn’t magic, it’s momentum meeting real capital deployment.

Add the pending wave of mega-IPOs and the setup gets even more compelling. 2026 is shaping up as the biggest AI-centric listing year on record.

OpenAI, Anthropic, SpaceX, Databricks, and several other AI infrastructure and enterprise plays are all in the pipeline or actively preparing, collectively valued in the trillions.

These aren’t vaporware roadshows, they’re companies with proven products, paying customers, and explosive growth already baked in. When they hit the public markets later this year, fresh liquidity, retail participation, and institutional FOMO will pour in, exactly the kind of catalyst that extended prior tech-led rallies well beyond the summer.

And let’s be crystal clear on the bubble noise: this is not the dot-com era.

Back then, the market ran on promises, eyeballs, and “we’ll figure out revenue later.”

Today’s AI leaders are delivering actual numbers, real revenues, real profits, real infrastructure.

Nvidia $NVDA posted over $215 billion in FY2026 revenue (up 65% YoY) with sky-high margins because enterprises are buying chips and systems that generate immediate ROI.

Microsoft $MSFT, Google $GOOGL, Amazon AWS $AMZN, and $META are each guiding hundreds of billions in AI capex this year alone, collectively north of $700 billion in 2026, with Wall Street now projecting the hyperscalers could exceed $1 trillion in 2027.

That’s not speculation, that’s announced, budgeted spend on data centers, chips, and power that is already flowing through to suppliers and ecosystems.

The real bull market in AI and its adjacent branches, robotics, autonomous systems, enterprise software, optoelectronics, photonics, … is still ahead of us.

The next 24 months will see capex scale exponentially as the infrastructure buildout moves from pilot to production.

$NVDA’s data-center revenue, $MSFT’s Azure AI backlog, $GOOGL’s cloud acceleration, and the coming humanoid and embodied-AI tailwinds are all grounded in paying customers and measurable productivity gains.

Anyone still chasing doomsayer short gurus like “The Big Nothing” is voluntarily parking on the sidelines while the actual economy rewires itself around intelligence at scale.

Bottom line: a strong May isn’t the peak, it’s the confirmation signal.

The IPO calendar is loaded with generational names, the spending is committed and accelerating, and the fundamentals are delivering where the dot-com era only dreamed.

The smart money isn’t waiting for the next bearish headline, it’s positioned for the delivery phase of the AI revolution.

NFA. DYOR. E&OE.