Inference demand seems to keep rising with each new generation of AI models. It feels like the ultimate Jevons Paradox in action: better AI capabilities lead to more usage, more token demand, and more workloads shifting from humans to machines. As models improve, companies don't just use less AI; they find more ways to deploy it. Now, it looks like OpenAI is facing this same trend of accelerating inference demand. From where I stand, the winners might not only be the model creators but also the infrastructure providers powering the AI economy. I'm watching a few names in this space: $Microsoft(MSFT)$  for its AI ecosystem and cloud infrastructure, $Oracle(ORCL)$  for AI cloud capacity,

$Microsoft(MSFT)$ If I had to pick just one mega-cap to hold for the next five years, Microsoft would be a strong contender. My reasoning comes down to a few key points: consistent revenue growth around 10%, massive free cash flow of $68.9B, impressive gross margins of 63%, and a very solid balance sheet. Its core strengths in AI, Cloud, and Enterprise Software are hard to ignore. The best long-term investments aren't just about growth; they're about businesses that can compound over time. Microsoft has built one of the strongest ecosystems in tech, and the combination of Azure, AI, and enterprise software looks like a powerful engine for sustained growth. Short-term price moves are inevitable, but the value of a great business is measured ov

$Microsoft(MSFT)$ Looks like a steady day of institutional accumulation.

Apple $Apple(AAPL)$  is pushing into new all-time highs. The market is paying close attention as the stock gains momentum after the major legal battle involving OpenAI. Whether this becomes a lasting catalyst or just short-term excitement, the price action is telling its own story. Large-cap stocks don't move like this without attention from institutions. I'm watching the trend, volume, and how $Apple(AAPL)$  handles these new levels.

$Apple(AAPL)$  I'm personally fine as long as the market looks green.

$Apple(AAPL)$ A trade idea I was looking at: the July 17th 320 call. The trigger was 317.40, target 320, stop 316. Apple closed at 315.32. The setup is pretty simple, basically looking for a breakout to new highs. The opportunity seems to come from the relative strength and the range expansion the stock has shown over the last couple of weeks.

$Tesla Motors(TSLA)$  $NVIDIA(NVDA)$  is showing the heaviest bullish flow today, with over $50M each. That's not just noise, it's where the market is focused. It still doesn't mean it's a free pass to chase blindly. The flow tells you where the battle is, but the price still has to confirm it.

$Apple(AAPL)$  Looks like it could be the first one to break its all-time high.

The industry is moving from a first phase of capital-intensive data center builds to a second phase focused on actively monetizing cloud backlogs. Cloud growth keeps accelerating, largely driven by the rise of enterprise AI workloads. In my view, there's still a massive digital runway left to capture. Even as enterprise AI adoption grows, trillions of everyday operational workflows haven't yet deployed autonomous AI agents. Globally, data creation has grown more than 3x over the last five years to over 230 zettabytes. Meanwhile, AI tokens have exploded from near zero to tens of quadrillions per month, with no signs of slowing down. Companies are also optimizing margins through aggressive cost rationalization. This is being driven by internalizing custom hardware and a strategic pivot away

$Apple(AAPL)$ Spending and contracts are real and not circular, which is good for AVGO.

$Tesla Motors(TSLA)$ Looking for a move back to the $415-420 range soon.

$Microsoft(MSFT)$  The stock could move to the $450-500 range over the next 12-18 months. The negative noise seems overblown.

$Tesla Motors(TSLA)$ The market's reaction to a 20% earnings beat seems a bit odd. It's hard to believe that kind of positive surprise was already fully priced in, leading to a sell-off.

$BlackBerry(BB)$ BB.TSX $Apple(AAPL)$ 

$Klarna Group plc(KLAR)$ The stock looks undervalued at the moment. There are major shopping events in the second half of the year. As consumer products like the iPhone, iPad, and MacBook see price increases, buy-now-pay-later services such as Klarna could benefit. I think the stock could reach $50 soon. $Apple(AAPL)$  $SPDR S&P 500 ETF Trust(SPY)$  $Invesco QQQ(QQQ)$ 

June's trading results are now finalized. 52 trades were executed, resulting in $55,472 in realized profit/loss with a profit factor of 7.24. While the recap gets the attention, the actual effort is put in long before the results materialize. Looking ahead to July. $SPDR S&P 500 ETF Trust(SPY)$  SPX $Invesco QQQ(QQQ)$  $Apple(AAPL)$  $Tesla Motors(TSLA)$ 

$Greenland Energy Co(GLND)$ I've got more funds to put into this tomorrow. The price is ridiculously low. Greenland Energy is the only company with oil & gas drilling permits in Greenland. Everyone knows Greenland has an abundance of oil, and there are already clues—oil is seeping to the surface in some places. Trillions of dollars are at stake.

$Microsoft(MSFT)$  Management should be buying back as much as they can at these prices.

$Microsoft(MSFT)$  AI infrastructure and data center spending will eventually peak and then slow down. The long-term winners will be: MSFT, GOOGL, META, AMZN win the long game because they own the recurring revenue layer: AI agents, AI copilots, AI search, AI cloud workloads, AI enterprise automation, AI developer tools, AI-powered ads, AI-powered commerce. Hardware is one-time revenue. AI software is infinite recurring revenue. This is why the hyperscalers eventually outperform the hardware names.

$Microsoft(MSFT)$ Honestly, “unbelievable” is a fitting word for how Microsoft keeps showing up in every major theme. AI, cloud, infrastructure, enterprise software — it always feels like MSFT is sitting right in the middle of whatever the market is obsessing over at the moment. What’s a bit wild is how many different narratives are stacking up at the same time: valuation debates, massive AI spend, Copilot expansion, cloud competition… it’s never just one thing with this company. And that’s probably why people react the way they do — not because of a single headline, but because the story keeps getting re-written while the company remains at the center of it. Still feels like one of those names where the longer-term setup matters way more tha