SignalX

#AIStocksWhatNext 🤖📈
My view: bullish on AI, but selective.
The AI story is no longer just about hype. Nvidia generated $96.2B in quarterly revenue, up 106% year over year, including $89B from its Data Center business. Nvidia CEO Jensen Huang has also projected that chip sales could roughly double in 2027, although that refers to chip volumes while revenue growth is expected to be lower.
Oracle is another signal: it recently announced more than $30B in new AI-cloud contracts, showing that companies are still spending heavily on AI infrastructure.
So, is AI demand really taking off? My answer is yes. The bigger question is how long the spending cycle can continue. I’m watching whether AI moves from training-heavy investment into profitable inference, enterprise applications and AI agents.
Is this a breakout or a short-term bounce? I lean toward a continuing AI cycle, but valuations matter. AMD recently crossed a $1T market cap, while the Nasdaq reached a record as AI enthusiasm returned. At the same time, investors are becoming more selective about the huge debt required to finance AI infrastructure.
What about government support? Trump has announced plans for an AI adviser and an “AI force.” Government backing can potentially accelerate infrastructure and strategic investment, but I would not treat policy announcements alone as proof that AI stocks must rise. The investment test is whether they translate into durable demand, revenue and profits.
My AI exposure: I’m featuring NVDAB, Binance's tokenized NVIDIA security. Binance states that bStocks represent the underlying stock on a 1:1 basis, although they are tokenized securities rather than ordinary direct-share ownership.
My bottom line: AI demand looks real. The next phase is about separating companies turning AI spending into durable earnings from companies simply benefiting from the narrative.
Are you bullish, selective, bearish, or waiting for a dip? 👇
#NVIDIA #NVDAB #AMD #aistockswhatnext