the current rally in tech / AI-relate ...
1. The emotional cycle of markets Markets are not rational but a function of expectations and sentiment: when optimism is high, narratives of the type "AI will change everything" or "rates will fall soon" justify high prices; when fear dominates, even good news cannot stop selling. Today, FOMO and fRead more
1. The emotional cycle of markets
Markets are not rational but a function of expectations and sentiment: when optimism is high, narratives of the type “AI will change everything” or “rates will fall soon” justify high prices; when fear dominates, even good news cannot stop selling.
Today, FOMO and fear of overvaluation continue to balance precariously in investor sentiment. Any major shock-a geopolitical event, an inflation surprise, an earnings disappointment–is likely to send the sentiment scale quickly tipping toward fear.
2. Valuations are stretched in many regions
- Price-to-earnings ratios in the U.S. and parts of Asia, including India’s midcap segment, are well above their historical averages; so are market-cap-to-GDP ratios.
- This does not mean that a crash is inevitable, but it does reduce the margin of safety.
- When valuations are high, even minor slowdowns in earnings growth or small increases in interest rates can lead to sharp corrections.
️ 3. Mixed macro conditions
- Inflation: Despite easing, it is still above central banks’ comfort zones.
- Interest Rates: Central banks are cautious in that they do not aggressively cut rates, nor do they tighten them further.
- Liquidity: Global liquidity is now thinning, with increased government borrowing and reduced fiscal buffers.
- Energy prices and geopolitics: Unpredictable energy markets, influenced by wars, sanctions, or disruptions to supply chains, put additional stress.
In other words, no imminent sign of collapse, but the ground isn’t exactly solid either.
4. Corporate earnings and productivity trends
- Corporate earnings, particularly in technology, energy, and healthcare, have held up well. In many of the traditional sectors-manufacturing, retail, and real estate-earnings growth is slowing.
- If companies start missing profit targets-more so in overpriced sectors-there may well follow a ripple effect of selling.
- Still, the productivity gains from AI and digital transformation provide some resilience-a key factor for why markets haven’t broken down yet.
5. Greater global interconnection = faster contagion
- Today’s markets are hyper-connected. A correction in one region easily spills over to others via ETFs, algorithmic trades, and derivatives.
- For instance, an unexpected sell-off of American technology could soon sweep through Asia and Europe in mere hours.
- Connectedness now makes crashes faster and sharper, recoveries quicker, too, as liquidity floods back in once panic subsides.
6. What this means for individual investors
- Corrections are normal: Historically, markets correct 10–15% every 12–18 months. These resets are a part of a healthy market cycle.
- Crash risk increases when speculation dominates over fundamentals: If you see the stocks rise, only on hype-meme stocks, or AI rallies without earnings, that is often a late-stage sign.
- Smart positioning is what matters: Diversify across sectors and regions. Keep some liquidity ready for dips. When volatility increases, avoid leverage.
7. The human truth
The stock market reflects collective human emotion: optimism, greed, fear, hope. For the time being, it’s tightrope-balancing between optimism about new technologies and fear of economic slowdown.
A full-blown “crash” does usually require a triggering event-something like a credit crisis or geopolitical escalation-which, quite frankly, we just don’t see very clearly yet, but a 10-20% correction wouldn’t be all that surprising given how fast valuations have climbed.
In short, the market is not going to implode tomorrow, but assuredly it is overextended and emotionally fragile. The best armor against the inevitable swings ahead is being informed, rational, and diversified.
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Is the Tech/AI Rally Sustainable or Are We in a Bubble? Tech and AI-related stocks have surged over the last few years at an almost unreal pace. Companies into chips, cloud AI infrastructure, automation tools, robotics, and generative AI platforms have seen their stock prices skyrocket. Investors,Read more
Is the Tech/AI Rally Sustainable or Are We in a Bubble?
Tech and AI-related stocks have surged over the last few years at an almost unreal pace. Companies into chips, cloud AI infrastructure, automation tools, robotics, and generative AI platforms have seen their stock prices skyrocket. Investors, institutions, and startups, not to mention governments, are pouring money into AI innovation and infrastructure.
But the big question everywhere from small investors to global macro analysts is:
“Is this growth backed by real fundamentals… or is it another dot-com moment waiting to burst?”
There are powerful forces supporting long-term growth this isn’t all hype.
1. There is Real, Measurable Demand
But the technology companies aren’t just selling dreams, they’re selling infrastructure.
This is not speculative usage; it’s enterprise spending, which is durable.
2. The Tech Giants Are Showing Real Revenue Growth
Unlike the dot-com bubble, today’s leaders (Nvidia, Microsoft, Amazon, Google, Meta, Tesla in robotics/AI, etc.) have:
In fact, these companies are earning money from AI.
3. AI is becoming a general-purpose technology
Like electricity, the Internet, or smartphones changed everything, AI is now becoming a foundational layer of:
When a technology pervades every sector, its financial impact is naturally going to diffuse over decades, not years.
4. Infrastructure investment is huge
Chip makers, data-center operators, and cloud providers are investing billions to meet demand:
This is not short-term speculation; it is multi-year capital investment, which usually drives sustainable growth.
But… There Are Also Signs of Bubble-Like Behavior
Even with substance, there are also some worrying signals.
1. Valuations Are Becoming Extremely High
Some AI companies are trading at:
But they increase risk when growth slows.
2. Everyone is “Chasing the AI Train”
When hype reaches retail traders, boards, startups, and governments at the same time, prices can rise more quickly than actual earnings.
Examples of bubble-like sentiment:
This emotional buying can inflate the prices beyond realistic levels.
3. AI Costs Are Rising Faster Than AI Profits
Building AI models is expensive:
Some companies do not manage to convert AI spending into meaningful profits, thus leading to future corrections.
4. Concentration Risk Is Real
A handful of companies are driving the majority of gains: Nvidia, Microsoft, Amazon, Google, and Meta.
This means:
If even one giant disappoints in earnings, the whole AI sector could correct sharply.
We saw something similar in the dot-com era where leaders pulled the market both up and down.
We’re not in a pure bubble, but parts of the market are overheating.
The reality is:
Long-term sustainability is supported because the technology itself is real, transformative, and valuable.
But:
The short-term prices could be ahead of the fundamentals.
That creates pockets of overvaluation. Not the entire sector, but some of these AI, chip, cloud, and robotics stocks are trading on hype.
In other words,
What Could Trigger a Correction?
A sudden drop in AI stocks could be witnessed with:
Corrections are normal – they “cool the system” and remove speculative excess.
Long-Term Outlook (5–10 Years)
But expect volatility along the way.
Human-Friendly Conclusion
Think of the AI rally being akin to a speeding train.
The engine-real AI adoption, corporate spending, global innovation-is strong. But some of the coaches are shaky and may get disconnected. The track is solid, but not quite straight-the economic fundamentals are sound. So: We are not in a pure bubble… But we are in a phase where, in some areas, excitement is running faster than revenue.
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