AI’s growth is ‘different from dotcom,’ says venture capitalist

AI adoption is moving lightning fast

Businesses and consumers are diving into AI at a speed that’s unlike anything we’ve seen before. Unlike the dotcom boom, which took years to gain real traction, today’s AI tools are being adopted immediately. From healthcare providers in India to Fortune 500 companies in the U.S., leaders are investing in AI without hesitation.

This fast adoption isn’t just hype. Companies are already seeing measurable benefits and generating revenue from AI applications. The willingness to implement AI now, rather than wait, is a key difference from previous tech waves.

Real revenues set AI apart

One of the major reasons experts say AI is different from the dotcom era is the presence of actual revenue. OpenAI reported an annualized revenue run rate of about 10 billion dollars as of June 2025.

Swedish startup Lovable said it passed 100 million dollars in annual recurring revenue eight months after its early traction. During the dotcom bubble, many internet startups collapsed without ever generating significant revenue.

Today, the financial foundations of AI companies are more concrete, giving investors greater confidence that growth is driven by real demand. This difference is crucial for understanding why AI is not just another tech fad.

Consumers are embracing AI quickly

AI isn’t just a business tool; consumers are adopting it fast. Search behaviors and online habits are changing at a breakneck pace. Users are experimenting with AI applications for productivity, creativity, and daily tasks. This rapid adoption demonstrates that AI is affecting people’s lives in real ways, unlike the slow uptake of dotcom services during the late 1990s.

The speed of consumer adoption reinforces the market’s confidence. Companies launching AI products can see traction almost immediately, which encourages further investment and innovation.

VC founder says AI is different

Magnus Grimeland, founder of Antler, told CNBC that AI looks different from the dotcom era because many companies already have measurable revenue and adoption today. This rapid adoption and financial grounding distinguish AI from the speculative tech spikes of the past.

Grimeland also highlights that AI is top of the agenda for leaders across the globe, from emerging markets to large corporations. The speed and scale at which AI is embraced, combined with tangible returns, are the main reasons experts believe this isn’t a bubble but a transformative moment for technology.

Big firms face new challenges

Even major AI players like Tencent, Baidu, and Alphabet are seeing competition from smaller startups. Chinese startup DeepSeek has released models that some benchmarks and researchers say rival leading Western models, and its rapid rise underscores global competition and debate about model development.

The landscape creates opportunities for startups to capture market share quickly. Investors are looking at strong founding teams, growth in customer value, and cost-effective product delivery as signals of potential success.

These smaller companies can rise rapidly, challenging the assumption that only large corporations will lead the next wave of AI-driven innovation.

Investors see immediate potential

Industry trackers report AI first companies raised about 110 billion dollars in 2024, up roughly 62 percent year on year, illustrating the rapid pace of investor funding. This immediate willingness to fund innovation highlights the confidence in AI’s potential for long-term returns.

While some valuations may appear high, this is typical at the start of a new technology cycle. The key difference is that underlying revenue streams and market adoption are strong.

This balance makes AI a fundamentally different investment opportunity compared to the late 1990s dotcom era.

Rapid adoption beats cloud shift

The AI adoption curve is faster than previous technology shifts, including the move to cloud computing, which took years to unfold. Companies are implementing AI solutions almost immediately, demonstrating a level of urgency and interest not seen in earlier tech waves.

This accelerated pace shows how central AI has become to business strategy. Companies see it not as an experimental tool but as a core driver for efficiency and innovation.

The speed of adoption reinforces the idea that AI growth is structural, not speculative, distinguishing it sharply from past tech bubbles.

Smaller startups can rise quickly

Smaller AI startups are emerging as serious players, able to scale faster than companies during the dotcom boom. With innovative technology and strong leadership, these firms can quickly build traction and compete globally. This creates a more dynamic, opportunity-rich environment for investors and entrepreneurs alike.

The presence of rapid adopters and accessible funding means nimble startups can gain market share before large incumbents react. This dynamic reinforces the idea that AI’s growth cycle is fundamentally different from previous tech bubbles, combining speed, revenue, and global reach in unprecedented ways.

Some valuations still too high

Despite the solid revenue and adoption trends, some AI companies are seeing valuations that may exceed realistic expectations. This is normal at the start of a technology cycle and doesn’t indicate a bubble, according to experts. Investors remain focused on long-term growth potential rather than short-term hype.

Careful analysis of companies’ revenue, customer value, and team strength helps separate promising startups from speculative bets. Unlike the dotcom era, where many firms had no revenue, today’s AI market is grounded in tangible performance metrics, making it easier for investors to make informed decisions.

AI impacts global business now

AI’s influence is being felt worldwide, from small startups to multinational corporations. Companies are using AI for efficiency, customer engagement, and product innovation. The adoption is rapid, and the technology is becoming central to strategic decision-making across industries.

This global impact shows that AI is not a local or niche trend—it’s a major technological shift. Leaders are making strategic bets on AI now, which will likely define the competitive landscape for years to come. The speed and scale of adoption mark a clear departure from the dotcom era.

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AI is here to stay

AI growth is moving faster and with more real-world impact than previous tech waves. Businesses and consumers are embracing the technology quickly, generating actual revenue and creating new market leaders. The difference from the dotcom era is clear: AI is backed by measurable value, not just speculation.

Smaller startups have opportunities to rise alongside established giants, and investors are ready to fund meaningful growth. AI is shaping global business strategy today, proving it’s more than a trend—it’s a structural shift. The opportunity is immense, and this time, the story is real.

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What do you think about AI’s growth being different from the dotcom? Share your thoughts.

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This slideshow was made with AI assistance and human editing.