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AIenterprise aiAI in Finance and Banking

VCs grow wary of AI-washing, real innovation wins investors

DA
Daniel Reed
2 hours ago7 min read
The venture capital landscape, once seemingly intoxicated by the mere whisper of artificial intelligence in a pitch deck, is undergoing a sobering and necessary correction. After a surge that saw VC investment hit a 10-quarter high of €108.3 billion in the first quarter of 2025—with AI alone accounting for a staggering €44. 6 billion—a new discernment is taking root among investors.For a time, the AI gold rush resembled a speculative frenzy where the label 'AI' acted as a magical incantation, capable of conjuring unicorn valuations from even the most tenuous of concepts. Implementation, utility, and genuine technological innovation were often secondary to the compelling, yet hollow, narrative of being an 'AI company.' This phenomenon, aptly termed 'AI-washing,' saw startups retrofitting existing software with a superficial layer of machine learning or making grandiose claims about their capabilities, all to ride the wave of investor FOMO (Fear Of Missing Out). The parallel to the early days of the dot-com bubble is striking, where adding '.com' to a company name was enough to attract capital, regardless of the underlying business model's viability. However, the market is a relentless teacher.As the initial hype subsides, a more sophisticated understanding of AI's architectural complexities and practical applications is emerging. Investors are now peeling back the layers, moving beyond the buzzwords to scrutinize the actual algorithms, the quality and provenance of training data, the robustness of the underlying infrastructure, and, most importantly, the tangible problem the technology solves.This shift is not a retreat from AI but a maturation, a move from speculative betting to strategic investment in foundational technology. The CEO of Gradient Labs, among other thought leaders in the space, has highlighted this pivot towards substance, where real innovation—be it in novel neural network architectures, more efficient model training techniques, or groundbreaking applications in fields like drug discovery or materials science—is what ultimately wins conviction and capital. This evolution promises to separate the signal from the noise, ensuring that the next generation of AI giants will be built not on marketing gloss but on genuine, defensible technological advancement that can deliver long-term value and withstand the rigors of a competitive global market.
#venture capital
#AI-washing
#startup funding
#investment trends
#innovation
#featured

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