The post Legacy brands hold the key to web3’s next adoption wave appeared on BitcoinEthereumNews.com. Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial. Web3 has had its booms. DeFi summer pulled billions into new protocols. NFTs turned avatars and collectibles into cultural phenomena. Millions opened wallets, experimented with dapps, and speculated on a future built on-chain. But after those surges, adoption slowed. Exchange collapses, speculative excess, and unclear regulation pushed many retail users away. Institutions have continued to build — ETFs, custody solutions, corporate treasuries — but the average consumer hasn’t come back in force.  Summary Speculation brought early adopters, but mass adoption requires cultural relevance — products must connect to people’s passions like music, fashion, and community. Legacy brands (Adidas, Gucci, Breitling, Nike, etc.) are uniquely positioned to bridge the gap, using their trust and cultural capital to make web3 feel safe and meaningful. Tokens unlock ownership and utility beyond loyalty programs — granting access to events, merchandise, and fan communities, with authenticity and portability guaranteed by blockchain. The next wave of adoption will be driven by here culture meets technology: trusted brands turning digital assets into experiences people actually want. The missing piece is cultural relevance. Most projects still don’t give everyday people a reason to care. Until there are products that connect directly with people’s passions, web3 will remain a niche technology for insiders rather than a mainstream system for billions. Speculation isn’t enough Speculation excites early adopters and those in the know, but long-term adoption requires something deeper: cultural connection. The average person won’t gamble, but will engage when digital assets tie into the entertainment, community, and culture they already value. Startups often pitch jargon that doesn’t translate well to daily life: “a decentralized future,” or “programmable money.” Without cultural hooks, these platitudes mean nothing. It… The post Legacy brands hold the key to web3’s next adoption wave appeared on BitcoinEthereumNews.com. Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial. Web3 has had its booms. DeFi summer pulled billions into new protocols. NFTs turned avatars and collectibles into cultural phenomena. Millions opened wallets, experimented with dapps, and speculated on a future built on-chain. But after those surges, adoption slowed. Exchange collapses, speculative excess, and unclear regulation pushed many retail users away. Institutions have continued to build — ETFs, custody solutions, corporate treasuries — but the average consumer hasn’t come back in force.  Summary Speculation brought early adopters, but mass adoption requires cultural relevance — products must connect to people’s passions like music, fashion, and community. Legacy brands (Adidas, Gucci, Breitling, Nike, etc.) are uniquely positioned to bridge the gap, using their trust and cultural capital to make web3 feel safe and meaningful. Tokens unlock ownership and utility beyond loyalty programs — granting access to events, merchandise, and fan communities, with authenticity and portability guaranteed by blockchain. The next wave of adoption will be driven by here culture meets technology: trusted brands turning digital assets into experiences people actually want. The missing piece is cultural relevance. Most projects still don’t give everyday people a reason to care. Until there are products that connect directly with people’s passions, web3 will remain a niche technology for insiders rather than a mainstream system for billions. Speculation isn’t enough Speculation excites early adopters and those in the know, but long-term adoption requires something deeper: cultural connection. The average person won’t gamble, but will engage when digital assets tie into the entertainment, community, and culture they already value. Startups often pitch jargon that doesn’t translate well to daily life: “a decentralized future,” or “programmable money.” Without cultural hooks, these platitudes mean nothing. It…

Legacy brands hold the key to web3’s next adoption wave

6 min read

Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial.

Web3 has had its booms. DeFi summer pulled billions into new protocols. NFTs turned avatars and collectibles into cultural phenomena. Millions opened wallets, experimented with dapps, and speculated on a future built on-chain. But after those surges, adoption slowed. Exchange collapses, speculative excess, and unclear regulation pushed many retail users away. Institutions have continued to build — ETFs, custody solutions, corporate treasuries — but the average consumer hasn’t come back in force. 

Summary

  • Speculation brought early adopters, but mass adoption requires cultural relevance — products must connect to people’s passions like music, fashion, and community.
  • Legacy brands (Adidas, Gucci, Breitling, Nike, etc.) are uniquely positioned to bridge the gap, using their trust and cultural capital to make web3 feel safe and meaningful.
  • Tokens unlock ownership and utility beyond loyalty programs — granting access to events, merchandise, and fan communities, with authenticity and portability guaranteed by blockchain.
  • The next wave of adoption will be driven by here culture meets technology: trusted brands turning digital assets into experiences people actually want.

The missing piece is cultural relevance. Most projects still don’t give everyday people a reason to care. Until there are products that connect directly with people’s passions, web3 will remain a niche technology for insiders rather than a mainstream system for billions.

Speculation isn’t enough

Speculation excites early adopters and those in the know, but long-term adoption requires something deeper: cultural connection. The average person won’t gamble, but will engage when digital assets tie into the entertainment, community, and culture they already value. Startups often pitch jargon that doesn’t translate well to daily life: “a decentralized future,” or “programmable money.” Without cultural hooks, these platitudes mean nothing. It is not enough to argue that blockchain is faster or more transparent. Consumers must feel a direct benefit in their lives, whether that means easier access to concerts, verifiable ownership of collectibles, or exclusive interaction with communities they admire.

This pattern isn’t new. Every technological wave needed established players to normalize it for the public. The internet became mainstream when companies like AOL and Yahoo packaged it into accessible products. Streaming shifted from niche to default once media giants brought their catalogs online. 

The same dynamic will apply to web3 — with legacy brands perfectly positioned to bridge the gap.

Why legacy brands matter

Legacy brands hold what newcomers lack: decades of cultural capital, pre-built reputations, and communities that span generations. Examples are already aplenty in web3. Adidas partnered with web3-native projects like Bored Ape Yacht Club and Gmoney to release tokenized wearables and experiences. Gucci accepted payments through crypto wallets and released blockchain-based collaborations that gave collectors digital and physical crossover value. Breitling issued blockchain-backed digital passports for its watches, letting buyers verify provenance. 

Each case shows how quickly mainstream audiences engage when the digital asset has a clear real-world meaning. These initiatives highlight a key principle: people do not need to understand blockchains to participate in them. They only need to recognize that a trusted brand is offering something valuable, scarce, and secure.

Equally important is that legacy brands carry trust. After years of exchange collapses and rug pulls, many consumers hesitate to touch web3 products. A Nike or Disney experiment reassures people in a way a startup cannot, because reputations built over decades are at stake. For hesitant newcomers, a brand they already know lowers perceived risk and makes engaging with digital ownership feel safe rather than speculative. Trust, as much as culture, is a prerequisite for broad participation.

Ownership and utility beyond loyalty

Web3 add-ons are new forms of ownership and access for these cultural heavyweights. A tokenized membership can function as an all-access pass to a fan ecosystem: granting concert entry, unlocking merchandise, or connecting collectors in private communities. Unlike traditional loyalty programs, these assets are transferable, provable, and portable across platforms. Ownership becomes something users can hold, trade, or build upon.

The next adoption wave will be driven by tokens as gateways to experiences. Event access, merchandise, gamified rewards, and fan memberships are areas where cultural brands can lead.  Instead of asking “what’s this token worth tomorrow?” the question becomes “what does it let me do today?” For brands, it builds loyalty, fosters two-way engagement, and turns consumers into participants. Blockchain ensures scarcity and authenticity in ways that feel intuitive: if you own the token, you own the experience, and no one can fake it.

A cultural bridge to the future

This cultural pivot is happening alongside institutional progress. Regulators in Europe, the Middle East, and the U.S. are clarifying the rules of the road. Global financial firms are rolling out custody, tokenization platforms, and on-chain settlement rails. Together, these moves build trust and infrastructure — but they don’t automatically bring in people. Without cultural resonance, web3 risks becoming a system designed for traders and institutions, not the public.

Legacy brands will bridge the gap, with the opportunity to introduce blockchain to millions who would never read a white paper but will eagerly claim a token if it connects to a favorite brand, community, or cultural experience. Web3’s future won’t be defined by startups or institutions. It will be shaped at the intersection of culture and technology. Legacy brands sit squarely at that intersection. They carry credibility with mainstream audiences and can translate blockchain utility into experiences that matter. If they step into web3 with clear utility and authentic experiences, they will drive the next adoption wave.

If speculation defined the first wave and institutions are building the rails for the second, legacy brands will define the third — where culture meets utility, and web3 finally goes mainstream.

Evan Kuhn

Evan Kuhn is the President of DeLorean Labs, the web3 innovation arm of the legendary DeLorean brand. A seasoned entrepreneur, he previously co-founded Coinberry, a Canadian crypto trading platform acquired by WonderFi for $38 million, cementing his reputation in the digital asset space. At DeLorean Labs, Evan leads groundbreaking projects like the $DMC token and a cutting-edge vehicle reservation and analytics system built on Sui. He’s also forged key partnerships with Animoca Brands’ Motorverse and Mysten Labs, driving the future of mobility at the crossroads of blockchain and automotive heritage.

Source: https://crypto.news/legacy-brands-hold-the-key-to-web3s-next-adoption-wave/

Market Opportunity
Notcoin Logo
Notcoin Price(NOT)
$0.0003869
$0.0003869$0.0003869
-6.16%
USD
Notcoin (NOT) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Top NYC Book Publishing Companies

Top NYC Book Publishing Companies

New York City has been the epicenter of American publishing for generations, but “NYC publishing” isn’t just one lane. Today’s landscape includes two very different
Share
Techbullion2026/02/06 14:02
Sensorion Announces its Participation in the Association for Research in Otolaryngology ARO 49th Annual Midwinter Meeting

Sensorion Announces its Participation in the Association for Research in Otolaryngology ARO 49th Annual Midwinter Meeting

MONTPELLIER, France–(BUSINESS WIRE)–Regulatory News: Sensorion (FR0012596468 – ALSEN) a pioneering clinical-stage biotechnology company which specializes in the
Share
AI Journal2026/02/06 14:45
AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media

AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media

AI crypto trading is everywhere, and every YouTube guru claims their bot mints money while they sleep. Sounds dreamy, right? However, most don’t discuss the full story, the wild profits possible, and the lurking pitfalls. As someone obsessed with the intersection of artificial intelligence and digital assets, let me pull back the curtain on the realities of algorithmic trading in the crypto jungle. Here’s what nobody tells you: 87% of retail traders using automated systems lose money within their first year. The marketing materials show cherry-picked results. The testimonials come from paid affiliates. But here’s the twist. The remaining 13% who succeed aren’t just lucky. They understand something the majority misses entirely. The Reality Behind the Hype The crypto world loves success stories. You’ve probably seen them. “I made $50,000 in three months using this bot.” What they don’t mention? The $200,000 they lost by testing seventeen other systems first. Real talk: most trading algorithms fail because they’re built for perfect market conditions. Crypto markets are anything but perfect. Think about it like this. Would you trust a Formula 1 car to handle rush hour traffic? That’s essentially what most people do with their trading bots. Why Smart Money Uses Crypto AI Tools Differently Professional traders approach crypto AI tools with surgical precision. They don’t expect miracles. They expect consistent, measured results. The difference lies in understanding what these tools actually do well: • Risk management automation • Pattern recognition at scale • Emotional bias elimination • 24/7 market monitoring • Portfolio rebalancing Notice what’s missing from that list? Get-rich-quick schemes. The smartest crypto AI tools focus on protecting capital first. Profits come second. This mindset separates winners from losers. Here’s something interesting. 9-figure media companies track these patterns religiously. They know which crypto AI tools produce sustainable results versus flashy short-term gains. Professional traders using crypto AI tools typically target 15–25% annual returns. Not 500% monthly moonshots. The Startup Connection Most People Ignore AI for startups isn’t just about building the next ChatGPT. Many successful companies use AI to optimize their crypto treasury management. Smart startups integrate crypto AI tools into their financial operations early. They automate routine decisions. They reduce human error. They scale their trading operations without hiring armies of analysts. But here’s where it gets interesting. The best AI for startup applications in crypto aren’t the obvious ones. Consider automated tax reporting. Or real-time compliance monitoring. Or treasury optimization across multiple blockchains. These unsexy applications generate more consistent profits than flashy trading algorithms. AI for startups in the crypto space succeeds when it solves boring problems efficiently. Not when it promises unrealistic returns. The most successful AI for startups implementations focus on operational efficiency. They reduce costs. They minimize risks. They free up human resources for strategic decisions. Learning from Top AI Start-Ups Top AI start-ups in the crypto space share common characteristics. They prioritize transparency over marketing hype. Look at successful top AI start-ups like Chainalysis or Elliptic. They don’t promise easy money. They provide essential infrastructure. The best top AI start-ups focus on solving real problems: • Market data analysis • Security monitoring • Regulatory compliance • Portfolio analytics • Risk assessment These top AI start-ups understand something crucial. Sustainable businesses solve actual problems. They don’t just ride hype cycles. 9-figure media outlets consistently highlight these fundamental companies. They ignore the noise. They focus on substance. Many top AI start-ups actually discourage retail trading. They know the odds. They’ve seen the casualties. Instead, successful top AI start-ups build tools for institutions. Banks. Hedge funds. Companies with proper risk management systems. The Hidden Costs Nobody Discusses Using crypto AI tools costs more than subscription fees. Much more. First, there’s the learning curve. Most people spend months figuring out proper settings. During this time, they’re paying tuition to the market. Second, there’s infrastructure. Reliable crypto AI tools require stable internet, backup systems, and proper security measures. Third, there’s opportunity cost. Time spent tweaking algorithms could be spent learning fundamental analysis. The real cost? Most people using crypto AI tools trade more frequently. Increased trading usually means increased losses. Think about 9-figure media companies again. They understand that technology amplifies existing skills. It doesn’t replace them. Smart Implementation Strategies Successful crypto AI tools users follow specific patterns: • Start with paper trading • Use position sizing rules • Set strict stop losses • Monitor performance weekly • Adjust strategies quarterly They treat crypto AI tools like any other business tool. With respect. With caution. With realistic expectations, startup applications work similarly. They augment human decision-making. They don’t replace it. The most successful AI for startups implementations in crypto involve human oversight at every level. Algorithms suggest. Humans decide. What Actually Works Here’s what separates successful crypto AI tools users from everyone else: They focus on consistency over home runs. They understand that small, regular gains compound better than occasional big wins followed by devastating losses. They apply AI principles to their approach for startups. They iterate quickly. They fail fast. They learn constantly. They study top AI start-ups for inspiration. But they don’t try to replicate their exact strategies. Most importantly, they never risk money they can’t afford to lose. The crypto market will humble anyone. AI doesn’t change this fundamental truth. Your success with crypto AI tools depends more on your discipline than the sophistication of your algorithms. Remember: the house always has an edge. Your job is to find where that edge doesn’t apply. That’s the secret they won’t tell you. AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story
Share
Medium2025/09/18 23:20