Cicada Capital

The global financial landscape is currently undergoing its most significant transformation in decades. As we move through 2026, the traditional dominance of fiat based reserves is being challenged by a structural shift toward hard assets.
This report provides a deep dive analysis into the 2024–2026 supercycle in Gold and Silver, examining the convergence of geopolitical tension, fiscal instability, and a fundamental realignment of global liquidity.
By synthesising macroeconomic data with shifting sovereign risk perceptions, we outline why precious metals have transitioned from simple hedges into the primary engines of modern portfolio diversification.
Executive View: The Structural Foundation
Gold remains structurally supported by three distinct and powerful forces that define the current market regime:
Investment liquidity from global financial centers.Asian physical demand combined with the strategic activities of central banks.The diversification of global reserves away from concentrated USD exposure.
It is a vital premise for this analysis that the recent market correction was entirely liquidity driven and not a result of a collapse in structural demand. Gold has formally entered a structural supercycle, driven primarily by sovereign states.
For portfolio managers and private investors alike, gold remains one of the most effective and essential diversification tools in the modern financial era.
Liquidity Structure and the Geography of Global Flows
Price acceleration phases in the current environment are primarily driven by Western financial capital. This includes United States and European exchange traded funds, COMEX positioning, and over the counter flows cleared via London.
The year 2025 delivered one of the strongest accumulation cycles in exchange traded funds on record, with 801T added globally. This data confirms that macro allocation, rather than traditional jewelry demand, has become the dominant price driver.
When real yields decline or the USD weakens, these flows act as a powerful multiplier for the upside.
Conversely, Asian demand operates under a different logic. Markets in China, India, and the Middle East absorb pullbacks via the purchase of bars, coins, and local exchange traded funds. In India, there has been a significant shift from jewelry toward investment formats, even at elevated price levels.
Meanwhile, central bank purchases remain at historically high levels, reflecting a broad diversification from USD assets and an increased awareness of sanctions risks. Together, these factors create a permanent structural floor under the market.
Geographical Flow Centers
The global infrastructure of the gold market is divided into specific hubs:
London LBMA: Functions as the primary clearing and over the counter hub.New York COMEX: The primary engine for leveraged positioning.Shanghai, Hong Kong, and Dubai: These cities represent the global centers for physical absorption.
Analysis of market volatility shows that spikes typically originate from Western positioning resets, not from Asian liquidation. It is specifically the demand from Asia and the official sector, meaning central banks, that stabilises the market during corrections.
The Dynamics of Market Corrections
When corrections occur, the pressure generally originates from redemptions in exchange traded funds, leveraged futures liquidation on the COMEX, and an increase in recycling supply triggered by higher prices. It must be emphasised that these corrections are predominantly driven by financial flows rather than a collapse in physical demand.
Geopolitical Premium and the Weak USD Path
Since the pivotal events of 2022, central bank accumulation has remained elevated, and the share of gold in global reserves has seen a consistent increase.
The freeze of $300B in Russian reserves shifted the global perception of sovereign risk, embedding a structural geopolitical premium into gold pricing. This component is regime driven and structural, not cyclical.
The Weak USD Policy Scenario
Under the current administration path, if policy tilts toward competitive USD weakening and expanded trade measures to support domestic industry, the transmission mechanism for gold becomes clear:
USD Down: Supports gold mechanically.Increased Trade Tensions: Increases the risk premium.Real Yields Under Pressure: Accelerates allocation flows into precious metals.
Confirmation signals for this scenario include a sustained downtrend in the DXY, declining 10 year real yields, renewed inflows into exchange traded funds, and an escalation in trade policy.
Under these conditions, gold could transition from its current steady uptrend into a phase of allocation driven acceleration.
The 2024–2026 Gold Rally: Four Reinforcing Pillars
Since the start of 2024, gold has jumped +155% from its $2,050 base, reaching an all-time high of $5,608 in January 2026. In 2025 alone, the asset grew by 67%, marking the strongest annual performance in 47 years, a feat not seen since 1979. This acceleration has pushed gold into a state of price discovery, where technical resistance levels are practically absent.
Pillar 1: The Debasement Trade and Long-term Fiat Depreciation
The $300B freeze of Russian reserves in 2022 became the primary catalyst for a global re-evaluation of the safety of USD denominated assets. Central banks, particularly those within the BRICS+ alliance, began a systematic diversification into physical gold, which stands as the only asset without counterparty risk. According to the Central Bank Gold Reserves Survey, 81% of central banks expect further growth in gold reserves, and 28% plan to increase their holdings within the next 12 months.
Pillar 2: Real Rates and Monetary Conditions
With 10 year Treasuries yielding approximately 4.05% and core inflation at 2.7%, real rates are hovering around the 1.3–1.6% range. Historically, gold performs with exceptional strength when real rates remain below 2%. In a sustained environment of Quantitative Easing, gold serves as a critical hedge against hidden inflation.
Pillar 3: US Fiscal Crisis and the Debt Supercycle
Federal debt has now exceeded the $38.8T mark, and the budget deficit is running at over 6% of GDP, with $1.9T projected by the CBO for the 2026 fiscal year. Deep political polarisation prevents any serious attempt at fiscal consolidation. Investors increasingly understand that this debt will be eroded via inflation and nominal growth, which implies a fundamental, long term weakness for the USD.
Pillar 4: The Trump Factor and Geopolitical Turbulence
The current administration actively pursues a policy of USD weakening to bolster domestic exports. As a result, the DXY has lost 13% over the past year. Concurrent geopolitical tensions, ranging from issues involving Greenland and Venezuela to the broader Middle East, generate a continuous and robust demand for safe haven assets. Gold remains the traditional and ultimate safe haven in global financial markets.
Central Banks and Global Demand Structure
Central bank purchases remain the core engine of this rally. Following the record breaking 1,136t in 2022, the pace of accumulation stabilised at 1,044–1,051t annually. In the 2023–2024 period, this volume was 2.2x above the pre-crisis norm of 2010–2021, which averaged 473t per year.
2025 Statistics: Net known purchases reached 863t.Third Quarter 2025 Data: Central banks bought 220t, which is 10% more year over year, and a significant 28% increase quarter over quarter despite the record high price environment.Secondary Demand Drivers: The market saw record inflows into exchange traded funds of 801t and physical bar and coin demand reaching 1,374t.Total Volume: Total global demand in 2025 exceeded 5,000t, valued at approximately $555B, an increase of 45% year over year.
Silver 2024–2026: Fundamental Drivers and Market Volatility
Silver has experienced its own powerful growth cycle in recent years. In 2025, silver prices surged by approximately 147%, reaching record levels above $120/oz amidst supply deficits and macro economic drivers. By early 2026, silver continues to show strong growth, outpacing gold in annual percentage terms with a 30% increase year to date.
The market, however, remains highly volatile, with large swings and drops of over 30% in short periods being a notable feature of the 2026 landscape.
Key Fundamental Drivers for Silver
Structural Supply Deficit: Silver has been in a supply deficit for several consecutive years, with demand significantly exceeding available supply. The Silver Institute estimates that deficits may reach tens of millions of ounces in 2026. Producкtion growth is inherently limited to 1% or 2% per year, as most silver is produced as a byproduct of other metals like gold and copper, making rapid expansion nearly impossible.Industrial Demand Growth: Silver properties of conductivity and reflectivity make it essential for electronics, sensors, artificial intelligence data centers, solar panels, and the electric vehicle industry. The solar sector alone consumes hundreds of millions of ounces annually. Unlike gold, 50–60% of silver demand is industrial, adding a long term structural factor to its price.Macro and Safe Haven Demand: Like gold, silver is viewed as a hedge during trade wars, geopolitical tensions, and periods of rate cut expectations. For example, in February 2026, silver exchange traded funds and futures surged in direct response to rising trade and geopolitical risks.Demand Structure: Investment demand remains strong with inflows into silver exchange traded funds, particularly during market turbulence. Physical demand for coins and bars remains solid into 2026 despite the high price environment.
Tokenised Silver as the New Player
Representing physical silver in the form of real world assets tradable on blockchain exchanges, tokenised silver offers significant advantages:
Fractional ownership down to 1g or 1oz.24/7 trading with higher liquidity than physical silver.Usability in decentralised finance and smart contracts.
Scenarios, Outlook, and Monitoring 2026–2027
Gold Price Framework
Base Case with 65% Probability: Consolidation between $4,800 and $5,600 with a gradual move to new highs of $5,700 to $6,300 by late 2026. Central bank and institutional demand is expected to fully offset weakness in the jewelry segment.Bull Case with 25% Probability: A geopolitical shock or US recession could drive prices toward $6,300 to $7,500 by 2026–2027.Bear Case with 10% Probability: A stronger USD, combined with sharp Federal Reserve tightening and trade war de-escalation, could lead to a correction toward $4,300 to $4,800.
Short term period of 1 to 3 months expects volatility of ±10% with support at $4,700 to $4,800 and resistance at $5,300 to $5,500. The mid term period of 6 to 18 months outlook remains a confident uptrend with targets of $5,900 to $6,500 by the end of 2026 and $6,800 to $7,800 in 2027.
Silver Price Framework
Base Case with 60% to 70% Probability: Consolidation around current levels with a gradual move to new highs. Support is found at $70 to $90/oz, with resistance at $100 to $120.Bull Case with 20% to 30% Probability: Geopolitical stress or a sharp USD drop could push silver to $150 and above in 2026–2027.Bear Case with 10% Probability: Real rate hikes and risk on sentiment could lead to a pullback toward $45 to $60/oz.
Conclusion: Navigating the Supercycle
In conclusion, the data confirms that gold and silver are no longer just cyclical commodities but have become central to a regime driven monetary reset.
The combination of inelastic supply, particularly in the silver market, and an insatiable demand from the official sector creates a unique environment of allocation driven acceleration. While short term volatility is inevitable, the long term trajectory is underpinned by a historic debt supercycle and the irreversible diversification of global sovereign wealth.
For the discerning investor, the years 2024–2026 represent a generational opportunity to secure value in an era of long term fiat depreciation.
$XAU / $XAG

By Max Moris, CEO and co-founder of Cicada - a Dubai-based Market Making company with 6 years of personal experience, 1,000+ projects, and 500+ exchange listings. This is what most founders figure out too late.
• Watch on YouTube: https://youtu.be/5e9TmrhHFig
One project hit 4x on listing day. Ninety days later, the token was down 99%. The team lost everything. Not because of a bad product. Because of one wrong decision made at the wrong time.
This is the story of what market making actually is, why it matters, and what happens when founders get it wrong.
The Numbers Nobody Talks About
Before getting into what a market maker does, look at the data.
89% of tokens drop in price after listing on a CEX. Not some tokens. Nearly all of them.37% of projects hit their all-time high on listing day and never reach that level again.-52% is the average drawdown in the first 90 days after listing.
These aren't edge cases. They're the baseline. And every major exchange knows these numbers, which is exactly why the first question they ask when you apply for a listing is: "Who is your market maker?".
That question is a requirement.
Exchanges want their users to be able to trade your token properly. That means liquidity in the order book, tight spreads, and a price that doesn't swing 20% on a $500 order. The bigger the exchange, the more seriously they take this. They're not just evaluating your project, they're evaluating whether their users can safely and comfortably trade your asset.
So the question isn't whether you need a market maker. The question is when you start thinking about it. And the answer is: well before listing day.
What a Good Launch Looks Like and How to Destroy It
December 2024. A DeFi project comes to us preparing to list on six exchanges. The preparation was thorough: tokenomics review, listing strategy, allocation across exchanges, order book depth at multiple price levels, a plan for the first 90 days.
The listing goes perfectly. The token hits 4x in the first few days. Spreads are tight. Depth holds. Volume is organic. The founders are thrilled.
Then greed enters the picture.
Their marketing agency pushes for a massive increase in KOL and Twitter spending to keep the price moving. The advice from our side was clear: don't do it. Price doesn't grow because you spend three times more on influencers. Price grows from product, demand, and market structure.
They didn't listen.
Over the following weeks, the marketing budget burned through $1.2 million. The price started drifting down slowly. When the money ran out, the collapse came fast. Ninety days after a perfect listing: minus 99%.
Every dollar made on listing day was gone.
The lesson here isn't just "don't overspend on marketing". It's something more fundamental. A good market maker isn't a contractor who "runs bots on an exchange". They're a financial partner who looks at your token as an asset and has seen this play out hundreds of times before. Most founders think their situation is unique. It never is.
What a Market Maker Actually Does
A serious market maker maintains over 150 open orders on each exchange simultaneously. At Cicada, every client has 12 to 14 algorithms running at the same time. Each one has a specific role:
Spread management. If any token has a spread above 1%, that's a red flag. Algorithms keep the gap between buy and sell orders narrow at all times.Order book depth. Depth gets maintained at multiple price levels: 0.3%, 0.5%, 1%, 2%, 5%, 10%, 20%. Not just the shallow 2% range that shows up on CoinGecko, but much deeper.Cross-exchange arbitrage. Price gets balanced across exchanges constantly, preventing discrepancies that could be exploited.Anomaly detection. There's a phenomenon called a fat finger: when a trader mistypes an order size and dumps a massive market sell or buy into the order book by accident. This happens roughly 1 to 2 times per month per token.
A real example: one event on Binance, a token with a $35M market cap. Someone made an error. The price spiked. The algorithms reacted in fractions of a second, sold into the spike, bought back lower. The profit: $180,000 in 25 minutes.
That profit went entirely to the client, because we operate on the client's accounts. A slow market maker sees that spike in the logs ten minutes later. A good one turns it into revenue before most people notice anything happening.
When to Bring In a Market Maker
The simple answer: 3 to 4 months before listing at minimum. A good market maker doesn't just flip a switch on TGE day.
The preparation includes:
Tokenomics review and exchange selectionLiquidity distribution strategyCommunication with listing managersA structured plan for the first 90 days post-launch
That work can't be compressed into a week.If you approach a market maker a week before listing, you've already lost preparation time you can't get back. If you come a week after listing, you're not paying for preparation. You're paying for damage control.
Think of it this way. Your token is the patient. The listing is the surgery. The exchange is the operating room. The market maker is the surgeon. Nobody picks their hospital and doctor when they're already in the ambulance. The earlier you commit, the higher the chance everything goes smoothly.
In the last 12 months, over 10 projects switched to Cicada after failed launches with other providers. Every single one had originally chosen someone else. All of them understood the mistake too late. Fixing a broken market after the fact costs more in money, time, and reputation than doing it right from the start.
What Skipping It Actually Costs You
A market maker is not a checkbox item for the listing application.
A good one saves you hundreds of thousands of dollars in unnecessary spend, protects your token from structural collapse, and gives you a partner who has seen the exact failure modes you're heading toward before you can see them yourself.
A bad one, or no market maker at all, costs you the project.
If you're preparing a listing right now, start looking for a market maker right now. Not a week before TGE. Not after the first drawdown. Now.
—
You lead the project. We manage the market.

Featuring insights from TokenLockr team.
The InfoFi narrative reshaped how crypto Twitter thought about content creation. Between mid-2025 and early 2026, engagement metrics became a direct income source for influencers and for a brief period it looked like a structural shift in how attention gets monetized.
That period is now over in its original form. But dismissing InfoFi as simply dead misses the more interesting question: what does the attention economy look like once the speculative layer burns off?
How the Model Took Hold
The conceptual groundwork was laid in November 2024, when Vitalik Buterin outlined a financial mechanism for rewarding valuable information. He did not invent the idea from scratch, but gave it enough structure for the market to act on it.
Kaito, Cookie3 and Galxe moved quickly, each building systems that tokenized audience attention and rewarded content performance on-chain.
For projects: the appeal was immediate. Traditional influencer marketing required upfront payment for unverifiable outcomes. InfoFi flipped that logic: pay post-factum, reward measurable engagement and let the market sort out who actually drives attention.For creators: the barrier to monetization dropped significantly. Participation did not require an established audience or brand deals. A consistent posting cadence and project coverage were enough to generate yield.
The model attracted a wave of new participants to crypto content creation, which expanded the ecosystem but also introduced structural pressure from the start.
Why the Infrastructure Faced Challenges
The core tension in InfoFi was platform-dependent. Most services built their infrastructure directly on top of the X API without meaningful diversification.
When Nikita Bier, Head of Product at X, announced the disconnection of InfoFi projects from the API on January 15, the entire category collapsed within days.
$KAITO and $COOKIE tokens dropped 54% and 63% respectively. Galxe held up better precisely because it had less direct dependence on X infrastructure.
Beyond the platform risk, the content quality problem was real and visible. CT filled with low-signal posts, project announcement reposts and engagement-optimized content that delivered nothing analytically useful. By the time the API restrictions came, much of the audience had already disengaged from the format. The infrastructure shutdown accelerated a shift that audience fatigue had already started.
This pattern is not unique to InfoFi. Yield-driven participation in any content system eventually optimizes for the metric rather than the underlying value that metric was meant to measure.
Creator Perspective: Lessons the Industry Chose to Ignore
We spoke with Antons Rasa, Content Strategist at Cicada and experienced creator, who has been working in the crypto content space long enough to watch the InfoFi cycle play out from the inside. Their read on what went wrong is direct.
Q: Where did the first InfoFi platforms go wrong?
The core mistake was how rewards were calculated. Most platforms built their models around impressions and engagement metrics, which are among the easiest numbers to manipulate. Anyone willing to game the system could climb the leaderboards and capture the largest rewards. This created two problems simultaneously: unfair distribution for legitimate creators and poor results for the projects actually paying for promotion.
Q: What did that mean for creators on the ground?
There were genuinely strong creators who earned fair rewards. But many smaller contributors who produced real value got buried. When the ranking logic favors volume and engagement above everything else, the manipulators always win. Over time, this dynamic flooded the space with bots and accounts built specifically to abuse the system. The content quality collapsed and Twitter became a feed of identical spam. That is ultimately what triggered the platform-level response from X.
Q: What should have been done differently?
The platforms should have thought from the beginning about how to filter out bots, farms and inflated accounts. Tying rewards to real KPIs plus verifiable performance indicators would have changed the incentive structure entirely. Even basic solutions, like linking accounts to wallet activity or building in fake-follower checks, would have addressed a significant portion of the problem.
These are not impossible technical challenges. The issue is that most platforms were not trying to solve them. They were optimizing for mention volume with feed presence and many of the projects paying for that coverage were satisfied with the same shallow metrics.
What this perspective makes clear is that the collapse of InfoFi was not primarily a technical failure or a platform policy decision. It was the predictable outcome of an incentive structure that nobody with the power to change it had a reason to fix.
The manipulation was visible, the damage to content quality was visible and the response from X was not a surprise. The question for whatever comes next is whether the platforms building now are solving for verification from the start, or repeating the same shortcuts under a different name.
Where Attention Capital Moves Next
The next phase of the attention economy in crypto is moving away from raw engagement and toward verifiable, on-chain reputation. Several directions are taking shape.
Discord infrastructure is attracting platforms looking for distribution that is not subject to centralized API policy. The architecture is more fragmented, which creates its own challenges, but it removes single-point dependency on a platform that can change terms without notice.
More significantly, on-chain reputation systems are gaining traction as a longer-term alternative. In an environment where AI-generated content and coordinated bot activity are increasingly difficult to detect, transparent and verifiable identity signals carry more weight. Reputation built through consistent, targeted contribution to specific ecosystems is harder to farm and more durable than engagement volume.
The shift is also visible at the individual creator level. Influencers who built value through project coverage, genuine collaborations and analytical output weathered the transition better than those whose income depended entirely on engagement farming. Targeted activity compounds over time. Volume-based farming does not.
InfoFi in its 2025 form was a proof of concept with execution flaws. The underlying premise, that attention has measurable economic value and should be compensated accordingly, remains relevant. The infrastructure to act on that premise is being rebuilt on more defensible foundations.
TokenLockr and the New Attention Infrastructure
Among the projects rebuilding the attention economy on more defensible foundations, TokenLockr represents one of the cleaner attempts to address what the first wave of InfoFi got structurally wrong.
The platform connects creators and projects through smart contract-backed campaigns, where payment is tied not to engagement volume but to verifiable performance against predefined KPIs.
In the original InfoFi model, a creator's income correlated with how much noise they could generate. On TokenLockr projects deposit tokens into a smart contract upfront, define campaign conditions and creators earn based on whether those conditions are actually met.
The guaranteed portion of the reward is released upon task completion. The bonus portion unlocks only if the project hits its token price targets and sustains them. If the KPI is not met, the bonus is not paid. There is no ambiguity, no leaderboard politics, no platform discretion. The contract executes or it does not.
This architecture solves the trust problem that quietly undermined most of the early InfoFi platforms. Projects never had reliable assurance that the content they were paying for was moving any meaningful needle.
Creators had no guarantee that their work would be compensated fairly regardless of where they landed on a ranking system.
TokenLockr replaces both uncertainties with on-chain transparency: every vesting term is visible in the campaign dashboard, every payout condition is set in advance.
— How the Reward Structure Works
The vesting structure is where TokenLockr's design diverges most sharply from anything the first InfoFi cycle produced.
Projects have three tools available:
Token locking: assets are held in the smart contract until work is verified and approved, removing any possibility of non-payment after delivery.Linear vesting: rewards are distributed over time rather than released in a single payout, keeping creator engagement sustained throughout the campaign rather than concentrated at launch.Event-based unlocks: token release is tied to specific milestones such as price targets or volume thresholds, meaning bonus rewards only flow when the project demonstrably grows.
This structure aligns creator incentives with project longevity. A creator on platform has a financial reason to care whether the project they are covering is actually growing, which changes the nature of the relationship between content and outcome.
— Reputation as Infrastructure
The creator side of the platform is built around a reputation system called TokenLockr Score, which determines a creator's tier. The four tiers: Contributor, Creator, Pro, Legend, affect campaign access, reward size and selection priority.
Every creator is audited using AI and on-chain data before being admitted to campaigns. In an environment where AI-generated content is increasingly difficult to identify, verifiable on-chain credentials carry weight as a signal in a way that follower counts never did.
The public profile system reinforces this. Every creator has a transparent record showing their general rating, current tier, completed tasks, campaign participation history and achievements. Projects evaluate creators based on this record. The application process filters by account metrics, audience relevance and tier, meaning the quality bar is enforced at the point of entry.
For projects, the value is equally direct. Payment is conditional on results. KPI-based bonuses turn creators into long-term partners. The vesting and locking mechanics keep creator incentives aligned with project health over time, not just at the moment of a campaign launch.
— Verification Over Volume
The attention economy in crypto spent much of 2025 rewarding volume because volume was measurable, even when it generated nothing of analytical or community value. The model taking shape now treats attention as something that requires verification.
Reputation built through consistent, targeted contribution is harder to manufacture and more durable as a signal. TokenLockr is one of the clearer examples of that infrastructure being built in practice.
Founder's Perspective: What the First Wave Got Wrong
We asked Maxim Moris, founder of TokenLockr, to share his perspective on where the attention economy broke down. His perspective cuts through the noise of what actually went wrong and why it was unlikely to be fixed from within.
Q: How does the reward model actually work?
The guaranteed portion of the reward is paid out after task completion. The bonus portion unlocks only if the project reaches its token price targets and sustains them. But price is just the starting point. In practice, KPI conditions can be tied to anything measurable: new exchange listings, TVL growth in a DeFi protocol, on-chain activity thresholds. The framework is flexible by design, because different projects need to measure different things.
Q: What went wrong with the first wave?
The platforms that dominated 2025 created conditions that actively rewarded manipulation. KOL farms became common: groups of 10 to 15 influencers pooling their audiences, recycling each other's content and buying cheap impressions with no real value delivered to the project. The leaderboard structure made this almost inevitable, because the incentive was to game the ranking rather than produce anything meaningful.
The same leaderboard logic also shut out micro-influencers entirely. A creator with a smaller but highly engaged audience had no realistic path to meaningful rewards when competing directly against accounts with far greater raw reach. The problem is that 100 posts from micro-influencers often drive more genuine impact than a single post from a large account. The old model had no way to capture that.
Q: Why does quality become a structural necessity?
Unique and substantive content matters beyond the immediate engagement metrics. It contributes to GEO optimization, meaning that original analysis and genuine commentary build searchable, indexable presence over time. Identical retweets and recycled announcements produce nothing durable. The shift toward verified, quality-driven contribution is not just about fairness to creators. It is about building something that compounds.
What Maxim Moris is describing is a structural recalibration. The platforms that defined InfoFi in 2025 optimized for what was easy to count. TokenLockr is built around what is harder to fake: verified contribution, sustained performance and reputation that accumulates through real work. The infrastructure is different because the assumptions underneath it are different.
Conclusion
InfoFi was a first attempt at something structurally necessary: making attention in crypto measurable and compensable. The execution was flawed because the incentive design rewarded the wrong things, the infrastructure was built on a single point of failure and nobody with influence over the system had a strong reason to fix it before it collapsed.
What comes after is being built on different assumptions:
Verifiable results over raw volumeOn-chain reputation over engagement scoresKPI-driven compensation over leaderboards
The relationship between creators and projects is shifting from transactional to something closer to a long-term partnership, where both sides have a stake in the same outcome.
The attention economy in crypto is not going away. If anything, it becomes more important as the space matures and the competition for genuine mindshare intensifies. The question was always whether the infrastructure rewarding it was honest enough to last. That infrastructure is now being rebuilt.
Everyone deserves to be rewarded for the real value they create.