Woofun AI reports that Saga AI Labs has officially announced a strategic pivot toward AI consumer platforms and autonomous digital characters, simultaneously transferring operational rights of the Saga blockchain network to Alapin Holdings under dao5. This decisive shift marks the end of the project's original Layer 1 ambitions, as the team abandons its infrastructure roots to chase the artificial intelligence sector.

The timing of this transformation highlights a stark contrast between current market reality and historical valuations. The SAGA token now trades at $0.01373, representing a 99.8% decline from its all-time high. Two years prior, the project debuted with the highest halo of Binance Launchpool, attracting over $13 billion in staking before launch and setting a historical record for the platform. On its first day of trading, the token surged to an intraday high of $7.60, pushing the fully diluted valuation to nearly $8 billion. This trajectory illustrates a complete market narrative cycle where initial hype failed to sustain long-term value, leaving token holders to question the utility of the asset in the new AI-focused story.

Originally positioned as a modular Layer 1 designed to help developers launch dedicated chains known as Chainlets, Saga aimed to provide an L1 to launch L1s. The architecture allowed for automatic deployment of chains compatible with various virtual machines, running in parallel with interoperability managed through the Saga protocol. SAGA tokens were designated for payment of Chainlets, staking, and governance, aligning perfectly with 2024 market keywords like modularity, AppChain, gaming, and shared security. Public data indicates Saga accumulated 350 ecosystem projects in under two years, with 80% focused on gaming, and secured partnerships with Polygon, Avalanche, Celestia, and Com2uS. This ecosystem depth supported a high valuation, evidenced by three financing rounds totaling approximately $15 million from investors including Placeholder, Maven11, Longhash, Samsung, Merit Circle, Figment, and Chorus One.

The valuation mechanics were heavily influenced by the tokenomics structure and the specific market window at launch. The initial total supply of SAGA was set at 1 billion tokens, with only about 90 million in circulation at TGE, accounting for 9% of the total. Binance Launchpool allocated 45 million tokens, representing 4.5% of the supply. While this low circulating supply created price elasticity, it also meant that infrastructure projects faced immediate valuation realization before product demand or protocol revenue could be validated. By June 10, 2026, the token had fallen to a historical low of $0.01174, confirming the 99.8% drop from its peak and exposing the fragility of early pricing models.

Woofun AI data shows that Saga is not an isolated case, as other infrastructure projects launched around the same time followed similar trajectories of valuation collapse. AltLayer, which promoted chain launching via rollups and keywords like EigenLayer and Celestia, raised over $20 million from Polychain, Jump Crypto, and YZi Labs. With a TGE circulation of 11% and a Launchpool allocation of 5%, the ALT token has since dropped 99.1% from its peak. Similarly, Manta Network, known for modular L2 and ZK applications, secured $25 million in Series A financing led by Polychain and Qiming at a $500 million valuation, with early backing from YZi Labs. Despite a TGE circulation of 25.1% and a 3% Launchpool allocation, MANTA has fallen 98.5% from its historical high. These cases demonstrate a structural pattern where Launchpool provided listing certainty and liquidity, while the secondary market absorbed the pressure of valuation regression once the narrative faded.

The transition from chain infrastructure to AI was precipitated by both market weakness and a critical security incident. By January 2025, SAGA prices had weakened significantly, prompting a strategic partnership with Virtuals, Eliza Labs, and Wayfinder to develop the cross-chain AI agent protocol Metropolis. At that stage, AI was merely a demand source for the existing Chainlet infrastructure, not a replacement for it.

However, the situation deteriorated on January 21, 2026, when the SagaEVM chain suffered a security breach involving the cross-chain transfer of approximately $7 million in funds, which were exchanged for ETH. The chain was urgently paused at block height 6593800, causing the protocol's TVL to plummet and the stablecoin Saga Dollar to briefly depeg. Although officials denied consensus failure or key leakage, the incident eroded trust in the SagaEVM network just as the token hit its June low.

In response, Saga AI Labs shifted its narrative entirely away from chain launching tools to focus on AI character business. The new model targets games, brands, and IP holders, enabling the creation of AI characters capable of long-term online interaction across X, Instagram, Discord, and WhatsApp. These digital entities can chat with users, respond to messages, and guide them back to games or communities. The official website now showcases cases such as Willy from Trivia Crack, Crystal Beaumont from GFAL Diamond Jewels, and Tío serving the Bonoxs gaming event community. This represents a fundamental change in subject matter: whereas AI agents were once potential users of the Saga chain, AI characters have become the core business, with the chain network handed over to third-party operations. Critics like Forgiven argue this is less a strategic choice and more a repackaging attempt, where teams with treasuries exceeding the token's market cap pivot to new trends like AI without proportionally distributing equity to original investors.

The Saga saga concludes with a sobering reflection on the disparity between narrative and product value in Web3. While the project team retains its brand and financing history to enter the AI track, secondary market participants are left with a token that has lost its primary support structure. The pricing mechanism in this sector appears to reward storytellers while punishing those who believe in the stories, as seen with the massive decline of high-FDV infrastructure assets. Ultimately, the market learns that grand narratives are not scarce; what is truly rare is the product, revenue, and user base that remain after the hype cycle ends. Saga's answer to this challenge remains to be seen.