
MEGA Cuts 20% of Staff as It Pivots to AI Inference Products
MEGA said on Nov. 13 that it had cut 20% of its workforce as part of a restructuring, days after the MegaETH Foundation rebranded and committed $30 million to new products starting with an AI inference marketplace. The company did not disclose how many people were affected or how cuts were distributed across teams.
Written by CoinArticle’s AI Newsroom · from 2 cited sources. How we work
What MEGA Disclosed
MEGA has cut 20% of its staff, co-founder Shuyao Kong said in a Nov. 13 post on X. The company did not give the number of employees affected or a breakdown by team, and described the reduction as the result of restructuring carried out over the past few months.
Kong said departing employees had worked on the blockchain, wallet, ecosystem support and communications since the project's earliest days. She said the founders, early employees and core engineering team remain with the company, and offered to introduce departing colleagues to prospective employers.
A Rebrand and a $30 Million Product Commitment
The cuts came three days after the MegaETH Foundation adopted the MEGA name on Nov. 10, alongside a $30 million commitment from its existing treasury to develop products. The rename does not replace the blockchain's name: MEGA's website still lists MegaETH as its blockchain division, and describes MOSS as an account layer offering one wallet across applications with programmable permissions for people and AI agents.
The first product direction is an AI inference market. Inference is the process of running a trained model to produce an output. In a November white paper, Yilong Li and Lei Yang argue that newer suppliers struggle to win customers because buyers cannot easily verify which model is being used or how their data is handled. Their proposed "Purified Intelligence" approach would make inference interchangeable across providers. Kong told The Block that marketplace details, including available providers and models, will be withheld until launch, and that all new products are intended to run on MegaETH with planned network upgrades to support them.
Retreat From the Accelerator Model
The pivot builds on a shift already visible in the ecosystem. In July, crypto.news reported that MegaETH was closing its accelerator after two Mega Mafia cohorts supported roughly 20 teams that collectively raised $80 million. Kong said most successful applications from the program were no longer building on MegaETH. Global Token Exchange chose to build its own chain, Noise moved to Base, and HelloTrade moved toward Monad, while Cap launched on MegaETH and pursued a multichain strategy. At the time, Kong said resources would go to first-party consumer products and applications built around capabilities specific to MegaETH.
Token Context
MEGA launched its token on April 30 after 10 ecosystem applications met its first performance milestone. The fixed supply is 10 billion tokens, with 53.3% allocated to performance-based staking rewards. In May, the foundation activated a stablecoin-funded buyback program and completed its first purchase using net income generated by the issuer of USDm.
What Remains Unclear
The sources differ on the framing of the story. The Defiant presents the cuts as the main development and the $30 million pledge as the preceding context, while Crypto.news leads with the cuts as a response to the product push. Both agree on the 20% figure and the November timeline, but neither source gives a headcount, and the product timeline and marketplace design remain unannounced beyond the white paper.
Why It Matters
For Traders
The cuts and rebrand are operational signals, and with no product launch date or headcount disclosed, they give no clear near-term catalyst for MEGA token pricing.
For Investors
A shift from ecosystem accelerator to first-party products and an AI inference market marks a change in how MegaETH intends to capture value over the coming year.
For Builders
Teams building on MegaETH should watch for planned network upgrades to support inference workloads, and note that several former accelerator projects have already migrated to other chains.
This article is for information only and is not financial advice. Read the full disclaimer.






