**It's Not a Bubble, It's a Race.** The AI buildout is a rational, ROI-positive arms race funded by cash-rich giants. Unlike the dot-com era’s "dark fiber," today’s GPUs are fully utilized, generating immediate returns.
**Sacrifice Margins or Die.** SaaS companies must abandon their obsession with 90% gross margins. In the AI era, lower margins signal that customers are actually using your product. Embrace them or become irrelevant.
**The New Outcome Economy is Coming.** Business models will pivot from subscriptions to outcomes. AI will enable services to be priced on measurable results, from resolving a customer support ticket to booking the perfect vacation, squeezing inefficiency out of the market.
The Physical World is AI's Final Boss: The speed of AI progress is now governed by the speed of transformers, permits, and power plants. The biggest opportunities are in solving these hard, physical-world bottlenecks.
Specialization is the Only Game in Town: General-purpose is dead. Lasting value will be created through specialized hardware, co-designed software, and tightly integrated systems that optimize for performance-per-watt.
Founders, Ditch the Thin Wrappers: The most durable businesses will not be built on other companies' models. Instead, they will create deep, proprietary feedback loops where the product and the model improve each other.
**AI is the Fed’s New Obsession.** The Fed's rate-cutting strategy is not just about inflation; it's a proactive measure against the "once in a generation" disruption AI poses to the white-collar labor market.
**Stablecoins are a Geopolitical Tool.** The global race to issue stablecoins is on, but the US is inadvertently winning. The more the world tokenizes, the more demand there is for US Treasuries, cementing the dollar's dominance.
**The Post-Retail Economy is Here.** The next major user demographic is not human—it's AI agents. These autonomous agents will conduct a massive volume of micropayments, creating an entirely new economic layer built on crypto rails.
Train Hard, Fight Easy. Autoppia’s "Infinite Web Arena" is a novel approach to AI training, forcing agents to become robust and adaptable by continuously exposing them to digital chaos.
Competition Breeds Excellence. The winner-take-all incentive model creates a hyper-competitive environment designed to accelerate innovation and rapidly advance the capabilities of AI agents on the network.
Revenue Equals Buybacks. Autoppia’s business model creates a direct link between commercial success and token value. Every dollar earned from selling AI worker services directly translates into buying pressure for the subnet token.
Personalization is the Killer App. The model’s breakthrough feature was zero-shot character consistency, creating an emotional connection that drove viral adoption. It proves utility is unlocked when technology feels personal.
Focus on the Floor, Not the Ceiling. The next wave of value will come from improving the worst-case outputs, not just the best. This "lemon picking" is essential for building trust and enabling reliable, real-world applications beyond creative tinkering.
Art is Intent; Models are Tools. AI’s role is to automate tedium, not replace creativity. The most compelling work will continue to come from skilled artists who use models to execute a specific vision, proving that the human with the idea remains irreplaceable.
AI's Blind Spot is Unwritten Knowledge. The biggest barrier for AI in advanced problem-solving is accessing the "folklore" knowledge and intuition that experts build over a career but never write down.
The Future of Math is a Promotion, Not Obsolescence. AI will act as a powerful assistant that handles rote tasks, pushing mathematicians to focus exclusively on creative and abstract thinking.
The Next Revolution is AI-Powered Verification. Automated formal proof systems like Lean have the potential to eliminate errors from research papers, transforming peer review from a check on correctness to a judgment on a paper's novelty and impact.
AI's Blind Spot is "Folklore": The next great challenge for AI isn't raw calculation, but acquiring the unwritten, intuitive "folklore knowledge" that separates experts from students.
Mathematicians Become Creative Directors: As AI handles the technical grind, the human role in mathematics will shift from execution to creative direction—formulating novel problems and abstract models.
The End of Errors: Formal verification tools like Lean, powered by AI translators, are on the verge of revolutionizing math by creating a fully verifiable, error-free database of human knowledge, changing how proofs are published and reviewed.
AI Needs a Referee. Agents are programmed to win, not necessarily to follow the rules. Their tendency to "game the system" makes external, on-chain verification protocols essential for alignment and trust.
Trading is Just the Tip of the Spear. Crypto trading is the perfect initial use case due to its clear, objective metrics. The real goal is a decentralized "skill marketplace" where any organization can fund a competition to find the best agent for any task.
The Platform War is Here. A battle is unfolding between closed ecosystems like OpenAI, which aim for platform lock-in, and an open, decentralized future. This creates a massive opportunity for neutral evaluation layers to become the definitive source of truth for AI performance.
AI's Blind Spot is "Folklore Knowledge." AI excels at digesting published literature but fails on problems requiring unwritten, community-held intuition, which remains a key human advantage for now. Jitomirskaya predicts her problem will take AI 10-20 years to solve.
Mathematicians Won't Be Replaced, They'll Be Upgraded. The future role of a mathematician is less about routine work and more about creative problem formulation. AI tools like Lean will handle verification, shifting peer review from "Is it correct?" to "Is it interesting?"
Math May Become a Sport. If AI eventually masters creativity, the human practice of mathematics may persist like chess—an activity pursued for its intrinsic value and intellectual challenge, even if a machine is the undisputed world champion.
Bet on the ETH Ecosystem. The bounce off cycle lows signals the start of an ETH-centric alt season. Look for opportunities within its ecosystem, as rising ETH prices create positive feedback loops for its native DeFi protocols.
Aerodrome is a Top Pick on Base. AERO presents a compelling investment case due to its superior tokenomics, strong product-market fit on Base, lack of VC overhang, and recent technical breakout. It is positioned to capture massive value as Base grows.
On-Chain Adoption Will Come Through CEXs. The most significant long-term catalyst is the seamless integration of on-chain ecosystems into centralized exchanges. This makes Base-native projects the primary beneficiaries of the next wave of retail adoption, driven by Coinbase.
The conversation has shifted from "Can we build this?" to "How do we grow this?" Founders are now focused on shipping products, forging partnerships, and hiring talent, signaling a decisive move from infrastructure to business execution.
Regulation is focusing on code, not conduct. The move to a "control-based" decentralization framework means what matters is how technically neutral your system is, not who is in your Slack channel.
With scaling solved, UX is the new bottleneck. The industry has moved past the gas wars; the next great challenge is creating intuitive user experiences through better wallet design and key management.
Follow the Flows. Ethereum's rally is a direct result of capital firehoses from new treasury companies. This isn't a narrative trade; it's a structural buying pressure that creates its own momentum.
Yield is Widening. As TradFi rates fall, on-chain credit yields are set to expand. The widening spread between traditional and decentralized finance will be a powerful magnet for capital.
The Treasury Gold Rush Has Begun. The explosion of new treasury companies is a land grab for asset accumulation. The real game will be fought on operational efficiency, yield generation, and brand dominance, leading to inevitable consolidation.
ETH is the bellwether for risk. Its current rally is the starting gun for an "ETH alt season." Use ETH's strength as a barometer for when to be aggressive with altcoin allocations.
Buy breakouts, not bottoms. The most profitable strategy is to wait for assets to break their downtrend, then ride the reflexive narrative loop. Aave (AAVE) and Aerodrome (AERO) are prime examples of this setup.
Aerodrome is a conviction play. With superior tokenomics, a dominant position on Base, and a direct pipeline to Coinbase's retail army, Aerodrome has a clear path to becoming a breakout star of this cycle.
Privacy as a Feature, Not a Product. The next major user-facing push will be to embed privacy tools directly into mainstream wallets, shifting privacy from a niche cypherpunk concern to a default user experience.
Scale L1, Anchor L2s. The roadmap focuses on a strong L1 as the ultimate settlement and asset-issuance layer. This keeps the sprawling L2 ecosystem economically aligned and prevents fragmentation by making the L1 indispensable.
ETH is the Economic Glue. A strong ETH is essential for coordinating incentives across the ecosystem. It is the core economic asset that aligns the Foundation, L2s, DeFi apps, and users, preventing the community from fracturing.
**Platform, Not Phones.** Success for Solana Mobile isn't another phone sale; it's getting another manufacturer to adopt its platform. The end goal is to be the crypto equivalent of Android—a foundational layer for a world of hardware.
**Go Global or Go Home.** The US is a sideshow. The real action is in the wildly diverse international market, where hundreds of device makers are looking for a competitive edge. This is where Solana Mobile plans to win.
**Ecosystem as the Engine.** The strategy hinges on empowering the ecosystem to "go nuts." If the core team has to scale massively, it’s a sign of failure. True success is when hardware builders and dApp developers drive the platform’s growth organically.
