Debian’s vote to allow the “responsible use of generative AI” signals a softening in the open-source core community’s stance toward AI technology. In the long run, this should help reduce compliance-friction costs for AI compute infrastructure. Sunshine Power expects AIDC (AI data center) business growth to remain at a relatively high level in the next two years, reflecting a broader trend of the energy sector transitioning toward AI compute infrastructure. Projects in the $NEAR ecosystem that relate to data centers and decentralized compute narratives may indirectly benefit. The IMF expects global inflation to rise to 4.7% in 2026. Combined with geopolitical risks from the Iran–Israel conflict, expectations of tighter macro liquidity are likely to suppress valuations of risk assets—funds are indeed in a wait-and-see mode.
In this environment, $LTC —an established payment network—has a large market cap and relatively low volatility, giving it some defensive qualities when risk-averse sentiment heats up. However, it lacks breakout potential. $INJ has recently drawn attention due to its narrative around a blockchain-native transaction execution engine; if the logic of AI–finance integration is further strengthened, the value of its on-chain execution layer could be re-rated. $NEAR emphasizes parallel execution and AI integration, making it a high fit with the AIDC narrative. Still, under high inflation and geopolitical uncertainty, investors are more inclined to wait for pullback confirmations rather than chase.
Overall, the market shows characteristics of “structural opportunities + macro headwinds.” Capital is selectively focused on AI infrastructure, energy supporting systems, and the underlying protocols of highly resilient public chains. As for strategy, avoid going all-in on a single theme. It’s advisable to scale into projects with credible expectations of real business deployment, rather than purely concept-driven speculation.
Which do you favor more: $INJ ’s technical narrative or $LTC ’s value-storing logic? Or do you think $NEAR ’s current valuation has already priced in an AI premium?
In this environment, $LTC —an established payment network—has a large market cap and relatively low volatility, giving it some defensive qualities when risk-averse sentiment heats up. However, it lacks breakout potential. $INJ has recently drawn attention due to its narrative around a blockchain-native transaction execution engine; if the logic of AI–finance integration is further strengthened, the value of its on-chain execution layer could be re-rated. $NEAR emphasizes parallel execution and AI integration, making it a high fit with the AIDC narrative. Still, under high inflation and geopolitical uncertainty, investors are more inclined to wait for pullback confirmations rather than chase.
Overall, the market shows characteristics of “structural opportunities + macro headwinds.” Capital is selectively focused on AI infrastructure, energy supporting systems, and the underlying protocols of highly resilient public chains. As for strategy, avoid going all-in on a single theme. It’s advisable to scale into projects with credible expectations of real business deployment, rather than purely concept-driven speculation.
Which do you favor more: $INJ ’s technical narrative or $LTC ’s value-storing logic? Or do you think $NEAR ’s current valuation has already priced in an AI premium?