Coinbase Is Back In India—And It Wants 30% Crypto Tax Reconsidered

bitcoinistPubblicato 2025-12-09Pubblicato ultima volta 2025-12-09

Introduzione

Coinbase has resumed cryptocurrency trading services in India after a two-year absence, following its registration with India’s Financial Intelligence Unit. The exchange initially entered India in 2022 but suspended services in 2023 after losing access to the Unified Payments Interface (UPI), which halted fiat deposits. Users can currently only trade crypto-to-crypto, but fiat on-ramps using Indian Rupees are planned for 2026. Coinbase is advocating for a reconsideration of India’s strict crypto tax policies, which include a 30% tax on profits and a 1% TDS on all transactions. The company has also invested in local exchange CoinDCX, signaling a long-term commitment to the Indian market.

Digital asset exchange Coinbase has restarted crypto trading in India after a two-year absence, with fiat deposits planned to arrive in 2026.

Coinbase Has Returned To India For The First Time Since 2023

As reported by TechCrunch, Coinbase has resumed user onboarding in India for the first time since pulling out of the country back in 2023, more than two years ago. The American crypto exchange ranks as the largest public digital asset company in the world, hosting around $516 billion in assets on its platform.

Initially, the exchange first entered India in 2022, but only a few days after beginning services, it had to suspend UPI payments. UPI, short for Unified Payments Interface, is the most widely adopted real-time digital payments instrument in India. The National Payments Corporation of India (NPCI) had said shortly after Coinbase’s launch that it wasn’t aware of any crypto exchange using UPI.

With UPI access gone, Coinbase users no longer had a way to purchase digital assets on the platform using fiat. The exchange stopped new user signups in June 2023, with a complete discontinuation of services happening in September 2023.

“We had millions of customers in India, historically, and we took a very clear stance to off-board those customers entirely from overseas entities, where they were domiciled and regulated,” said Coinbase’s APAC director, John O’Loghlen, at India Blockchain Week (IBW). O’Loghlen added that the decision to pull out didn’t come without hesitation.

Fast-forward to 2025, and Coinbase announced in March that it had registered with India’s Financial Intelligence Unit (FIU), allowing it to provide crypto services in the country. The platform opened in early access in October, and now, it has seen a full public launch. So far, users can only access crypto-to-crypto trading, but according to O’Loghlen, a fiat on-ramp is planned to become available next year. This would allow users to buy digital assets using the Indian Rupee (INR).

While India isn’t closed off to cryptocurrencies like its northern neighbor, China, it still has a relatively strict digital-asset regulation regime. The nation collects a 30% tax on investor crypto profits and allows for no offsets against losses. Additionally, it charges a 1% Tax Deducted at Source (TDS) on all transactions, as a method of tracking digital asset activity.

Naturally, this taxation regime isn’t ideal for crypto companies, as it directly affects adoption. O’Loghlen said that Coinbase is hoping the Indian government will relax the tax to make it more convenient for investors to hold digital assets.

Reopening its exchange isn’t the only move that Coinbase has made in the subcontinent recently. As announced on its blog, the platform has made an investment in Indian crypto exchange CoinDCX. “Taken together, these steps reflect a clear commitment: we believe India and its neighbors will help shape the future of the global onchain economy,” noted the post.

Bitcoin Price

At the time of writing, Bitcoin is trading around $91,800, up more than 7% over the last week.

The price of the coin seems to have recovered from its recent drop | Source: BTCUSDT on TradingView

Letture associate

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

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Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

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3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

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