India Flags Crypto Risks, Cites Tax Enforcement Challenges

TheNewsCrypto2026-01-08 tarihinde yayınlandı2026-01-08 tarihinde güncellendi

Özet

Indian financial authorities have reiterated significant concerns regarding cryptocurrency transactions, emphasizing the challenges they pose to tax enforcement. The Income Tax Department highlighted these risks during a parliamentary committee meeting, pointing to difficulties in tracking taxable income due to the use of offshore exchanges, private wallets, and decentralized finance tools. The anonymous, borderless, and near-instant nature of crypto transfers further complicates oversight by allowing funds to move without regulated intermediaries. Jurisdictional issues with offshore virtual digital asset activities make it nearly impossible to track transactions and identify holders for tax purposes. Despite a 30% tax on crypto profits and a 1% TDS on all transfers, enforcement remains a challenge. While India permits crypto trading under this tax regime and has seen growing adoption, officials maintain a cautious stance, noting that the current framework presents obstacles, such as the non-recognition of transaction losses.

The financial authorities from India have restated concerns over crypto transactions and mentioned that they may muddle tax enforcement. The Income Tax Department of India has highlighted major risks associated with crypto activity at the time of a parliamentary standing committee on finance.

On January 7, in a parliamentary committee meeting with various agencies such as the Financial Intelligence Unit, the Department of Revenue, and the CBDT, the report named A Study on Virtual Digital Assets and the Way Forward was discussed, in which the alert associated with cryptocurrencies was made.

The Tax Department mentioned challenges associated with offshore exchanges, private wallets and decentralised finance tools, which make locating taxable income more difficult. In the meeting, the department also highlighted that anonymous, borderless and near-instant value transfers with crypto could permit one to shift funds without regulated financial intermediaries.

Unidentified Crypto Transactions

The authority also highlighted the jurisdictional challenges shown by offshore VDA activity. With various jurisdictions involved, tracking transactions and recognising holders for tax purposes is virtually not possible.

The report also highlighted that, however, there have been efforts in the past few months on information sharing; it becomes difficult, scraping the capability of tax officials to undertake proper assessment and reconstruction of transaction chains.

India imposes around a 30% tax on all profits from crypto asset activity, together with a 1% tax cut at source applied to all transfers, whether profitable or not. India officially permits cryptocurrency trading under this heavy tax regime and accepted the return of major US exchange Coinbase last year, and the complete stance of the government towards crypto remains cautious.

Local officials have so far mentioned that the crypto ecosystem of India is at a crucial stage, having adoption surging and the FIU approving 49 crypto exchanges in fiscal year 2024-25. The co-founder of CoinSwitch, Ashish Singhal, mentioned that the current tax framework makes challenges, as losses on crypto transactions are not identified.

Highlighted Crypto News Today:

U.S. Spot XRP ETFs Record First-Ever Outflows as XRP Price Drops

TagsCryptoIncome Tax DepartmentIndia

İlgili Sorular

QWhat are the main concerns raised by India's financial authorities regarding cryptocurrency transactions?

AIndia's financial authorities are concerned that crypto transactions may muddle tax enforcement, with challenges arising from offshore exchanges, private wallets, and decentralized finance tools that make locating taxable income difficult.

QWhich Indian government departments participated in the parliamentary committee meeting discussing virtual digital assets?

AThe parliamentary committee meeting included agencies such as the Financial Intelligence Unit, the Department of Revenue, and the Central Board of Direct Taxes (CBDT).

QWhat specific tax rates does India impose on cryptocurrency transactions?

AIndia imposes a 30% tax on all profits from crypto asset activity, along with a 1% tax deducted at source (TDS) applied to all transfers, regardless of whether they are profitable or not.

QWhat jurisdictional challenges did the Indian Tax Department highlight regarding offshore VDA activity?

AThe Tax Department highlighted that offshore Virtual Digital Asset activity creates jurisdictional challenges where tracking transactions and identifying holders for tax purposes is virtually impossible due to multiple jurisdictions involved.

QHow has India's crypto ecosystem developed according to local officials?

ALocal officials stated that India's crypto ecosystem is at a crucial stage with adoption surging, and the Financial Intelligence Unit (FIU) has approved 49 crypto exchanges for operation in fiscal year 2024-25.

İlgili Okumalar

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

The article "a16z: AI's 'Amnesia' – Can Continual Learning Cure It?" explores the limitations of current large language models (LLMs), which, like the protagonist in the film *Memento*, are trapped in a perpetual present—unable to form new memories after training. While methods like in-context learning (ICL), retrieval-augmented generation (RAG), and external scaffolding (e.g., chat history, prompts) provide temporary solutions, they fail to enable true internalization of new knowledge. The authors argue that compression—the core of learning during training—is halted at deployment, preventing models from generalizing, discovering novel solutions (e.g., mathematical proofs), or handling adversarial scenarios. The piece introduces *continual learning* as a critical research direction to address this, categorizing approaches into three paths: 1. **Context**: Scaling external memory via longer context windows, multi-agent systems, and smarter retrieval. 2. **Modules**: Using pluggable adapters or external memory layers for specialization without full retraining. 3. **Weights**: Enabling parameter updates through sparse training, test-time training, meta-learning, distillation, and reinforcement learning from feedback. Challenges include catastrophic forgetting, safety risks, and auditability, but overcoming these could unlock models that learn iteratively from experience. The conclusion emphasizes that while context-based methods are effective, true breakthroughs require models to compress new information into weights post-deployment, moving from mere retrieval to genuine learning.

marsbit3 saat önce

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

marsbit3 saat önce

İşlemler

Spot
Futures
活动图片