Artificial intelligence is rapidly evolving, with generative AI models like ChatGPT, Gemini, and MidJourney revolutionizing industries from online stores to creative content generation. However, the rise of new AI models, particularly DeepSeek, has sparked cybersecurity concerns, especially for users who consider running it locally on their devices. In the development of my online store for digital products, particularly for AI art, this is one of the reasons why DeepSeek is not used in the development of our online stores.
Unlike ChatGPT by OpenAI or Gemini by Google, DeepSeek—a Chinese-developed AI—raises serious risks regarding hacking, legislation, and AI control.
With increasing tensions between the USA and China, concerns about AI security, data privacy, and potential misuse are growing. Here are ten reasons why running DeepSeek on your computer could be more dangerous than using cloud-based AI models like ChatGPT or Gemini.
1. Data Privacy Risks & China’s Strict AI Regulations
DeepSeek is developed in China, where AI regulations are heavily influenced by government policies under Xi Jinping. Unlike ChatGPT and Gemini, which operate under stricter USA data protection laws, Chinese AI models may store, analyze, or transmit user data in ways that are not fully transparent.
Running DeepSeek locally means you have little control over how your data is processed or where it goes.
2. Lack of Strong Cybersecurity Protections
Unlike OpenAI and Google, which invest billions in cybersecurity, DeepSeek may not have the same level of defense mechanisms against hacking and malware attacks. Running it locally increases your vulnerability to unauthorized data extraction, backdoor access, and other security risks.
3. Potential for Government Surveillance
The Chinese cybersecurity landscape is vastly different from that of the USA. AI models developed in China must comply with strict government oversight, meaning there is a risk of backdoors being embedded within the AI itself. Running DeepSeek locally could make your system vulnerable to surveillance tactics, spyware, or remote access vulnerabilities.
4. Unregulated Artificial General Intelligence (AGI) Risks
While ChatGPT and Gemini are designed with built-in ethical guidelines, DeepSeek’s capabilities in Artificial General Intelligence (AGI) remain unclear. Unregulated AGI poses potential dangers, including:
- AI-generated misinformation
- Unethical content production
- AI autonomy beyond user control
Without strict USA-style AI regulations, a locally run DeepSeek model could generate harmful or manipulative content without oversight. In order to compare Chatgot and DeepSeek, I invite you to read this article which gives more details.
5. Weak Legislation on AI Hacking
In the USA, AI security laws are rapidly evolving, with new policies to protect AI users. However, China’s AI legislation focuses more on content censorship than cybersecurity protections. If a local DeepSeek model is compromised, users may have little legal recourse to address breaches, hacking, or AI misbehavior.
6. Higher Risk for Local AI Model Exploits
DeepSeek, unlike ChatGPT or Gemini, may have vulnerabilities when running locally. Hackers can exploit local AI models more easily than cloud-based ones, where AI security teams regularly monitor and patch vulnerabilities. A locally-run DeepSeek model could be an entry point for ransomware, trojans, or spyware.
7. AI Bias & Misinformation Risks
AI models reflect the data they are trained on. ChatGPT and Gemini have undergone extensive bias reduction protocols. However, DeepSeek's data sources may be biased toward Chinese government narratives or misinformation tactics. This could skew responses, making them unreliable for business, research, or online store optimization. In comparison, discover in this article why Chatgpt is becoming one of the most prominent AIs on earth.
8. Potential Blacklisting from USA AI Policies
The USA has blacklisted multiple Chinese AI and tech firms, citing national security risks. If DeepSeek becomes subject to new sanctions, users running it locally could face:
- Software updates being blocked
- Access to AI patches restricted
- Possible AI service termination
This could leave users with an outdated, unsupported AI model—a major risk compared to ChatGPT’s continuous updates.
9. Legal Concerns for Online Store Owners
Many online store owners use AI for marketing, customer service, and design (e.g., MidJourney for AI-generated images). If a business integrates DeepSeek AI, it could risk violating data protection laws in Western markets.
Potential consequences include:
- Account bans from platforms like Shopify, Amazon, or Etsy
- Fines for violating privacy regulations (GDPR, CCPA, etc.)
- Brand trust damage if linked to AI security breaches.
In this regard, I use regularly chatgpt in the creation of my products on my print on demand store, which offers print on demand products. It helps me to increase my productivity but especially by using it I have no worries about the way my data is used, which would be different if I was always using DeepSeek.
10. Deepening Geopolitical AI Conflicts
AI has become a battleground between the USA and China. Leaders like Donald Trump and Xi Jinping have both emphasized AI dominance as a key factor in global competition. Using DeepSeek locally could unknowingly contribute to AI tensions, affecting access to AI resources, research collaborations, and software updates.
Final Thoughts: Is DeepSeek Too Risky?
While AI models like ChatGPT and Gemini are developed under strict security, ethical, and legal guidelines, DeepSeek poses greater risks due to:
✔ Data privacy vulnerabilities
✔ Higher risk of hacking & AI exploits
✔ Government surveillance concerns
✔ Lack of transparency in AI training data
✔ Uncertain legal protections in Western markets
If you're considering using AI for online business, cybersecurity, or digital content, it's safer to stick with well-regulated AI models like ChatGPT or Gemini. Running DeepSeek locally could expose you to significant cybersecurity risks, AI-generated misinformation, and legal challenges.
Would you take the risk of running DeepSeek on your device? Let us know your thoughts in the comments!