top of page

How DeepSeek’s Cost-Efficient AI is Disrupting the U.S.-China Tech Rivalry

Writer's picture: Dr. Shahid MasoodDr. Shahid Masood
The Rise of DeepSeek: Shaping the Future of Global AI with Cost Efficiency and Geopolitical Implications

The world of artificial intelligence (AI) is experiencing a seismic shift. A Chinese AI company, DeepSeek, founded by Liang Wenfeng in 2023, is positioning itself as a formidable challenger to established players like OpenAI, Google, and Nvidia. What distinguishes DeepSeek is its ability to create advanced AI models at a fraction of the cost traditionally associated with such developments. The company’s DeepSeek-R1, powered by the DeepSeek-V3 architecture, is reshaping the AI landscape, offering powerful alternatives to models like GPT-4, PaLM, and others, all at significantly lower costs. However, DeepSeek’s rise is not just about technological innovation; it is also deeply entwined with geopolitical dynamics, economic implications, and the evolving US-China rivalry.

DeepSeek's Technological Breakthrough: A New Standard for AI Performance and Affordability
DeepSeek’s flagship product, the DeepSeek-R1 AI model, is revolutionizing how AI is developed. Traditionally, creating state-of-the-art AI models requires massive resources, both in terms of financial investment and computational power. For example, training OpenAI’s GPT-4 cost an estimated $100 million and utilized 16,000 chips. In contrast, DeepSeek-R1 was developed at a fraction of this cost, with a total investment of just $6 million, and it required only 2,000 specialized chips to train.

This cost-efficiency doesn’t come at the expense of performance. The DeepSeek-R1 is capable of performing tasks that are typically handled by models like GPT-4 and Google’s PaLM, including natural language processing (NLP), mathematical problem-solving, and code generation. It uses the DeepSeek-V3 architecture, a proprietary design that optimizes training efficiency, making it one of the most advanced models in the industry today.

Key Technological Highlights:
Cost: DeepSeek-R1’s development cost is 90% less than that of competing models like GPT-4.
Training Chips: DeepSeek-R1 utilizes 2,000 chips, compared to the 16,000 chips required for models like GPT-4.
Performance: DeepSeek-R1 is on par with the performance of established models in language understanding, code generation, and mathematical analysis.
Table 1: AI Model Training Costs and Resources Comparison

Company	AI Model	Training Cost (USD)	Chips Required	Performance Features
DeepSeek	DeepSeek-R1	$6 Million	2,000	Comparable to GPT-4 and PaLM
OpenAI	GPT-4	$100 Million+	16,000	NLP, Code generation, Math
Google	PaLM	$150 Million+	12,000	Language generation, Reasoning
Meta	LLaMA	$50 Million+	10,000	Open-source, NLP, Text generation
Nvidia	DGX AI Supercomputer	$200 Million+	20,000	Leading in high-performance AI
Source: Industry reports and DeepSeek’s official announcement

Geopolitical Context: US-China AI Race and the Impact of DeepSeek's Emergence
The rise of DeepSeek is more than a technological shift; it is a geopolitical event that reflects the growing AI rivalry between the United States and China. For over a decade, the U.S. has been at the forefront of AI research and development. Companies like OpenAI, Google, and Microsoft have dominated the landscape, while Nvidia has supplied the cutting-edge chips that power these models. However, China has long been investing heavily in AI technologies, recognizing them as a strategic asset in its efforts to become a global leader in both technology and geopolitical influence.

DeepSeek’s cost-effective AI models are a direct challenge to the U.S. in this context. As the U.S. government has imposed restrictions on the export of high-end chips to China, fearing that they could be used for military or strategic purposes, DeepSeek’s breakthrough is a clear indication that China is no longer solely reliant on Western technology for cutting-edge developments in AI. The company's DeepSeek-V3 architecture, optimized for efficiency, significantly reduces reliance on high-end foreign chips, giving China a potential competitive edge in the AI race.

U.S.-China AI Rivalry: A Technological Cold War?
The development of advanced AI has become a strategic priority for both the U.S. and China. The AI Cold War has intensified, with each country seeking to dominate the future of artificial intelligence. The implications are far-reaching, as AI technology plays a critical role in a wide range of industries, from military defense to cybersecurity, and even the economy.

This ongoing rivalry is increasingly playing out in the geopolitical sphere, where AI’s role in surveillance, data analytics, and military applications becomes ever more critical. China’s development of cost-effective, high-performance AI models like DeepSeek-R1 has the potential to reshape the global AI landscape, providing China with a strategic advantage in both commercial and military sectors.

The Economic Disruption: AI’s New Cost-Effective Landscape
The economics of AI are shifting dramatically with DeepSeek’s cost-efficient approach. Historically, AI model development has been a costly venture, with companies like Nvidia and Intel benefiting from the need for high-performance hardware like GPUs and specialized chips. However, DeepSeek’s low-cost AI models could disrupt this revenue model entirely.

Market Disruption: Nvidia and the Future of AI Hardware
Nvidia’s role in AI hardware development has been integral to the growth of AI technology. The company is a dominant force, providing the GPUs and chips necessary for training deep learning models. DeepSeek’s approach threatens this established business model. With DeepSeek-R1 being trained on just 2,000 chips compared to the 16,000 chips required by models like GPT-4, the demand for expensive chips could diminish significantly. This reduction in hardware requirements has profound implications for Nvidia’s business model, which is heavily reliant on selling high-end chips for AI development.

DeepSeek’s success may lead to a lower demand for GPUs and could encourage other companies to adopt similar cost-effective strategies, dramatically reshaping the AI hardware market. As the cost of developing AI decreases, we may see a proliferation of smaller, more agile companies entering the market, each contributing to the growing AI ecosystem.

Economic Implications: Empowering Smaller Players and Global Startups
The cost-effectiveness of DeepSeek’s technology has the potential to democratize access to AI. Traditionally, only the most well-funded companies have had access to the resources necessary to develop advanced AI models. However, DeepSeek’s approach opens the door for smaller businesses, startups, and even economies in developing countries to harness the power of AI.

By reducing the costs associated with AI model development and training, DeepSeek is lowering the barrier to entry, making it easier for organizations across sectors such as healthcare, finance, and education to leverage AI for innovation. This could lead to new opportunities for AI-driven entrepreneurship, particularly in emerging economies where access to cutting-edge technology has been limited.

Chart 1: The Projected Global Impact of AI Adoption by Sector

Sector	AI Adoption (2024-2030)	Potential Economic Impact (USD)	Growth Rate (%)
Healthcare	75% increase	$90 Billion+	20%
Agriculture	60% increase	$40 Billion+	15%
Education	55% increase	$25 Billion+	10%
Manufacturing	80% increase	$60 Billion+	25%
Finance and Banking	70% increase	$100 Billion+	18%
Source: Global AI Market Analysis 2024

Ethical Considerations and AI Regulation: A Call for Global Standards
As AI becomes more ubiquitous, ethical concerns around its deployment become increasingly important. DeepSeek’s AI models raise critical questions regarding data privacy, cybersecurity, and the potential for AI misuse. The lack of transparency in how AI models are trained and deployed could exacerbate existing concerns about bias and discrimination.

Furthermore, the rapid pace of AI development raises the question of regulation. How will governments around the world ensure that AI is used ethically and responsibly? What global standards will emerge to ensure the fair and transparent use of AI technologies? As we move into an era where AI influences everything from financial markets to healthcare, ensuring that AI technologies are used for good and not harm will be paramount.

Conclusion: The Future of AI - DeepSeek’s Role in the Geopolitical and Economic Landscape
The rise of DeepSeek represents a pivotal moment in the evolution of global AI. The company’s cost-efficient, high-performance AI models are set to disrupt not only the technology market but also the geopolitical balance between China and the U.S. As DeepSeek continues to gain traction, it poses a direct challenge to the dominance of American tech giants, particularly in the realms of AI model development and hardware.

The economic implications of DeepSeek’s technology cannot be overstated. By lowering the cost of AI development, DeepSeek is opening the door for smaller businesses, startups, and even developing countries to harness the power of AI. This democratization of AI technology could have far-reaching consequences, empowering new industries and players on the global stage.

As the US-China AI race intensifies, it is clear that the future of AI will be shaped by both technological innovation and geopolitical tensions. The world is on the brink of a new era in AI development, and the DeepSeek-R1 is poised to play a key role in this transformative journey.

For more expert insights into the future of AI, technology, and its geopolitical implications, stay updated with Dr. Shahid Masood and the expert team at 1950.ai. The team at 1950.ai is committed to providing in-depth analysis and commentary on the ever-evolving landscape of AI and emerging technologies. Stay connected for more expert opinions from Dr. Shahid Masood and 1950.ai as we continue to navigate the challenges and opportunities presented by AI.

The world of artificial intelligence (AI) is experiencing a seismic shift. A Chinese AI company, DeepSeek, founded by Liang Wenfeng in 2023, is positioning itself as a formidable challenger to established players like OpenAI, Google, and Nvidia. What distinguishes DeepSeek is its ability to create advanced AI models at a fraction of the cost traditionally associated with such developments. The company’s DeepSeek-R1, powered by the DeepSeek-V3 architecture, is reshaping the AI landscape, offering powerful alternatives to models like GPT-4, PaLM, and others, all at significantly lower costs. However, DeepSeek’s rise is not just about technological innovation; it is also deeply entwined with geopolitical dynamics, economic implications, and the evolving US-China rivalry.


DeepSeek's Technological Breakthrough: A New Standard for AI Performance and Affordability

DeepSeek’s flagship product, the DeepSeek-R1 AI model, is revolutionizing how AI is developed. Traditionally, creating state-of-the-art AI models requires massive resources, both in terms of financial investment and computational power. For example, training OpenAI’s GPT-4 cost an estimated $100 million and utilized 16,000 chips. In contrast, DeepSeek-R1 was developed at a fraction of this cost, with a total investment of just $6 million, and it required only 2,000 specialized chips to train.


This cost-efficiency doesn’t come at the expense of performance. The DeepSeek-R1 is capable of performing tasks that are typically handled by models like GPT-4 and Google’s PaLM, including natural language processing (NLP), mathematical problem-solving, and code generation. It uses the DeepSeek-V3 architecture, a proprietary design that optimizes training efficiency, making it one of the most advanced models in the industry today.


Key Technological Highlights:

  1. Cost: DeepSeek-R1’s development cost is 90% less than that of competing models like GPT-4.

  2. Training Chips: DeepSeek-R1 utilizes 2,000 chips, compared to the 16,000 chips required for models like GPT-4.

  3. Performance: DeepSeek-R1 is on par with the performance of established models in language understanding, code generation, and mathematical analysis.


AI Model Training Costs and Resources Comparison

Company

AI Model

Training Cost (USD)

Chips Required

Performance Features

DeepSeek

DeepSeek-R1

$6 Million

2,000

Comparable to GPT-4 and PaLM

OpenAI

GPT-4

$100 Million+

16,000

NLP, Code generation, Math

Google

PaLM

$150 Million+

12,000

Language generation, Reasoning

Meta

LLaMA

$50 Million+

10,000

Open-source, NLP, Text generation

Nvidia

DGX AI Supercomputer

$200 Million+

20,000

Leading in high-performance AI

Source: Industry reports and DeepSeek’s official announcement


Geopolitical Context: US-China AI Race and the Impact of DeepSeek's Emergence

The rise of DeepSeek is more than a technological shift; it is a geopolitical event that reflects the growing AI rivalry between the United States and China. For over a decade, the U.S. has been at the forefront of AI research and development. Companies like OpenAI, Google, and Microsoft have dominated the landscape, while Nvidia has supplied the cutting-edge chips that power these models. However, China has long been investing heavily in AI technologies, recognizing them as a strategic asset in its efforts to become a global leader in both technology and geopolitical influence.


DeepSeek’s cost-effective AI models are a direct challenge to the U.S. in this context. As the U.S. government has imposed restrictions on the export of high-end chips to China, fearing that they could be used for military or strategic purposes, DeepSeek’s breakthrough is a clear indication that China is no longer solely reliant on Western technology for cutting-edge developments in AI. The company's DeepSeek-V3 architecture, optimized for efficiency, significantly reduces reliance on high-end foreign chips, giving China a potential competitive edge in the AI race.


U.S.-China AI Rivalry: A Technological Cold War?

The development of advanced AI has become a strategic priority for both the U.S. and China. The AI Cold War has intensified, with each country seeking to dominate the future of artificial intelligence. The implications are far-reaching, as AI technology plays a critical role in a wide range of industries, from military defense to cybersecurity, and even the economy.


This ongoing rivalry is increasingly playing out in the geopolitical sphere, where AI’s role in surveillance, data analytics, and military applications becomes ever more critical. China’s development of cost-effective, high-performance AI models like DeepSeek-R1 has the potential to reshape the global AI landscape, providing China with a strategic advantage in both commercial and military sectors.


The Economic Disruption: AI’s New Cost-Effective Landscape

The economics of AI are shifting dramatically with DeepSeek’s cost-efficient approach. Historically, AI model development has been a costly venture, with companies like Nvidia and Intel benefiting from the need for high-performance hardware like GPUs and specialized chips. However, DeepSeek’s low-cost AI models could disrupt this revenue model entirely.


The Rise of DeepSeek: Shaping the Future of Global AI with Cost Efficiency and Geopolitical Implications

The world of artificial intelligence (AI) is experiencing a seismic shift. A Chinese AI company, DeepSeek, founded by Liang Wenfeng in 2023, is positioning itself as a formidable challenger to established players like OpenAI, Google, and Nvidia. What distinguishes DeepSeek is its ability to create advanced AI models at a fraction of the cost traditionally associated with such developments. The company’s DeepSeek-R1, powered by the DeepSeek-V3 architecture, is reshaping the AI landscape, offering powerful alternatives to models like GPT-4, PaLM, and others, all at significantly lower costs. However, DeepSeek’s rise is not just about technological innovation; it is also deeply entwined with geopolitical dynamics, economic implications, and the evolving US-China rivalry.

DeepSeek's Technological Breakthrough: A New Standard for AI Performance and Affordability
DeepSeek’s flagship product, the DeepSeek-R1 AI model, is revolutionizing how AI is developed. Traditionally, creating state-of-the-art AI models requires massive resources, both in terms of financial investment and computational power. For example, training OpenAI’s GPT-4 cost an estimated $100 million and utilized 16,000 chips. In contrast, DeepSeek-R1 was developed at a fraction of this cost, with a total investment of just $6 million, and it required only 2,000 specialized chips to train.

This cost-efficiency doesn’t come at the expense of performance. The DeepSeek-R1 is capable of performing tasks that are typically handled by models like GPT-4 and Google’s PaLM, including natural language processing (NLP), mathematical problem-solving, and code generation. It uses the DeepSeek-V3 architecture, a proprietary design that optimizes training efficiency, making it one of the most advanced models in the industry today.

Key Technological Highlights:
Cost: DeepSeek-R1’s development cost is 90% less than that of competing models like GPT-4.
Training Chips: DeepSeek-R1 utilizes 2,000 chips, compared to the 16,000 chips required for models like GPT-4.
Performance: DeepSeek-R1 is on par with the performance of established models in language understanding, code generation, and mathematical analysis.
Table 1: AI Model Training Costs and Resources Comparison

Company	AI Model	Training Cost (USD)	Chips Required	Performance Features
DeepSeek	DeepSeek-R1	$6 Million	2,000	Comparable to GPT-4 and PaLM
OpenAI	GPT-4	$100 Million+	16,000	NLP, Code generation, Math
Google	PaLM	$150 Million+	12,000	Language generation, Reasoning
Meta	LLaMA	$50 Million+	10,000	Open-source, NLP, Text generation
Nvidia	DGX AI Supercomputer	$200 Million+	20,000	Leading in high-performance AI
Source: Industry reports and DeepSeek’s official announcement

Geopolitical Context: US-China AI Race and the Impact of DeepSeek's Emergence
The rise of DeepSeek is more than a technological shift; it is a geopolitical event that reflects the growing AI rivalry between the United States and China. For over a decade, the U.S. has been at the forefront of AI research and development. Companies like OpenAI, Google, and Microsoft have dominated the landscape, while Nvidia has supplied the cutting-edge chips that power these models. However, China has long been investing heavily in AI technologies, recognizing them as a strategic asset in its efforts to become a global leader in both technology and geopolitical influence.

DeepSeek’s cost-effective AI models are a direct challenge to the U.S. in this context. As the U.S. government has imposed restrictions on the export of high-end chips to China, fearing that they could be used for military or strategic purposes, DeepSeek’s breakthrough is a clear indication that China is no longer solely reliant on Western technology for cutting-edge developments in AI. The company's DeepSeek-V3 architecture, optimized for efficiency, significantly reduces reliance on high-end foreign chips, giving China a potential competitive edge in the AI race.

U.S.-China AI Rivalry: A Technological Cold War?
The development of advanced AI has become a strategic priority for both the U.S. and China. The AI Cold War has intensified, with each country seeking to dominate the future of artificial intelligence. The implications are far-reaching, as AI technology plays a critical role in a wide range of industries, from military defense to cybersecurity, and even the economy.

This ongoing rivalry is increasingly playing out in the geopolitical sphere, where AI’s role in surveillance, data analytics, and military applications becomes ever more critical. China’s development of cost-effective, high-performance AI models like DeepSeek-R1 has the potential to reshape the global AI landscape, providing China with a strategic advantage in both commercial and military sectors.

The Economic Disruption: AI’s New Cost-Effective Landscape
The economics of AI are shifting dramatically with DeepSeek’s cost-efficient approach. Historically, AI model development has been a costly venture, with companies like Nvidia and Intel benefiting from the need for high-performance hardware like GPUs and specialized chips. However, DeepSeek’s low-cost AI models could disrupt this revenue model entirely.

Market Disruption: Nvidia and the Future of AI Hardware
Nvidia’s role in AI hardware development has been integral to the growth of AI technology. The company is a dominant force, providing the GPUs and chips necessary for training deep learning models. DeepSeek’s approach threatens this established business model. With DeepSeek-R1 being trained on just 2,000 chips compared to the 16,000 chips required by models like GPT-4, the demand for expensive chips could diminish significantly. This reduction in hardware requirements has profound implications for Nvidia’s business model, which is heavily reliant on selling high-end chips for AI development.

DeepSeek’s success may lead to a lower demand for GPUs and could encourage other companies to adopt similar cost-effective strategies, dramatically reshaping the AI hardware market. As the cost of developing AI decreases, we may see a proliferation of smaller, more agile companies entering the market, each contributing to the growing AI ecosystem.

Economic Implications: Empowering Smaller Players and Global Startups
The cost-effectiveness of DeepSeek’s technology has the potential to democratize access to AI. Traditionally, only the most well-funded companies have had access to the resources necessary to develop advanced AI models. However, DeepSeek’s approach opens the door for smaller businesses, startups, and even economies in developing countries to harness the power of AI.

By reducing the costs associated with AI model development and training, DeepSeek is lowering the barrier to entry, making it easier for organizations across sectors such as healthcare, finance, and education to leverage AI for innovation. This could lead to new opportunities for AI-driven entrepreneurship, particularly in emerging economies where access to cutting-edge technology has been limited.

Chart 1: The Projected Global Impact of AI Adoption by Sector

Sector	AI Adoption (2024-2030)	Potential Economic Impact (USD)	Growth Rate (%)
Healthcare	75% increase	$90 Billion+	20%
Agriculture	60% increase	$40 Billion+	15%
Education	55% increase	$25 Billion+	10%
Manufacturing	80% increase	$60 Billion+	25%
Finance and Banking	70% increase	$100 Billion+	18%
Source: Global AI Market Analysis 2024

Ethical Considerations and AI Regulation: A Call for Global Standards
As AI becomes more ubiquitous, ethical concerns around its deployment become increasingly important. DeepSeek’s AI models raise critical questions regarding data privacy, cybersecurity, and the potential for AI misuse. The lack of transparency in how AI models are trained and deployed could exacerbate existing concerns about bias and discrimination.

Furthermore, the rapid pace of AI development raises the question of regulation. How will governments around the world ensure that AI is used ethically and responsibly? What global standards will emerge to ensure the fair and transparent use of AI technologies? As we move into an era where AI influences everything from financial markets to healthcare, ensuring that AI technologies are used for good and not harm will be paramount.

Conclusion: The Future of AI - DeepSeek’s Role in the Geopolitical and Economic Landscape
The rise of DeepSeek represents a pivotal moment in the evolution of global AI. The company’s cost-efficient, high-performance AI models are set to disrupt not only the technology market but also the geopolitical balance between China and the U.S. As DeepSeek continues to gain traction, it poses a direct challenge to the dominance of American tech giants, particularly in the realms of AI model development and hardware.

The economic implications of DeepSeek’s technology cannot be overstated. By lowering the cost of AI development, DeepSeek is opening the door for smaller businesses, startups, and even developing countries to harness the power of AI. This democratization of AI technology could have far-reaching consequences, empowering new industries and players on the global stage.

As the US-China AI race intensifies, it is clear that the future of AI will be shaped by both technological innovation and geopolitical tensions. The world is on the brink of a new era in AI development, and the DeepSeek-R1 is poised to play a key role in this transformative journey.

For more expert insights into the future of AI, technology, and its geopolitical implications, stay updated with Dr. Shahid Masood and the expert team at 1950.ai. The team at 1950.ai is committed to providing in-depth analysis and commentary on the ever-evolving landscape of AI and emerging technologies. Stay connected for more expert opinions from Dr. Shahid Masood and 1950.ai as we continue to navigate the challenges and opportunities presented by AI.

Market Disruption: Nvidia and the Future of AI Hardware

Nvidia’s role in AI hardware development has been integral to the growth of AI technology. The company is a dominant force, providing the GPUs and chips necessary for training deep learning models. DeepSeek’s approach threatens this established business model. With DeepSeek-R1 being trained on just 2,000 chips compared to the 16,000 chips required by models like GPT-4, the demand for expensive chips could diminish significantly. This reduction in hardware requirements has profound implications for Nvidia’s business model, which is heavily reliant on selling high-end chips for AI development.


DeepSeek’s success may lead to a lower demand for GPUs and could encourage other companies to adopt similar cost-effective strategies, dramatically reshaping the AI hardware market. As the cost of developing AI decreases, we may see a proliferation of smaller, more agile companies entering the market, each contributing to the growing AI ecosystem.


Economic Implications: Empowering Smaller Players and Global Startups

The cost-effectiveness of DeepSeek’s technology has the potential to democratize access to AI. Traditionally, only the most well-funded companies have had access to the resources necessary to develop advanced AI models. However, DeepSeek’s approach opens the door for smaller businesses, startups, and even economies in developing countries to harness the power of AI.


By reducing the costs associated with AI model development and training, DeepSeek is lowering the barrier to entry, making it easier for organizations across sectors such as healthcare, finance, and education to leverage AI for innovation. This could lead to new opportunities for AI-driven entrepreneurship, particularly in emerging economies where access to cutting-edge technology has been limited.


The Projected Global Impact of AI Adoption by Sector

Sector

AI Adoption (2024-2030)

Potential Economic Impact (USD)

Growth Rate (%)

Healthcare

75% increase

$90 Billion+

20%

Agriculture

60% increase

$40 Billion+

15%

Education

55% increase

$25 Billion+

10%

Manufacturing

80% increase

$60 Billion+

25%

Finance and Banking

70% increase

$100 Billion+

18%

Source: Global AI Market Analysis 2024


Ethical Considerations and AI Regulation: A Call for Global Standards

As AI becomes more ubiquitous, ethical concerns around its deployment become increasingly important. DeepSeek’s AI models raise critical questions regarding data privacy, cybersecurity, and the potential for AI misuse. The lack of transparency in how AI models are trained and deployed could exacerbate existing concerns about bias and discrimination.


Furthermore, the rapid pace of AI development raises the question of regulation. How will governments around the world ensure that AI is used ethically and responsibly? What global standards will emerge to ensure the fair and transparent use of AI technologies? As we move into an era where AI influences everything from financial markets to healthcare, ensuring that AI technologies are used for good and not harm will be paramount.


The Future of AI - DeepSeek’s Role in the Geopolitical and Economic Landscape

The rise of DeepSeek represents a pivotal moment in the evolution of global AI. The company’s cost-efficient, high-performance AI models are set to disrupt not only the technology market but also the geopolitical balance between China and the U.S. As DeepSeek continues to gain traction, it poses a direct challenge to the dominance of American tech giants, particularly in the realms of AI model development and hardware.


The economic implications of DeepSeek’s technology cannot be overstated. By lowering the cost of AI development, DeepSeek is opening the door for smaller businesses, startups, and even developing countries to harness the power of AI. This democratization of AI technology could have far-reaching consequences, empowering new industries and players on the global stage.


As the US-China AI race intensifies, it is clear that the future of AI will be shaped by both technological innovation and geopolitical tensions. The world is on the brink of a new era in AI development, and the DeepSeek-R1 is poised to play a key role in this transformative journey.


For more expert insights into the future of AI, technology, and its geopolitical implications, stay updated with Dr. Shahid Masood and the expert team at 1950.ai.

2 views0 comments

コメント


bottom of page