Life
‘Never Say Goodbye’: Can AI Bring the Dead Back to Life?
This article delves into the fascinating and controversial world of AI resurrections, exploring how technology is changing the way we cope with grief.
TL;DR:
- AI is creating digital ‘resurrections’ of the dead, allowing people to interact with them.
- Projects like Replika and StoryFile use AI to mimic the deceased’s communication style.
- Experts debate the psychological and ethical implications of these technologies.
- Privacy and environmental concerns are significant issues with AI resurrections.
In a world where artificial intelligence can resurrect the dead, grief takes on a new dimension. From Canadian singer Drake’s use of AI-generated Tupac Shakur vocals to Indian politicians addressing crowds years after their passing, technology is blurring the lines between life and death. But beyond their uncanny pull in entertainment and politics, AI “zombies” might soon become a reality for people reeling from the loss of loved ones, through a series of pathbreaking, but potentially controversial, initiatives.
What are AI ‘Resurrections’ of People?
Over the past few years, AI projects around the world have created digital “resurrections” of individuals who have passed away, allowing friends and relatives to converse with them. Typically, users provide the AI tool with information about the deceased. This could include text messages and emails or simply be answers to personality-based questions. The AI tool then processes that data to talk to the user as if it were the deceased.
One of the most popular projects in this space is Replika – a chatbot that can mimic people’s texting styles. Other companies, however, now also allow you to see a video of the dead person as you talk to them. For example, Los Angeles-based StoryFile uses AI to allow people to talk at their own funerals. Before passing, a person can record a video sharing their life story and thoughts. During the funeral, attendees can ask questions and AI technology will select relevant responses from the prerecorded video.
In June, US-based Eternos also made headlines for creating an AI-powered digital afterlife of a person. Initiated just earlier this year, this project allowed 83-year-old Michael Bommer to leave behind a digital version of himself that his family could continue to interact with.
Do These Projects Help People?
When a South Korean mother reunited with an AI recreation of her dead daughter in virtual reality, a video of the emotional encounter in 2020 sparked an intense debate online about whether such technology helps or hurts its users. Developers of such projects point to the users’ agency, and say that it addresses a deeper suffering.
Jason Rohrer, founder of Project December, which also uses AI to stimulate conversations with the dead, said that most users are typically going through an “unusual level of trauma and grief” and see the tool as a way to help cope.
“A lot of these people who want to use Project December in this way are willing to try anything because their grief is so insurmountable and so painful to them.”
The project allows users to chat with AI recreations of known public figures and also with individuals that users may know personally. People who choose to use the service for stimulating conversation with the dead often discover that it helps them find closure, Rohrer said. The bots allow them to express words left unsaid to loved ones who died unexpectedly, he added.
Eternos’s founder, Robert LoCasio, said that he developed the company to capture people’s life stories and allow their loved ones to move forward. Bommer, his former colleague who passed away in June, wanted to leave behind a digital legacy exclusively for his family, said LoCasio.
“I spoke with [Bommer] just days before he passed away and he said, just remember, this was for me. I don’t know if they’d use this in the future, but this was important to me,” said LoCasio.
What are the Pitfalls of This Technology?
Some experts and observers are more wary of AI resurrections, questioning whether deeply grieving people can really make the informed decision to use it, and warning about its adverse psychological effects.
“The biggest concern that I have as a clinician is that mourning is actually very important. It’s an important part of development that we are able to acknowledge the missing of another person,” said Alessandra Lemma, consultant at the Anna Freud National Centre for Children and Families.
Prolonged use could keep people from coming to terms with the absence of the other person, leaving them in a state of “limbo”, Lemma warned. Indeed, one AI service has marketed a perpetual connection with the deceased person as a key feature.
“Welcome to YOV (You, Only Virtual), the AI startup pioneering advanced digital communications so that we Never Have to Say Goodbye to those we love,” read the company’s website, before it was recently updated.
Rohrer said that his grief bot has an “in-built” limiting factor: users pay $10 for a limited conversation. The fee buys time on a supercomputer, with each response varying in computational cost. This means $10 doesn’t guarantee a fixed number of responses, but can allow for one to two hours of conversation. As the time is about to lapse, users are sent a notification and can say their final goodbyes. Several other AI-generated conversational services also charge a fee for use.
Lemma, who has researched the psychological impact of grief bots, says that while she worries about the prospects of them being used outside a therapeutic context, it could be used safely as an adjunct to therapy with a trained professional. Studies around the world are also observing the potential for AI to deliver mental health counselling, particularly through individualised conversational tools.
Are Such Tools Unnatural?
These services may appear to be straight out of a Black Mirror episode. But supporters of this technology argue that the digital age is simply ushering in new ways of preserving life stories, and potentially filling a void left by the erosion of traditional family storytelling practices.
“In the olden days, if a parent knew they were dying, they would leave boxes full of things that they might want to pass on to a child or a book,” said Lemma. “So, this might be the 21st-century version of that, which is then passed on and is created by the parents in anticipation of their passing.”
LoCasio at Eternos agrees.
“The ability for a human to tell the stories of their life, and pass those along to their friends and family, is actually the most natural thing,” he said.
Are AI Resurrection Services Safe and Private?
Experts and studies alike have expressed concerns that such services may fail to keep data private. Personal information or data such as text messages shared with these services could potentially be accessed by third parties. Even if a firm says it will keep data private when someone first signs up, common revisions to terms and conditions, as well as possible changes in company ownership mean that privacy cannot be guaranteed, cautioned Renee Richardson Gosline, senior lecturer at the MIT Sloan School of Management.
Both Rohrer and LoCasio insisted that privacy was at the heart of their projects. Rohrer can only view conversations when users file a customer support request, while LoCasio’s Eternos limits access to the digital legacy to authorised relatives. However, both agreed that such concerns could potentially manifest in the case of tech giants or for-profit companies.
One big worry is that companies may use AI resurrections to customise how they market themselves to users. An advertisement in the voice of a loved one, a nudge for a product in their text.
“When you’re doing that with people who are vulnerable, what you’ve created is a pseudo-endorsement based on someone who never agreed to do such a thing. So it really is a problem with regard to agency and asymmetry of power,” said Gosline.
Are There Any Other Concerns Over AI Chatbots?
That these tools are fundamentally catering to a market of people dealing with grief in itself makes them risky, suggested Gosline – especially when Big Tech companies enter the game.
“In a culture of tech companies which is often described as ‘move fast and break things’, we ought to be concerned because what’s typically broken first are the things of the vulnerable people,” said Gosline. “And I’m hard-pressed to think of people who are more vulnerable than those who are grieving.”
Experts have raised concerns about the ethics of creating a digital resurrection of the dead, particularly in cases where they have not consented to it and users feed AI the data. The environmental impact of AI-powered tools and chatbots is also a growing concern, particularly when involving large language models (LLMs) – systems trained to understand and generate human-like text, which power applications like chatbots.
These systems need giant data centres that emit high levels of carbon and use large volumes of water for cooling, in addition to creating e-waste due to frequent hardware upgrades. A report in early July from Google showed that the company was far behind its ambitious net-zero goals, owing to the demand AI was putting on its data centres.
Gosline said that she understands that there is no perfect programme and that many users of such AI chatbots would do anything to reconnect with a deceased loved one. But it’s on leaders and scientists to be more thoughtful about the kind of world they want to create, she said. Fundamentally, she said, they need to ask themselves one question:
“Do we need this?”
Final Thoughts: The Future of AI and Grief
As AI continues to evolve, so too will its applications in helping people cope with grief. While the technology offers unprecedented opportunities for connection and closure, it also raises significant ethical, psychological, and environmental concerns. It is crucial for developers and users alike to approach these tools with caution and consideration, ensuring that they are used in ways that truly benefit those who are grieving.
Comment and Share:
What do you think about the future of AI and its role in helping people cope with grief? Have you or someone you know used AI to connect with a lost loved one? Share your experiences and thoughts in the comments below. And don’t forget to subscribe for updates on AI and AGI developments.
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Why AI Skills Will Be Non-Negotiable in 2025
AI skills will be non-negotiable in 2025, transforming industries and reshaping job roles. Learn essential AI skills and their applications to future-proof your career.
TL/DR: Understanding and developing AI skills in 2025 will be crucial for staying competitive in the future job market.
- AI skills are becoming essential for professionals across all industries by 2025.
- Key AI skills include data literacy, prompt engineering, machine learning fundamentals, AI ethics, and workflow automation.
- Professionals can start learning AI skills through online platforms, local certification programs, meetups, and on-the-job training.
Artificial intelligence is no longer just a buzzword—it’s a transformative force reshaping industries, redefining job roles, and creating entirely new fields of work. AI’s impact is undeniable across a wide spectrum of sectors, from finance and healthcare to marketing and logistics. In this rapidly evolving environment, AI skills have shifted from being a “nice-to-have” to an essential component of a future-ready career.
For professionals in every field, staying relevant means understanding AI and developing skills that allow them to leverage its potential effectively. The AI skill set encompasses more than just technical programming; it involves understanding data, ethical considerations, and integrating AI into daily tasks. In 2025, gaining proficiency in AI won’t just enhance your career prospects—it will future-proof them.
Here’s a comprehensive guide to the critical AI skills you need, their applications, and how to start building your AI knowledge.
The New Essential Skills for 2025
To thrive in a world where AI underpins most industries, it’s crucial to focus on a range of AI-related skills. While not everyone needs to be an AI developer, there are several accessible, practical skills that professionals across roles can benefit from:
Data Literacy and Visualisation
AI’s power lies in its ability to process and interpret massive volumes of data. Professionals who understand how to collect, analyse, and interpret data are better equipped to work alongside AI. Data literacy extends beyond basic analytics—it includes knowing how to use data visualisation tools like Tableau or Power BI to present AI-generated insights in a meaningful way.
Prompt Engineering
With the proliferation of language models, from ChatGPT to other AI-driven assistants, prompt engineering has become a unique and increasingly valuable skill. Knowing how to craft effective prompts can dramatically improve the quality of AI-generated outputs, allowing professionals to use AI more effectively in roles like content creation, customer support, and market analysis.
This prompt is designed to extract valuable insights from AI models, helping professionals understand the future landscape of AI in healthcare and how it might impact their roles:
Prompt: “Generate a list of top 10 AI trends in 2025 and their potential impact on the healthcare industry.”
Machine Learning Fundamentals
While deep expertise in machine learning isn’t necessary for most professionals, a foundational understanding is beneficial. Concepts like supervised vs. unsupervised learning, predictive analytics, and data training empower professionals to engage with AI projects and collaborate with data science teams more effectively.
AI Ethics, Privacy, and Compliance
As AI’s capabilities grow, so do ethical considerations around its use. Knowing how to navigate privacy concerns, data biases, and ethical decision-making is essential, especially for professionals handling sensitive data or working in regulated industries. Familiarity with data protection regulations, such as GDPR in Europe or PDPA in Singapore, is crucial for responsible AI deployment.
Workflow Automation and RPA (Robotic Process Automation)
Automation is reshaping roles across all sectors. RPA tools like UiPath and Blue Prism enable professionals to automate routine tasks, improving efficiency and allowing them to focus on strategic work. Mastery of RPA and other automation platforms can make professionals indispensable, as they help organisations streamline processes and reduce operational costs.
AI-Enhanced Decision-Making
AI is at its most valuable when it augments human decision-making. Developing skills in interpreting AI-driven insights and understanding their implications in a business context is crucial. This includes knowing when to trust AI predictions, how to assess accuracy, and integrating AI into strategic planning and forecasting.
Examples of AI Skill Applications Across Industries
AI’s influence is not confined to the tech sector; it’s reshaping roles across all industries. Here’s a look at how AI skills are transforming various fields and what it means for professionals:
Marketing and Sales
AI has become central to personalising customer experiences and optimising campaigns. Marketers use AI-driven analytics to segment audiences and tailor content, increasing engagement and conversion rates. Sales teams leverage AI to score leads, predict customer needs, and refine sales strategies. Familiarity with AI tools like Salesforce’s Einstein or HubSpot’s AI recommendations is becoming a must for anyone in these roles.
Healthcare and Life Sciences
AI is revolutionising patient care and diagnostics. Professionals in these fields are increasingly relying on AI to interpret medical data, identify risk factors, and support diagnostic processes. For example, AI systems can detect anomalies in imaging scans, giving healthcare workers valuable support in diagnosing diseases early. Knowledge of AI-powered diagnostic tools and an understanding of medical data privacy regulations (e.g., HIPAA in the U.S.) are essential for healthcare professionals.
Finance and Banking
AI is being used to detect fraud, assess credit risk, and automate trading processes. Financial professionals are expected to understand how to interpret AI-driven risk assessments and leverage predictive analytics for real-time decision-making. Skills in Python for financial data analysis, machine learning for predictive insights, and an understanding of ethical data use in finance are key.
Customer Service and Support
AI is reshaping customer service with chatbots, virtual assistants, and sentiment analysis. Prompt engineering skills help support agents get the most out of AI tools, crafting responses that align with customer needs. AI can analyse customer sentiment in real time, enabling support agents to address concerns proactively and enhance customer satisfaction.
Human Resources and Recruitment
HR professionals are turning to AI for more efficient recruitment and employee engagement. AI can screen resumes, identify high-potential candidates, and even monitor employee satisfaction through sentiment analysis. Understanding AI-driven recruitment platforms like Lever and Workday and being aware of data privacy in employee data handling can significantly boost an HR professional’s effectiveness.
How to Start Learning AI Skills in Asia
With AI skills in such high demand, the opportunities to acquire them are more accessible than ever. Here are some steps for getting started, with a focus on resources and programs in Asia:
Online Learning Platforms
Coursera, edX, and Udacity provide AI courses that range from beginner to advanced levels, often in partnership with universities like the National University of Singapore, Tsinghua University, and Indian Institute of Technology. These courses cover machine learning basics, data analytics, and AI ethics, providing a comprehensive starting point for learners.
Local Certification Programs and Workshops
Several organisations in Asia offer in-person workshops and certification programs. The SQREEM Symposium in Singapore, for example, offers hands-on training in AI tools and automation. These sessions are invaluable for gaining practical, regionally relevant experience and connecting with industry professionals.
Meetups and Professional Networks
AI-focused meetups and professional networks, like those on Meetup or LinkedIn, offer valuable opportunities for community learning. Being part of groups dedicated to AI allows professionals to discuss emerging trends, exchange tips, and stay motivated.
On-the-Job Training and Upskilling Programs
Many organisations are now providing in-house AI training for employees, recognising the importance of AI proficiency. Professionals should seek out these opportunities and take advantage of company-sponsored courses to develop skills directly applicable to their roles.
Self-Led Exploration
AI tools are often freely accessible or available at low cost, making it easier for professionals to experiment. Tools like ChatGPT, Google Colab, and data visualisation platforms (e.g., Power BI) allow individuals to apply their learning in real-world contexts. Building side projects or taking on small AI-driven tasks can boost confidence and practical skills.
The Future of Work: AI’s Role in Career Development
Looking forward, the impact of AI on career development will only grow. In 2025 and beyond, professionals will need not only to understand AI tools but also to adapt to an environment where AI is an integral part of strategic planning and operations. Here’s how AI will influence the future of work:
Increased Emphasis on Hybrid Skills
As AI handles routine tasks, human skills like creativity, problem-solving, and critical thinking will be in greater demand. Professionals who blend technical AI skills with strong interpersonal abilities will stand out.
Lifelong Learning Culture with AI Education
The AI landscape evolves rapidly, and continuous learning will be crucial to stay current. Professionals should prioritise ongoing skill development to keep up with new AI technologies, tools, and industry applications.
Greater Collaboration with AI Systems
In 2025, most jobs will involve working closely with AI systems. Professionals should embrace this collaboration, seeing AI as a partner that enhances their abilities rather than a competitor.
Building a Future-Proof Career in the Age of AI
As 2025 unfolds, AI will continue to redefine industries and reshape the professional landscape. Building a future-proof career means investing in AI skills that make you adaptable, resourceful, and prepared for the opportunities AI brings. Whether it’s data literacy, machine learning, or workflow automation, AI skills equip you to drive value in your role, make informed decisions, and remain competitive.
The journey to AI fluency may seem daunting, but even small steps can lead to substantial rewards. Start by mastering one skill, such as prompt engineering or data literacy, and gradually expand your expertise. In the age of AI, adaptability and curiosity are your most valuable assets. Embrace them, and you’ll be well-positioned to not only survive but thrive in the workforce of the future.
Join the Conversation
What AI skills are you most excited to learn and why? Share your thoughts and experiences below, and don’t forget to subscribe for updates on AI and AGI developments. Subscribe here to stay informed and engaged!
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Mastering the Art of AI Prompts for Everyday Requests
Mastering the art of AI prompts can transform general responses into personalised, useful answers. Learn how to refine prompts step-by-step for tailored AI outputs.
TL/DR:
- Crafting effective AI prompts can transform general responses into personalised, useful answers.
- By refining prompts step-by-step, users can tailor AI outputs to meet specific dietary, budget, and seasonal requirements.
- Including preferences, budget constraints, nutritional focus, recipe suggestions, and seasonal ingredients enhances the relevance and practicality of AI-generated grocery lists.
Asking AI the ‘right’ question can yield powerful, personalised answers. But crafting an effective prompt is a skill—one that can transform a general response into something tailored and useful for your unique needs.
In this guide, we’ll walk through building a prompt step-by-step, using a single everyday task—planning a weekly grocery list—and show you how to go from a simple request to a highly specific list that meets dietary, budget, and even seasonal requirements.
Ready to get the most out of your prompts? Let’s dive in.
Starting Simple
Sometimes, you just want a basic grocery list. Here’s how to start with a simple prompt.
Prompt Example: “Create a grocery list for a family of four with basic ingredients for breakfast, lunch, and dinner.”
What It Does: This basic prompt gives you a standard list. You’ll likely get staple items like eggs, bread, milk, and vegetables for three meals a day, but without much customisation.
Adding Preferences
To make the list more relevant, try including your family’s dietary preferences. Here’s an example with a vegetarian twist.
Prompt Example: “Create a grocery list for a family of four, focusing on vegetarian options for breakfast, lunch, and dinner.”
What It Does: By specifying “vegetarian,” the AI will provide plant-based ingredients, such as beans, lentils, and vegetables, catering to a meat-free diet. This makes the list more aligned with specific lifestyle choices.
Incorporating a Budget
Budget constraints? Let’s factor that in to make the list realistic and wallet-friendly.
Prompt Example: “Create a grocery list for a family of four, with vegetarian options for breakfast, lunch, and dinner, keeping it under $100.”
What It Does: With a budget cap, the AI can adjust portion sizes or prioritise cost-effective ingredients, such as bulk grains or frozen vegetables, to stay within the set limit. This way, you’re not overspending while keeping meals covered for the week.
Adding a Nutritional Focus
To make your grocery list even more valuable, you can add specific nutritional goals, such as high-protein options.
Prompt Example: “Create a grocery list for a family of four, vegetarian meals for breakfast, lunch, and dinner, under $100, prioritising high-protein foods and fresh produce.”
What It Does: Adding a nutritional focus means the AI will include high-protein items, like tofu, quinoa, and chickpeas, while balancing fresh fruits and vegetables. It ensures your family gets the protein they need on a budget.
Including Recipe Suggestions
What if you’d like a little cooking guidance along with the list? Adding recipes can make meal prep a breeze.
Prompt Example: “Create a grocery list for a family of four, with vegetarian meals for breakfast, lunch, and dinner, under $100, focusing on high-protein foods and fresh produce. Include a simple recipe idea for each meal.”
What It Does: With this prompt, the AI can suggest recipes like “Chickpea Salad Wrap” for lunch and “Quinoa Stir-Fry” for dinner. Each meal includes ingredients that are already on the list, so everything is efficiently planned and ready to go.
Enhancing with Seasonal Ingredients
Want your groceries to be sustainable and fresh? Adding a seasonal focus can make all the difference.
Prompt Example: “Create a grocery list for a family of four, vegetarian meals under $100, high-protein with fresh, seasonal produce for November. Include one recipe idea per meal.”
What It Does: This final layer makes the list practical and eco-friendly, focusing on produce like pumpkins, sweet potatoes, and greens that are in season in November. Seasonality ensures freshness, better prices, and sometimes even a tastier meal!
Building Effective Prompts for Everyday Life
As you can see, with each step, your prompt becomes more refined and powerful. By layering in preferences, budget, nutrition, recipe ideas, and seasonality, you create a prompt that meets your needs precisely. Try experimenting with your own prompts and discover how a well-crafted question can unlock the full potential of AI for your everyday life. Whether you’re meal-planning, organising, or budgeting, building your prompts thoughtfully makes the AI experience more rewarding and relevant.
Happy prompt-crafting!
Join the conversation
What are your favourite AI prompts for everyday tasks? Share your tips and tricks in the comments below! And don’t forget to subscribe for updates on AI and AGI developments here. We’d love to hear your thoughts on how AI is transforming your daily life!
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Adrian’s Arena: AI and the Global Shift – What Trump’s 2024 Victory Means for AI in Asia
With Trump’s 2024 re-election, Asian nations might push for self-reliant AI ecosystems, regional partnerships, and stronger privacy standards.
TL;DR
- Donald Trump’s 2024 presidential win could reshape AI development in Asia by prompting self-reliant AI ecosystems, more regional partnerships, and increased privacy standards.
- Asian nations may accelerate AI innovation and talent development to reduce reliance on U.S. tech, particularly as they anticipate shifts due to this result.
- Asian companies are positioned to thrive, offering privacy-compliant, localised AI insights that align with Asia’s unique market dynamics during this new Trump era.
What now for AI?
The re-election of Donald Trump to the U.S. presidency is sure to have profound global impacts, particularly in areas like artificial intelligence (AI). In Asia, where AI adoption is already soaring, Trump’s approach to foreign policy, technology, and economic partnerships may drive significant shifts in both public and private AI ventures. This focus includes Donald Trump’s 2024 election win and subsequent implications on AI in various sectors.
This article explores how the changing political landscape could reshape AI in Asia and how businesses are poised to navigate and leverage these shifts.
AI Regulation and Innovation: A Push for Autonomy
Trump’s leadership may spur a greater focus on AI autonomy in Asia, encouraging countries to develop homegrown AI solutions across various industries. For example, healthcare data analytics in Singapore, fintech solutions in India, and consumer insights platforms in Japan could see accelerated development as these nations prioritise self-reliance.
Trade Policies and Tech Partnerships: Redrawing Lines
With Trump’s trade policies likely to maintain a “protectionist” edge, tech partnerships across the Pacific may become more complex, leading Asia’s leading economies to bolster regional AI collaborations. This may foster tighter partnerships within Asia, where companies can provide high-impact AI solutions tailored to local consumer behaviours and trends.
Research Funding and Education: A New Wave of Asian Talent
The expected restrictions on U.S. visas for Asian students and researchers could spark a wave of investment in AI education and talent retention across Asia. AI companeis can support this talent surge by offering real-world, Asia-specific AI applications, from data analytics to customer insights and digital advertising.
AI-Powered Defense and Cybersecurity: Strengthening Regional Security
As Asian nations fortify their defences in response to Trump’s renewed focus on military alliances, AI-driven cybersecurity solutions are expected to see considerable growth. AI companies in Asia are poised to address emerging threats with precision and speed.
For instance, Asian technology could support national cybersecurity initiatives by identifying threat patterns in real-time across public data sources, providing governments and enterprises with actionable insights for safeguarding critical infrastructure.
Privacy and Data Ownership: Asia’s Standards vs. the U.S. Approach
Asia’s data governance standards are set to diverge further from those in the U.S., especially with Trump’s preference for lighter tech regulation. This shift aligns with ad tech’s approach to delivering privacy-compliant audience insights, offering Asia-based companies a way to engage their customers effectively without compromising data security.
Impact on the AI Talent Pipeline: Challenges and Opportunities
Trump’s immigration policies could impact the AI talent pipeline to the U.S., pushing many skilled AI professionals to remain in Asia. Companies can leverage this shift by tapping into local AI talent for projects that require regional expertise, particularly in the Donald Trump 2024 election AI context.
As a result, Asian companies and their partners can benefit from deeper market understanding, making their campaigns more impactful across Asia.
A Shift Towards Pan-Asian AI Standards
With Trump’s policies creating a potential divide in AI development approaches, Asian countries may push for unified AI standards within the region. By aligning AI governance across economies, Asia could build a formidable framework that encourages innovation while ensuring ethical usage and robust privacy protections.
This alignment would also reduce friction for companies operating across multiple Asian markets, fostering an interconnected ecosystem that accelerates growth and adaptability.
The Rise of Localised AI Applications
As trade and regulatory landscapes shift, there’s an increased incentive for Asian companies to design AI solutions that cater to local languages, cultural nuances, and consumer behaviours. Localisation has always been a critical factor for success in Asia, and AI is no exception.
From natural language processing that understands regional dialects to AI-driven marketing insights that resonate with unique consumer mindsets, tailored AI applications could see a significant boost.
Conclusion: A New Era for AI in Asia
The Trump presidency may catalyse a new chapter for AI in Asia. As Asian nations brace for potential shifts in trade and technology policies, they are well-positioned to accelerate regional AI innovation, self-sufficiency, and collaboration.
While the future may be uncertain under a second new era of Trump, we know at least it won’t be boring for the AI industry!
Join the Conversation
As AI in Asia surges towards autonomy and privacy-first innovation, will Trump’s policies drive the region to outperform the U.S. in tech advancements? Or are we on the cusp of a global AI divide? Please share your thoughts and don’t forget to subscribe for updates on AI and AGI developments.
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- AI Chatbots Struggle with Real-Time Political News
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- Read more about Trump’s impact on AI at our good friends The Diplomat
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