What Will AI Be Like in 10 Years?

Artificial Intelligence (AI) has already changed how we live, work, and think. But what happens when we fast-forward ten years? By 2035, AI is expected to be vastly more powerful, integrated, and influential across every aspect of society. Experts from leading universities, research labs, and industry giants agree: we are heading toward a future where AI isn't just a tool but a ubiquitous layer of intelligence embedded into our environment, decisions, and even our biology.

We explore expert predictions, technological advancements, opportunities, and risks associated with the next decade of AI. Whether you're a curious reader, business leader, student, or policymaker, this guide will help you understand what's coming—and how to prepare.

The State of AI in 2025

Before we can envision where artificial intelligence is headed by 2035, it' s essential to understand where the technology stands today in 2025. In many ways, AI has already transformed the way we live, work, and interact with the world around us. It is no longer an experimental or fringe innovation reserved for labs and tech giants—AI is now a part of daily life for millions of people.

One of the most visible manifestations of AI in 2025 is through generative tools such as ChatGPT by OpenAI, Claude by Anthropic, and Gemini by Google DeepMind. Thesetools have ushered in a new era of productivity and creativity. Whether it’s drafting emails, writing code, generating marketing content, or even composing music and artwork, these AI systems are widely used across industries and educational settings. They offer conversational fluency, contextual awareness, and increasingly nuanced outputs that have made them essential companions for students, professionals, and creators alike.

AI is also making inroads into transportation through autonomous vehicles. Although widespread self-driving remains a work in progress, pilot programs are operational in several cities worldwide. These vehicles use a combination of computer vision, lidar, and neural networks to navigate urban environments, detect hazards, and make real-time decisions. While safety, regulation, and scalability challenges remain, autonomous driving has proven its feasibility and is expected to grow rapidly over the next decade.

In healthcare, AI diagnostics have become commonplace in clinical settings. Machine learning models assist d octors by analyzing medical images, interpreting lab results, and identifying patterns in patient data that might otherwise go unnoticed. For example, AI can now detect certain types of cancer, eye diseases, or heart conditions with accuracy that rivals or exceeds human specialists. These tools support faster diagnoses, improved patient outcomes, and more personalized treatment plans.

Education is another frontier where AI is making significant impact. Smart tutors and adaptive learning platforms tailor lessons to individual learning styles, helping students progress at their own pace. These systems can identify when a student is struggling and dynamically adjust the content or suggest additional resources. For teachers, AI assists with grading, lesson planning, and classroom engagement strategies.

On the home front, smart assistants like Alexa, Google Assistant, and Siri have evolved into multi-modal household managers, controlling IoT-enabled devices, offering proactive reminders, and learning from household routines. Smart homes now include AI-controlled lighting, climate, security, and even wellness monitoring.

In terms of accessibility, real-time translation and voice recognition systems powered by AI are bridging language barriers and enabling new forms of communication for people with disabilities. Tools that transcribe speech, convert sign language to text, and provide auditory navigation assistance are expanding inclusion and autonomy for millions.

Despite these advancements, it’s important to recognize that the majority of current AI systems fall into the category of narrow AI. This me ans they are designed to perform specific tasks within defined boundaries. While they may perform these tasks extremely well, they lack the broader understanding, general reasoning, and self-awareness that characterize human intelligence. They cannot transfer knowledge between unrelated domains or engage in abstract thought the way a human can. As we move toward 2035, the transition from narrow AI to more generalized forms of intelligence will become one of the central challenges and milestones in AI development.

What Will AI Be Capable of by 2035?

Looking ahead to the next decade, the capabilities of artificial intelligence are expected to grow dramatically, pushing far beyond today's narrow use cases. According to leading researchers and futurists, AI by 2035 will no longer be limited to domain-specific tools. Instead, it will be deeply integrated into every aspect of society—from how we work and learn, to how we heal, move, and communicate. Below are five major areas where AI is predicted to make transformational leaps.

1. Artificial General Intelligence (AGI)

AGI represents the holy grail of artificial intelligence: machines that can perform any intellectual task a human can do. Unlike today's narrow AI systems, AGI would possess broad cognitive capabilities, such as abstract reasoning, flexible learning, and the ability to transfer knowledge between unrelated tasks.

Though AGI is still hypothetical and a subject of debate, some technologists and AI labs believe it could be achieved before 2035. Early signs of AGI-like behavior are already emerging in large language models that can reason, plan, and adapt their responses based on limited input. If AGI is realized, it would allow robots and software systems to learn entirely new tasks without retraining, engage in meaningful dialogue, and solve complex, cross-domain problems alongside humans.

Such a development would fundamentally change the nature of work, creativity, education, and even consciousness itself—raising profound ethical, philosophical, and existential questions that society must prepare to address.

2. Human-AI Collaboration

By 2035, AI won't just work for us—it will work with us. The future points toward highly integrated human-AI partnerships, where intelligent systems serve as co-pilots across countless professions.

Doctors will consult AI systems to sift through patient histories, medical research, and genetic data to suggest diagnoses and treatment plans tailored to the individual. AI will become a diagnostic and decision-making companion that enhances, rather than replaces, human judgment.

Writers, artists, and musicians will engage in creative dialogue with AI tools. Rather than simply producing content, these tools will act as collaborators that suggest styles, rhythms, structures, or ideas based on the creator’s intent. AI-generated media will be part of a seamless, iterative creative process.

Engineers and architects will design structures, machines, and software with the support of AI-powered simulations that account for material science, environmental data, and human ergonomics. These collaborative systems will speed up prototyping and unlock new design possibilities.

Human-AI collaboration will amplify our natural abilities, enabling us to think more clearly, work more efficiently, and create more imaginatively.

3. Hyper-Personalization

The concept of personalization will be taken to new heights. In marketing, education, healthcare, and entertainment, AI will fine-tune experiences at an individual level, constantly adapting in real time.

Imagine streaming platforms that not only know your favorite genres but can generate custom shows based on your emotional state or time of day. In education, every student could receive a completely tailored learning path, with AI tutors that understand their knowledge gaps, learning preferences, and motivational triggers.

Healthcare will see preventive models based on a person’s lifestyle, genetics, and biomarkers. AI will track real-time data from wearables and suggest lifestyle changes or medication adjustments before symptoms even arise. The result will be smarter, more anticipatory systems that feel intuitively aligned with each user's goals and context.

4. Embodied AI

While today’s AI mostly exists in software form, the next decade will witness a surge in embodied AI—physical robots and devices embedded with intelligence. These systems will be able to interact with the real world autonomously and safely.

We will see widespread use of drones and delivery bots in urban logistics, capable of navigating unpredictable terrain and reacting to dynamic obstacles. In elder care and physical rehabilitation, AI-driven exoskeletons and assistive robots will help individuals regain mobility or live independently.

Smart appliances and home assistants will evolve into multi-functional companions, capable of performing complex tasks like cooking, cleaning, elder support, and emergency response. Embodied AI will blur the line between machines and helpers, becoming trusted extensions of our physical environment.

5. Brain-Computer Interfaces (BCIs)

Perhaps one of the most revolutionary advancements anticipated by 2035 is the convergence of AI and neuroscience through brain-computer interfaces. Companies like Neuralink and Synchron are already working on ways to link the human brain directly to digital systems.

In their early stages, BCIs have shown promise in restoring motor functions and communication abilities for people with paralysis. But the future holds even more transformative possibilities: direct brain-to-text communication, memory enhancement, augmented cognition, and even emotional regulation.

AI-powered BCIs could one day allow users to search the web or write documents simply by thinking. This would redefine human-computer interaction, bypassing keyboards, screens, and voice assistants altogether. The implications for accessibility, education, and productivity are vast—as are the ethical concerns surrounding privacy, consent, and identity.

In summary, AI by 2035 is poised to be exponentially more powerful, more embedded, and more human-facing than anything we have today. From creative co-authors to robotic caretakers, from hyper-personalized health insights to direct neural integration, the next decade of AI development promises to reshape the human experience in unprecedented ways.

Companies like Neuralink aim to connect AI directly to the human brain. This could enable direct thought-to-text communication, memory augmentation, and new forms of accessibility.

AI and the Future of Work

The rise of AI is reshaping the global labor market at an accelerating pace. While fears of widespread job loss often dominate headlines, the reality is more complex. AI will indeed automate many routine tasks, but it will also create new types of work, redefine existing roles, and spark debates about how societies support their workforce. By 2035, the way we work will be transformed in both practical and philosophical terms.

1. Automation of Routine Tasks

One of the most immediate and visible impacts of AI will be the continued automation of repetitive, rules-based tasks. Administrative duties like scheduling meetings, processing invoices, managing inventories, and handling basic customer service queries will largely be performed by intelligent systems. Chatbots, digital assistants, and robotic process automation (RPA) will be so advanced by 2035 tha t many clerical roles may become obsolete.

In the physical realm, AI-driven robots will dominate environments such as warehouses, assembly lines, farms, and even construction sites. These machines will be equipped with advanced sensors, mobility, and contextual understanding to carry out manual labor previously dependent on human dexterity. Agricultural bots will plant, harvest, and monitor crops with higher precision than ever before, while warehouse fleets will handle goods 24/7 without fatigue or error.

This automation promises increased productivity and lower costs, but it also raises critical questions about how displaced workers will transition into new roles.

2. Emergence of New Jobs

Despite concerns about job loss, AI will also create entirely new categories of employment. Many of these roles will revolve around the development, monitoring, and ethical oversight of AI systems. For example, demand for AI ethicists, algorithm auditors, prompt engineers, and AI trainers will growas businesses seek to ensure their systems remain safe, fair, and transparent.

Moreover, rather than replacing all human jobs, AI will often augment them—leading to the rise of "human+AI" hybrid professions. In journalism, AI might help gather facts and detect trends, while human reporters focus on analysis and storytelling. In marketing, AI will crunch data, but creatives will shape brand narratives. Even in fields like law or medicine, professionals will collaborate with AI to sift through legal precedent or medical records, improving efficiency and decision quality.

These changes will require a workforce skilled in human strengths that AI cannot easily replicate: creativity, emotional intelligence, critical thinking, and cultural awareness.

3. Job Displacement

Nevertheless, job displacement is inevitable in certain sectors. Roles that rely heavily on routine interactions, such as telemarketing, basic retail, entry-level accounting, and transportation, are particularly vulnerable. Autonomous vehicles may reduce demand for drivers, while AI-powered kiosks and e-commerce systems may replace cashiers and stock clerks.

This shift will demand massive investment in reskilling and upskilling initiatives. Governments, universities, and private companies must collaborate to provide accessible training programs, especially for mid-career workers who face job disruption. Digital literacy, technical adaptability, and lifelong learning will become the new cornerstones of career resilience.

Failing to prepare for this transition could exacerbate social inequality and lead to widespread economic insecurity.

4. Universal Basic Income?

As automation replaces a growing share of traditional jobs, policymakers are increasingly discussing Universal Basic Income (UBI) as a potential solution. UB I refers to the unconditional distribution of regular income to all citizens, regardless of employment status. The idea is to provide a financial safety net that allows individuals to pursue education, caregiving, entrepreneurship, or part-time work without fear of destitution.

Several pilot programs around the world have tested UBI with mixed but insightful results. By 2035, countries experiencing high levels of AI-driven job loss may turn to UBI as part of their economic strategy.

One proposed funding mechanism involves the taxation of AI systems and highly automated enterprises. Under this model, companies benefiting from labor displacement would contribute to a social fund supporting displaced workers and vulnerable populations.

Whether UBI becomes mainstream or remains experimental, it will be a key topic of global discussion as societies adapt to the economic realities of an AI-driven future.

AI in Everyday Life

By 2035, artificial intelligence is expected to be woven seamlessly into the fabric of daily existence, making homes, cities, and communities not only more efficient but also more responsive to individual needs and preferences. One of the most profound areas of transformation will be smart cities. Urban centers will rely on AI systems to manage everything from traffic flow and energy consumption to emergency services and waste management. Imagine a city where AI monitors real-time traffic conditions and dynamically adjusts signals to reduce congestion, reroutes public transit in response to demand surges, and dispatches drones to inspect infrastructure or deliver supplies during natural disasters. Citizens will interact with city services through natural language interfaces—simply asking questions or reporting issues via voice assistants built into public kiosks or their smartphones.

Healthcare will be almost unrecognizable compared to 2025. Preventive care will become the default model, with AI analyzing genetic data, lifestyle patterns, and biometrics to identify potential health risks long before symptoms appear. Wearable devices and implanted sensors will continuously monitor vital signs, and virtual diagnostic tools will allow patients to consult AI-powered medical advisors from home. In many cases, AI will generate preliminary diagnoses and recommend treatments in real time, while human physicians provide oversight and handle complex decision-making. Genetic analysis will be routine, enabling personalized therapies tailored to an individual’s unique biology.

Education will undergo a similar revolution. Adaptive learning platforms will be the norm rather th an the exception. Every student, regardless of age or background, will have access to a personalized curriculum that evolves based on their progress, strengths, and challenges. These AI systems will analyze performance data minute by minute, adjusting lesson plans to maximize engagement and retention. Meanwhile, AI tutors—available 24/7—will help with assignments, explain concepts, and even simulate interactive lab experiments. For teachers, AI will serve as a powerful partner, automating grading, generating materials, and identifying students who need extra support.

In the home, AI will quietly orchestrate the rhythm of daily life. Personal assistants will manage family schedules, optimize grocery shopping based on dietary preferences and health goals, and recommend recipes that balance taste, nutrition, and budget. Smart appliances will communicate with each other to ensure meals are prepared on time, and energy use stays efficient. AI-powered monitoring systems will keep an eye on the wellness of household members, detecting subtle changes in behavior or health markers that could signal problems. Even children’s learning will be enhanced by interactive AI tutors that can read aloud, quiz them on new topics, or help them explore creative projects.

Perhaps most striking, smart homes themselves will become almost self-maintaining. Climate control, lighting, and security will adjust automatically, anticipating residents’ needs and preferences without requiring manual input. AI will even handle routine maintenance by monitoring appliances for wear and arranging repairs proactively. For families caring for older relatives, AI-enabled devices will provide peace of mind by offering reminders, tracking medication adherence, and alerting caregivers in emergencies.

Overall, by 2035, the boundary between technology and everyday life will have blurred almost completely. AI will no longer feel like a tool you switch on—it will be an invisible layer of intelligence that anticipates, guides, and supports nearly every aspect of daily living.

AI Policy and Global Cooperation

As artificial intelligence continues to evolve at breakneck speed, the question is no longer whether it will impact global society—but how we will govern it. By 2035, AI is expected to be so deeply embedded in economics, infrastructure, defense, and communication that international policy and collaboration will become not just helpful, but essential. The choices made by governments, international organizations, and private-sector leaders over the next decade will shape the global balance of power, the ethical landscape of innovation, and the future of fundamental human rights.

1. International AI Regulation

By 2035, artificial intelligence will likely be governed by a complex web of international agreements, digital charters, and regulatory frameworks. Much like nuclear energy or climate change, the scope and impact of AI will transcend national borders. Because algorithms developed in one country can influence politics, healthcare, and markets halfway around the world, nations will be increasingly incentivized to coordinate rather than compete in isolation.

Global AI regulation could take the form of a digital Geneva Convention—establishing baseline standards for responsible development, deployment, and transparency. Such agreements may dictate how algorithms are audited, how data is protected, how accountability is assigned in autonomous systems, and how global AI safety research is funded and shared.

The leadership of this regulatory landscape is likely to come from the world’s AI superpowers: the European Union, the United States, and China. The EU has already led the way with its AI Act, emphasizing human rights, explainability, and fairness. The U.S., with its innovation-driven market approach, is balancing commercial freedom with increasing calls for ethical guardrails. China, meanwhile, has emphasized centralized governance, prioritizing control, surveillance, and strategic dominance. For a global framework to succeed, it must accommodate these differing philosophies while protecting shared interests like public safety, fairness, and global security.

International coalitions such as the OECD, G7, and the newly formed Global Partnership on AI (GPAI) are likely to play expanded ro les, facilitating cooperation, cross-border enforcement, and the inclusion of developing nations in global AI governance.

2. AI in Warfare

One of the most urgent and controversial areas of AI policy is its use in military and cyber operations. By 2035, AI systems will be capable of making life-or-death decisions in combat zones, piloting unmanned drones, detecting cyber intrusions in real time, and managing battlefield logistics without human input. This shift raises profound ethical and strategic concerns.

Autonomous weapons systems (AWS)—machines that can identify, tar get, and attack without human intervention—are already being tested by several military powers. Their proponents argue these systems could reduce casualties and improve precision, but critics warn they open the door to a dangerous arms race and a fundamental erosion of accountability. Who is responsible when an AI drone mistakenly strikes a civilian target? How do we ensure algorithms don’t escalate conflicts based on flawed input?

In response, some nations and NGOs have called for a global ban or moratorium on lethal autonomous weapons. Others advocate for tight regulation, including “human-in-the-loop” or “human-on-the-loop” mandates, where humans must authorize critical decisions made by AI systems. By 2035, we may see international treaties similar to chemical or nuclear weapons agreements—placing limits on how AI can be weaponized.

Additionally, AI’s role in cyberwarfare is growing. Intelligent agents can identify vulnerabilities, deploy malware, and even manipulate public opinion through disinformation campaigns. Global norms around cyber conduct, AI-enabled propaganda, and digital sovereignty will need to evolve rapidly to prevent destabilization and conflict.

3. AI for Global Good

Despite the risks, AI also holds transformative potential for solving some of the world’s most pressing challenges. If developed and applied ethically, artificial intelligence could become a cornerstone of global humanitarian and sustainability efforts.

In the fight against climate change, AI systems will be used to model environmental scenarios, optimize energy grids, and forecast natural disasters. Smart agriculture powered by AI can increase crop yields, monitor soil health, and reduce waste—critical for ensuring food security in a world facing population growth and resource scarcity.

During global health crises, AI may become a frontline tool for detecting pandemics, tracking transmission, accelerating vaccine development, and managing supply chains for medical resources. In underserved regions, AI-driven mobile diagnostics and telemedicine could vastly expand access to healthcare.

AI can also support education in developing countries by providing personalized learning at scale, adapting lessons to local languages, and training a new generation of tech-literate youth. Similarly, AI-driven financial inclusion—through credit modeling, fraud prevention, and mobile banking—can help lift millions out of poverty.

However, for AI to truly serve the global good, access must be equitable. Without proactive investment and cross-border partnerships, the AI divide could mirror—and amplify—the existing digital divide. Nations and international organizations must ensure that marginalized communities and low-income countries are not left behind in the AI revolution.

How to Prepare for the Future of AI

The accelerating pace of artificial intelligence development presents both unprecedented opportunities and complex challenges. While it’s tempting to focus solely on the capabilities of future AI systems, preparation is equally crucial. How individuals, businesses, and governments adapt over the next decade will determine whether AI becomes a tool of empowerment or a source of disruption. Preparing effectively means not only keeping up with technology—but also understanding its implications, cultivating resilience, and building inclusive strategies.

For Individuals

In the AI-powered world of 2035, individuals who thrive will be those who understand how to work with intelligent systems—not compete against them. This doesn’t require a computer science degree, but it does demand a mindset of continuous learning and adaptability.

1. Learn to use AI tools effectively.

Just as computer literacy became essential in the 1990s, AI literacy is the new baseline. Everyday tools like ChatGPT, Notion AI, and Canva Magic Studio are just the begi nning. By learning to prompt effectively, evaluate outputs critically, and integrate AI into personal workflows—whether for research, creativity, or productivity—individuals can gain a significant edge in any field.

2. Build digital, creative, and critical thinking skills.

While AI will automate many tasks, it cannot replace uniquely human strengths. Skills like creative problem-solving, emotional intelligence, interdisciplinary thinking, and ethical reasoning will be more valuable than ever. Understanding the “why” behind decisions, not just the “how,” will set people apart.

3. Stay informed about AI trends and ethics.

Technological awareness must go hand-in-hand with ethical awareness. Individuals should make an effort to understand how AI affects privacy, bias, employment, and democracy. Following trusted sources, participating in community discussions, and advocating for responsible use of AI in schools and workplaces will be part of civic engagement in the digital age.

For Businesses

For companies of all sizes, AI represents both a competitive advantage and a cultural transformation. Business leaders who prepare thoughtfully now will be in a better position to scale, innovate, and retain top talent in the years ahead.

1. Invest in responsible AI integration.

Integrating AI should go beyond cost savings. It requires ethical consideration, transparency, and alignment with long-term goals. Businesses must audit data sources, track AI behavior, and ensure outputs are fair and explainable. Trustworthy AI isn't just good ethics—it’s good business.

2. Prioritize AI training for employees.

AI should augment the workforce, not alienate it. Companies that offer in-house training, AI onboarding, and “human-in-the-loop” design thinking will empower employees to work alongside AI tools effectively. This builds morale, improves adoption, and reduces resistance to change.

3. Plan for augmentation—not just automation.

Rather than asking “What can we eliminate with AI?”, leading businesses ask “What can we enhance?”. Whether it’s improving customer service, accelerating product development, or making smarter supply chain decisions, AI should be seen as a force multiplier—not a replacement engine.

For Policymakers

Governments have a pivotal role to play in shaping how AI impacts societies. Their policies will define whether AI accelerates equality and innovation—or deepens divides and dysfunction.

1. Develop flexible, forward-looking regulation.

AI is evolving too quickly for static rules. Policymakers need adaptive frameworks that anticipate emerging risks (such as synthetic media, algorithmic discrimination, or job displacement) while encouraging innovation. Regulatory sandboxes, real-time audits, and human rights-based frameworks can help bridge this gap.

2. Collaborate internationally on standards.

No single nation can manage AI alone. Coordinated global standards are essential for ensuring safety, compatibility, and fairness—especially in areas like facial recognition, autonomous systems, and cross-border data flows. International cooperation also helps prevent a fragmented “AI Cold War” landscape.

3. Promote AI access in underserved communities.

Without deliberate action, the AI divide could worsen existing social and digital inequalities. Governments must support infrastructure, training, and funding to ensure rural areas, low-income populations, and historically marginalized groups benefit from AI—not fall further behind. AI for all must be more than a slogan—it must be a policy priority.

Conclusion: The Decade That Defines AI

As we stand in 2025 and look toward 2035, one thing is clear: the next ten years will shape the future of artificial intelligence—and with it, the future of humanity itself. This is not a distant theoretical challenge. It is an urgent, present-day responsibility. How we choose to develop, regulate, integrate, and understand AI over this next critical decade will determine whether it becomes a tool of shared progress or a source of unintended disruption.

Artificial intelligence has already begun transforming everything from how we work and learn to how we communicate and govern. By 2035, these systems could be more intelligent, more embedded, and more autonomous than ever before. We may live alongside machines that understand our speech, anticipate our needs, collaborate with us creatively, and make real-world decisions—sometimes without direct human oversight. But what that world looks like depends on us.

If we invest in responsible innovation, AI could accelerate breakthroughs in medicine, education, climate resilience, and social equity. If we prioritize transparency and ethics, it could strengthen democracy and build trust across sectors. If we foster inclusive access and lifelong learning, AI could lift billions into a more connected and empowered global society.

Alternatively, if we treat AI purely as a tool for profit or power—without regard for safety, fairness, or the consequences of scale—we risk creating systems that entrench inequality, manipulate truth, and outpace our ability to govern them. The stakes are not just technological—they are moral, social, and deeply human.

The decisions we make today, in boardrooms, classrooms, legislatures, and homes, will echo for generations. Will we equip our children not just with smart devices, but with the wisdom to question them? Will we build systems that serve the public good, or surrender them to unchecked corporate or political interests? Will we have the foresight to act collectively—or the complacency to let the future happen to us?

In the end, artificial intelligence is neither inherently good nor bad—it is a mirror of the values we embed within it. It will not define our future. We will.

So, stay curious. Stay informed. Learn how AI works, ask tough questions, support inclusive policies, and help shape a technological future grounded in human dignity and shared purpose.

The future isn’t written yet. But it is arriving—faster than we imagine—and what we do in this decade will determine what kind of intelligence, and what kind of society, we leave behind.

Be part of the conversation. Be part of the solution. The next chapter is ours to write.