Technology is moving faster than ever. Smartphones, cloud computing, artificial intelligence and electric vehicles have already changed how people work, communicate, travel and spend their money. But the technologies emerging today could have an even bigger effect over the next few years.

By 2030, some technologies that currently seem experimental could become part of everyday life. Artificial intelligence may move from answering questions to performing tasks independently. Robots could become more common in homes, hospitals and workplaces. New battery designs could make electric vehicles lighter and more efficient, while advances in biotechnology could change how certain diseases are treated.

Not every technology on today’s list will become mainstream by 2030. Some may take much longer, while others could develop in unexpected directions. However, current research and investment suggest that these 10 emerging technologies could significantly influence the way we live by 2030.

1. AI Agents That Can Work for You

Artificial intelligence is already everywhere, but the next major step could be the rise of AI agents.

Traditional AI systems usually respond when a person gives them a prompt. AI agents are designed to go further. They can understand a goal, plan multiple steps and use digital tools to complete tasks.

For example, instead of asking an AI assistant to “find flights to London,” you could eventually tell it:

“Plan my London trip within my budget.”

An agent could potentially compare flights, search for hotels, organize transportation and create an itinerary.

Businesses are already experimenting with agentic AI for customer service, software development, research and administrative work. McKinsey reported in 2026 that the share of large organizations scaling AI agents had increased compared with the previous year.

How this could change everyday life

By 2030, AI assistants could potentially:

• Manage calendars and appointments
• Compare products and prices
• Handle routine paperwork
• Help organize travel
• Monitor household expenses
• Assist with learning
• Automate repetitive office tasks
• Coordinate other AI tools

The important change is that AI could shift from being a tool you operate to a system that performs tasks on your behalf.

2. Humanoid and General-Purpose Robots

Robots have existed for decades, but most industrial robots are designed for specific jobs. The next generation is becoming more flexible.

Humanoid robots are being developed to work in environments designed for humans, including warehouses, factories and potentially homes.

Advances in AI, computer vision, sensors and batteries are making robots increasingly capable of understanding physical environments.

By 2030, robots could become more common in areas such as:

• Manufacturing
• Warehousing
• Healthcare
• Elder care
• Construction
• Agriculture
• Delivery
• Household assistance

The World Economic Forum has identified the convergence of AI, robotics and other technologies as part of a broader shift toward technologies capable of creating real-world impact.

That does not necessarily mean every household will own a humanoid robot by 2030. High costs, safety, reliability and regulation remain major challenges.

But the idea of robots performing useful physical tasks outside traditional factories is becoming increasingly realistic.

3. Brain-Computer Interfaces

One of the most futuristic technologies that could influence the 2030s is the brain-computer interface (BCI).

A BCI creates a communication pathway between brain activity and an external computer system. Instead of using a keyboard, touchscreen or voice, certain systems can interpret neural signals to help control a digital device.

The earliest major applications are likely to focus on healthcare.

For people who have lost the ability to move or communicate normally, BCIs could potentially help control computers, robotic devices or other assistive technologies.

In the longer term, researchers are exploring whether brain-computer interfaces could support new forms of human-computer interaction.

Imagine controlling a cursor or robotic arm through neural signals rather than physical movement.

However, widespread consumer BCIs by 2030 are far from guaranteed. The technology faces difficult scientific, medical, privacy and ethical challenges.

The more realistic possibility is that BCIs become increasingly useful for specific medical applications before becoming mainstream consumer technology.

4. Next-Generation Batteries

Batteries may not sound as exciting as robots or artificial intelligence, but they could be one of the most important technologies of the next decade.

Electric vehicles, smartphones, laptops, renewable-energy storage and AI infrastructure all depend on energy storage.

Today’s lithium-ion batteries continue to improve, but researchers are exploring alternatives and new designs that could provide higher energy density, better safety, lower costs or faster charging.

One particularly interesting development is structural battery composites. Instead of treating the battery as a separate component, these materials can combine structural strength with energy storage.

The World Economic Forum highlighted structural battery composites as an emerging technology with potential applications in electric vehicles and aircraft because reducing weight can improve efficiency.

If these technologies become commercially viable, future vehicles could potentially become lighter while carrying their energy storage within structural components.

Better batteries could also make renewable energy easier to store and electric transportation more practical.

5. Quantum Computing

Quantum computing could eventually change computing in ways that conventional computers cannot easily reproduce.

Traditional computers process information using bits. Quantum computers use quantum bits, or qubits, which operate according to the principles of quantum mechanics.

The goal isn’t to replace your laptop or smartphone. Instead, quantum computers are being developed for specialized problems involving areas such as chemistry, materials science, optimization and cryptography.

The technology is still developing, but progress is accelerating.

For example, IBM’s current roadmap targets increasingly capable quantum systems and has outlined a goal of delivering large-scale fault-tolerant quantum computing around the end of this decade. IBM also says its roadmap is subject to change.

If quantum computing reaches practical large-scale applications, the effects could be significant.

It could help researchers simulate molecules for new medicines, investigate advanced materials and solve certain computational problems that are extremely difficult for conventional systems.

However, quantum computing remains one of the technologies on this list where expectations should be kept realistic. Major technical challenges remain.

6. AI-Powered Healthcare and Personalized Medicine

Healthcare could become significantly more personalized as artificial intelligence, biotechnology and large-scale medical data converge.

Instead of treating patients according to broad categories, future healthcare systems could increasingly use individual information to help determine which treatment is most appropriate.

AI can already assist researchers and healthcare professionals with tasks such as medical-image analysis, drug discovery and data processing.

At the same time, biotechnology is developing new approaches to treating disease.

The World Economic Forum’s 2025 emerging-technology report highlighted engineered living therapeutics, in which modified biological systems could potentially produce therapeutic substances inside the body.

By 2030, advances in AI and biotechnology could contribute to:

• Faster drug discovery
• More personalized treatments
• Better disease detection
• Continuous health monitoring
• More targeted therapies
• New forms of biological treatment

The biggest change may be a shift from simply treating illness after symptoms appear toward detecting risks earlier and tailoring treatments more precisely.

7. Autonomous Vehicles and Smarter Transportation

Self-driving technology has developed considerably, although fully autonomous vehicles everywhere are still a long way from guaranteed.

The technology combines cameras, radar, lidar, artificial intelligence, high-definition maps and other sensors to understand road environments.

By 2030, autonomous transportation may become increasingly visible in controlled environments.

Examples could include:

• Robotaxis in selected cities
• Autonomous delivery vehicles
• Self-driving trucks on specific routes
• Automated warehouse transportation
• Driver-assistance systems in ordinary cars

The most important change may not be completely driverless cars for everyone.

Instead, transportation could gradually become more automated.

Vehicles could handle more driving tasks, communicate with infrastructure and use AI to improve routing and safety.

The timeline will vary dramatically between countries and cities because transportation depends on regulation, infrastructure and road conditions as much as technology.

8. Advanced Clean Energy Technologies

The energy system could look very different by 2030.

Solar power, wind energy, batteries, advanced nuclear technologies and smarter electricity grids are developing simultaneously.

The World Economic Forum has highlighted advanced nuclear technologies, including small modular reactors, as an emerging area, while also pointing to innovations that combine energy systems with new materials.

At the same time, electricity demand is becoming increasingly important because of electric vehicles, data centers and industrial electrification. Recent analysis has highlighted the growing importance of electricity generation, grid capacity and energy storage for the next wave of technological development.

By 2030, consumers could see:

• More home solar systems
• Larger home batteries
• Smarter electricity management
• More electric vehicles
• Faster EV charging
• More renewable power
• New nuclear technologies in some markets

Fusion energy is another technology attracting enormous attention, but commercial fusion at scale by 2030 remains uncertain. It is better viewed as a technology being developed toward longer-term potential rather than something consumers should assume will be commonplace by then.

9. Spatial Computing and More Realistic Digital Worlds

The internet could become less dependent on flat screens.

Spatial computing combines technologies such as augmented reality, virtual reality, computer vision and 3D interfaces to create digital experiences that interact with physical space.

Instead of opening an app on a phone, imagine putting on lightweight glasses and seeing digital information integrated into your surroundings.

For example, you could potentially:

• See navigation directions overlaid on streets
• Attend virtual meetings with 3D representations
• View furniture inside your actual room before buying it
• Learn through interactive 3D simulations
• Work with virtual screens without a traditional monitor
• Receive real-time information while performing physical tasks

The biggest barrier is not simply software. Devices need to become lighter, cheaper, more comfortable and easier to use.

If that happens, augmented reality glasses could eventually become more practical than today’s bulky headsets.

10. Smart Materials and Nanotechnology

Some of the most important technologies of 2030 may be almost invisible.

Nanotechnology involves manipulating materials at extremely small scales, while smart materials can respond to changes in their environment.

These technologies could influence medicine, electronics, construction, energy and manufacturing.

Researchers are exploring materials that can be stronger, lighter, more conductive, more flexible or capable of responding to their surroundings.

The World Economic Forum’s emerging-technology research emphasizes that major breakthroughs increasingly come from the convergence of different scientific fields, including materials science, biotechnology, AI and energy technology.

Possible applications include:

• More efficient solar cells
• Advanced medical devices
• Lightweight vehicles
• Flexible electronics
• Better batteries
• New construction materials
• More precise drug delivery

Unlike a new smartphone app, these technologies may not always be visible to consumers. Their impact could instead appear inside the products and infrastructure people use every day.

How These Technologies Could Change Everyday Life by 2030

The biggest transformation may not come from any single invention.

Instead, several technologies could work together.

Imagine a future home where an AI agent manages your schedule and household systems. Solar panels generate electricity, a home battery stores excess power and an electric vehicle charges automatically when electricity is cheapest.

Your health could be monitored continuously by wearable devices, while AI systems help identify potential problems earlier.

At work, AI agents could handle repetitive digital tasks while robots perform certain physical jobs.

You could use augmented-reality glasses instead of constantly looking down at a smartphone.

This is what makes the next decade particularly interesting: technology is becoming interconnected.

AI can improve robotics. Better batteries can improve electric vehicles and robots. Biotechnology can combine with AI. Quantum computing could eventually contribute to chemistry and materials research.

The World Economic Forum has specifically identified this convergence of technologies as an important feature of emerging innovation.

Will All 10 Technologies Become Mainstream by 2030?

Probably not.

Technology predictions often underestimate how difficult it is to move from a laboratory demonstration to mass adoption.

A technology can be scientifically possible but still too expensive, unreliable or difficult to manufacture.

Regulation can also slow adoption, particularly for technologies involving healthcare, transportation, privacy or autonomous systems.

For example, quantum computing may make significant progress by 2030 without becoming something ordinary consumers directly use. Brain-computer interfaces may remain primarily medical. Fully autonomous vehicles may operate in certain cities rather than everywhere.

Meanwhile, technologies such as AI agents, advanced batteries and AI-powered healthcare could become much more visible.

The most important question is therefore not simply whether a technology exists by 2030.

The bigger question is whether it becomes cheap, reliable and convenient enough for millions of people to use.

What Will Technology Look Like in 2030?

If current trends continue, the technology of 2030 may feel less like a collection of separate gadgets and more like one interconnected ecosystem.

AI could become the interface connecting people with software. Robots could connect digital intelligence with the physical world. Batteries and clean-energy technologies could support electrification. Biotechnology could connect computing with biology.

And many of these technologies will operate quietly in the background.

You may not think about the AI model managing your schedule, the algorithms optimizing your electricity consumption or the sensors monitoring your vehicle.

They will simply become part of everyday life.

Frequently Asked Questions

What technology will have the biggest impact by 2030?

Artificial intelligence is likely to be one of the most influential technologies because it can be integrated into many other fields, including software, robotics, healthcare, transportation and education. The exact scale of its impact remains uncertain.

Will robots be common by 2030?

Robots are likely to become more common in factories, warehouses, healthcare and other specialized environments. Whether affordable humanoid robots become common household products by 2030 is still uncertain.

Will quantum computers be available by 2030?

Quantum computing is expected to continue making progress, but widespread consumer access is unlikely to be the main goal. Its early applications are more likely to involve specialized scientific and industrial problems.

Will self-driving cars be normal in 2030?

Autonomous vehicles may become increasingly common in specific cities, routes and controlled environments. However, worldwide fully autonomous driving by 2030 is not guaranteed.

What technology could change healthcare the most?

The combination of artificial intelligence, biotechnology, genetic technologies and personalized medicine could significantly change healthcare. These technologies could improve diagnosis, drug development and treatment personalization.

Final Thoughts

The period leading to 2030 could be one of the most interesting periods in modern technological development.

AI agents, humanoid robots, advanced batteries, quantum computing, brain-computer interfaces, autonomous vehicles, biotechnology, spatial computing, clean energy and smart materials are all developing at different speeds.

Some will probably become mainstream. Others may remain specialized or require another decade of development.

But one thing is becoming increasingly clear: the technologies shaping 2030 will not operate independently. Their biggest impact could come from the way they combine with one another.

The smartphone changed everyday life by combining several technologies into one device. The next major transformation could happen on a much larger scale, as artificial intelligence, energy, robotics, biology and computing become increasingly interconnected.