The technologies that shape the 2030s may already be taking form in laboratories today.

Some are already being deployed, while others are still experimental. Artificial intelligence is moving into physical systems, quantum technologies are becoming more sophisticated, biotechnology is becoming increasingly programmable, and new materials are opening possibilities in energy and electronics.

The World Economic Forum's 2026 emerging-technology report identifies technologies approaching wider real-world impact, while Stanford's 2026 Emerging Technology Review tracks major fields including AI, biotechnology, quantum technologies, robotics, energy, materials, semiconductors, and space technology.

Here are 10 areas that could influence the next decade.

1. Artificial Intelligence for Scientific Discovery

AI is moving beyond chatbots and recommendation systems into laboratories and research facilities.

Machine-learning models can analyze enormous datasets, identify patterns, predict molecular properties, and help researchers decide which experiments to perform. Scientific instruments can produce terabytes or even petabytes of information, making automated analysis increasingly important.

Where it could go

AI could accelerate drug discovery, materials research, astronomy, climate modelling, and biological research.

Self-driving laboratories are an emerging example. They combine AI, robotics, and automated experiments to create a cycle in which algorithms propose and interpret experiments.

Stage: Already deployed in research, but highly autonomous scientific systems remain experimental.

2. Quantum Computing

Quantum computers use qubits and quantum effects such as superposition and entanglement to process information differently from conventional computers.

Researchers are working on hardware, quantum algorithms, and especially error correction. The goal is to create reliable logical qubits that can perform useful calculations without errors accumulating too quickly.

Potential applications include molecular simulation, chemistry, materials science, and some specialized computational problems.

However, current quantum computers remain limited, and large-scale fault-tolerant systems have not yet become general-purpose machines.

Stage: Experimental research and early demonstrations.

3. Advanced Biotechnology and Gene Editing

Biotechnology is increasingly giving scientists tools to modify biological systems directly.

CRISPR-based gene editing can make targeted changes to DNA, while newer techniques such as base editing and prime editing are being investigated for more precise modifications.

Gene-editing treatments have already entered medical use for certain diseases, but many potential applications remain experimental.

Over the next decade, researchers could develop more precise therapies for inherited diseases and expand engineered-cell technologies.

The main challenges include delivery, unintended genetic changes, manufacturing, safety, cost, and long-term monitoring.

Stage: Some applications are clinically established; many next-generation approaches remain experimental.

4. Advanced Robotics

Robots are becoming increasingly capable of sensing their surroundings, processing information, and performing physical tasks.

Modern robotics combines cameras, sensors, machine learning, control systems, and increasingly capable actuators. Researchers are working on robots that can operate in warehouses, factories, laboratories, hospitals, agriculture, and hazardous environments.

Stanford's 2026 technology review identifies robotics as a major frontier because useful robots must combine perception, decision-making, and physical action in the real world.

The limitation

The physical world is unpredictable. A robot that works reliably in a controlled factory may struggle in a crowded or changing environment.

Stage: Commercially deployed in specific environments; more general-purpose robotics remains under development.

5. Next-Generation Energy Storage

Renewable energy creates a major storage challenge because electricity production does not always match demand.

Scientists are therefore developing improved batteries and other storage technologies, including sodium-ion, solid-state, flow, and alternative long-duration storage systems.

Another development is everything-to-grid energy, in which electric vehicles, buildings, batteries, and other devices can store electricity and return it to the grid when needed.

These systems could make electricity networks more flexible.

However, different storage technologies involve trade-offs involving cost, energy density, materials, lifetime, safety, and manufacturing.

Stage: Many technologies are already deployed; newer chemistries and large-scale systems are still developing.

6. Direct Lithium Extraction

Lithium is an important material for rechargeable batteries.

Traditional lithium extraction from some brines can require large evaporation areas and long processing times. Direct lithium extraction (DLE) uses engineered materials and chemical processes to selectively remove lithium from brine.

The World Economic Forum's 2026 report identifies DLE as an emerging technology that could expand lithium production and reduce some of the land and water requirements associated with conventional methods.

The technology still needs to demonstrate reliable economics and environmental performance across different geological conditions.

Stage: Pilot and early commercial deployment.

7. Precision Fermentation and Synthetic Biology

What if microorganisms could be programmed to manufacture useful ingredients?

Precision fermentation uses genetically engineered microorganisms to produce specific proteins or other compounds inside fermentation systems.

The technology is already being used for some food ingredients and is being explored for pharmaceuticals, chemicals, and materials.

Synthetic biology goes further by designing biological systems with specific functions.

Potential applications include alternative proteins, industrial enzymes, medicines, and sustainable manufacturing.

The major challenges include production costs, energy requirements, scaling, regulation, and consumer acceptance.

Stage: Precision fermentation is already commercial for selected products; many advanced synthetic-biology applications remain experimental.

8. World Models for Physical AI

Today's AI systems can be extremely capable with language and digital information, but physical environments are much harder to understand.

World models attempt to give AI systems an internal representation of how environments behave. They can combine information from images, video, sensors, and other data to predict possible outcomes.

The World Economic Forum identifies world models as an emerging technology because they could help machines plan and interact with physical environments more effectively.

Possible applications include robotics, autonomous vehicles, industrial automation, and scientific simulation.

But physical-world prediction remains difficult because real environments contain uncertainty and unexpected events.

Stage: Experimental and rapidly developing.

9. Advanced Semiconductors and New Materials

The next generation of computing and electronics will depend heavily on materials.

Researchers are developing advanced semiconductor technologies, two-dimensional materials, wide-bandgap semiconductors, photonic components, and other engineered materials.

These technologies could improve computing, power electronics, communications, sensors, and energy systems.

Stanford's 2026 review treats materials science and semiconductors as separate frontier areas because progress in both can influence many other technologies.

The challenge is moving from laboratory demonstrations to affordable, reliable mass manufacturing.

Stage: Established semiconductor technologies are widely deployed; many next-generation materials remain experimental.

10. Post-Quantum Cryptography

Quantum computing could eventually threaten some widely used public-key encryption systems.

Scientists are therefore developing post-quantum cryptography, which uses mathematical problems believed to be difficult for both conventional and future quantum computers.

Lattice-based cryptography is one approach receiving significant attention. The World Economic Forum lists it among the emerging technologies that could help protect digital information as quantum computing advances.

Unlike many technologies on this list, post-quantum cryptography does not require waiting for powerful quantum computers to arrive. Security systems can be upgraded in advance.

Stage: Standardization and deployment are already underway, while migration across global systems is ongoing.

Why These Technologies Could Matter

A striking feature of today's technology landscape is convergence.

AI can help discover new materials. New materials can improve quantum and semiconductor hardware. Biotechnology can combine with machine learning to design biological systems. Robotics can connect AI to the physical world.

The World Economic Forum's 2026 analysis describes this broader shift as technology moving increasingly into energy, healthcare, manufacturing, materials, and other physical systems.

This means the biggest changes of the next decade may come from combinations of technologies rather than one isolated invention.

What Could Stop Them?

Scientific potential does not guarantee widespread adoption.

Technologies must become affordable, reliable, safe, scalable, and compatible with existing infrastructure. Regulation, public acceptance, supply chains, energy consumption, cybersecurity, and environmental effects can also determine whether an invention succeeds outside the laboratory.

Some technologies on this list will probably develop more slowly than expected. Others may find applications that researchers have not yet anticipated.

Conclusion

The next decade is likely to be shaped by technologies that are already moving from scientific research toward practical applications.

AI could accelerate discovery. Quantum computing could open new computational approaches. Biotechnology could make medicine more programmable. Robotics could bring increasingly capable machines into physical environments. New energy and materials technologies could reshape how electricity and products are produced.

But the future is not predetermined.

The important question is not simply which technologies sound most futuristic. It is which ones can successfully move through the difficult journey from scientific idea to reliable, affordable, real-world technology.

That process will determine which innovations actually shape the 2030s.

Frequently Asked Questions

What are emerging technologies?

Emerging technologies are developing technologies that show significant scientific or engineering progress but have not necessarily reached widespread adoption. Their maturity can range from laboratory research to early commercial deployment.

Which emerging technologies are already being used?

AI, advanced robotics, gene-editing therapies, precision fermentation, modern battery systems, and semiconductor technologies already have real-world applications. However, many newer versions remain experimental.

Will quantum computing become mainstream in the next decade?

It is possible that quantum computing will become useful for specific applications, but the timing and scale of future adoption remain uncertain. Major challenges in error correction, hardware scaling, and useful algorithms remain.

How could AI affect other emerging technologies?

AI can support research in areas such as materials science, biotechnology, robotics, energy, and quantum computing. It can analyze data, make predictions, optimize designs, and help researchers select experiments.

Why do promising technologies sometimes take years to become mainstream?

Laboratory performance is only one step. Technologies also need reliable manufacturing, affordable costs, safety testing, infrastructure, regulation, and evidence that they work consistently in real-world conditions.