Human augmentation means using technology to extend what people can physically and cognitively do at work. On the Top Strategic Technology Trends lists of Gartner, Inc., it appears in three forms: Human Augmentation (2020), the Augmented-Connected Workforce (2024) and Neurological Enhancement (2025). This post separates what is deployable today from what is still research and covers the guardrails for regulated EU organizations. Quotes come from Gartner’s press releases, linked and dated below; the recommendations are the author’s own.

The human augmentation timeline

2020: Human Augmentation

In its press release of October 21, 2019, Gartner described human augmentation as exploring how technology “can be used to deliver cognitive and physical improvements.” It distinguished two kinds: “Physical augmentation enhances humans by changing their inherent physical capabilities,” while cognitive augmentation “can occur through accessing information and exploiting applications on traditional computer systems.”

Augmentation itself is not new. People have used glasses, hearing aids and prosthetics for centuries and, more recently, cochlear implants, laser eye surgery and wearables. The 2020 framing moved the discussion from restoring a lost capability to extending a normal one:

• Cognitive: tools that extend memory and recall, from software assistants to brain-computer interface research
• Physical: exoskeletons that reduce strain in lifting and overhead work
• Monitoring: wearable and implanted sensors that track physiological signals

2024: Augmented-Connected Workforce

Gartner’s October 16, 2023 release defined the augmented-connected workforce (ACWF) as “a strategy for optimizing the value derived from human workers.” It uses intelligent applications and workforce analytics “to provide everyday context and guidance.” Gartner predicted that “through 2027, 25% of CIOs will use augmented-connected workforce initiatives to reduce time to competency by 50% for key roles.”

In practice, ACWF programs combine:

• Intelligent applications that support decisions in the flow of work
• Workforce analytics on skills and time to competency
• Contextual guidance for complex or infrequent tasks
• Well-being support, which is useful when opt-in and aggregated, and risky when it turns into individual monitoring

2025: Neurological Enhancement

Gartner’s October 21, 2024 release states: “Neurological enhancement improves human cognitive abilities using technologies that read and decode brain activity.” The trend covers “unidirectional brain-machine interfaces or bidirectional brain-machine interfaces (BBMIs),” with use cases in upskilling, next-generation marketing and performance. Its headline prediction: “By 2030, Gartner predicts 30% of knowledge workers will be enhanced by, and dependent on, technologies such as BBMIs,” up “from less than 1% in 2024,” funded by both employers and individuals.

The distinction that matters for planning:

• Unidirectional interfaces only read brain signals, for example EEG headsets
• Bidirectional interfaces (BBMIs) also stimulate the brain
• Non-invasive devices such as headsets and earbuds are what workplace pilots use; implants remain clinical

What these devices do today is narrow: detect coarse signals such as attention or fatigue, with accuracy that varies by device and person, and support hands-free control in trained tasks. They do not deliver better memory or knowledge transfer at work. The European Data Protection Supervisor (EDPS) notes that inferences from neurodata are probabilistic and that the scientific validity of uses such as emotion recognition is unproven.

2026 and 2027: augmentation leaves the list

Neither of the latest lists has a human augmentation trend. The closest item on the 2026 list (October 20, 2025) is Physical AI, which Gartner says “brings intelligence into the real world by powering machines and devices that sense, decide, and act.” The 2027 list (October 20, 2026) includes Wetware as a Service, “remote cloud-based access to living or synthetic biological systems for computation.” That is computing on biological systems, not enhancing people. The practical successors to ACWF are agent trends such as Multiagent Systems (2026) and AI Agent Identity (2027).

Human enhancement categories

• Physical: exoskeletons, powered assistance and stabilization tools for manufacturing, logistics, construction and surgery
• Cognitive: AI assistants, enterprise search, analytics and generative tools for research, planning and design
• Social: real-time translation, presentation coaching and collaboration tools
• Sensory: AR overlays, advanced hearing aids and haptic feedback

Be careful with emotional “enhancement.” Since February 2025, the EU AI Act has prohibited AI systems that infer the emotions of people in the workplace, except for medical or safety reasons. A coaching tool that reads faces or voices to judge emotional state falls into that territory.

Technology integration approaches

Wearable enhancement

Smart glasses, haptic gloves, non-invasive neural headsets and biometric wearables make up most of what organizations can deploy today. They are removable, quick to roll out, lower risk and upgradeable.

Implantable systems

Neural implants, embedded sensors and smart prosthetics are medical devices, prescribed for clinical need, with surgery, long-term support and removal to consider. They belong in healthcare, not in an employer program.

Pharmaceutical enhancement

Nootropics and other drugs sometimes appear in augmentation discussions. They are a medical matter for individuals and their doctors, not something an employer should plan, fund or encourage.

Industry applications and use cases

Manufacturing and industrial

• Today: exoskeletons for lifting and overhead work, AR work instructions and collaborative robots
• Emerging: AI-guided assembly and visual inspection with a human in the loop
• Research: neural interfaces for precision work, with no established industrial use

Healthcare and medical

• Today: robot-assisted surgery, AI-assisted imaging and clinical decision support
• Emerging: continuous patient monitoring with AI-assisted triage
• Research: implanted brain-computer interfaces in clinical trials to restore communication and movement for patients with paralysis

Knowledge work and research

• Today: AI assistants for search, drafting and analysis
• Emerging: AI agents that run multistep workflows under human supervision
• Research: direct neural links to information systems

Education and training

• Today: VR and AR simulation for high-risk tasks
• Emerging: AI-personalized learning paths
• Research: neurofeedback for learning; direct knowledge transfer remains speculative

Implementation approach

Phase 1: Explore and pilot

1. Pick specific, measurable problems, such as strain injuries or long onboarding times
2. Assess devices and software against safety, privacy and accuracy criteria
3. Run a data protection impact assessment (DPIA) and involve employee representatives early
4. Pilot with volunteers and clear exit criteria

Phase 2: Scale the augmented-connected workforce

1. Build workforce analytics on aggregated, purpose-limited data
2. Put intelligent applications and contextual guidance into the flow of work
3. Measure productivity, safety incidents and time to competency
4. Invest in change management: communication, training and feedback loops

Phase 3: Evaluate neurotechnology cautiously

1. Decide where, if anywhere, neurotechnology adds value that wearables and software cannot
2. Require independent ethics review, a DPIA and a medical device check
3. Build the expertise to challenge vendor claims
4. Decide to proceed, pilot or wait, and document why

Success factors across all phases: leadership commitment and an ethics policy before the first pilot, designs that fit existing workflows and safety standards, and regular review of productivity, safety and well-being measures.

Ethical, legal and social considerations

Individual rights and fairness

• Voluntary participation: augmentation is never a condition of employment
• Informed consent and reversibility: people understand the risks and can opt out without penalty
• Fair evaluation: no one is disadvantaged for declining augmentation
• Equal access: tools do not create new inequalities across roles or regions

EU regulatory guardrails

• GDPR: the EDPS TechDispatch on neurodata notes that neurodata often falls under the special categories of health or biometric data. Employee consent is rarely freely given, so plan for another legal basis and a DPIA (see the GDPR guide).
• EU AI Act: emotion recognition at work is prohibited. AI used for employment and worker management is high-risk under Annex III; after the AI Omnibus, those obligations apply from December 2, 2027.
• Medical Device Regulation: brain-stimulation equipment falls under the MDR even without a medical purpose (Annex XVI).
• Works councils: consult employee representatives where national law requires it.

Safety and security

Devices must be certified for their intended use, and a device failure must never create a safety hazard. Protect the devices and the data they produce like any other sensitive system, with clear procedures for malfunctions and breaches.

What to watch next

Instant skill downloads, brain-to-brain communication and quantum-enhanced cognition are nowhere near practical use and appear on none of Gartner’s lists. Worth watching instead:

• Non-invasive neurotechnology in consumer earbuds and headbands, and the privacy questions it raises
• Spatial computing for frontline work and polyfunctional robots, both on the 2025 list
• Software agents as coworkers, the focus of the 2026 and 2027 lists
• The EU AI Act’s high-risk obligations for employment AI from December 2, 2027

Conclusion

Across three Gartner lists, human augmentation moved from a broad idea in 2020 to a workforce strategy in 2024 to brain-reading technology in 2025, and then off the list as attention shifted to physical AI and agents. For most organizations the deployable part is the middle step: intelligent applications, contextual guidance and wearables that make people safer and faster, introduced with consent and measured by outcomes such as time to competency.

Treat neurotechnology as a watch item with a high bar. Start with ethics and law, keep participation voluntary and reversible, and augment people rather than monitor them. Organizations that get this governance right now can adopt the next wave without having to rebuild trust.

Gartner is a registered trademark of Gartner, Inc. This post is independent analysis of Gartner’s public press releases and is not affiliated with or endorsed by Gartner.

Sources

• Gartner Identifies the Top 10 Strategic Technology Trends for 2020 (October 21, 2019) – Gartner
• Gartner Identifies the Top 10 Strategic Technology Trends for 2024 (October 16, 2023) – Gartner
• Gartner Identifies the Top 10 Strategic Technology Trends for 2025 (October 21, 2024) – Gartner
• Gartner Identifies the Top Strategic Technology Trends for 2026 (October 20, 2025) – Gartner
• Gartner Identifies the Top Strategic Technology Trends for 2027 (October 20, 2026) – Gartner
• TechDispatch #1/2024 – Neurodata – European Data Protection Supervisor
• AI Act: regulatory framework for AI – European Commission

Last reviewed: October 2026.