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News

AI Shapes the Future of Workplace Tech

Artificial intelligence will accelerate innovation and transform how we do work.

September 6, 2024 | Nichol Bradford

3D Humanoid robot arm working automated in factory futuristic modern tech. Future digital technology AI artificial intelligence in industrial factory production line concept.

Rapid advancements in technology are set to reshape various industries and transform the way we work in the coming years.

As we look ahead to 2025-2027, several key trends are expected to dominate the tech landscape, bringing about significant changes and opportunities. Making predictions about technology is always challenging, especially now that generative AI (GenAI) is accelerating experimentation and progress across the five major areas of human endeavor: data, material science, energy generation, transport, and food production. If the past few years have felt like things are moving faster, you’re right—they are.

Overall Tech Trends

The democratization of AI, with its increasing accessibility and affordability, will lead to widespread adoption across industries and society, empowering businesses of all sizes to leverage its potential for increased efficiency and innovation. 

An example is its use in accelerating the development of robotics and the concurrent price drop. The G1 humanoid robot, once priced at $90,000, is now available for $16,000. As robotics becomes more sophisticated, intelligent, and integrated into daily life, robots will be capable of handling increasingly complex tasks. In five years, a humanoid robot with better motor skills is expected to cost less than $100, with widespread ramifications for labor.

Meanwhile, human augmentation technologies, such as wearable tech, exoskeletons, and neural interfaces,
are also evolving rapidly. These technologies are not only enhancing human capabilities but also transforming how we interact with the world around us. From wearable health monitors to brain-computer interfaces that enable direct communication with devices, the possibilities for augmenting human abilities are expanding. Digital neuro-twins enabled by advances in AI, materials, and sensors will allow for hyper-
learning and widespread mental health and fitness.

Quantum computing will enable faster problem-solving across various domains.

As technology advances, cybersecurity will remain a top priority, with organizations investing heavily in protecting their data and ensuring privacy.

The rise in cyberthreats necessitates stronger cybersecurity frameworks, and innovations in this field are crucial for safeguarding sensitive information and maintaining trust in digital systems.

Health care will see transformative innovations, with AI revolutionizing diagnosis and treatment, providing new avenues for mental health support, and offering solutions such as AI-powered therapy platforms that make employee support available 24/7.

AI Trends

Several AI trends are expected to shape the future technology landscape.

GenAI will continue to evolve, with more efficient models and applications becoming mainstream and a growing emphasis being placed on ethical AI and regulations to ensure responsible development and deployment.

Many applications will be AI-augmented, making them smarter and more adaptive to user needs. Voice search, powered by AI assistants, will become more common in daily life, and 1 in 10 cars will be self-driving by 2030, transforming transportation and mobility.

In the workplace, AI will significantly impact customer service, improving efficiency and satisfaction. The rise of no-code software engineering will allow individuals without raditional coding skills to create and modify applications.

Thomas Dohmke, CEO of GitHub, did a live demonstration of a groundbreaking AI-powered software last year that lets anyone create code using just their voice in any language. This could change software development from a specialized field into an accessible skill for billions of people worldwide. Dohmke predicts that the current workforce of 100 million software engineers could grow to an astonishing 1 billion once this voice-enabled coding becomes mainstream in the next two to three years.

The AI job market will experience growth as the industry expands and the demand for skilled profession-​als increases, with the size of the global AI market projected to reach $407 billion by 2027.

Intersection of AI and HR

AI will revolutionize the HR landscape, with the rise of AI assistants and process agents leading the charge. These technologies will automate tasks, optimize workflows, and enhance decision-making, enabling HR teams to focus on strategic initiatives that drive business success and employee satisfaction.

From supporting four-day workweeks and hybrid work options to minimizing bias in hiring, AI will play a crucial role in shaping the future of work. As organizations navigate this transformative period, they must embrace AI-powered tools and adapt their processes to harness the full potential of these technologies while also addressing the challenges and opportunities they present.

Looking ahead, the timeline for tech advancements is both exciting and daunting.

As we navigate this rapidly evolving tech landscape, it is crucial for businesses and individuals alike to stay informed, adaptable, and proactive. Embracing change, investing in skills development, and fostering a culture of innovation will be key to thriving in the age of AI and beyond. The future of tech is both thrilling and challenging, and those who can harness AI’s potential will be well positioned to succeed in the years to come. 

Nichol Bradford is executive in residence for AI+HI at SHRM.

 

Trends in AI and HR

1. Rise of AI Assistants and Process Agents: Within the next three years, artificial intelligence assistants are expected to become ubiquitous in the workplace, supporting employees with tasks, providing real-time information, and enhancing productivity. In the next five years, AI-powered process agents will automate and optimize complex business processes, including those within the HR domain, leading to greater efficiency and cost savings. HR will need to include agents in workflows and develop the ability to work with agents as part of its remit.

2. Four-Day Workweeks: AI-powered automation and efficiency improvements may make four-day workweeks more feasible by reducing the time spent on repetitive tasks and optimizing workflows.

3. AI Integration: HR teams will increasingly adopt AI tools for tasks such as resume screening, candidate matching, employee performance analysis, and personalized training recommendations.

4. Diverse Workforces: AI can help minimize bias in hiring and promotion processes by objectively assessing candidates based on skills and qualifications, supporting inclusion and diversity efforts.

5. Hybrid Work Options: AI-powered tools can facilitate seamless communication, collaboration, and productivity tracking for remote and hybrid teams, making flexible work arrangements more manageable.

6. Upskilling and Skills-Based Hiring: AI can identify skills gaps, recommend personalized learning paths, and match candidates to roles based on their skills, streamlining upskilling and skills-based hiring processes.

7. Data-Driven HR Metrics: AI can process vast amounts of HR data to generate insights into employee performance, en-gagement, and turnover trends, enabling data-driven decision-making.

8. Employee Experience: AI-powered chatbots and personalized recommendations can enhance the employee experience by providing real-time support, guidance, and feedback.

9. Remote and Hybrid Work Models: AI can optimize remote and hybrid work by automating tasks, improving communication, and ensuring data security across distributed teams.<

10. Mental Health Support: AI-powered tools can monitor employee sentiment, identify potential mental health concerns, and provide personalized resources and support to promote well-being.

11. Data-Driven Decision-Making: AI can analyze complex HR data, uncovering insights and patterns that inform strategic decisions related to talent management, organizational structure, and employee engagement.

12. Human Augmentation: The integration of human augmentation technologies in the workplace will support employees in various tasks. Wearable devices will monitor health and productivity, exoskeletons will assist in physically demanding jobs, and augmented reality and virtual reality will provide advanced training and collaboration tools, enhancing overall workforce capabilities. —N.B.

Technology

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