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AI and automation can make some work faster and better, help scientists make discoveries, and improve forecasting. They can also displace workers, widen inequality, expose people to surveillance and discrimination, and amplify security and information threats. The outcome is not predetermined: it depends on which tasks machines take on, who controls the technology, and how employers and governments manage the transition.
What does “the ascent of the machines” mean?
Here, “machines” means the expanding use of artificial intelligence (AI), machine learning and automation in workplaces, public services, science and decision-making. These systems do not affect every job or task in the same way. Some automate routine work; others assist people with tasks they still direct and check.
That distinction matters. A job can be exposed to AI without being eliminated: exposure means the work could be affected, either through automation or through tasks being augmented. The International Monetary Fund (IMF) estimated in 2024 that almost 40% of global employment was exposed to AI. Its estimates were about 60% in advanced economies, 40% in emerging markets and 26% in low-income countries.
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Productivity and work quality
AI can help people complete some tasks more quickly, organize information and support knowledge-intensive work. In an OECD survey reported in 2024, four in five surveyed workers said AI improved their performance at work, and three in five said it increased their enjoyment of work. These are workers’ reported experiences, not a guarantee that every workplace or tool will see the same result.
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- AI-Powered Raspberry Pi Robot Dog — PiDog: Powered by Raspberry Pi (5/4B/3B+/3B/Zero 2W), OpenClaw, and multi-LLMs like ChatGPT, Gemini, Grok, DeepSeek, Qwen & Ollama. With 12 servos, camera, gyroscope, hearing & touch sensors, PiDog can see, listen, talk, move, and interact intelligently. Supports OpenCV, MediaPipe, TTS & STT, app control, FPV & Python. A great STEM robotics gift for students, makers & tech enthusiasts—perfect for birthdays and holidays. (Raspberry Pi not included)
- Realistic Dog-like Movements: PiDog's 12 powerful servos enable 32 dog-like actions, including walking, sitting, standing, shaking its head, wagging its tail, and performing playful tricks, closely mimicking a real dog and providing an engaging experience. This is an AI development robot product designed for engineers, suitable for ages 15 and above
- Rich Sensor Suite for Interactive Experiences: PiDog features ultrasonic, touch, gyroscope, sound, camera, speaker and microphone. These provide it with advanced hearing, vision, and touch, enabling it to see, detect obstacles, respond to touch, and recognize sounds, making interactions highly engaging
- AI-Powered Interactions with OpenClaw & Multi-LLMs. PiDog combines voice, vision, and gesture recognition for immersive AI experiences. Powered by OpenClaw and multi-LLMs like ChatGPT, Gemini, Grok, DeepSeek, Qwen, Doubao, and Ollama (local LLMs), it can understand questions, respond naturally through TTS & STT, recognize math problems, interpret hand gestures, and hold smart conversations. OpenClaw also enables customizable AI behaviors and personalized robotics development, helping users create their own intelligent robotic companion
- Comprehensive Learning Resources and Support: PiDog offers detailed online documentation, video tutorials, prompt technical support, and an active forum community, ensuring beginners can easily complete all projects and enjoy a great experience
Whether productivity gains materialize depends on more than installing software. Employers need suitable tasks, reliable infrastructure, effective implementation and workers with the skills to use and check the tools. If AI produces errors that people must repeatedly correct, or adds oversight work without reducing other tasks, expected gains may not appear.
Scientific progress and better forecasting
The OECD identifies accelerated scientific progress, improved sense-making and better forecasting as potential benefits of AI. Tools that can help researchers analyze information or explore patterns may support discovery; forecasting systems may help organizations interpret complex data. These capabilities can inform decisions, but they do not make uncertain predictions certain or remove the need for expert judgment.
Augmenting workers rather than replacing them
When AI handles parts of a task while a person supplies context, judgment or responsibility, it can complement that worker rather than replace the whole job. Assistance may be particularly useful to less experienced workers in some settings, but the result depends on the task, the system and how people are trained to use it. A role may also change substantially even when it is not eliminated.
Possible economic growth
Higher productivity could support economic growth and help offset pressures such as population ageing. But growth is a possibility, not an automatic consequence of AI adoption. The gains depend on how broadly useful systems are adopted and whether productivity improvements translate into higher incomes and better outcomes for people.
Rank #2
- Optimized AI Arm Kit for LeRobot & Hugging Face Projects – The SO-ARM101 is an upgraded low-cost robotic arm servo motor kit designed for AI robotics enthusiasts and developers. Fully compatible with LeRobot and Hugging Face frameworks, it supports imitation learning and reinforcement learning, making it ideal for real-world robotics applications. (3D-printed parts not included.)
- Enhanced Wiring & Performance – Compared to the SO-ARM100, the SO-ARM101 features improved wiring to prevent disconnection at joint 3 and eliminates range-of-motion limitations. The leader arm uses optimized gear ratio motors for smoother performance—no external gearboxes required.
- Real-Time Leader-Follower Functionality – New real-time tracking allows the leader arm to follow the follower arm, enabling human intervention and correction during reinforcement learning (RL) training. Perfect for hands-on AI robotics development and research.
- Open-Source, DIY-Friendly & Nvidia-Compatible – Developed by TheRobotStudio, this open-source AI Arm kit integrates seamlessly with the LeRobot platform, offering PyTorch-based datasets, simulation, training, and deployment tools. Fully compatible with Nvidia Jetson edge devices, including reComputer Mini J4012 Orin NX 16 GB.
- Comprehensive Learning Resources – Includes detailed open-source assembly and calibration guides, testing tutorials, and deployment instructions. From wiring to AI training, get everything you need to start building, teaching, and optimizing your robotic arm for grasping and placing tasks.
What are the main disadvantages and risks?
Job displacement and difficult transitions
When automation reduces the need for human labor on particular tasks, some workers may face fewer hours, changed responsibilities or job loss. The OECD reported in 2024 that occupations at the highest risk of automation accounted for about 27% of employment in OECD countries, drawing on an OECD 2023 estimate. This is a risk classification, not a prediction that 27% of jobs will disappear.
Even where new work emerges, workers may not be able to move into it quickly or easily. Training, geographic mobility, hiring practices and the timing of job losses all affect whether people can benefit from new opportunities. The cited organizations do not provide a single definitive forecast of the net number of jobs AI will create or destroy.
Unequal access and unequal rewards
AI’s benefits may accrue disproportionately to people and organizations with capital, strong digital infrastructure, data and specialized skills. The IMF has warned that complementarity with high-income workers, along with returns to capital, could increase inequality. It has also noted that sufficiently large productivity gains could raise incomes broadly. Which outcome prevails depends on the scale of gains and how they are distributed.
Differences between countries matter, too. The IMF’s 2024 exposure estimates are higher for advanced economies than for emerging and low-income economies, but exposure is not the same as capacity to benefit. Countries with limited infrastructure or skills may have fewer ways to capture gains, even if fewer jobs are directly exposed.
Rank #3
- Raspberry Pi AI Robot: powered by Raspberry Pi (5/4B/3B+/3B/Zero 2W), features 12 servos and sensors for vision, hearing, and touch. Integrated with ChatGPT-4o, it responds to complex queries. With app control and FPV, users can manage and see its view in real-time. It supports Python programming
- Realistic Movements: 12 powerful servos enable 32 actions, including walking, sitting, standing, shaking its head, wagging its tail, and performing playful tricks, closely mimicking a real and providing an engaging experience
- Rich Sensor Suite for Interactive Experiences: features ultrasonic, touch, gyroscope, sound, camera, speaker and microphone. These provide it with advanced hearing, vision, and touch, enabling it to see, detect obstacles, respond to touch, and recognize sounds, making interactions highly engaging
- Engaging Interactions with ChatGPT-4o: with ChatGPT-4o enables voice interactions and visual recognition, making it smarter and more responsive. Users can have natural conversations, solve math problems via the camera, and interpret gestures, creating diverse and fun interactions
- Comprehensive Learning Resources and Support: offers detailed online documentation, video tutorials, prompt technical support, and an active forum community, ensuring beginners can easily complete all projects and enjoy a great experience
Bias, privacy and workplace monitoring
Automated decisions can reproduce or amplify discrimination if the data, design or deployment reflects existing bias. When a system affects hiring, evaluation, access to services or other high-impact outcomes, people need ways to understand and challenge decisions. Collecting extensive worker data also raises privacy concerns, particularly when monitoring is opaque or used beyond its stated purpose.
Security, fraud and information harms
The OECD identifies risks including sophisticated cyberattacks, fraud, manipulation and disinformation. Such harms can erode trust and affect democratic processes as well as individuals and organizations. AI does not create every underlying threat, but it can change the scale or sophistication of some attacks and make false or deceptive material easier to produce.
Concentrated power and critical-system failures
Control over computing resources, data and major platforms can concentrate influence among a relatively small number of organizations. Dependence on widely used systems can also make failures consequential: an error or disruption in a critical system may spread beyond the original user or organization. The OECD includes critical-system incidents and concentration of power among the risks policymakers should address.
Who benefits, and what determines the balance?
The central trade-off is not simply “machines versus people.” It is whether AI is used mainly to replace human labor or to improve what people can do, and whether productivity gains reach workers and communities as well as owners of capital and technology.
Rank #4
- 【End-to-End Imitation Learning】Hiwonder SO-ARM101 robot arm is an embodied intelligent hardware platform compatible with the Lerobot open-source framework. It provides developers with streamlined access to shared code, templates, and pre-trained models to explore the latest advancements in AI research.
- 【Dual-Camera Vision System】Equipped with both a gripper-mounted camera and an external camera, the system supports both precise manipulation and environmental awareness for accurate imitation learning.
- 【Hiwonder High-Performance Bus Servos】Featuring 12 high-torque bus servo motors with magnetic feedback, the Hiwonder SO-Arm101 robotic arm delivers smooth, stable motion, eliminating issues like power deficiency and jitter.
- 【Professional Control & Debugging】Integrated with the Hiwonder BusLinker V3.0 debugging board, the system supports servo scanning, real-time status monitoring, and trajectory control. The professional PC software simplifies device calibration and debugging, making it accessible for both researchers and hobbyists.
- 【Open-Source Compatibility】The SO-ARM101 robotic arm is designed to be fully compatible with the LeRobot open-source project. We acknowledge the contributions of the open-source community; all trademarks and copyrights belong to their respective owners.
| Question | Potential upside | Potential downside |
|---|---|---|
| Augmentation or displacement? | People may complete tasks more effectively with assistance. | Automating tasks can reduce demand for some roles or skills. |
| Productivity or distribution? | Efficiency gains could support growth and broader income gains. | Rewards may concentrate among high-income workers, capital owners or firms with greater access. |
| Innovation speed or accountability? | Faster development may advance science and useful services. | Rapid deployment can outpace safeguards, oversight and clear liability. |
| Centralized control or broad access? | Shared platforms and resources can make capable tools available at scale. | Control of data, computing resources and platforms can concentrate power. |
| Short-term disruption or long-term growth? | Productivity gains could support growth over time. | Workers and communities may bear transition costs before gains arrive, or never share them. |
These outcomes remain uncertain and vary by sector, workplace and policy. The IMF’s 2024 assessment describes the possibility that AI could jumpstart productivity and raise incomes, while also warning that it could replace jobs and deepen inequality. It is more accurate to treat these as competing scenarios than to promise either a jobs boom or mass unemployment.
How can employers and policymakers reduce the risks?
For employers adopting AI
- Measure actual task outcomes, including quality and time saved, rather than treating adoption itself as proof of productivity.
- Keep accountable human review for high-impact decisions; define who can challenge or correct an automated result.
- Protect worker data by limiting collection and use to clear purposes, and explain monitoring practices.
- Provide training and transition support when automation changes workers’ tasks or roles.
- Assess systems for security, discrimination and failure risks before deployment and as their use changes.
For policymakers
The OECD’s priorities include clearer liability rules, defined red lines for unacceptable uses, investment in AI safety, risk-management procedures, competition policy, worker support and safeguards against discrimination and manipulation. The aim is to make responsibility and remedies clearer without assuming that every application carries the same level of risk.
Managing the transition also means paying attention to who can access useful tools and training, who bears the costs when work changes, and whether competition allows the benefits of innovation to spread. The OECD’s 2024 policy assessment says the swift evolution of AI calls for policymakers to consider and proactively manage AI-driven change.
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AI and automation offer real potential to improve work, support science and lift productivity, but none of those benefits guarantees secure jobs or broadly shared prosperity. The advantages are most likely to matter when systems complement people, organizations measure their effects, and workers have a voice and support through change. Without accountability, safeguards and attention to distribution, the same technologies can intensify displacement, inequality and harm.
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