The head of the International Monetary Fund (IMF) states that AI technologies may require new social safety nets for people who cannot upskill themselves after being made redundant by AI tools.
AI may increase the income divide
There is a risk that AI may increase the income divide and result in uneven distribution of benefits [of AI] which may fray the social fabric in a way that is going to cause unrest. Governments need to be cognizant of the importance of social safety nets in a world of artificial intelligence.
44% of global employment is impacted
Arcus research indicates that 44% of global employment is impacted by AI. In economies with a higher share of cognitive tasks, the impact can be as high as 65% of all jobs. Overall exposure is 38% in emerging markets and 21% in low-income countries.
AI-related disruption is likely to start with low skill repetitive and service oriented sectors such as call centers while accelerating to other sectors such as software development which could increase the divide between countries with more jobs that require cognitive skills. These shifts are more likely to impact older workers who tend to have lower technology adaptation skills.
The economic aftershocks from AI could expose as many as 400 million jobs globally to automation. Arcus projects that over 60% of jobs in North America are exposed to some level of automation due to AI.
Large language models (LLMs) are fairly advanced in processing information and serving it to audiences thus reducing the need for searching for information.
AI team briefing
Contact Arcus to register for our monthly technology trends update. It’s a brief informative 15 minute video update exclusively customized for your team with a 5 minute Q&A. Add the update to your weekly team meeting.
Google Gemini: Everything you need to know.
Google just revealed Gemini and will directly integrate the AI into Google apps. The GPT-4 competitor comes in 3 models — Ultra, Pro, and Nano.
Trends in AI democratization
AI democratization refers to the effort to make artificial intelligence (AI) accessible to a broader audience, beyond a select group of experts, researchers, or large enterprises. This trend aims to empower individuals, organizations, and communities to leverage and benefit from AI technologies. As of my last knowledge update in January 2022, here are some trends […]
Trends in quantum computing and AI
The intersection of quantum computing and artificial intelligence (AI) was an area of active exploration, with researchers and industry professionals investigating how quantum computing could potentially enhance AI algorithms and solve complex computational problems. Here are some trends in the convergence of quantum computing and AI: It’s important to note that the field of quantum […]
Trends in AI for autonomous systems.
Several trends are influencing the development and deployment of artificial intelligence (AI) in autonomous systems. Autonomous systems include a range of applications, such as autonomous vehicles, drones, robots, and other intelligent machines that can operate independently. Here are some trends in AI for autonomous systems: It’s important to note that the field of AI for […]
Trends in AI in cybersecurity
AI in cybersecurity is experiencing notable advancements as organizations sought more sophisticated tools to detect and respond to evolving cyber threats. Here are some trends in the integration of artificial intelligence with cybersecurity: It’s important to note that the field of AI in cybersecurity is dynamic, and new trends may have emerged since my last […]
AI for Edge Computing
Several trends were shaping the integration of artificial intelligence (AI) with edge computing. Edge computing involves processing data near the source of data generation rather than relying solely on centralized cloud servers. This approach is particularly relevant for AI applications that require real-time processing and low-latency interactions. Here are some trends in AI for edge […]
Trends in AI in Healthcare
Several trends were shaping the use of artificial intelligence (AI) in healthcare. The healthcare industry has been actively exploring ways to leverage AI technologies to improve patient outcomes, streamline processes, and enhance overall efficiency. Here are some trends in AI in healthcare: It’s important to note that the field of AI in healthcare is dynamic, […]
AI Ethics and Responsible AI
AI ethics and responsible AI practices are gaining significant attention. The ethical considerations surrounding AI technologies were becoming increasingly important for developers, businesses, and policymakers. Here are some trends in AI ethics and responsible AI: Please note that the field of AI ethics is rapidly evolving, and new trends may have emerged since my last […]
Trends in Explainable AI (XAI)
Explainable AI (XAI) has been an increasingly important area of focus in the development of artificial intelligence systems. The need for transparency and interpretability in AI models is driven by ethical considerations, regulatory requirements, and the desire to build trust with users. As of my last knowledge update in January 2022, here are some trends […]
Service coverage
The variety, breadth, and depth of the projects where Arcus can be a resource are made unique by each client’s specific needs. By providing a very small sample of projects we’ve completed, we can help you understand how and when to use our services. Visit the links below to find out more about a specific problem or opportunity you would like to address.
Below is a sample of the range of services that Arcus has provided to clients.
- A survey of 2,350 consumers and 1,320 business leaders for feedback on sustainability trends
- Architecting a multi-year change strategy for a Fortune 500 company
- Mentoring a CEO on organizational change
- Excellence transformation of a leading B2B services company
- Creating a new sales deployment model for a healthcare company
- Developing a position evaluation and compensation model for a professional medical association
- Improving services to customer segments by deepening their understanding of customer attitudes
“Arcus manages to consistently deliver tangible results on market research and strategy projects. They combine deep business expertise, powerful research capabilities, and innovative thinking to deliver substantial value.”
– Vice President, Nikon
Media Coverage
Arcus has been quoted extensively in media on a range of topics and can offer research studies, insights and ideas. Here are some examples from the Globe and Mail, CTV, Global TV and others.
- Retail trends: growth of buy now pay later (BNPL) – BNN Bloomberg
- Nordstrom countdown to opening begins – Toronto Star
- No lineups outside stores in five years – BNN Bloomberg
- Black Friday retail, marketing, and cross-border shopping trends – BNN Bloomberg
- Does global expansion need a local flavour? – Globe and Mail
- Art of the Pitch – Protect company’s interests when approaching giants – Globe and Mail
- Off-the-shelf technology or a custom design? – Globe and Mail