The Future of Humans as it Relates to Work and the Resolve of AI Automation
Though artificial intelligence (AI) as a technology has been innovating since the 1960s, the covid-19 pandemic accelerated widespread adoption and stands to play a critical role as a core technology in the fourth industrial revolution.
Discussions have arisen around ethical usage of AI, advancements and adaptations in a variety of industries, including healthcare and improving widespread public trust in this disruptive technology. From image processors to smart assistants to humanoid robots, AI has become a more powerful, more intelligent tool, even outscoring top graduates of Stanford University in reading comprehension.
In a post-covid world, business leaders agree that AI plays a crucial role in economic revitalization by making tasks easier and more efficient, developing new business models, and enabling new services and products. Though the benefits are many, corporations still face challenges and barriers in enterprise adoption.
Common themes that have emerged include a lack of understanding of the technology by key stakeholders, a lack of education that could support under-skilled workers and legacy systems that prove challenging to integrate with new technologies. However with the right strategies, tactics and stakeholder buy-in, widespread adoption can be effectively implemented, even in multinational enterprises with legacy technology.
From 2019 to 2020 hiring, adoption and investments have increased in AI, trends that continue to drive upwards. Infact, in comparison to the previous year, investment in artificial intelligence increased by 40% especially in industries like pharmaceuticals, biotech and healthcare. Other industries with strong adoption include the automotive, financial services, real estate, hospitality, cybersecurity and even the public sector.
Naturally, questions have risen around ethics and the elimination of the human workforce in a machine centered, AI driven economy. Though humans develop and manage these technologies, the question remains, will increased automation reduce the need for humans in the workforce, or can new tools and technologies create more jobs and increase productivity for existing employees?
Answering these questions brings us to understand AI as the scaffold for the future of work with automation also seamlessly meshing into it as its scalability and efficiency factor– thus having a great input to redefining what work is, how it is done, and how success is spontaneously achieved.
Demystifying AI & Automation
What is AI?
Artificial intelligence is a body of algorithms encoded into a computer giving it the ability to mimic humans in decision-making, speech recognition and response as well as visual perception, speech recognition, decision-making, and adaptability. In other words it’s the ability of a computer to perform tasks otherwise performed by intelligent beings.
The advancements of AI relate to faster processing, stronger memory, better learning, reasoning, problem solving, perception and language.
As an intelligent algorithm for example, an AI process could decode data-based patterns that surround a particular job or industry and predict, propose, and execute a better directory to achieve a particular task.
In a tool like ChatGPT for example, users are able to hold interactive conversations with a highly autonomous system that can answer questions, hold a conversational dialogue, produce write-ups, reject requests, and recognize and admit to mistakes.
The novelty of tools such as this AI chatbot system are the ways it stands to support humans with tasks, provide insights and potentially act as an assistant of sorts. Whether it’s asked to write a poem or explain the law of conservation of energy, ChatGPT doesn’t replace but rather advances the requests of the human.
Another example is CURIAL AI, a system used to streamline healthcare objectives during the Covid-19 pandemic, which uses routinely collected clinical data from patients and predicts the likelihood that a patient will test positive or negative for Coronavirus.
In both cases, AI uses data to solve problems and present possibilities that have the power to scale industries, accelerate growth and eliminate redundancy with limited external interruptions and additional resources.
What is AI Automation?
Automation is the process by which a system or device operates routinely to complete simple and repeatable tasks or activities determined by individuals. Automated systems are used to streamline projects, operations, and customer service, supply chain and more to ensure coordinated and smooth delivery.
Unlike Artificial Intelligence, automation follows a set of specific instructions, therefore it doesn’t learn, reason or develop new solutions or outcomes.
Automation is widely used in many industries, and sectors providing benefits in:
- Human Resources: enabling new efficiencies and improving key touchpoints to elevate new hire and existing employee experience.
- Business Operations: where it is used for recording and curating invoices, scheduling emails and reminders as well as other notifications.
- Machinery Organization: devices that manufacture products, foods, pharmaceuticals, sorting through items in a warehouse or even proving automated ordering systems.
- Automotive: Automated or driverless vehicles, unmanned aerial vehicles (UAVs), and Industrial robots are also automated machines.
- Operations: collecting job applications, scheduling interviews, software testing, QA testing, web link testing, ads and online marketing.
Automation simplifies the human task and switches manual work to a tech-based operation that can be easily completed since they follow a similar sequence. Optimal efficiency lies in merging automation with AI to create organized systems that increase productivity and accelerate growth.
The Relationship Between Humans and AI
Though technology like AI, automation, machine learning, and cognitive processes are simplifying business operations and providing an added layer of support and enhancements for customers, there’s no question as to the value of the human on the other side.
Although at first glance statistics from the World Economic Forum, stating that by 2025 85 million jobs will be displaced from human to machine, come as a shock- the same report shares that an additional 97 million new roles will be created in the same time frame.
Whereas the value of machines lies in services around artificial intelligence aimed at digitizing core elements of human redundancy such as manual tasks, data management, speech recognition and natural language processing for quicker, consistent and better results, the value of humans is in personal interactions, empathy, creative thinking and decision making.
Rather than replace humans, the goal is to forge a unique synergy between man and machine, a cooperation that harnesses the power and knowledge of AI to provide better insights, real-time data, centralized and accessible information and streamlined operations to result in stronger outcomes, and happier employees.
Though employees might worry about job loss and increased skill requirements, the beauty of these technologies is that it allows companies to make hiring decisions based on ambition, cultural fit and willingness to learn rather than someone with a particular skill set.
The future of work requires adaptability, a mindset of lifelong learning, resilience, and grit. Continued education means that skill building is no longer limited to the classroom. In today’s economy, employers are less likely to search for candidates with degrees, a requirement that’s been reduced by over 46% over the last years, are hiring based on competencies and demonstrated skills.
The Future of Work
MIT professors David Autor and David Mindell alongside Elisabeth Reynolds, principal research scientist, assessed the labor market, job growth, emerging technologies and work to explore the relationship, capabilities and limitations of humans and machines. In their findings, they call attention to the fact that while AI systems push dramatic progress, they’re still limited to solving specific problems.
Adapting to entirely original circumstances and environments remains a challenge and the reason why companies will continue to rely on their human workforce in conjunction with specialized AI system integrations.
Nonetheless, companies can see the advantages of adaptation especially in industries like automotive, cybersecurity, ecommerce, medtech, fintech, aviation and more. In fact in the last four years, AI adoption has grown by 270% in a number of sectors.
The future of work, as it relates to humans, is beyond the conventional concept of work, as it opens a wider arm to technological advancement and the diverse possibilities within it.
In essence, artificial intelligence is maximizing outputs while minimizing redundancy of human tasks and errors. Adoption stands to make business more profitable, scalable and efficient while providing an added layer of support for employees and customers.
AI Automation Solutions
AI automation is introducing more efficiency to work thereby helping employers and their employees become more productive, empowered and happy. Examples of solutions driven through AI automations include:
- Customer Support: AI can offer faster solutions 24/7, helping businesses meet their customers’ needs around the clock. Automated systems like chatbots, natural language processing, voice and facial recognition and predictive personalization can also enhance customer experiences and create a more lucrative buying cycle.
- Data Analysis: As companies collect more and more data, being able to extract meaningful insights and synthesize large volumes of raw data is a huge advantage for enterprises. AI solutions can centralize data, provide new insights and stronger predictions and generate real-time reports.
- Cybersecurity: Whether a business is operating with the latest digital enhancements or not, data protection, especially when it comes to customer data protection is key. AI and machine learning algorithms can prevent identity theft, forgery, fraud, email phishing and other threats facing organizations in the digital age.
- Customer Predictions: Behavior predictions especially in e-commerce can lead to better conversion rates and stronger customer loyalty. Through AI enhancements in segmentation and predictive analytics, businesses can develop more persuasive marketing campaigns, better customer communications, accurate trend predictions (including that of supply and demand) and customer sentiment analysis
AI automation has a wide range of utilities including security, transportation, education, entertainment, robotics, and finance (such as cryptocurrencies). With these evolving advancements both business and employees need to be ready to integrate with new technologies.
Intrizen’s Tech Approach
At Intrizen, our strategy with technological integrations is a people-first approach. We work with key stakeholders to identify opportunities that can provide value for both the business and employees and create overall positive outcomes on a global scale.
Our multi-phased, multi-year approach helps companies to integrate new technologies and structures with legacy systems with minimal disruption to their workforce and workflow. Digital transformation is a tool to achieve a more efficient, cost effective workflow while ensuring preparedness for future challenges.
Speak to us about our Services for:
- Human Capital Strategic Business Advisory
- Vision, Discovery, and Roadmap
- Artificial Intelligence Implementations
- HR Technology Transformation
- HR Software Implementations
- Human Capital Governance Models
- Human Capital Change Management
- Ongoing Support for Optimization and Enhancement
Human experience over technology means providing efficiency and speed, value and quality, visibility and insights while being focused on impact and building a supportive framework for product development in areas of automation, AI, diversity, advisory and beyond.