THE FUTURE OF WORK
When Elon Musk talks, people listen. But his recent prediction during an interview that AI could eliminate work within 10 years has been among his most contentious statements, sparking global debate and causing widespread fear among the public.
So, how close is he to the truth? Will traditional business models collapse, and employment be optional within a decade, as he forecasts? As vice president of AI strategy at a global enterprise AI company, I have worked in the field for a long time. To me, the answer is not simply black or white. I think the goal of our work will change most of all.
Yes, AI is reshaping how we work and it is already transforming offices across the world. And yes, in some instances entire roles will be replaced, but that does not necessarily mean mass unemployment. AI and other sophisticated technology tools are having a massive impact on businesses across all industries by increasing productivity, efficiency, cost savings and even job satisfaction. Yet these productivity gains are not translating into economywide job losses at anything close to the scale Musk implies. That raises a more interesting question: Where are the gains showing up instead?
Let’s take a look.
MONEY IN, MONEY OUT
Every sector, from manufacturing and logistics to healthcare and insurance, has one important thing in common: paying the bills and getting paid. Accounts payable and invoice processing are the most document-intensive business processes, making them prime candidates for automation.
Even entry-level office employees do not want to spend the day typing invoice numbers, dates and amounts into spreadsheets; assigning codes; cross-referencing data with purchase orders; and ensuring compliance. With accounts payable (AP) automation, organizations are seeing 81% faster processing times while reducing costs by 91%.
Modern AI-powered solutions apply machine learning, neural networks and process intelligence to handle invoices more intelligently and quickly. They enter data, verify details, route approvals, process payments and organize records for future reference, while improving accuracy and visibility and helping organizations capture early-payment discounts. They also integrate with enterprise resource planning (ERP) and accounting systems to create end-to-end workflow automation.
AP automation can also improve procure-to-pay, or P2P, processes. Advanced AI models can read, reason and learn from invoices and purchase orders. They interpret context and relationships among documents, such as how a purchase order connects to a receipt or invoice and where it fits within the broader P2P process. These AI models can also learn and adapt over time, and your P2P operation becomes capable of making intelligent decisions without constant human intervention.
SAVING LIVES THROUGH OFFICE AUTOMATION
This may seem a far-fetched statement, but hear me out. When people think about automation in health care, they may think of robotics used in minimally invasive surgery or advanced medical procedures. However, it’s the back office and paperwork digitization that’s also having a huge impact on patient care by streamlining scheduling, insurance approvals and referral management.
Referral management relates to patients requiring assessment or treatment by specialist doctors outside their primary medical group. The majority of these referrals are still transmitted by fax or paper form, and often arrive late, incomplete or not at all. As a result, appointments can expire, diagnoses can be delayed and patients can lose valuable time.
Automated solutions can automatically read the referral content, validate it and import it directly into the relevant systems. They can also provide feedback to the appropriate specialist staff. This creates traceable processes and more reliable access to care. Digitizing patient records can eliminate 80% of paper files being dragged around the hospital by nurses, which can result in a huge reduction in waiting times. It can speed access to critical patient information, saving organizations money by avoiding paper copies and help organizations expedite clinical and outpatient appointments. For cancer patients, that is critical.
AI AGENTS
One of the most prominent AI developments in recent years is agentic AI. AI agents are driving innovation across industries by integrating technologies like intelligent document processing (IDP) to automate and optimize complex tasks. Here are several examples of how AI agents are making employees’ work easier:
- Data Automation: From financial statements to contracts, agents leverage tools like document AI to extract and process data accurately at scale. For example, financial agents can retrieve ERP data, process reports and ensure compliance autonomously.
- Supply Chain Management: Using process intelligence, agents can predict demand, optimize inventory and manage logistics. They can dynamically adjust to disruptions and delays to keep operations on track.
- Know Your Customer Compliance: In an agentic workflow, AI agents do not just detect problems, they resolve them. If a client submits an expired driver’s license, for example, an AI agent can trigger a personalized email requesting an updated document. Once the new document arrives, the agent can validate it and update the client’s risk profile, all without human intervention.
- Fraud detection and compliance: Agentic AI can address document fraud by operating like a digital forensic assistant. It works ahead of time to spot, evaluate and shut down fake credentials. It can think through conflicting information, check third-party databases and apply security fixes without waiting for an employee to tell it what to do.
- Workflow Orchestration: For cross-system workflows, agents can combine IDP to extract data, process intelligence to validate compliance requirements and robotic process automation, or RPA, to automate tasks such as claims approvals or exception escalations.
Agentic AI systems can drive efficiency, reduce costs and enable faster decision-making, giving businesses a competitive edge. With advanced capabilities such as memory, planning and reasoning, agentic systems offer unmatched personalization, higher customer satisfaction and better scalability.
COLLABORATION
Given concerns about AI eliminating jobs, better collaboration is a benefit you’d least expect from office automation. However, time and time again, organizations tell me that streamlining their procedures and processes has led to better teamwork and a more connected workforce.
The key is making information easier to access, share and act on, rather than leaving it scattered across inboxes, spreadsheets, paper files or the knowledge of individual employees. It means employees are working from the same up-to-date information and not relying on colleagues to find a document or explain where information is stored.
Automated workflows also mean faster handovers and fewer ping-pong emails for status updates such as chasing approvals and requests. One of our surveys found that employees can spend eight hours a week just looking for information in emails, PDFs and spreadsheets to complete a task. Digitized records and cloud-based workflows support knowledge sharing because information extracted from documents becomes searchable. Employees can find what they need without manually digging through files.
But, of course, any automated system may also need human judgment to improve accuracy, safety and ethical compliance. When data-validation models flag exceptions, those cases can be routed to a human operator for manual verification through a human-in-the-loop, or HITL, process. Experienced employees can work together to identify and correct errors that algorithms miss and provide feedback that allows models to improve over time.
CREATIVITY
We have all heard of the phrase: “I don’t even have time to think!” Well, a little bit of AI can help with that. And I’m not talking about the use of ChatGPT or Claude to help you come up with a great idea, it’s about having more time and space to use your own brain.
When routine processes become faster and less expensive, teams can devote more time to experimentation and continuous improvement rather than simply maintaining existing processes. There is more time for brainstorming and employees are able to exchange ideas and deploy original thinking.
However, it’s about more than just gaining a few extra hours in the workday to think. Research shows that when employees can focus on higher-value, more meaningful work, a sense of pride and purpose develops. Implementing tools that empower the workforce can set a positive tone across the organization. Companies that prioritize well-being are better positioned to attract and retain talent.
THE TAKEAWAY
Elon Musk’s view on the future impact of AI is certainly bold. However, the claim that work will become optional within 10 years seems more like a provocative prediction than a practical forecast.
In my opinion, roles will change, jobs will evolve and companies will need to rethink how people and technology work together. But that does not necessarily mean jobs will become obsolete. Instead, automation will free employees from repetitive tasks, giving them more time to focus on creativity, collaboration and higher-value work.
I am more inclined to support the recent statement from Meta CEO Mark Zuckerberg who published a 6,500-word essay titled “The Future is for Everyone”. He argues that advanced artificial superintelligence should be a source of individual empowerment and not be centralized and restricted to a few institutions. He said, “Humanity has witnessed many transformative advances. Each time there is fear that people will be left behind. But each time humanity has come out with more people sharing greater prosperity, health and freedom. We believe this will be true with AI as well, and the abundance of the future can be shared by everyone.” I do too Mark, I do too.
Maxime Vermeir
Maxime Vermeir is Senior Director of AI Strategy at ABBYY.