How to Future-Proof Your Workforce for AI

Thinking in skills and desired traits frees businesses and workers from obsessing over whether a job stays or goes. But they’re really collections of skills and abilities — Lego pieces —that can be reassembled creatively. I think of this as AI’s “Three-Body Problem” — a nod to the famously unpredictable physics phenomenon, where adding a third interacting body makes future trajectories chaotic and impossible to forecast. Similarly, three interacting factors — AI capabilities, adoption speed, and job creation potential — make AI job predictions uniquely challenging. MIT’s Daron Acemoglu estimates that AI will increase U.S. productivity by just 0.05% annually over the next decade — based on the idea that most companies won’t change how they operate.

You can achieve this by conducting actual surveys or case studies and publishing usage data. You can also share benchmarks, market insights or industry reports and add relevant graphs, charts and references to support your claims. The result is a fast, efficient way for you to get more value from our content. As more companies cite AI as a main driver for layoffs, IT pros are left to wonder whether career anxieties are being realized, or the industry is simply adjusting to another new paradigm. This week we reported that AI is beginning to reshape the IT job landscape as layoffs rise.

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Use page titles that align with common search queries, such as “Best Service in City 2025,” to increase relevance. Organize your content with clear headings and concise, well-structured answers. Just because AI can automate a job — or parts of one— doesn’t mean it will. The pace at which we integrate AI into the workplace will be wildly uneven. Others will be slowed by regulation, union rules, institutional inertia, or cultural preferences.

Optimizing For Branded And Intent-Based Search Phrases

When you do this often, AI will recognize your website alongside its established sources and will readily use your website’s resources when relevant queries come up. Make use of forums like Reddit, Stack Overflow, Quora or more niche forums. Look for authority sites, respected industry publications and possible press announcements on reputable news outlets within your niche to publish in and link back to your piece. To help your company stay ahead of the curve, here are seven tried-and-true tactics for increasing visibility in generative AI tools. This caused our CIO readers to ask why it is expensive to run AI on public cloud?

Evaluate not on a per-seat, license or subscription basis but by capacity and efficiency. Simply put, you want to understand the volume of work an AI agent can actually accomplish, along with the complexity it can remove. Software as a service (SaaS) was a revolutionary subscription-based means of delivering work tools online, available to everyone but with broad features and limited capabilities. To avoid any potential issues, carefully review any information and calculations AI provides. It’s also always wise to consult with a qualified tax professional who can provide personalized guidance and ensure ongoing compliance with current regulations.

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Dennis added that, as the technology evolves, AI may automate these processes with improved accuracy and efficiency. She also noted that in the near future, machine learning could draw from historical financial data to provide more personalized financial advice. Traditional SaaS platforms are evolving into agent marketplaces, where agentic apps can source, invoke, and orchestrate AI agents across multiple systems to execute complete workflows.

Take a look at what your company uses and how AI agents could remove ongoing, rules-based functions. When doing so, pay particular attention to what software might have interoperability challenges or need an application programming interface. “This includes not just agents themselves, but also the critical components that make agents truly valuable.” In today’s fast-paced world, AI has moved from being a corporate buzzword to a hands-on tool for everyday life.

AI will create new jobs — but how many, and what kind, remains unknown, especially if it quickly automates even the roles it helps create. Regardless, how your company will work with software in the future is changing. Now is the time to learn what you can about agentic AI, understand how it can advance your business, and dip your toes in the water. It’s time to bring in the future of software, and the sooner you do, the more distance you’ll put between your competitors.

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Ensure that you include FAQs, glossaries and structured service and product pages written in clear, authoritative language. 15 ABC asked both Bhakta and Noyola how they see this preparing them for a career in business whenever their time at A&M is finished. First, data needs to be classified correctly and also within the appropriate context.

• Now is the time to learn what you can about agentic AI, understand how it can advance your business, and dip your toes in the water.
• “The winners in this AI era will be those who stop managing roles and start orchestrating skills,” said Joanna Riley, CEO of Censia.
• Predicting where and how fast adoption will happen is tough, because it’s ultimately a question of human behavior.
• Agentic AI can benefit and impact many areas of business, so be sure to involve leaders from legal, operations and IT in evaluations.
• In industries with little financial pressure to cut costs, there may simply be no urgency to change.

Through AI agents, they anticipate that 15% of common business decisions may be answered autonomously. The trend quickly took off, with research firm Gartner recently predicting that as much as half of all business decisions will be at least partially automated by agents by 2027. From my own experience, I’ve learned the ‘how to’ has become a prominent focus for clients and organizations.