Artificial intelligence, automation, and digital connectivity are fundamentally reshaping how work is organized. Despite this, corporate workplaces, due to how they’re structured, are struggling to keep up.

According to EY, the average lifespan of an S&P 500 company has plummeted from over 65 years in the 1940s to just 15 years today. The speed of technological progress is outpacing the adaptability of our work systems, many of which are designed for a slower and more predictable era. Businesses that once thrived on longevity and stability must now embrace agility, continuous learning, and dynamic workforce models.

As newly emerging technologies like AI continue to evolve, human-AI collaboration, sustainability, and deeper integration of technology with human ingenuity will become increasingly important in the workforce. The mandate for business leaders is clear: Organizations must move beyond outdated hierarchies and rethink work structures in a way that empowers both people and machines.

The industrial revolution moved slowly. This one won’t

The integration of AI-based technologies is already influencing the work humans do and how they do it. Mustafa Suleyman, the CEO of Microsoft AI, coined the term “artificial capable intelligence” (ACI), which is the point at which AI can solve complex problems without human input. Within the next couple of years, we are likely to see the rise of AI agent swarms and multiple autonomous systems working together to achieve successful outcomes.

This doesn’t mean humans will become obsolete, but the role of human oversight is shifting from task execution to resource allocation and strategy. Dan Shipper, CEO of Every, calls this shift a move from the knowledge economy to the allocation economy, which he defines as “how well you can allocate and manage the resources to get work done.” Rather than simply managing work, people will need to learn how to best allocate work to AI and then manage and audit it. This is a new way to think about work for the majority of workers today.

Unfortunately, the cumbersome way today’s corporations are structured makes it difficult for them to continuously upskill their workforces in lockstep with technology advancements. Organizations are wired for efficiency and scalability, not for learning and adaptability. And, the current labor market dynamics are only exacerbating this AI skills challenge.

A radically new labor market

The U.S. labor market is undergoing a profound transformation, reshaping the way we think about work and employment. While job growth remains steady, there are significant shifts in workforce participation and hiring practices. Labor force participation is lagging behind pre-pandemic levels, with millions of working-age adults choosing not to actively engage in the workforce. Many of these individuals have left due to skill mismatches, lack of training opportunities, or changing priorities in the wake of the pandemic.

Partly as a result, businesses are increasingly facing a skills gap that’s compounded by the number of job openings outpacing the available talent. In fact, there are currently 9 million job openings in the U.S., but the number of unemployed individuals actively seeking work remains much lower, highlighting the disconnect between employer needs and workforce availability.

This shift is further driven by the rise of freelance and contingent work, which is rapidly becoming a mainstream career choice. Today, nearly 40% of the U.S. workforce is engaged in contract or freelance work, a number that is expected to reach 50% by 2050. This trend is especially pronounced among younger generations, such as Gen Z, who are increasingly gravitating toward portfolio careers instead of traditional full-time roles. At the same time, the hiring process has become more impersonal, with automation and ghosting trends leaving job seekers frustrated. As businesses struggle to navigate these dynamics, workforce participation continues to evolve in ways that challenge both employers and employees alike, demanding a new approach to talent acquisition and retention.

Skills-driven guilds as the future of work

As AI adoption accelerates, traditional corporate training programs are proving too slow and misaligned with real-world demands. Meanwhile, companies still rely on full-time employment models that fail to support today’s increasingly independent and project-based workforce.

The solution? Skills-driven guilds (SDGs).

SDGs function as modern, tech-enabled talent ecosystems that bring together workers, businesses, and educational resources into specialized communities. Unlike traditional hiring, SDGs provide a structured yet flexible career framework, where professionals continuously upskill and connect with new opportunities, while businesses tap into expert talent exactly when they need it.

Upwork’s recent qualitative research with Wikistrat invited a group of 20 experts to forecast how work structures are likely to evolve through 2030. One area of consensus involved the notion that companies will have fewer full-time employees and more freelancers who they hire for specific skills and limited projects. However, the experts acknowledged that assembling these teams will require the development of new talent management systems that are low-friction, trustworthy, and transparent. As work becomes more dynamic and project-based, rigid corporate structures are failing to support workers or businesses effectively.

How skills-driven guilds work in practice

A skills-driven guild operates much like a work marketplace, but with built-in training, trust, and ongoing engagement. Today, platforms like Upwork already function as proto-SDGs by offering businesses access to specialized freelance talent on demand.

Here’s what makes SDGs different:

• Verified, high-quality talent: Workers in SDGs demonstrate their expertise through past projects, AI-driven assessments, and peer reviews—not just traditional degrees or résumés.
• Continuous learning and upskilling: SDGs offer a structured learning path, where professionals train in high-demand skills alongside real-world work, often in partnership with companies or training providers.
• Community-driven knowledge sharing: Members gain access to mentorship, career resources, and industry connections, similar to traditional professional guilds—but without being tied to a single employer.
• Faster hiring and reduced friction: Businesses instantly match with the right professionals and integrate them into projects seamlessly, cutting down the time and cost of hiring.

Who pays for a guild? Why would companies invest?

The economics of SDGs work differently than traditional employment. Instead of long-term contracts and overhead costs, businesses pay for access to curated, highly skilled talent only when needed. A couple different models could include:

• Enterprise-sponsored guilds: Large organizations could fund guilds in exchange for preferred access to top professionals in AI, engineering, or creative fields.
• Freelancer-driven guilds: Independent professionals contribute to a guild for networking, training, and job opportunities, similar to professional associations.

Companies that invest in SDGs not only secure a pipeline of skilled workers but also gain a strategic advantage—future-proofing their workforce against technological disruptions while maintaining agility in a rapidly evolving market.

Building an AI-empowered workforce that thrives

The shift toward more flexible, skills-driven employment is already underway. Forward-thinking organizations are embracing fractional executive roles, AI-assisted workforce augmentation, and talent marketplaces to stay competitive. Those who invest in skills-driven guilds will not only attract the best talent but also future-proof their workforce for decades to come.

The organizations that thrive will be those that see skilling as an ongoing journey, not a one-time event. Workers who continuously adapt and upskill will lead the next wave of innovation, ensuring economic resilience in an era of rapid disruption.

The question is no longer if the traditional corporation will evolve, but how quickly leaders are willing to build a skills-based, networked future of work.

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.

This story was originally featured on Fortune.com