Work didn’t get harder because people forgot how to focus or stopped caring. It got harder because the systems around work changed without anyone stopping to redesign them. AI and new tools were piled onto old workflows, attention got fractured, and longer days became normal without better results.

At the same time, real opportunity is clustering around strong institutions like research universities, while the old promise that loyalty and hard work would lead to stability is quietly fading. The result is a workforce that’s still showing up, but doing so under rules that no longer protect focus, growth, or security. Let’s get into it

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For the first time in modern work, focus has become rarer than talent. The 2026 Global Trends and Benchmarks Report: How Work Gets Done, based on data from more than 140,000 workers across 17,000 organizations, shows that attention has emerged as the scarcest resource in the workplace, eclipsing skill in its impact on productivity and performance.

The average employee now manages only a few hours of genuine focus per day. This decline has little to do with motivation or discipline and far more to do with how work is structured.

For decades, productivity depended on a simple arrangement. Tools followed workflows, and organizations absorbed complexity on behalf of employees. Managers chose systems, standardized their use, and accepted short-term disruption in exchange for long-term clarity. When work slowed or confusion spread, leadership owned the fix.

Artificial intelligence disrupted that arrangement without formally replacing it. AI did not arrive as a structural substitute for existing systems. It arrived as an added layer. Workers now draft content in one tool, generate summaries in another, research in a third, and validate outputs in a fourth, all while continuing to manage email, messaging platforms, meetings, and project software that were never retired. The work itself did not shrink. The coordination required to hold it together expanded.

The report documents how this expansion shows up in daily behavior. Employees now touch an average of 18 different work applications each day. Digital workers toggle between tools nearly 1,200 times per day, losing close to four hours each week simply reorienting themselves after each switch. That time does not register as wasted effort. It disappears into mental resets, validation, and the cognitive work required to keep fragmented systems coherent.

Organizations embraced AI widely but shallowly, mistaking adoption for integration. While more than 70 percent of workers now use AI tools in some capacity, most spend only a small fraction of their workday inside them. Hybrid teams stand apart, devoting significantly more time to AI because they rebuilt workflows rather than adding tools to an already crowded stack.

The difference matters. When AI sits at the edges of work, employees absorb the friction. When AI is embedded inside workflows, systems absorb it. The report frames 2025 as the year of experimentation and 2026 as the year when results must become visible. Adoption without redesign produces noise rather than efficiency, just as more tools without fewer meetings produce longer days rather than better outcomes.

This dynamic helps explain why extended work hours now appear less as dedication and more as warning signals. Nearly one in three managers logged at least one 50-hour workweek, even as decades of research show that output plateaus well before those hours while health risks rise sharply beyond them.

Perhaps the most revealing shift lies in how productivity itself is now measured. Focus time, once assumed as a background condition, has become a metric to be tracked and defended. Treating attention as a core performance indicator is an implicit acknowledgment that it no longer survives by default.

If you’re navigating this reality, the conclusion is both personal and structural. When work feels busier without becoming more effective, the problem is not a lack of discipline or adaptability. It is the predictable outcome of organizations that experiment with tools without deciding how work should actually flow.

Productivity will not return through better prompts or longer days. It will return when organizations reclaim responsibility for designing workflows, limiting tool sprawl, and treating focus as a resource worth protecting. Until then, AI will continue to promise efficiency on paper while quietly taxing attention in practice, leaving workers to carry the invisible costs.

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Why would NVIDIA go to New Jersey for its next statewide partnership? Maybe it’s because New Jersey already has the infrastructure needed for data centers, like the ones in areas like Whippany, NJ. Perhaps there are corporate tax incentives and discounts. I argue that the biggest reason is the presence of research universities. 

Consider Silicon Valley as an example. A primary reason why the biggest tech companies have been founded or headquartered in Silicon Valley is the area’s proximity to Stanford University, an elite research institution. Similarly, many tech companies opened offices in Austin, Texas because of the University of Texas [at Austin]. There’s also Silicon Alley in New York City, which leverages the talent at NYU, Columbia University, and CUNY.

What this should teach everyone about college is that research institutions of higher education are where the opportunities are. That’s where the majority of investments in education go. That’s where young talent should go if they want durable careers. Students don’t have to start there. They can go to community college first. But I surely encourage most to get a four-year degree from those research institutions. 

For those who already started their careers, maybe it’s time to go back for a professional degree at one of those research institutions. Perhaps it might make sense to work in academia or higher education administration at a research institution. 

And so the big takeaway for everyone is that once you hear about a breakthrough innovation or partnership at a college/university near you, perhaps that’s your sign to pivot your academic or professional career. 

For decades, we were taught a simple story about how the job market worked. Work hard, build skills, stay employable, and the system would reward effort with stability or upward movement. Employers, for their part, promised opportunity in exchange for loyalty and performance. That bargain was never perfect, but it was legible. 

The State of the Global Workplace 2025 report captures a workforce in transition, not because workers have changed, but because the structure around them has. The United States still reports some of the highest employee engagement in the world. Roughly one in three American workers say they feel engaged at work. That headline number, however, masks a more consequential shift. Engagement has stopped rising, stress has hardened into a daily condition, and half of the workforce is either looking for a new job or preparing to leave when conditions allow. It is a signal that the market itself is being restructured while most workers remain focused on individual performance.

In the United States, engagement remains high by global standards, but daily stress now affects half of all workers, placing the country among the most strained workforces in the developed world. At the same time, confidence in the job market has fallen sharply since 2022, even as job-seeking intent remains elevated. Workers feel pressure to move, but less certainty about where to go.

The most revealing data point sits with managers, a group we examined in detail in Chapter 59. As discussed there, manager wellbeing has declined faster than any other group, and the consequences do not stay contained. When managers disengage, their teams follow. Gallup’s data show this relationship holds across countries and industries. The people once tasked with translating strategy into stability are now absorbing volatility without the authority or resources required to manage it. Organizations have layered new expectations onto old roles without redesigning how decisions get made or how accountability flows.

Other regions illustrate the tradeoffs. Europe shows lower engagement but also lower stress and lower job-seeking behavior. The system moves more slowly, but workers face fewer sudden shocks. In parts of Asia and Africa, job mobility reflects necessity rather than opportunity. Australia and New Zealand mirror the U.S. pattern, with historically strong engagement now eroding under economic pressure. The American model stands out for its intensity. High effort, high expectations, and increasingly thin support.

The warning in this report is not subtle. Workers who continue to think of their careers as a series of roles inside stable organizations will find themselves exposed. Visibility matters more than loyalty. Transferable skills matter more than tenure. Understanding how decisions are made inside your organization now matters as much as doing your assigned work well. The market is being rewritten around speed, flexibility, and experimentation. Transparency and accountability have not kept pace.

For individual workers, this means the burden of interpretation has shifted. You cannot assume the system will explain itself. You must read it, question it, and plan accordingly. The data in this report do not describe a broken workforce. They describe a workforce still performing while the ground beneath it moves. The risk is not that people will stop working. It is that they will keep working under rules that no longer protect them. That is the real restructuring underway, and it affects anyone who depends on a paycheck, not just those at the edges of the economy.