Leaders are investing in generative AI tools for the workforce. But many employees — particularly nontechnical employees (those who work outside of IT, software engineering, data analytics, or other technical roles) — aren’t prepared to use AI productively and safely. Field this survey to learn how ready your employees are to use AI and the competencies they need to improve to raise their readiness. You can then invest in learning and engagement systems to close the gap.

The organizations capturing real value from AI are not the ones with the best technology. They are the ones whose people have the mandate to challenge existing work, the methodology to redesign it, and the structural agency to make reinvention stick. Based on in-depth interviews with David Walker, former CTO of Westpac and chief technology architect of DBS Bank, this case study draws on a decade of digital reinvention at DBS and Westpac to identify five organizational components that create measurable AI value.

Employers aren’t successfully equipping their employees with the understanding, skills, and ethics to succeed in a world of AI. And it’s becoming a bottleneck that inhibits productivity and return on AI investment. We measure this with AIQ, Forrester’s artificial intelligence quotient, and we’ve got alarming new data pointing toward one conclusion: Employees lack sufficient AIQ to thrive in the era of AI. We’re helping dozens of clients survey thousands of employees to understand their current AIQ. But once armed with that data, how do you design an effective AI learning approach?Join James McQuivey, PhD, as he leads a discussion with J. P. Gownder and Katy Tynan based on their years of guiding clients through workforce technology and now AI readiness decisions, drawing from their newly updated research on AI learning that you can act on now.Key takeaways: Learn what AIQ is and how it can help you understand your employees’ AI readiness. Understand why training isn’t the same thing as learning, and how to promote the latter. Hear what dozens of peer companies are doing to design AI learning approaches. Learn what works (and what doesn’t) in learning program design.Get a shortlist of things you can do right now to improve AI readiness in your team.Target audience level: all levels

Organizations deploying workforce AI tools too often fail to drive productivity or business value. Frequently, their employees lack the prerequisite skills, understanding, and ethical awareness to use the tools successfully. To remediate this gap, organizations must develop a successful learning and engagement program focused on AI. In this report, we outline how to evaluate where your organization’s program stands, uncover weaknesses, and discover opportunities you can pursue to improve its effectiveness.

Although workforce AI solutions are now commonplace, the leaders of organizations rolling them out have not yet risen to the challenge of employee training, upskilling, and learning. Employees have numerous gaps in their AI understanding, skills, and ethics, and those gaps won’t be filled by an hour in a classroom or online training alone. Instead, leaders need to tap into learning theory, weaving together formal, social, and on-the-job learning approaches to help employees truly gain mastery over workforce AI — and maximize the ROI of their organizations’ investments.

Forrester’s top 10 emerging technologies for 2026 describe broad categories. The 10 additional emerging technologies described in this report drill into many of our top 10, providing more specific capabilities emerging in tools and platforms. They span AI-infused experiences, such as AI browsers and personal AI devices, and physical automation through aerial drones, humanoid robots, and world models. Finally, quantum security and battery energy storage systems help shore up infrastructure stress points in the security and energy domains. This report explains what each technology is, where it connects to our top 10, and what business value it offers.

To harness the impact of AI, CMOs must navigate a fundamental tension: They need a clear, growth‑anchored vision while also making room to lead through the uncertainty this disruptive technology creates. Doing so requires CMOs to own the role of change leader in order to become a better growth leader — constantly striking the right balance between AI automation and the human touch. CMOs: This is no easy feat, but rest assured, we’ve got your back. This report helps CMOs (B2B, B2C, and B2B2C) understand AI’s current and future impact on their responsibilities and how to prepare for a new level of growth accountability.

Recent news stories are a reminder to evaluate AI "miracles" with a dose of healthy skepticism.

Leaders today are working hard to deploy AI, but benefits seem elusive, either unrealizable or long in coming. All the while, the AI market itself continues to morph. This report alerts you to five hidden signals shifting the workforce AI market, along with tactics you can employ to take advantage of them. Attuning yourself to these signals will help for years to come, as they take into account AI market innovations on the horizon. Respond to these signals to get faster and healthier AI adoption, leading to higher tech-fueled productivity.

Employers aren’t successfully equipping their employees with the understanding, skills, and ethics to succeed in a world of AI. And it’s becoming a bottleneck that inhibits productivity and return on investment.