If you’re a business leader in Canada right now, you no doubt know that training advancements are key to meeting the productivity challenge our nation faces. So, here’s the good news: In 2026, AI finally delivers on the ability to offer individually targeted learning and development across teams. For Canadian business leaders facing an unprecedented productivity crunch, AI upskilling is the most direct route to measurable improvements in workplace productivity.

And the best news? The real win isn’t merely faster training, it’s what it buys you back: the time and resources to invest in human skills that empower team productivity and performance. The skills that oil the engine of business: judgement, communication, coaching, and collaboration. In short, the human skills that supercharge productivity in virtually any organization!

The Big Shift: Personalized Training at Scale is Now Real

In 2026, the era of personalized learning has arrived, driven by a single yet profound capability leap: AI can now tailor learning to the job, the person, and the amount of need at scale.

That matters because the capability gaps we see most often at Redwood are practical workflow processes: 

• “My team needs to use the new CRM properly.”
• “Are the discrepancies in this mortgage application fraudulent?”
• “Is this training aligned with my organization’s compliance policies?”

AI now enables us to build training that is accessible on demand, with minimal downtime and maximum productivity gains. 

What AI Upskilling Can Do

To be clear, AI advances will not replace traditional L&D; they now enable job-specific skill development at unprecedented speed and efficiency. As a result, employees spend less time seeking answers, repeating training, or asking someone to show them how to do a task.

Here are just a few of the benefits we offer clients through AI upskilling:

• Faster ramp-up for new hires and internal moves
• Targeted refreshers (without forcing people to sit through what they already know)
• On-the-job support at every key decision point in the workflow
• Personalized practice and coaching

Think of AI as your ultimate power tool. In the right hands, it can work magic. In the wrong hands, it can alienate employees and sink morale.

The Killer Advantage: Reinvesting the Time and Resources You Get Back into Human Skills

At Redwood, we believe this is what really matters. When AI accelerates job-specific training, it frees up time and budget to double down on the human skills that drive productivity gains—judgement, communication, coaching, and collaboration.

That’s because productivity isn’t only about speed. It’s also about building a team that embodies the qualities that define leaders in any field:

• Fewer misunderstandings
• Better decisions
• Faster alignment
• Enhanced team communication
• Managers who can lead

If you’ve ever watched a technically brilliant project wrecked by unclear expectations, weak coaching, or unresolved team conflict, you no doubt appreciate that human skills are anything but “soft.” Instead, they are the hard-driving edge of productivity gains.

And the success of programs like Redwood’s CareerForce Skills, which leverages immersive workplace simulations to teach human skills to new grads and hires, provides strong evidence that human skills drive peak performance.

A Practical 2026 Upskilling Playbook for Business Leaders

If you asked me how to optimize AI to upskill your team right now, I’d advise you to begin with these six key moves:

1. Target the productivity issues you need to tackle immediately

When you look at the many productivity challenges we face, it’s easy to become overwhelmed, or even worse, paralyzed by indecision or conflicting priorities. Don’t. Keep it simple by starting with a few measurable targets, such as:

• Reduce rework
• Shorten onboarding time
• Improve sales conversion
• Cut cycle time in key workflows
• Build more inclusive and diverse teams

2. Separate “job skills” from “human skills”

Successful teams need both. But both require different approaches.

• Job skills: These skills are typically easier to define, measure, and train, especially with AI support.
• Human skills: These skills require awareness, practice, reflection, and manager reinforcement. At Redwood, we build complex, immersive simulations that enable learners to practice in a safe environment and receive immediate feedback on their choices. 

3. Use AI in those areas where it is most powerful as a teaching tool

• AI is brilliant at diagnosing what someone already knows vs. what they don’t. It can then serve up the right content, in the correct order, and at the proper depth to fill learning gaps.
• AI can provide real-time teaching within the learner’s workflow. Instead of being something employees do in addition to work, AI can support them while they work: prompts, checklists, examples, templates, simplified explanations, and micro-coaching are all great examples. Having real-time access to a coach, instructor, and mentor whenever required was a fantasy just a few years ago. Today, AI makes it real.      

4. Train the managers first

If managers are unequipped to coach, reinforce, and model your desired behaviours, your investment in learning will be wasted. At Redwood, we work closely with learners and managers to ensure learning is optimal and efficient.  

5. Build practice loops, not content libraries

The goal here is not “completion.” It’s competency! Personalized training at scale is for just-in-time learning. An ideal practice loop is as follows:

• Micro learning module
• Short practice
• Quick feedback
• Real work application
• Manager check-ins

6. Measure what leaders care about

One key characteristic of a learning culture is the ability to tie learning metrics to business outcomes, such as:

• Time-to-proficiency
• Error rates
• Customer satisfaction
• Throughput
• Employee retention

The Bottom Line: Personalized Training at Scale is Your Competitive Advantage

In 2026, AI-driven personalized learning is a powerful technology that Canadian organizations looking to bridge the productivity gap must fully embrace.

Use AI to accelerate learning job-specific skills. Then use the time and budget saved to invest in building the human skills that deliver the highest returns.

This year, the winning organizations won’t be the ones with the most training content. They’ll be those whose training is efficient and targeted, enabling people to work together, make better decisions faster, and execute more effectively!     

Be sure to check out my next blog, wherein I share the Redwood L&D strategies we have developed. Learn how our clients are realizing productivity and performance gains through enhanced team synergy – all driven by AI and human skills!