When every employee works with the power of a team

What is already happening inside your teams, what it changes — and why it's a leadership issue.

A sales rep preparing proposals with ChatGPT. An executive assistant summarising a 30-page document in two minutes. A marketing manager generating ten content variations instead of one. An accountant automating bank reconciliations.

These scenes are already playing out everywhere, including in small and mid-sized businesses. Often without any framework. Sometimes without management even knowing.

The "augmented employee" — a team member who uses artificial intelligence to multiply their capabilities — is not a futuristic concept. It's a reality that is taking hold, with or without leadership's approval.

A massive, silent shift

The numbers are unambiguous. According to the 2024 Work Trend Index published by Microsoft and LinkedIn — a survey of 31,000 people across 31 countries — 75% of knowledge workers (that is, employees whose work primarily involves processing information: managers, sales teams, administrators, marketers, and others) are already using generative AI at work.

Even more striking: 78% of these users are bringing their own tools, a phenomenon analysts call "BYOAI" — Bring Your Own AI. That figure rises to 80% in small and mid-sized businesses (Microsoft / LinkedIn, 2024 Work Trend Index).

This is not a generational trend. The study shows that all age groups are involved, from the youngest (85% among Gen Z) to the most experienced (73% among baby boomers).

In other words, your employees are not waiting for a green light. They have already started.

What "augmented" actually means in practice

The term may sound abstract. In reality, it covers three very concrete levels of impact.

Accelerate. Completing in 20 minutes what used to take 3 hours. This is the most immediate level. Drafting a meeting summary, condensing a report, preparing a tender response, producing a flawless email in another language. A controlled experiment conducted by GitHub and Microsoft Research measured that developers using the AI assistant GitHub Copilot completed their tasks 55.8% faster than those who did not (Peng et al., 2023). This speed gain is not unique to coding — it applies to most information-processing tasks.

Elevate. Accessing skills you didn't have. A sales rep who doesn't speak English can now prepare a bilingual proposal. A business owner with no data background can query sales figures in plain language. An HR manager can draft a job description aligned with industry standards in minutes. AI doesn't replace expertise — it gives access to those who didn't have it.

Rethink. Changing the very nature of certain roles. This is the deepest level. When a communications officer shifts from producing content to strategically overseeing AI-generated content, the role changes fundamentally. They are no longer doing the same job — and they are potentially creating more value than before.

The evidence is there — including for SMBs

Studies converge. According to a Salesforce survey of 3,350 SMB leaders, 91% of those using AI report increased revenue, and 87% say it helps them scale operations (Salesforce, Small & Medium Business Trends Report, December 2024).

On the employee side, advanced AI users — those Microsoft calls "power users" — save over 30 minutes per day and 90% say AI makes their workload more manageable (Microsoft / LinkedIn, 2024 Work Trend Index).

At Accenture, a randomised controlled trial involving 450 developers showed that 90% felt more fulfilled in their work when using GitHub Copilot, and 95% said they enjoyed coding more (GitHub / Accenture, 2024). This isn't just about productivity — it's about satisfaction and retention.

And according to Goldman Sachs, 80% of small businesses that have adopted AI say it strengthens their teams rather than replacing them (Goldman Sachs, 10,000 Small Businesses Voices, August 2025). Nearly 40% even say AI will enable them to create new jobs.

The trap: letting it happen without a framework

While the benefits are real, the risks of a laissez-faire approach are equally so.

When employees equip themselves without guidance — what Microsoft calls "shadow AI" — problems accumulate. Confidential data gets sent to uncontrolled third-party tools. Output quality varies wildly. Usage stays siloed, with no collective learning. And an internal divide grows between those who master these tools and those who feel left behind.

The numbers confirm it: 52% of employees using AI at work are reluctant to admit it, and 53% fear it makes them look replaceable (Microsoft / LinkedIn, 2024). Meanwhile, only 39% of AI users have received any training from their company. And just 25% of employers planned to offer AI training in 2024.

On the SMB side, 42% say they lack the resources and expertise to deploy AI properly (Goldman Sachs, 2025). The World Economic Forum identifies the skills gap as the top barrier to transformation, cited by 63% of employers (WEF, Future of Jobs Report 2025).

What this changes for business leaders

AI doesn't eliminate the need for management. It transforms it.

The leader's role is no longer just about getting things done. It's about setting a clear direction for how AI is used within the company: defining what it should and shouldn't do, identifying the roles and processes where augmentation creates the most value, and above all creating the conditions for teams to upskill — together, not each in their own corner.

This is all the more urgent as the gap between those who structure this shift and those who let it drift is already widening. According to Salesforce, growing SMBs adopt AI at 83%, compared to 55% among declining ones. And 85% of employers plan to prioritise workforce upskilling in the years ahead (WEF, 2025).

The World Economic Forum further estimates that by 2030, 70% of skills used in most jobs will have changed (LinkedIn, Work Change Report 2025). And professionals with verified AI skills earn an average of 25% more than their peers (PwC, AI Jobs Barometer 2025). Augmentation is not a luxury — it's a competitive advantage, for both the business and the individual.

The advantage is here, now

The augmented employee is not an option to activate someday. It's a movement already underway, unfolding within your teams with or without you.

The advantage today is no longer in the tool — everyone has access. It lies in the ability to orchestrate augmentation coherently, aligned with the company's strategy. SMBs that embrace this shift are not just improving their productivity. They are changing category. They are beginning to operate with the power of a much larger organisation — without the cost.

But this doesn't happen on its own. It requires understanding what is changing in your environment, assessing where your teams and processes stand, and building a progressive, realistic ramp-up tailored to your reality.

That is exactly the approach we carry with IMPAICT.

Sources

• Microsoft / LinkedIn, 2024 Work Trend Index (May 2024, 31,000 people, 31 countries)
• GitHub / Microsoft Research, "The Impact of AI on Developer Productivity" (Peng et al., 2023)
• GitHub / Accenture, "Quantifying GitHub Copilot's Impact in the Enterprise" (2024)
• PwC, AI Jobs Barometer 2025
• Salesforce, Small & Medium Business Trends Report, 6th ed. (Dec. 2024)
• Goldman Sachs, 10,000 Small Businesses Voices Survey (Aug. 2025)
• WEF, Future of Jobs Report 2025
• LinkedIn, Work Change Report 2025