Mid-Year Check: The State of AI in the Workplace — June 2023

Six Months That Changed Everything

When we wrote our January analysis of ChatGPT's impact, we knew AI would be significant. We underestimated how fast. Here is what six months of data, customer conversations, and market observation have taught us.

The AI adoption curve for workplace tools is the steepest we have seen for any technology category. For context, it took cloud computing five years to reach the penetration AI tools have achieved in six months. The implications for every aspect of work — including how we measure and support it — are profound.

What We Got Right

Looking back at our January predictions:

Outcome-based measurement would become essential. Confirmed. Every customer conversation in Q2 has included some version of "our old metrics no longer work." The shift from activity tracking to outcome measurement is no longer a philosophical position — it is an operational necessity.

AI adoption would be uneven. Confirmed, but the gap is narrower than expected. Our uneven adoption analysis was based on January data showing 43% adoption. By June, that has risen to 67%. The laggards are catching up faster than we predicted.

Regulation would accelerate. Confirmed. The EU AI Act advanced significantly. CPRA enforcement begins next week. Multiple state-level AI bills are in committee. The regulatory environment is tightening exactly as we anticipated.

What Surprised Us

Surprise 1: AI is changing management as much as individual work. We focused our January analysis on how AI changes individual productivity. The bigger story may be how it changes management. As we explored in our AI-augmented leadership guide, AI tools are enabling a shift from reactive to proactive management that benefits entire teams, not just individual contributors.

Surprise 2: The mental health story is nuanced. We expected AI monitoring to increase anxiety. The APA research showed it can decrease anxiety when implemented transparently. This was genuinely surprising and has reshaped our product thinking.

Surprise 3: The SaaS consolidation has not happened yet. We predicted significant M&A in the monitoring space. It has not materialized in H1. Our revised view: consolidation will accelerate in late 2023 and 2024 as the gap between AI-capable and AI-absent platforms becomes undeniable.

H2 2023 Outlook

Looking ahead to the second half of 2023:

• AI adoption will plateau around 80% of knowledge workers by year-end, with the remaining 20% in roles or industries where AI tools are restricted
• Predictive analytics will go mainstream. Expect multiple monitoring vendors to announce predictive features. Quality will vary enormously.
• The governance gap will become urgent. As AI monitoring becomes more powerful, the absence of governance frameworks will create visible incidents that accelerate regulation
• Employee demand for data access will grow. The employee dashboard movement will become a competitive requirement, not a differentiator

At Teambridg, we are executing on our AI roadmap with predictive analytics coming in Q3 and smart recommendations in Q4. The first half of 2023 confirmed our strategic direction. The second half is about execution.