The Closure of a Tech Innovation Fund and the Evolving Investment Landscape

The BMO ZAUT ETF was liquidated in 2023. As of 2026, capital is rotating from concentrated AI bets to broader industrial tech, with a focus on corporate debt and global adoption.

The BMO MSCI Tech & Industrial Innovation Index ETF (ZAUT) has now been formally dissolved. BMO Asset Management initiated the fund's termination in late 2023, with the final liquidation occurring on December 15, 2023. This move permanently removed a specific investment vehicle from the marketplace, one that had targeted companies driving progress in autonomous systems and industrial innovation.

A Look at the Sector Today

The fund's objective was to track the performance of the MSCI ACWI IMI Autonomous Technology & Industrial Innovation Index. Its strategy centered on firms generating substantial revenue from transformative technologies, including artificial intelligence, machine learning, and automation within manufacturing and energy sectors. As we assess the state of innovation-focused investing in March 2026, the market dynamics continue to shift.

Observers note that the autonomous technology sector remains highly active even in the absence of this specific ETF. A key development is the accelerating adoption of these technologies beyond traditional U.S. markets, significantly impacting global productivity trends. This is accompanied by a noticeable change in how capital is being allocated.

Shifting Capital and Financial Scrutiny

Current market activity suggests the early stages of a rotation may be underway. Investment is gradually moving away from extremely concentrated AI holdings and spreading more broadly across other industrial segments. In this environment, corporate balance sheets are receiving heightened attention. Companies carrying high levels of debt are under particular scrutiny, as the cost of financing remains a pivotal factor for profitability in funding technological breakthroughs.

For investors still seeking exposure to innovation themes, the ETF marketplace offers a wide array of alternatives with diverse focuses. These funds differ considerably in their geographic emphasis and the underlying methodologies of their target indices.

A thorough comparison of index compositions is crucial. The performance divergence can be substantial depending on how a fund weights pure-play software AI companies versus those involved in tangible industrial automation. Macroeconomic conditions, especially the interest rate policies set by central banks in the United States and Europe, continue to be the dominant force influencing investment appetite across this growth-oriented segment.