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Morgan Stanley Downgrades BlackLine on Slow AI Adoption, Cuts Price Target to $33

Morgan Stanley Downgrades BlackLine on Slow AI Adoption, Cuts Price Target to $33
Tech · 2026
Photo · Eleanor Whitfield for Daily Digest Invest
By Eleanor Whitfield Markets Editor-in-Chief Jul 21, 2026 4 min read

Morgan Stanley has downgraded BlackLine, a provider of accounting and finance automation software, to equal-weight from overweight and cut its price target to $33 from $50. The bank cited concerns that the company's new artificial intelligence tool, Verity AI, may take longer than expected to generate revenue as risk-averse customers keep it in pilot programs for several quarters.

What's Behind the Downgrade?

BlackLine sells software that helps finance teams close the books, manage compliance, and automate manual accounting tasks. The company has been betting on Verity AI, a tool designed to further automate these processes using artificial intelligence. However, Morgan Stanley analysts argue that the biggest hurdle isn't whether the technology works, but whether cautious customers will trust it in a high-stakes area where accuracy, internal controls, and audit trails are critical.

If Verity AI remains stuck in small tests, companies won't adopt it broadly, delaying the revenue boost BlackLine had hoped for. This is a common challenge for AI tools in regulated or compliance-heavy industries, where the cost of a mistake is high and decision-makers are slow to move beyond pilots.

This isn't the first time Morgan Stanley has flagged slow AI adoption. The bank recently downgraded Salesforce on slow AI growth payoff, and also downgraded Wix on AI cost concerns, slashing its price target. These moves suggest a broader theme: even as companies invest heavily in AI, turning those investments into revenue is taking longer than many expected.

What It Means for Investors

For everyday investors, the downgrade is a reminder that AI hype doesn't always translate into quick profits. BlackLine's stock has already fallen sharply, and the new price target of $33 implies limited upside from current levels. The equal-weight rating means Morgan Stanley sees the stock as fairly valued relative to its peers, not a clear buy or sell.

Investors should watch for signs that BlackLine is converting pilot programs into full contracts. If Verity AI gains traction, the stock could rebound. But if adoption remains slow, the company may face pressure on its growth forecasts. The broader lesson is that AI tools in finance and accounting face unique adoption hurdles, from regulatory concerns to the need for airtight accuracy.

BlackLine's situation also highlights the importance of customer trust in enterprise software. Unlike consumer AI tools that can be rolled out quickly, enterprise AI must pass rigorous testing and compliance checks. This can stretch timelines and delay revenue recognition, a risk that Morgan Stanley is now pricing into its valuation.

Broader Market Context

The downgrade comes amid a mixed backdrop for tech stocks. While some AI-related companies have seen explosive growth, others are struggling to monetize their investments. The AI deal chatter and chip software shake-up have added volatility to the sector, and investors are increasingly scrutinizing companies that promise AI-driven growth without clear evidence of adoption.

Morgan Stanley itself has benefited from a surge in deal fees and trading revenue, as seen in its strong Q2 profit. But the bank's analysts are taking a cautious stance on companies where AI adoption is uncertain, suggesting that even as the broader market rallies, some stocks may lag if their AI strategies fail to deliver.

What to Watch Next

BlackLine's next earnings report will be key. Investors will look for updates on Verity AI pilot programs, customer feedback, and any guidance on when the tool might start contributing to revenue. If the company can show progress, the stock could recover. But if delays persist, further downgrades from other analysts may follow.

For now, the message from Morgan Stanley is clear: AI rollouts in finance are taking time, and patience is required. Everyday investors should consider this when evaluating other companies that are heavily reliant on AI adoption for growth, especially in regulated industries.

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