By Siddharth Pai

Microsoft’s ambitious integration of artificial intelligence (AI) through its Copilot software suite has encountered significant turbulence, marked by customer dissatisfaction and intensified regulatory scrutiny. These challenges cast a shadow over the company’s efforts to position itself at the forefront of AI-driven enterprise solutions.

Introduced as an AI-powered assistant across Microsoft’s product ecosystem, Copilot aims to enhance user productivity by automating tasks and providing intelligent insights. However, its performance has yet to consistently meet user expectations. Reports indicate that customers find Copilot’s functionalities could be more impressive, and some are considering alternative solutions. Salesforce CEO Marc Benioff likened Microsoft’s Copilot to the infamous Clippy, suggesting it failed to deliver substantial value to users. Clippy was a failed assistive platform that Microsoft introduced in 1997. After a quarter of a century, Benioff feels that the company has been unable to deliver anything with substantially greater functionality than that failure from years past delivered to customers at the time. The Salesforce CEO concluded: “I have yet to find anyone who’s had a transformational experience with Microsoft Copilot or the pursuit of training and retraining custom LLMs.”

To be fair, Benioff has his fish to fry; he thinks his product Agentforce is vastly superior. Agentforce allows users to build their own AI agents to fold into their onsite infrastructure.

On Microsoft’s own MSN news platform, a report authored by Kevin Okemwa entitled “Is Microsoft flying a sinking ship with gimmicky AI tools?” highlights that Microsoft’s rapid deployment of AI features has led to a perception of Copilot as a “gimmicky” tool, with the company “building the plane as we fly it”. This approach has resulted in a disjointed user experience, prompting some clients to consider alternative solutions. To quote the report, it seems as if Microsoft’s recently shipped massive Copilot update, which has overhauled the user experience, has both received backlash from users as well as criticism from Microsoft insiders who have called it “a step back”, totally ruining the tool’s user experience. What is troubling is an alleged comment by a Microsoft insider: “There is a delusion on our marketing side where everything has been renamed to have Copilot in it. Everything is Copilot. Nothing else matters. They want a Copilot tie-in for everything.”

This sentiment reflects a broader industry scepticism toward AI tools that promise more than they deliver. Users have reported issues such as inaccurate outputs and limited practical utility, leading to frustration and a search for more reliable alternatives.

Compounding these challenges, the US Federal Trade Commission (FTC) has launched a comprehensive antitrust investigation into Microsoft. The probe examines the company’s cloud computing, software licensing, cybersecurity, and AI products including Copilot. David McCabe of The New York Times has this to say: “Of particular interest to the FTC is the way that Microsoft bundles its cloud computing offerings with office and security products, they added, alongside the company’s growing power in the artificial intelligence space.” 

This investigation aligns with the FTC’s broader initiative to scrutinise potential anti-competitive practices in the tech industry. Under chair Lina Khan, the agency has intensified efforts to regulate Big Tech, focusing on how companies leverage their market positions to stifle competition. For Microsoft, this scrutiny could impede its strategy of bundling Copilot with its widely used enterprise software, a move that competitors argue could unfairly consolidate its dominance.

Moreover, the FTC’s investigation could restrict how Microsoft integrates Copilot into its software offerings. Potential outcomes include mandates to unbundle AI features or modify licensing agreements to foster fair competition. Such measures could disrupt Microsoft’s plans to embed AI deeply into its ecosystem, affecting its competitive edge in the burgeoning AI market. The FTC has had similar investigations and lawsuits against Amazon, Apple, Google, and Meta, alleging unfair trade practices. That said, FTC chair Khan’s days at the agency’s helm are probably numbered; she could lose her job in the transition to the new administration, whose priorities in regulating Big Tech are unknown. The New York Times piece highlights that the FTC antitrust activity against Google and Meta was initiated during the US President-elect’s last administration.

The convergence of customer dissatisfaction and regulatory challenges presents a formidable obstacle to Microsoft’s AI aspirations. The company’s approach of rapidly deploying AI features across its product suite has been criticised for prioritising market presence over product readiness. The internal mantra of “building the plane as we fly it” underscores a strategy that may have overlooked thorough testing and user feedback. These are red flags for any company attempting to build reliable software products. While it is natural to expect bugs to occur when software is built, releasing buggy software without meaningful functionality enhancements is a sure-fire recipe for product failure.

To address these issues, Microsoft must adopt a more measured approach to AI integration, emphasising product reliability and user satisfaction. Engaging with customers to gather feedback and iterating on Copilot’s features could enhance its utility and restore confidence. Simultaneously, Microsoft must cooperate transparently with regulatory bodies, demonstrating a commitment to fair competition. This may involve reassessing its bundling strategies and ensuring that its market practices do not hinder competitors.

While Microsoft’s Copilot initiative can represent a significant leap toward AI-enhanced productivity if done right, its current trajectory is fraught with challenges. Balancing innovation with responsibility, competitiveness, and fairness will be crucial for Microsoft to navigate this complex landscape and achieve its AI ambitions. It appears that many, including some inside the company, think it’s falling short. And with its value-sensitive customers in India, this will be even more of a setback.

The writer is technology consultant and venture capitalist.

Disclaimer: Views expressed are personal and do not reflect the official position or policy of FinancialExpress.com. Reproducing this content without permission is prohibited.