AI Companies Boost Investment in Core Skills, Yet Leaders Skeptical of Returns: Report
Synopsis
A recent report reveals that tech companies focusing on successful AI initiatives invest heavily in core capabilities, even as skepticism about financial returns remains high among leaders. Discover the shifts necessary to harness AI’s potential and the challenges organizations face in this evolving landscape.
Key Takeaways
Investment Focus: Companies are investing four times more in core AI capabilities.
Leader Confidence: Only 39% of leaders are confident about financial returns from AI.
Foundational Shifts: Six key shifts are necessary for realizing AI value.
Data Trust: Trust in data is essential for AI value creation.
Job Cuts: Significant layoffs in tech highlight the industry's shift towards AI.
New Delhi, April 20 (NationPress) Companies excelling in artificial intelligence (AI) are investing as much as four times more in fundamental capabilities, including data quality, governance, AI-ready talent, and change management. Yet, only 39% of tech leaders express confidence in achieving positive financial returns from their AI expenditures, according to a recent report released on Monday.
The report by Gartner emphasizes that increased investment in essential areas is vital for fostering AI success within organizations.
It identifies six significant transformations necessary to unlock AI's potential, such as establishing AI-first data and analytics capabilities, restructuring teams for effective collaboration between humans and AI, and enhancing the contextual and data framework to support AI systems.
Additionally, the need for integrated engineering practices, trust-driven governance models, and a shift from traditional return on investment (ROI) metrics towards creating long-term value is highlighted.
“Organizations equipped with advanced AI-ready data and analytics capabilities can achieve up to 65% improved business outcomes, including revenue enhancement and cost efficiency,” stated Gartner.
“D&A leaders are pivotal in realizing their organization’s AI value goals,” remarked Rita Sallam, Distinguished VP Analyst and Chief of Research at Gartner.
Sallam pointed out that through 2030, D&A leaders will be tasked with developing robust foundational capabilities, including trustworthy data and context-driven intelligence, necessitating changes in team operations, scaling, and value creation.
Nonetheless, challenges persist. Only 23% of IT leaders exhibit high confidence in their organization’s capacity to manage security and governance while implementing generative AI tools.
“Without trust in the data, outputs, and decisions derived from AI models, the value of AI is nullified,” said Sallam.
Previously, another report indicated that technology companies accelerated layoffs in the first quarter of 2026, resulting in over 73,200 job cuts across 95 firms.
Notably, within a fortnight, Snap Inc., The Walt Disney Company, Meta Platforms, and Oracle Corporation announced layoffs as businesses refine operations to reduce costs and redirect resources towards artificial intelligence.
Point of View
It's evident that the disparity between investment and confidence in AI returns is a critical issue. While the potential for AI to transform enterprises is substantial, the current skepticism among leaders signals a need for strategic improvements in governance, data management, and team collaboration. It’s a pivotal moment for organizations to build trust and foster innovation.
NationPress
1 May 2026
Frequently Asked Questions
What are the key areas for AI investment?
The key areas for AI investment include data quality, governance, AI-ready talent, and change management.
What percentage of tech leaders are confident in AI returns?
Only 39% of technology leaders are confident in seeing positive financial returns from their AI investments.
What challenges do organizations face with AI?
Organizations face challenges such as managing security and governance while deploying generative AI tools.
How much higher business outcomes can advanced data capabilities achieve?
Organizations with advanced AI-ready data and analytics capabilities can achieve up to 65% higher business outcomes.
What recent layoffs occurred in the tech industry?
In the first quarter of 2026, over 73,200 layoffs were reported across 95 tech companies, including major firms like Snap Inc. and The Walt Disney Company.
