How To Close The Gap Between Ai Investment And Impact In 2026
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Many organizations will seek to gain more value from artificial intelligence in 2026. Harvard Business School faculty share four considerations for leaders planning to scale the technology.
Many business leaders have made strides in bringing artificial intelligence into their organizations. In 2026, many will seek to wring more value from the technology. We asked Harvard Business School faculty what trends leaders might see in the coming year, especially as AI becomes omnipresent. Here’s what they said. Their comments have been lightly edited for length and clarity. AI is no longer the experiment on the side; it’s rewiring how work gets done.
And it is shifting from isolated tools people can choose to adopt (or ignore) to platforms that sit at the center of workflows, decisions, and customer journeys. 4 minutes ago • by Mark J. Greeven, José Parra Moyano, Michael R. Wade, Amit M. Joshi, Jialu Shan, Didier Bonnet, Robert Hooijberg in Artificial Intelligence December 9, 2025 in Artificial Intelligence
AI is reshaping cybersecurity, arming both hackers and defenders. Learn how to stay ahead in the fast-evolving AI cybersecurity arms race.... December 1, 2025 • by Tomoko Yokoi in Artificial Intelligence Vibe coding lets anyone build apps in plain English using AI, unlocking innovation and speed—but businesses must manage security, compliance, and quality risks.... AI ROI is low, but AI hype is high. In this blog post, discover how to close the hype gap and achieve real business outcomes — from 2,100% ROI in one year to $6.6M in additional revenue.
When enterprises achieve AI ROI, the impact is transformative: These outcomes are the result of disciplined use case selection, business case modeling, and organizational alignment with the right technology foundation. AI is everywhere. Investment and hype are at record highs, but for many businesses, the promise of AI has yet to translate into real business outcomes. In fact, a recent MIT Report showed that 95% of AI projects failed to deliver ROI. For the last 24 months, we’ve been living through a period of collective euphoria. Generative AI was magic, and every company, large and small, scrambled to experiment.
We built chatbots, generated images, and held countless "hackathons" to showcase what this incredible technology could do. Budgets were approved based on excitement and the fear of being left behind. That party is now over. The CFO has entered the room, holding the bill for massive compute costs, new software licenses, and expensive talent. The C-suite is no longer asking, "What can it do?" They are asking, "What is the ROI?" Welcome to the "AI ROI Cliff." It's the moment where "potential" meets the "P&L statement," and as... Why is this reckoning happening so suddenly?
Because most companies are stuck in "Pilot Purgatory." They have successfully run dozens of experiments but have failed to translate them into real, scalable, industrial-grade operations. The companies that survive the ROI Cliff will be those that make a critical strategic pivot: from Experimentation (playing with AI) to Exploitation (profitably deploying AI). Follow ZDNET: Add us as a preferred source on Google. The AI hype fueled by the launch of ChatGPT at the end of 2022 has only accelerated. Organizations, however, have yet to see much ROI on their mounting investment in the technology -- but experts say that wait may be over in the new year. Based on promises of AI's potential to dramatically optimize operations through new developments in the space, including models that are smarter, cheaper, multimodal, better at reasoning, and even autonomous, business leaders have funneled money...
Global corporate AI investment reached $252.3 billion in 2024, and US private AI investment hit $109.1 billion, according to Stanford data -- it's safe to assume those numbers will only continue to grow. Also: Why AI agents failed to take over in 2025 - it's 'a story as old as time,' says Deloitte But a look back at 2025 reveals a common thread: AI's potential to dramatically optimize operations has not yet been realized across the board. Most memorably, a now-infamous MIT study found that 95% of businesses weren't seeing an ROI from their generative AI spend, with only 5% of integrated AI pilots extracting millions in value. While the criteria for returns are narrowly defined, which partially explains the high percentage, it is still indicative of a wider trend. As 2026 rolls in, ROI is stepping into the AI driver’s seat.
After three years of experimenting and spending, and as talk of an AI bubble looms, enterprises are starting to demand results. According to Kyndryl’s recent Readiness Report, drawing on insights from 3,700 business executives, 61% of CEOs say they are under increasing pressure to show returns on their AI investments compared with a year ago. The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise. Readers wanted to know if their therapy chatbot could be trusted, whether their boss was automating the wrong job, and if their private conversations were training tomorrow's models. Readers wanted to know if their therapy chatbot could be trusted, whether their boss was automating the wrong job, and if their private conversations were training tomorrow's models.
Using AI to analyze Google Street View images of damaged buildings across 16 states, Stanford researchers found that destroyed buildings in poor areas often remained empty lots for years, while those in wealthy areas... Using AI to analyze Google Street View images of damaged buildings across 16 states, Stanford researchers found that destroyed buildings in poor areas often remained empty lots for years, while those in wealthy areas...
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Many Business Leaders Have Made Strides In Bringing Artificial Intelligence
Many business leaders have made strides in bringing artificial intelligence into their organizations. In 2026, many will seek to wring more value from the technology. We asked Harvard Business School faculty what trends leaders might see in the coming year, especially as AI becomes omnipresent. Here’s what they said. Their comments have been lightly edited for length and clarity. AI is no longer t...
And It Is Shifting From Isolated Tools People Can Choose
And it is shifting from isolated tools people can choose to adopt (or ignore) to platforms that sit at the center of workflows, decisions, and customer journeys. 4 minutes ago • by Mark J. Greeven, José Parra Moyano, Michael R. Wade, Amit M. Joshi, Jialu Shan, Didier Bonnet, Robert Hooijberg in Artificial Intelligence December 9, 2025 in Artificial Intelligence
AI Is Reshaping Cybersecurity, Arming Both Hackers And Defenders. Learn
AI is reshaping cybersecurity, arming both hackers and defenders. Learn how to stay ahead in the fast-evolving AI cybersecurity arms race.... December 1, 2025 • by Tomoko Yokoi in Artificial Intelligence Vibe coding lets anyone build apps in plain English using AI, unlocking innovation and speed—but businesses must manage security, compliance, and quality risks.... AI ROI is low, but AI hype is hi...