Every enterprise vendor right now is selling some version of the same promise: hand this to AI and get your time back. Coding gets faster, support tickets get resolved without adding headcount, presentations build themselves. It's an easy pitch, and after two years of AI hype, a familiar one.
Three recent stories from the week navigate this complicated promise - and raise new questions.
It may be worth sitting with these head-scratching considerations before signing off on your next productivity tool.
Is Agentic AI Actually Making Teams More Productive?
McKinsey's latest Technology Trends Outlook has gone viral this week after it shared a painful reality check.
Its research found productivity fell in a significant share of adopters. The report states:
"Our research finds that in 30 percent of companies, productivity fell after teams began using agentic AI tools"
Part of the explanation is "vibe coding" - developers instructing AI to generate code quickly. And often without much oversight of what comes out the other end:
"In one study, AI tools increased coding activity by 180 percent, but shipped releases rose by only 30 percent, showing that more code doesn't always lead to more products"
There's also a wide gap in who actually benefits. Beyond just different titles, roles, and responsibilities, even workers with the same job are seeing mixed results.
The report found:
"While 80 percent of software engineers using AI tools see a productivity acceleration of around 3 percent, the top 20 percent see a 55 percent boost"
That's a sign the tool itself isn't what determines success. For enterprise leaders who purchase first and ask questions later, this is an important question to consider. Perhaps the environment around AI adoption is the true difference-maker, not the tech itself?
Can a Social Media Bot Be Trusted to Manage Real Enterprise Work?
xAI opened Grok Bot for Enterprise to all Cursor and Grok Enterprise customers, giving them two weeks of free access. The bigger question hanging over the launch is whether Grok Bot can genuinely function as enterprise software, or whether it stays, at heart, an extension of X's social ecosystem with some enterprise features bolted on.
Two case studies suggest the answer leans further toward the former. Cursor's combined support team saw ticket volume surge, and the team shared:
"Our new combined team has seen a 175% increase in support tickets, but we have not had to hire any new people thanks to Grok Bot. We might have hired 200 additional people otherwise"
The economics were just as striking, with the team noting the cost difference directly:
"Traditional AI support tools charge a flat $1 to $4 per resolution. With Grok Bot, we've been able to resolve tickets for as low as $0.20 to $0.30"
A second bot, nicknamed "Haggle Bot," was given access to vendor spend data and set loose on procurement. xAI noted:
"So far, it has identified more than $100,000 in direct savings, worked through larger SaaS renewals, and applied the same approach to recurring purchases like office supplies"
Whether Grok Bot can sustain that credibility depends heavily on governance layers, including access, network, and audit controls built into the enterprise release.
Can AI Actually Fix Boring, Generic Presentations?
Gamma has introduced an Enterprise tier on top of its existing Business plan, adding advanced admin controls, API governance, brand translation services, and custom credits for larger teams. The company looks to address what many in the corporate world are all too familiar with: a forgettable deck.
The trick? Harnessing AI to create designs that tell a more engaging story.
Speaking to UC Today at Dreamforce 2026, Rohit Padmakumar, Creative Lead at Gamma, framed the enterprise push:
"No one really wants to go format in a lot of old legacy tools like PowerPoint all day. We want people to just focus on their ideas"
The productivity pitch is straightforward. Gamma highlights that "the first draft arrives in under a minute" - in theory freeing up time for enterprise teams to spend less of it designing and more of it actually practicing their pitches.
Distinctiveness and genuinely good output are different problems, especially at enterprise scale, where dozens of teams generating decks from the same AI models risk producing a new kind of sameness instead of solving the old one.
Padmakumar was candid that this is the real risk facing the category right now:
"A lot of tools right now are kind of like AI slop. It's very easy to spin up a lot of things, but the greatest thing about humans is we have such a good sense of what doesn't look good"
Whether Gamma's brand controls and custom themes can keep enterprise output distinctive, rather than just fast, is the real test facing its new tier.
Enterprises considering tools in this category should ask whether faster deck creation actually improves how ideas get communicated, or just produces more content, more quickly, without addressing why those presentations felt dull in the first place.
The Common Thread
Look across all three questions and a familiar pattern shows up. Automation only delivers real value when it comes with clear governance, a well-defined use case, and honest measurement of what's actually improving, not just what's moving faster.
The harder question for any leader isn't whether a tool can move fast. It's whether it's actually solving the problem it was bought to solve, and whether anyone's checking.
