The business implications of AI deployment in 2026

“Agents are clearly the big thing. Enterprises moving from talking about chatbots to agents, though we’re still very early. Coding is still the dominant agentic use-case being adopted thus far, with other categories of across knowledge work starting to emerge. Lots of agentic work moving from pilots and PoCs into production… Data and AI governance still remain core challenges. Getting data and content into a spot that agents can securely and easily operate on remains a huge task for more organizations. Years of data management fragmentation that wasn’t a problem now is an issue for enterprises looking to adopt agents… Identity emerging as a big topic. Can the agent have access to everything you have?… Lots more takeaways than just this, but needless to say the momentum is building but equally enterprises are acutely aware of the change management and work ahead. Lots of opportunity right now.”

@levie · Aaron Levie · CEO, Box · 2026 Q1

“Discover the 5 trends driving business transformation in 2026—backed by insights from over 3,466 global executives and Google AI experts. Hint: We’re witnessing the agent leap—where AI orchestrates complex, end-to-end workflows semi-autonomously.”

@googlecloud · Google Cloud · Official · 2026

“I’ve been looking at some trends recently, and a huge shift is happening. Companies are going from using AI to aide them in small tasks, To now integrating ai into major operations. This shows that CEOs believe AI is going to be the main cause of future revenue. And they are doing everything they can to maximize on this opportunity. The businesses that don’t capitalize on AI are going to be in trouble very very soon.”

@AiMatthewP · Matt P · Ghost Systems · May 2026

“AI is not just creating new jobs. It is forcing a redesign of how work, authority, and expertise are structured. The real shift is not the rise of prompt engineers or AI architects. It is the breakdown of old functional boundaries between business, data, product, risk, and operations. Authority Shift: AI work no longer sits cleanly inside IT or analytics. It pulls decision rights across governance, product, data, compliance, and workflow ownership. Leadership Blind Spot: Many firms are focusing on hiring isolated AI titles while ignoring the operating model needed to connect model development, validation, deployment, and business accountability. The winning org will not be the one with the most AI job titles. It will be the one that redesigns work fastest around them. Are you adding AI roles, or rebuilding the system those roles need to matter?”

@sijlalhussain · Syed Ijlal Hussain · AI & Org Design · 2026 Q1

“Chief people officers perceive a divided short term outlook for global labour markets. While 50% expect talent availability to improve over the next 12 months, 30% anticipate weaker conditions, and 20% foresee no change. Around 83% of chief people officers expect their organizations to be in the scaling phase of AI deployment within the next 6–12 months, integrating AI tools across functions and processes. As a result, the people agenda is shifting fundamentally - away from isolated upskilling initiatives towards the redesign of roles, workflows and talent systems, positioning CPOs as key architects of sustainable, AI-enabled work.”

@thomas_dettling · Thomas J. Dettling · Digital Transformation · May 2026

“AI might end up doing something few expected: commoditizing asset-light businesses, the very segment that has crushed capital-intensive industries over the past decade. Software and service companies outperformed because they scaled with near-zero marginal cost, strong pricing power, and minimal capital requirements. But AI is changing the equation fast. Barriers to entry are collapsing: Software is cheaper and faster to build. Content, analytics, and customer service are being automated. Capabilities that once differentiated companies are becoming widely available. If everyone can build similar products and automate the same workflows, moats weaken and margins compress. What used to be unique becomes standard. Returns drift toward commodity levels. Ironically, this could shift value back toward what software once disrupted: capital, proprietary data, infrastructure, energy, and distribution advantages, rather than pure software layers.”

@TheShortBear · THE SHORT BEAR · Market analyst · 2026 Q1

“AI adoption is surging among US employees: 50% of employed American adults used AI in their role at least a few times in Q1 2026, up from 46% in Q4 2025, according to a Gallup survey. This percentage has more than DOUBLED over the last 3 years. Furthermore, 13% of surveyed employees used AI daily last quarter, while 28% used it at least a few times a week. Meanwhile, 27% of employees in AI-adopting organizations reported their workplace has changed in disruptive ways over the last year. AI usage among the American workforce is accelerating.”

@KobeissiLetter · The Kobeissi Letter · Market analysis · May 2026

“Based on Goldman Sachs and prediction market data, AI is driving mass automation in white-collar sectors by 2026, while remote work demand has fueled a 30% wage spike in developing nations. Market focus has shifted to whether soaring productivity can effectively neutralize rising unemployment risks.”

@VeyonMarkets · Veyon Markets · Financial intelligence · May 2026

“AI is bringing on-prem back. The last decade of enterprise software was defined by one massive shift: everything moved to vendor-cloud SaaS. In 2026, the number of security breaches is skyrocketing across the board: Supply chain attacks, model attacks, vendor platform compromise. I’ve spoken to 10 CIOs and CISOs in the last week, each one of them told me they must bring the AI to their data, not the other way around. They are unwinding shadow AI and taking back control to secure their data and network as the top priority. Not all CEOs understand the security risks at play, so it’s on the CIO and CISO to hold the line, even when unpopular. For startups this means you must shift accordingly: whether you call it bring-your-own-cloud (BYOC), self-hosted, cloud-prem or on-prem, this is the only enterprise-ready deployment model for AI.”

@bradmenezes · Brad Menezes · Enterprise AI strategy · May 2026

“a16z just dropped the billion-dollar opportunities in AI for 2026. Three partners. Three theses. Same underlying bet. Marc Andrusko: the prompt box is dying. Next-gen apps observe what you’re doing and act on your behalf. TAM shifted from $400B software spend to $13T labor spend. Market got 30x bigger. Stephanie Zhang: stop designing for humans. Start designing for agents. Agents read every word on the page. Visual hierarchy stops mattering. GEO is the new SEO. Olivia Moore: voice agents ate the phone in 2025. Healthcare, banking, recruiting, 911 calls. Voice AI beats humans on compliance every single time. Every thesis converges on the same layer. The harness around the model is where the leverage compounds.”

@rohit4verse · Rohit · Venture & strategy · May 2026

“This may be the first large-scale visible shift from labour-heavy software companies to AI-heavy infrastructure companies. For 20 years tech firms scaled by adding people. Now many may scale by adding compute. If AI systems can replace parts of coding, support, QA, analysis, operations, middle management, and internal workflows, then the economics of headcount begin to change dramatically. In the industrial revolution companies accumulated machines. In the AI revolution companies may accumulate intelligence capacity. That has enormous implications for employment, productivity, organisational design, and society itself. The biggest question now is not whether jobs will change. It is how fast institutions, education systems, governments, and human beings can adapt to this new economic reality.”

@thomaspower · Thomas Power · Technology commentator · May 2026

“$HUBS Q1 2026 earnings: Upmarket Expansion and AI Adoption Drive Breakout Quarter. HubSpot delivered a standout quarter with revenue growth accelerating to 23% YoY ($881.0M), completely blowing past the 16-21% range seen throughout FY25. The top-line acceleration was matched by strong operational discipline: GAAP operating income flipped positive ($27.9M vs -$27.5M a year ago), and non-GAAP operating margin expanded 380 bps YoY to 17.8%. The transition toward an ‘agentic customer platform’ is driving higher deal values. However, management’s Q2 guidance of 18% YoY growth suggests that either Q1 benefited from specific timing/mix tailwinds, or the company is maintaining extreme caution regarding the broader SMB macro environment.”

@Finsee_main · Finsee · Earnings analysis · May 2026