This list celebrates changemakers creating meaningful impact through leadership, innovation, fresh perspectives, transformative mindsets, and lessons that resonate far beyond the workplace.
A fast read on what’s changing—and what it means for leadership. This summary distills the key signals shaping enterprise AI, including uneven value realization, rising costs, and governance pressures. Built for boards and executives who need clarity on where to focus as AI becomes a core operating priority.
The April 2026 Enterprise Technology Intelligence report highlights a critical shift: AI is moving from promise to execution and exposing gaps in cost structures, governance, and architecture.
Anthropic announced Project Glasswing, an effort that aims to use the Claude Mythos Preview model to find and fix software vulnerabilities. The model won't be made generally available but will be shared with more than 40 cybersecurity players to secure AI infrastructure.
The cybersecurity project lands as Anthropic has found that Claude models are better than humans at finding and fixing vulnerabilities. Anthropic noted that Mythos has found vulnerabilities in every browser and operating system.
Industrial AI is gaining traction as 61% of enterprises are now in production with AI in industrial operations, according to Cisco's State of Industrial AI Report.
The report surveyed more than 1,000 operational technology (OT) decision-makers to get a read on the intersection of OT, IT and AI. Use cases surfaced in the report include process automation, quality inspection predictive maintenance, logistics and energy forecasting.
LittleHorse Enterprises said it will partner with El Paso Labs to drive business-as-code adoption and integration of governed AI agents for fintech companies.
The partnership highlights how LittleHorse's Business-as-Code platform is gaining traction as enterprises look at governing and wrangling AI agents and microservices to automate processes and workflows.
CxOs in Constellation Research's BT150 are getting practical about AI agents, looking to align AI strategies with business outcomes with timelines to structurally reposition operating models with AI in about three years.
The BT150 meetup was held April 3. This Constellation Research CxO call operates under Chatham House rules so the takeaways aren't attributed.
Anthropic said it has inked an agreement with Google and Broadcom to for TPU-powered compute that'll come online in 2027. Anthropic has been expanding its compute infrastructure due to surging demand.
JPMorgan Chase CEO Jamie Dimon and the bank's C-suite issued annual shareholder letter that collectively shed light on the company's AI strategy, but perhaps the biggest takeaway is that "at this time, we cannot predict the ultimate winners and losers in AI-related industries."
Zillow is betting that AI is going to be a boon to its business both internally and for customer experiences due to a hefty dose of proprietary data, context and the ability to tailor its own large language models.
At an AI day for investors, Zillow executives outlined their AI plans and the company's data moat. Like enterprise software companies, Zillow shares have been caught in a downdraft over concerns about Anthropic. The general idea is that AI agents will find you a house and proceed through a transaction.
Artificial intelligence (AI) transforms all aspects of the technology stack, and agents are the latest innovation that enterprises strive for, because agents promise new levels of effectiveness in running their business. In 2026, every enterprise must have an agentic AI strategy, plan, and first implementations to stay relevant in the rapidly transforming world of business automation that needs to deliver on Enterprise Acceleration.[i]
From Demos to Revenue and Love: What DisrupTV 433 Reveals About the Future of AI and Leadership
On Episode 433 of DisrupTV, hosts Vala Afshar and R “Ray” Wang explored two defining forces shaping modern business:
Welcome to a new edition of The Board: Distillation Aftershots (*).
This is an online of my newsletter where I share curious and interesting insights and data points distilled from enterprise technology to identify what’s notable. If you are interested in getting this newsletter and don't miss any of my content, please subscribe.
HubSpot said it will start pricing its Breeze Customer Agent and Breeze Prospecting Agent based on outcomes. Customers will only pay when AI agents complete an assigned task.
The Breeze Customer Agent and Breeze Prospecting Agent are the most successful at delivering outcomes on HubSpot's platform, according to executives on HubSpot's fourth quarter earnings call.
Google launched Gemma 4, an open model built for agentic AI workflows in four sizes.
The move comes as the US lags in open large language models relative to China, which counts DeepSeek and Qwen as just two entrants. Nvidia has pushed its Nemotron models to develop the open source AI ecosystem and Google's Gemma model has been downloaded more than 400 million times. Simply put, there's demand for open source LLMs.
IBM and Arm said they will collaborate on dual-architecture hardware aimed at AI and data intensive workloads.
With the deal, IBM will aim to incorporate Arm chips into mission critical workloads that are often handled by IBM's Z systems.
Alibaba launched Qwen 3.6-Plus, its flagship large language model (LLM) that improves agentic AI coding and reasoning. Qwen 3.6-Plus is the third proprietary model released this week.
Qwen3.6-Plus has a 1M context window by default, agentic coding benchmarks that put it in the ballpark of Anthropic models up to Claude 4.5 Opus. Anthropic's Claude Opus 4.6.
In a blog post, the company said Qwen 3.6-Plus includes the following:
In late March, OpenAI announced the end of their Sora Text-to-Video generative AI application and the eventual discontinuation of the Sora API. To understand the opportunity that the Sora-free enterprise market has ahead, perhaps it is worth taking an unvarnished view of Sora itself. While other models had the capacity to generate video from text prompts, Sora became the perceived de facto leader in AI video generation because of its rapid initial adoption by broad consumer audiences, passing 1 million downloads in under 5 days in late September 2025.
The customer success (CS) landscape is currently navigating its most significant architectural shift since the category’s inception, in the early 2010s. For years, customer success platforms (CSPs) functioned primarily as specialized “systems of action” sitting atop the “systems of record” (customer relationship management [CRM] systems). However, the emergence of generative and agentic artificial intelligence (AI) has blurred these lines, creating a trimodal future for the industry.
Salesforce's Slackbot event featured a series of demos of new capabilities such as tapping into CRM records, taking notes during meetings and streamlining workflows. But Salesforce Co-Founder Parker Harris summed up the strategic importance of Slackbot with a quip with analysts. "Why log into Salesforce at all?"
Harris, who is also CTO of Slack, said Slackbot is the new face of work, but it's also the main way Salesforce is going to drive usage of its Agentforce platform. If all goes well, Salesforce's applications will run in the background with Slackbot being the lead singer.
Salesforce didn’t just upgrade Slackbot, it made a strategic move to redefine:
where enterprise decisions get made—and how fast they execute.
What actually changed?
The March 31 launch (30+ new AI features) wasn’t about copilots or summaries. Quick list of what’s new:
Work coordination platforms are becoming critical to modern digital work. Discover why Smartsheet earned a spot on the 2026 Constellation ShortList for Work Coordination Platforms.
OpenAI raised $122 billion in funding and now has a valuation of $852 billion.
In a blog post, OpenAI said it is generating $2 billion in revenue a month. OpenAI is arguing that its growth in revenue and users justifies the premium. The company said:
OpenAI launched a Codex plugin for Anthropic's Claude Code in what'll likely become a trend as the big LLM players all try and one-up each other to move up the orchestration layer.
The race for the latest greatest LLM is interesting, but the prize is the orchestration layer. You want a model and platform to be the orchestrator of other models. The big question here is whether Anthropic or OpenAI are well positioned to be that LLM conductor. The short answer is no.
First, let's recap a few recent developments.
Microsoft 365 Copilot's Researcher agent will take a multi-model approach where Anthropic's Claude will review responses drafted by OpenAI's ChatGPT in a feature called Critique. Microsoft also added a feature called Council, which will show side-by-side comparisons of responses from different models.
Critique will be the default in Researcher when auto is selected as the model picker.