Welcome to a new version of The AI Business!

This week, we have:

● Mark Zuckerberg will make AI fully run your ads!

● OpenAI to partner with governments on AI infrastructure.

● How to get the most out of ChatGPT? (Free Guide)

● Why should governance be a business priority in the AI age?

● IBM places a huge bet on AI agents.

AI news
Some Game-Changing AI Business News From OpenAI and More Major Companies:

● Zuckerberg wants AI to fully run ads so businesses don't have to: At Stripe’s Sessions conference, Mark Zuckerberg revealed Meta’s vision for a fully automated AI ad system that could generate and test thousands of ad variations without human input. The tool would allow businesses to set goals, connect a budget, and let AI do the rest, including targeting and creative design. While appealing to advertisers, this raises concerns about user experience as Meta’s platforms become more cluttered with AI content. The ad industry remains split on whether AI threatens creative jobs or simply enhances them. (Read Article)

● ChatGPT now dives into your GitHub to speed up software tasks: OpenAI has launched a GitHub connector for its ChatGPT deep research tool, allowing users to ask questions about codebases, break down product specs, and analyze code structures directly from GitHub. Rolling out to Plus, Pro, and Team users, the feature is part of OpenAI’s push to make ChatGPT more integrated into developer workflows. It promises to be a powerful assistant while still requiring human oversight due to potential hallucinations. (Read Article)

● OpenAI races ahead in enterprise AI adoption while rivals fall behind: New data from Ramp shows OpenAI rapidly expanding its enterprise footprint, with 32.4% of U.S. businesses now subscribing to its AI tools, up from 18.9% in January. In contrast, competitors like Anthropic and Google are lagging far behind in market share. OpenAI now boasts over 2 million business users and is forecasting nearly $13 billion in revenue for 2025. The company is also exploring high-priced specialized AI agents to boost enterprise value. (Read Article)

● OpenAI’s push to partner with governments on AI infrastructure: OpenAI has unveiled “OpenAI for Countries,” a new initiative to collaborate with governments on building local AI infrastructure, including data centers and region-specific customizations of ChatGPT. The program aims to support 10 international projects initially, funded jointly by OpenAI and participating countries. The effort is also a strategic move to promote Western AI models globally and counter Chinese influence. It aligns with OpenAI’s broader infrastructure expansion plans, such as the upcoming Project Stargate. (Read Article)

● Microsoft joins Google’s push to unify AI agents across platforms:
Microsoft is adopting Google’s open Agent2Agent (A2A) protocol to enable AI agents on Azure AI Foundry and Copilot Studio to collaborate with agents from other platforms. The move supports an industry-wide push for interoperability, letting agents exchange goals and actions across ecosystems. Microsoft says this will help build more adaptive and observable AI workflows. With AI agent technology expected to grow rapidly, the company is also continuing its support for Anthropic’s MCP standard to enhance data connectivity. (Read Article)

● Figma with AI tools for websites, apps, and marketing assets: Figma has launched a suite of AI-powered tools, including Figma Sites for building responsive websites and Figma Make for prototyping web apps from simple prompts. The company is also debuting Figma Buzz for bulk marketing asset creation and Figma Draw for advanced vector editing. These updates position Figma as a strong competitor to platforms like Canva, Adobe, and Wix. A new $8/month content seat plan bundles these tools for marketing and design teams. (Try Now)

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AI Survey
Why Governance Must Be a Business Priority in The AI Age?

As agentic AI and large language models (LLMs) go mainstream in enterprise environments, a new survey by Gravitee highlights one priority above all: governance.

AI Adoption Is Accelerating — With Caution:

In the survey of 300 tech leaders, 72% said they’re already using agentic AI, with another 21% planning to do so soon. While adoption is driven by gains in efficiency, customer experience, and cost savings, 76% of respondents rated governance as extremely important.

Key concerns include managing LLM costs, integrating AI into legacy systems, and protecting sensitive data — all of which demand strong governance frameworks.

What Business Leaders Should Do:

To stay ahead, business leaders should:

● Set clear AI usage policies and compliance standards.

● Monitor LLM usage to control costs.

● Build cross-functional governance teams to oversee implementation.

Governance isn't just a compliance issue — it's how companies ensure AI delivers long-term value without introducing risk.

OpenAI Leads, but the Field Is Growing:

OpenAI remains the dominant player, used by nearly half of the surveyed companies. ChatGPT is the most common starting point, with 87% reporting past usage. Competitors like Google Vertex AI, Microsoft Azure, and IBM are also in the mix, signaling a competitive and rapidly evolving vendor landscape.

Bottom line: Agentic AI is becoming foundational to business, and strong governance is what will separate early adopters from long-term winners.

AI Agents
IBM Places a Huge Bet on AI Agents:

At its Think 2025 conference, IBM unveiled a powerful suite of new tools aimed at helping businesses move beyond AI experimentation and into scaled, integrated agent deployments.

From AI Experiments to Operational Reality:

IBM’s latest announcements center on enabling companies to adopt AI agents at scale, with updates to its watsonx platform, the debut of LinuxONE 5 for AI workloads, and a new Agent Catalog featuring over 150 pre-built agents. The clear goal: turn fragmented AI efforts into measurable business outcomes.

This push comes in response to IBM’s own CEO study, which revealed a sobering insight — only 25% of companies reported achieving expected ROI from their AI investments, despite expectations for AI budgets to more than double in the next two years.

Why This Matters for Business Leaders?

The message from IBM CEO Arvind Krishna was direct: the era of AI pilots is over, and the future belongs to companies that integrate AI deeply and deliberately. But integration is the sticking point. Many businesses are dealing with siloed tech stacks, disconnected data, and tool overload — all of which hold back AI’s full potential.

Here’s where IBM aims to help:

● watsonx Orchestrate now includes pre-built agents for sales, HR, and procurement, plus tools to build custom agents in minutes.

● New integrations with major platforms like AWS, Microsoft, and Adobe make these agents easier to embed into existing workflows.

● watsonx.data upgrades allow companies to harness unstructured data across silos through a single interface — a major leap for enterprises with scattered data systems.

Infrastructure and Scale Take Center Stage:

To support AI at production scale, IBM also introduced LinuxONE 5, a Linux-based system built for AI workloads with the ability to perform 450 billion inference operations daily. It features security enhancements like confidential containers and quantum-safe encryption, meeting the performance and compliance needs of modern enterprises.

The Agent Catalog, launched alongside these tools, offers access to 150+ agents developed in collaboration with companies like Mastercard, Box, and ServiceNow — providing a jumpstart for businesses ready to operationalize AI now.

The Takeaway for Leaders:

IBM’s new suite is a reminder that AI success requires more than clever models — it demands robust infrastructure, clear ROI alignment, and seamless integration with existing systems.

If you’re a business leader looking to accelerate AI adoption:

● Prioritize cross-functional integration over isolated use cases

● Choose platforms that reduce complexity, not add to it

● Invest in tools that connect your data and processes across silos

The bottom line: Scaling AI agents isn’t about starting over — it’s about plugging into what you already have and making it smarter, faster, and more secure.

That’s it for today, thanks for reading till the end. 😊 

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See you next week.