For all that noise about GPT-5’s problems, it is making significant strides in the enterprise market. Following its launch, some users criticized the model for a less intuitive experience, prompting OpenAI to reinstate the previous version, GPT-4, for certain customers. However, early adopters such as Cursor and Vercel have reported that GPT-5 is outperforming competitors in specific tasks, offering faster setups and better results at a lower cost, with one startup claiming it is “the smartest coding model we’ve ever tried.” OpenAI is aggressively pursuing enterprise clients, having expanded its sales team to over 500 employees, and is exploring a secondary stock sale to bolster its financial footing. Despite the high operational costs, GPT-5 is reportedly significantly cheaper than its closest competitor, Claude Opus 4.1, by a factor of 7.5 in some cases, which may help in securing long-term customer loyalty and paving the way for future growth in this competitive landscape.
Apple is rolling out new tools for businesses to manage employee access to artificial intelligence services, specifically targeting the ChatGPT for Enterprise platform. These tools will allow IT administrators to control which features employees can use and may even restrict whether internal requests are sent to ChatGPT’s cloud service, helping to protect sensitive company data. As artificial intelligence becomes increasingly integrated into the workplace, the need for robust management systems grows. According to TechCrunch, Apple’s solutions will not only focus on ChatGPT but can also be extended to other external AI providers, such as Anthropic and Google. This initiative reflects Apple’s commitment to providing corporate users with more control over their AI integrations while safeguarding user data through its Private Cloud Compute architecture.
From Channelholic, Kaseya is developing a radically new MCP interface that will transform how MSPs interact with their tools. According to CEO Rania Succar, this interface will:
- Move beyond customer-facing AI to include MSP-facing agents for various functions beyond help desk
- Focus on both profitability and growth through AI tools that help qualify leads, convert prospects, train teams, and assist with packaging and pricing
- Address data fragmentation by helping MSPs consolidate their own data and offer data consolidation services to end users
- Create an “integrated IT orchestrator” with deep integration across Kaseya’s entire suite
- Feature a conversational interface where users can simply state what they want to do or ask questions
- Begin rolling out to users sometime in 2026
This follows the trend of managed service apps moving toward natural language chatbot interfaces, similar to what data protection vendor Slide has already implemented.
Why do we care?
GPT-5’s launch? Messy—but enterprises don’t care about vibes; they care about throughput and cost. Cursor and Vercel say it ships code better, and OpenAI turned GPT-4o back on because they met customer demand. Also: a 500-person sales team and a massive secondary on deck tells you they’re chasing long-term enterprise dollars. And at $1.25 in / $10 out per million tokens versus Claude’s $15 / $75, the math screams “standardize on GPT-5 where it fits.”
Apple just gave you the playbook for AI governance: feature toggles for ChatGPT Enterprise, controls for what data leaves the org, and extendibility to Anthropic and Google. That’s a service wrapper begging to be bundled. Package it with your mobile device management and policy templates, and you’ve got a governance upsell that delivers visible risk reduction. Think of it like firewall rules for AI—turnkey, simple, and billable.
Kaseya’s promising a chat-first MCP by 2026. Great—believe it when you can close tickets with it. Until then, do the unsexy work: clean data, codify SOPs, and keep your own automations vendor-agnostic. Slide’s already proving the pattern.
Bottom line: outcomes over hype—govern access, automate the grunt work, and prep your data so when the fancy interfaces show, you’re ready to cash in.