Blog

Two Conferences, One Consensus on Enterprise AI

IBM Think 2026 and Atlassian Team ’26 both took place last week in different cities, for different audiences, and with different product portfolios on stage. IBM gathered infrastructure architects and enterprise IT executives in Boston, while Atlassian convened developer teams, platform practitioners, and collaboration leaders in Anaheim.

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Data Center Power: The Transition to 800 VDC

For the past two decades, power architecture has evolved incrementally around a familiar model: utility AC enters the facility, passes through switchgear, transformers, UPS systems, power distribution units, and rack power shelves, and is ultimately converted to low-voltage DC for CPUs, GPUs, memory, networking, and storage.

That model worked for conventional enterprise and cloud computing. It was good enough when racks consumed 10kW, 20kW, or even 50kW, but it becomes far more difficult as AI infrastructure pushes rack densities toward hundreds of kilowatts and, in some designs, beyond 1MW.

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IBM’s AI Strategy: Play the Long Game, Not the Headlines

IBM reported 6% revenue growth, expanding margins, strong free cash flow, and software acceleration in its Q1’2026 earnings.

The more consequential signals, however, came from the strategic narrative beneath those figures. IBM is not competing for the most visible positions in AI, but rather building the infrastructure layer that enterprises will ultimately depend on, regardless of their more tactical AI choices.

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ServiceNow Earnings: The Real AI Story Isn’t What You Think

ServiceNow delivered a strong fiscal Q1 2026, exceeding guidance across revenue, margins, and bookings. This earnings call offers a clearer view of how AI is reshaping enterprise software and of ServiceNow’s role in that shift. The implications span pricing architecture, competitive positioning, labor economics, and how enterprises actually spend. 

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