IREN Signs $2.8B AI Contracts, Raises 2026 ARR Target to Over $4B IREN (NASDAQ: IREN) announced it has raised its year-end 2026 AI Cloud annualized run-rate revenue (ARR) target from $3.7 billion to more than $4 billion, citing new multi-year cloud services agreements with leading AI developers. The company reported that approximately 85% of the $4 billion ARR target is now under contract, supported by deals totaling $2.8 billion in value. These agreements, which include partnerships with Microsoft, NVIDIA, and several AI specialists, are expected to span an average of four years. The contracts also feature customer prepayments covering about 45% of the associated GPU capital expenditures, reducing IREN’s net funding requirements for these deployments. As of June 30, 2026, IREN held approximately $7.6 billion in cash and cash equivalents, including $1.7 billion in restricted cash tied to GPU financing. The company’s self-built AI Cloud capacity has expanded from 3 megawatts to 480 megawatts in 12 months, with a target of 1.2 gigawatts by 2027. IREN’s customer base now includes Microsoft, NVIDIA, Perplexity, Figure AI, Together AI, Fluidstack, Fireworks AI, Fal AI, Hume AI, and a new leading AI developer. The company emphasized its selective approach to capacity allocation, prioritizing diversification and growth across its platform. Demand from hyperscalers, enterprises, AI developers, and frontier labs continues to exceed available capacity, with IREN engaged in expansion programs for 2026 and 2027. Daniel Roberts, Co-Founder and Co-CEO of IREN, stated: “Our vertically integrated AI Cloud platform is scaling at pace. In the past 12 months, we have expanded from approximately 3MW of self-built AI Cloud capacity to 480MW being delivered this year, with 1.#microsoft #nvidia #perplexity #iren #figure_ai
Snap Issues Cautious Guidance Amid Perplexity Deal Termination and Middle East Uncertainty Snap Inc. reported first-quarter earnings on Wednesday, revealing a cautious outlook for sales while confirming it no longer has a partnership with generative AI startup Perplexity. The company disclosed that its sales guidance for the period assumes no contribution from Perplexity, as the $400 million collaboration, announced in November, ended amicably in Q1. Snap’s shares fell about 4% in extended trading following the report. The earnings report highlighted mixed results. Snap’s revenue reached $1.53 billion, matching Wall Street expectations, but the company faced challenges in advertising growth. Large advertisers in North America remained a headwind, though the firm noted “encouraging signs” of improvement in this segment. Global daily active users (DAU) rose to 483 million, surpassing the 475.6 million expected, driven by updates to features like Lenses and Snap Map. However, the company acknowledged a 3 million decline in DAU quarter-over-quarter in February, attributed to reduced marketing spending and the impact of Australia’s social media minimum age act. Snap’s net loss for the quarter was $89 million, a 36% improvement from the $139.6 million loss in the prior year. The company emphasized progress in key areas, including “accelerated revenue growth, expanded margins, and strong free cash flow.” CEO Evan Spiegel stated, “In Q1, we returned to growth in daily active users, accelerated revenue growth, expanded margins, and generated strong free cash flow.” Looking ahead, Snap projected second-quarter sales between $1.52 billion and $1.55 billion, with the midpoint aligning with analyst estimates of $1.54 billion.#middle_east #perplexity #snap_inc #evan_spiegel #snap_map
Agentic Scenarios Every Marketer Must Prepare For The rise of AI agents is set to redefine how consumers interact with brands and how companies approach marketing. While the exact trajectory of this transformation remains uncertain, experts at BCG have outlined four plausible scenarios that could shape the future of marketing. These include an open agentic bazaar, a brand resurgence through data ecosystems, a super-app embrace, and a creator-led authenticity revival. Each scenario presents unique challenges and opportunities, requiring marketers to adapt their strategies to evolving consumer behaviors and technological advancements. In the open agentic bazaar, AI agents could autonomously manage purchases, learning consumer preferences and completing transactions with minimal human intervention. Examples like Amazon’s Smart Reorders and Instacart’s reordering features hint at this automation-first path. Conversely, a market where AI agents act as intelligent advisors would allow consumers to retain decision-making control while benefiting from curated recommendations and comparisons. Platforms such as ChatGPT and Perplexity have already introduced shopping assistants that guide product discovery without fully automating purchases. Another potential future involves a marketplace where social networks drive discovery, with recommendations from friends, influencers, and communities influencing AI agents’ decisions. This scenario could professionalize the business of taste, as seen in the rapid growth of TikTok Shop and Instagram Shopping, which blend discovery, influence, and transactions into a single social stream.#amazon #chatgpt #bcg #instacart #perplexity
