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Apple disclosed in its Q4 2026 earnings that annual research and development spending reached $45.77 billion, a 32% jump from $34.55 billion in fiscal 2025. Quarterly R&D spend in Q4 was $11.73 billion, up from $8.87 billion a year earlier but nearly flat versus Q3, rising by just $1 million.
Santander told CNBC its AI initiatives produced €194 million ($216 million) in business value across the first nine months of 2026, with CFO José García Cantera saying the technology is now cutting costs and boosting revenue simultaneously. Novartis and Standard Chartered also cited AI contributions to third-quarter results, though Novartis did not break out a specific figure from its $6.04 billion core operating income.
An Entrepreneur opinion piece cites Stanford University's 2026 AI Index showing global corporate AI investment reached roughly $581.7 billion in 2025, with private investment up 127.5% and generative AI investment more than doubling. It also references a McKinsey survey finding 88% of organizations use AI in at least one business function, though only 7% say AI has scaled into measurable value.
Anthropic's S-1 filing reportedly shows revenue growing fourteenfold to $16.3 billion in the first half of 2026 compared with the same period the prior year, alongside an $80 billion loss attributed largely to accounting factors. Excluding that charge and other costs like employee compensation, the company reported about $1.62 billion in adjusted income for the first half of 2026, and the filing names only OpenAI and Google as competitors.
Meta announced in its third-quarter earnings report that it will create a new class of non-voting shares, with trading set to begin in 2027. The company said proceeds would support AI infrastructure investment, potential acquisitions, and employee compensation. Meta also raised its 2025 capital expenditure forecast to between $135 billion and $145 billion.
New research finds that despite rising AI investment, most organizations are not seeing the returns they expected. Many companies are simply layering AI tools onto existing workflows rather than rethinking them, and only 5% of organizations are actually redesigning how work gets done around AI.
IMF Managing Director Kristalina Georgieva told a Singapore audience that AI investment is becoming a major driver of national economic fortunes, but warned that AI advancement, high energy costs and record public debt are straining already weak global growth. She described the economy as pulled between a negative energy shock from the Gulf war and a positive demand shock from AI investment, calling the combined effect highly uneven worldwide.
Analysts and industry forecasts cited suggest that for current AI investment levels to be justified, American consumer and business spending on AI technology would need to rise to roughly 9% of GDP—comparable to what households spend on food. The comparison highlights the scale of spending growth implicitly assumed by bullish AI investment projections.
An advisor recounts working with leaders at major companies, including a CEO of a $2 billion-revenue firm, who privately admitted deep uncertainty about their AI investments despite projecting public confidence. The piece argues that executives across industries are making AI decisions with incomplete information, and that unspoken fear often drives delays disguised as caution.
New polling cited from Just Capital finds 78% of daily AI users believe development should slow so companies can address safety and ethics concerns. Separately, a PwC survey of CEOs found 56% report no revenue or cost benefit from their AI investments, while only 12% say they've captured both types of gains.
Bessemer Venture Partners announced it has closed $5.75 billion across two new funds aimed at investing across the AI stack, splitting the capital into $1.75 billion for seed and early-stage deals and $4 billion for growth-stage startups. The firm says it has already deployed $3 billion into more than 260 AI-native companies since 2022, spanning compute, infrastructure, foundation models, dev tools and agentic technology.
MIT Technology Review reports that smart glasses are enabling covert recording, non-consensual image sharing and police surveillance in India, with experts warning such incidents will grow as the devices go mainstream. Separately, the outlet cites University of Pennsylvania finance professor Jessica Wachter's analysis showing hyperscalers are on track to spend nearly $1.1 trillion on AI data centers through 2027, requiring extraordinary earnings growth to break even by 2030.