
AI ROIin Tech: What Leaders See
EY’s surveys show 96% of tech firms now report AI‑driven productivity gains, with cost reduction and new revenue as the top ROI drivers.
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EY’s surveys show 96% of tech firms now report AI‑driven productivity gains, with cost reduction and new revenue as the top ROI drivers.

Only 25% of AI projects hit ROI, but aligning leadership, picking automatable use cases, and using a clear measurement framework can lift success rates and deliver payback in months, especially for Israeli firms.

Studies show autonomous research agents produce stronger papers when they draw on existing literature, a benefit not seen in human‑written work.

Agentic AI lets software act like a digital coworker, and the market is set to grow from $7 bn in 2025 to over $139 bn by 2034, with Israeli firms able to see payback in under a year.

Memory, not model size, is the key differentiator for autonomous LLM agents, enabling them to retain context, improve accuracy by 27% and cut token costs by 35%.

n8n beats Power Automate on total cost while Power Automate offers tighter Microsoft integration; an Israeli support team can recoup a ₪45,000 automation investment in about six months with n8n.

n8n can be self‑hosted for free, but its Enterprise licence costs €8,000 / year; cloud plans start at $20 / month, offering a cost‑effective alternative for Israeli SMEs.

n8n beats Zapier on flexibility and cost for technical teams, while Zapier stays the easiest no‑code option for non‑technical users. An Israeli ROI example shows n8n can pay for itself in just over six months.

Make, n8n, Pabbly Connect, Automate.io and Integrately top the Zapier alternatives list for 2026, offering more integrations, AI agents and lower prices.

Salesforce’s rebuilt Slackbot AI agent is now generally available, turning Slack from a notification tool into a full‑featured workplace assistant that can search data, draft docs, and act on behalf of users.

Anthropic’s Claude Cowork lets anyone automate file‑based work on their desktop without coding, and it was built in just ten days using Claude Code.

NousCoder‑14B, an open‑source coding model trained in four days on 48 Nvidia B200 GPUs, reaches 67.87% Pass@1 on LiveCodeBench v6 – a strong result that rivals leading proprietary assistants while being free to use.
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