Recommended Free Tools
Forecasts for 2025 anticipated wider use of AI agents at work, more AI-capable phones and PCs, uneven effects on jobs, and rising electricity demand from data centers. Those were projections, not proof of what happened: the sources available here do not provide a unified audit of every forecast against 2025 outcomes. This retrospective samples predictions from Deloitte Global alongside later assessments from the International Energy Agency (IEA), the World Economic Forum (WEF), and the U.S. Government Accountability Office (GAO). Their figures describe different populations, periods, and models.
What were the major AI predictions for 2025?
Deloitte Global’s November 19, 2024, Technology, Media & Telecommunications 2025 Predictions report made several concrete forecasts. They concern specific groups or shipment shares, not universal adoption.
| Topic | Deloitte Global’s forecast | What the figure means |
|---|---|---|
| AI agents at work | 25% of enterprises already using GenAI would deploy AI agents in 2025; the forecast rose to 50% by 2027. | The denominator is enterprises using GenAI, not all businesses. These are forecasts, not measured deployment rates. |
| AI-enabled phones | GenAI-enabled phones would account for more than 30% of 2025 smartphone shipments. | A forecast of shipment share; it does not establish how many owners used the features or found them valuable. |
| AI-capable PCs | PCs with local GenAI processing would account for around 50% of shipments. | A forecast about devices capable of local processing, not evidence of actual use or benefit. |
| Data-center electricity | Global data-center electricity use could roughly double to 1,065 TWh by 2030, described in the release as 4% of total global energy consumption. | A possible 2030 projection, not a measurement of 2025 consumption. |
| GenAI use by women in the U.S. | Women’s experimentation with and use of GenAI in the United States would equal or exceed men’s by the end of 2025. | A U.S.-specific forecast. Deloitte’s release said women’s use was half men’s in 2023 and that their adoption growth over the prior year was faster. |
All forecasts in the table are attributed to Deloitte Global’s November 2024 release. The stated shipment shares concern devices shipped, not installed base or consumer behavior.
Would AI agents become useful at work?
Deloitte’s agent forecast anticipated deployment among a portion of organizations already using GenAI; it did not establish that agents would become reliable or useful across workplaces. “Deployment” can cover a range of uses, and the forecast itself is not a productivity measurement.
The Tool Desk
Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →#1 Best Overall
In the January 2025 TIME roundup of expert views, Meta’s Ahmad Al-Dahle, Epoch AI’s Jaime Sevilla, Santa Fe Institute professor Melanie Mitchell, and Humane Intelligence CEO Rumman Chowdhury discussed the possibility of more capable agents alongside concerns that they could remain novel or risky in practice. These are attributed perspectives, not outcome data.
For a workplace, the practical test is whether an agent can complete a defined task accurately, within its permissions, and with a human able to review or correct the result. WEF’s 2025 Future of Jobs Report describes studies in which AI can enhance workers’ skills and performance, but also notes adverse results when people stretch systems beyond their capabilities. Neither the agent forecast nor this broad evidence supports assuming that every deployment improves work.
Rank #2
What did forecasts say about AI devices?
Deloitte’s phone and PC projections described the share of shipments expected to include GenAI features or local processing. Shipment forecasts can indicate how quickly AI-related hardware may enter the market, but they do not answer whether buyers will use those capabilities, whether features work well, or whether a new device is necessary for a particular person.
The distinction matters when reading device claims: capability at the point of sale is not the same as adoption, sustained use, or measurable benefit. Deloitte’s release supplies the forecast shares, but the sources covered here do not provide an outcome audit of those 2025 shipment predictions.
What did the forecasts and later reports say about jobs and skills?
WEF’s Future of Jobs Report 2025 describes rapid growth in GenAI investment and adoption across sectors, while stressing that diffusion is uneven. IT leads and construction lags; low-income economies remain largely on the margins. The report says generalized firm adoption remained low in 2023, and that long-term productivity gains remain uncertain. These statements describe patterns and uncertainties, not a prediction that all sectors or workers will be affected alike.
WEF also reports that investment flows into AI increased nearly eightfold since ChatGPT’s November 2022 release. Its discussion of Coursera data distinguishes individual learners’ focus on foundations such as prompt engineering and trustworthy AI from institution-sponsored learning focused on practical workplace applications. That difference suggests two useful preparation tracks:
- For individuals: learn how to frame tasks, check outputs, and recognize trustworthy-use limits.
- For organizations: pair practical tool training with task-specific review, clear accountability, and safeguards against using a system beyond its capabilities.
These are preparation priorities, not a guarantee of job security or productivity gains. WEF’s evidence points to possible task enhancement as well as adverse outcomes; it does not establish a universal pattern of job creation or displacement.
How much electricity might AI and data centers use?
Data-center electricity demand is a major infrastructure question, but Deloitte’s and the IEA’s figures should not be treated as measurements from the same model. Deloitte’s November 2024 forecast said global data-center electricity use could roughly double to 1,065 TWh by 2030. In its 2025 Energy and AI report, the IEA estimated that data centers used 415 TWh in 2024—around 1.5% of world electricity—and projected consumption of around 945 TWh in 2030.
Free tools Windows power users keep installed
One-click scans. No signup required.
| Source and publication year | Figure | Period and scope | Status |
|---|---|---|---|
| Deloitte Global, 2024 | 1,065 TWh; described as 4% of total global energy consumption | Possible global data-center electricity use in 2030 | Forecast |
| IEA, 2025 | 415 TWh; around 1.5% of world electricity | Estimated global data-center electricity consumption in 2024 | Estimate |
| IEA, 2025 | Around 945 TWh | Projected global data-center electricity consumption in 2030 | Projection |
The IEA says global data-center demand grew around 12% per year since 2017 and identifies AI as its most important growth driver alongside other digital services. The Deloitte and IEA 2030 totals differ; they are projections by different publishers and should remain separately attributed rather than blended into one settled figure. See the IEA’s Energy and AI executive summary for its estimate and projection.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What risks and uncertainties belong beside the predictions?
AI’s effects are not limited to convenience, investment, or productivity. GAO’s April 22, 2025, technology assessment describes risks including inaccurate or unsafe outputs, malicious use, misinformation, and worker displacement. It presents risks and policy options, not a claim that any one outcome is inevitable.
Environmental accounting also remains incomplete. GAO says: “Generative AI uses significant energy and water resources, but companies are generally not reporting details of these uses.” The agency notes limited estimates of water consumption, limited company reporting, and difficulty isolating GenAI’s share of data-center demand. Its assessment says effects remain uncertain because data are limited and AI is evolving rapidly. Read the full GAO-25-107172 technology assessment.
These limits affect how confidently readers can interpret both optimistic and alarming claims: a forecast is not a verified outcome, a device shipment is not proof of useful adoption, and a broad data-center total does not isolate AI’s share.
How should you judge whether a 2025 prediction came true?
A credible check needs an outcome source that matches the prediction’s population, geography, measure, and time period. For example, testing Deloitte’s agent claim requires data on enterprises already using GenAI and a consistent definition of agent deployment—not a survey of all firms or a count of announced pilots. Testing device forecasts requires shipment data, while testing usefulness requires evidence about actual use or results.
- Keep the denominator: distinguish GenAI-using enterprises from all businesses, and shipped devices from people using them.
- Match the measure: adoption, capability, productivity, and electricity consumption are different outcomes.
- Keep the scope: do not generalize a U.S. projection about women’s use to the world, or a global energy model to a specific country.
- Check the date and status: label figures as forecasts, estimates, or measured results, and identify the period they cover.
- Look for direct outcome evidence: the sources cited here do not provide a single harmonized audit of every named 2025 forecast.
Deloitte Global TMT Industry Leader Ariane Bucaille framed the choices around AI as consequential: “We are standing on the brink of a new era in human invention and the choices we make today around the development and use of artificial intelligence will shape the future.” That is an executive’s perspective from the November 2024 release, not a measured finding.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
